Hemispheric asymmetries for global and local processing as a function of stimulus exposure duration
Transcript of Hemispheric asymmetries for global and local processing as a function of stimulus exposure duration
Hemispheric asymmetries for global andlocal processing as a function of
stimulus exposure duration
Denise L. Evert* and Meghan Kmen
Psychology, Skidmore College, Saratoga Springs, NY 12866, USA
Accepted 13 August 2002
Abstract
The experiments assess the relationship between stimulus exposure duration and hemi-
spheric asymmetries for global and local processing. Six durations (27, 40, 53, 67, 80, and
147ms) were tested in a selective attention task in which hierarchical letterforms were pre-
sented unilaterally to the left or right visual field. The results indicated that left hemisphere-
local asymmetries were demonstrated more often than right hemisphere-global asymmetries
and that asymmetries were most commonly found in the middle range of durations tested. The
pattern of results emphasizes the importance of further study into those conditions under
which the predicted asymmetries can be reliably demonstrated in healthy individuals.
� 2003 Elsevier Science (USA). All rights reserved.
Keywords: Global and local processing; Levels of processing; Hemispheric asymmetries; Hemispheric
specialization; Task demands; Exposure duration; Selective attention
1. Introduction
The limited processing capacity of the brain makes it impossible to process all of
the information impinging upon our senses at any one point in time with equal ef-
ficiency. Thus, some mechanism that allows us to direct our attention is required.This mechanism is selective attention, directing our focus to those aspects of the
environment that are most relevant to our current goal-directed behavior. Visual
selective attention can be directed to a particular region of space in preparation for
the processing of information to be presented at that location (spatially based at-
tention). Pre-cueing paradigms have widely been used to manipulate the direction of
such visual selective attention (e.g., Evert & Oscar-Berman, 2001; Posner, 1980;
Posner & Petersen, 1990; Verfaellie, Bowers, & Heilman, 1988). Visual selective at-
tention also can be directed to specific objects, or levels of objects, within a region ofspace (object-based attention). For example, attention can be directed toward a more
global level (e.g., attending to the overall configurations made by a marching band
during a halftime show), or toward a more local level (e.g., attending to one of the
Brain and Cognition 51 (2003) 115–142
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*Corresponding author. Fax: 1-518-580-5319.
E-mail address: [email protected] (D.L. Evert).
0278-2626/03/$ - see front matter � 2003 Elsevier Science (USA). All rights reserved.
doi:10.1016/S0278-2626(02)00528-6
trumpet players in the marching band who just tripped and fell). Global and local
levels of processing are not, however, absolute. In the example above, attention to
the fallen trumpet player could also represent global processing while attention to
the redness of his/her face could represent local processing. Thus, global and local
levels are relative, not absolute. Hierarchical figures consisting of larger letters or
shapes composed of smaller letters or shapes (e.g., the letter H comprised of smaller
I�s) often are used to assess global and local processing (e.g., Navon, 1977).
Investigations of global and local levels of processing point to three intriguingphenomena: global precedence, inter-level interference effects, and hemispheric
asymmetries for global and local processing. Global precedence refers to the finding
that global information is generally processed more efficiently than detailed local
information (Navon, 1977).1 This precedence is inferred from findings of faster and/
or more accurate responding when attention is directed to the global level of a
stimulus relative to when attention is directed to the local level of the stimulus (e.g.,
Luna, 1993; Navon, 1977). Inter-level interference effects can be observed when the
global and local stimuli of a hierarchical figure differ from each other; often times,the interference effects are asymmetric (e.g., Boles & Karner, 1996; Martin, 1979;
Navon, 1977). For example, an inconsistent global distractor (e.g., the letter H) may
interfere with the processing of the local elements of that figure (e.g., I�s), whereas aninconsistent local distractor will provide little, if any, interference on the processing
of the global figure. Thus, even when participants are asked to attend exclusively to
the local elements, an inconsistent global distractor can interfere with the efficiency
of processing (e.g., identification) of the local form. Although asymmetric interfer-
ence effects support the phenomenon of global precedence, inter-level interference,and global precedence are dissociable (Lamb & Yund, 1996).
Of particular interest to the studies reported here is the third phenomenon,
namely the evidence suggesting that the hemispheres of the brain differ in the effi-
ciency with which they process global and local information. More specifically, the
right hemisphere (RH) appears to be more specialized for global processing and the
left hemisphere (LH) appears to be more specialized for local processing. There is
converging evidence for these hemispheric asymmetries from studies with brain
damaged individuals (Delis, Robertson, & Efron, 1986; Doyon & Milner, 1991;Lamb, Robertson, & Knight, 1990; Rafal & Robertson, 1995; Robertson, Lamb, &
Knight, 1988), functional brain imaging studies (Fink et al., 1996, 1997b, Fink,
Marshall, Halligan, & Dolan, 1999; Martinez et al., 1997; but see Fink et al., 1997b),
event-related potential (ERP) studies (Heinze, Hinrichs, Scholz, Burchert, & Man-
gun, 1998; but see Johannes, Wieringa, Matzke, & Munte, 1996), behavioral studies
with animals (Fagot & Deruelle, 1997; Hopkins, 1997), and behavioral studies with
healthy humans (Banich & Noll, 1993; Blanca, Zalabardo, Gar�ıı-Criado, & Siles,
1994; Hellige, Corwin, & Jonsson, 1984; H€uubner, 1997, 1998; Kimchi & Merhav,1991; Martin, 1979; Martinez et al., 1997; Robertson, Lamb, & Zaidel, 1993; Ser-
gent, 1982; Van Kleeck, 1989 [meta-analysis], Versace & Tiberghien, 1988; Yovel,
Yovel, & Levy, 2001). However, while many behavioral studies with healthy indi-
viduals have found evidence to support the predicted asymmetries, findings from
other studies with healthy individuals have not supported such a dichotomy (Ali-
visatos & Wilding, 1982; Blanca Mena, 1992; Boles, 1984; Boles & Karner, 1996;
Lamb & Robertson, 1988; Polich & Aguilar, 1990; Van Kleeck, 1989 [non meta-
analysis]).
1 Although Navon (1977) originally argued that global and local information are processed sequentially,
with the global level being processed first, others have demonstrated that information from the global and
local levels can be processed in parallel (e.g., Hoffman, 1980; H€uubner, 1997; Kinchla, Solis-Macias, &
Hoffman, 1983; Miller, 1981). Thus, global precedence is here referred to as more efficient processing of
global information without making specific claims about the time course of such processing.
116 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
The inconsistency in demonstrating hemispheric asymmetries for global and local
processing in behavioral studies with healthy humans was of most interest here. One
explanation given for the inconsistent results among healthy humans is that the
expression of hemispheric specialization for global and local processing may be
dependent upon the relative visibility of the stimuli in the experiment (Blanca et al.,
1994). This hypothesis suggests that as task demands are increased and stimulus
visibility decreases, there is a greater likelihood of demonstrating hemispheric
asymmetries. Although there are a multitude of ways in which stimulus visibility canbe manipulated in a particular study (e.g., eccentricity, size, and spatial frequency
content), this discussion focuses on the manipulation of the exposure duration of the
stimuli. Two studies have directly addressed the relationship between stimulus ex-
posure duration and hemispheric asymmetries for global and local processing
(Blanca et al., 1994; Boles & Karner, 1996).
In a study by Blanca et al. (1994), hierarchical stimuli were placed either in the
right visual field or the left visual field for a time period of either 50, 100, or 200ms.
Participants were asked whether a target was present or absent. On target present
trials, the target could appear at the global level, the local level, or both levels.
Blanca et al. (1994) found that there was a RH (left visual field) accuracy advantage
for detecting the target when it was presented at the global level, and a LH (right
visual field) accuracy advantage when the target was presented at the local level,
consistent with the predicted asymmetries. However, of most interest is that these
accuracy advantages were found only when the stimulus exposure duration was
50ms, not when it was 100 or 200ms. Blanca et al. (1994) concluded that the
demonstration of hemispheric asymmetries for global and local processing in healthyindividuals is complex and may depend on specific experimental conditions. They
suggest that the common denominator necessary to demonstrate hemispheric spe-
cialization for global and local processing may be a reduction of stimulus visibility.
Boles and Karner (1996) further tested the stimulus visibility hypothesis. The
stimuli used in their experiment (Experiment 3) were hierarchical figures presented
bilaterally (i.e., simultaneously in both visual fields), for either 33 or 100ms. By
decreasing the exposure duration to 33ms (as compared to Blanca et al.�s 50ms),
they hoped to produce an even stronger test of the stimulus visibility hypothesis.Participants were asked to attend to either the global or local level and to report the
letter presented at that level. The results of this experiment were not, however,
consistent with Blanca et al.�s (1994). In fact, Boles and Karner�s (1996) results forthe accuracy data indicated that at both exposure durations, there was a RH (left
visual field) advantage for processing the local elements (opposite to the predicted
results); this advantage was significant for the 33ms condition and marginally sig-
nificant for the 100ms condition. Although there were no statistically significant
effects for the response time data, the pattern of results indicated a RH response timeadvantage both for global (visual field diff.¼ 28ms) and local (visual field
diff.¼ 42ms) processing. Thus, the predicted asymmetries were not demonstrated at
either the shorter (33ms) or the longer (100ms) exposure duration.
Boles and Karner (1996) concluded that the results are consistent with previous
findings that the RH has a general advantage over the LH under degraded stimulus
conditions (Bradshaw & Nettleton, 1983; Bryden & Allard, 1976; Hellige, 1980).
They argued that consistent with this explanation is the greater RH advantage at the
33ms exposure duration when participants were asked to attend to the small localletters (i.e., the most impoverished condition). Thus, according to this explanation,
the hemispheric asymmetry is more a function of perceptual characteristics than with
global or local processing per se. Blanca et al. (1994), however, contend that the
findings in their own study argue against the hypothesis that the hemispheric
asymmetries are simply due to the fact that the RH has been shown to be more
specialized for processing perceptually degraded stimuli. They argue that if this were
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the case, then shorter exposure durations should favor RH processing regardless of
whether global or local processing is involved, and longer exposure durations should
favor LH processing, and this was not the case in their study.
Taken together, the two studies that have assessed the effects of an exposure
duration manipulation on hemispheric asymmetries for global and local processing
found quite discrepant findings and hence proposed two very different hypotheses to
account for the pattern of results found in each of their studies. One should note that
there were methodological differences between the two studies. For example, Blancaet al. (1994) used a divided attention task and Boles and Karner (1996) used a se-
lective attention task. Because some behavioral studies have found the predicted
asymmetries using selective attention tasks (e.g., Martin, 1979; Robertson et al.,
1993; Yovel et al., 2001) and others have found them using divided attention tasks
(Blanca et al., 1994; Sergent, 1982; Yovel et al., 2001), it is unlikely that this
methodological difference contributed significantly to the discrepant results between
the two studies. Another methodological difference was that Blanca et al. (1994)
presented the stimuli to either the left or right visual field, while Boles and Karner(1996) presented the stimuli bilaterally. Although many studies of global/local pro-
cessing present stimuli unilaterally, Boles (1991, 1994, 1995) has found that bilateral
presentations of stimuli lead to reliable hemispheric differences in a number of tasks.
Thus, it is also unlikely that this methodological difference can account for the
difference in the pattern of results.
Clearly, definitive conclusions regarding the relationship between exposure du-
ration and global/local processing asymmetries based only on these two studies are
premature. Continued investigation of this relationship allows for further testing ofthe two hypotheses presented here: (1) that increased task demands (that possibly
limit stimulus visibility) are necessary to demonstrate expected hemispheric asym-
metries for global and local processing (hereafter referred to as the task demand
hypothesis) and (2) that hemispheric asymmetries under degraded conditions favor
RH specialization regardless of whether global or local processing is engaged (RH
degradation hypothesis).
In evaluating these two hypotheses, it is important to consider that they may not, in
fact, be mutually exclusive, which may account for the discrepant results mentionedabove. Specifically, the demonstration of hemispheric asymmetries for global and local
processing may be primarily manifested within a limited temporal range. Because of
the efficiency with which an intact brain can process information, and because hemi-
spheric specialization of function is relative, not absolute, there may be an upper ex-
posure duration threshold above which either hemisphere can perform the task
efficientlywithout the need to ‘‘call upon’’ themore specialized hemisphere.Hence, one
would not expect to see the predicted asymmetries. Furthermore, there may be some
lower exposure duration threshold belowwhichpredicted hemispheric asymmetries forglobal and local processing alsomay no longer be evident. In otherwords, theremay be
some point at which it is difficult to demonstrate asymmetries for global/local pro-
cessing per se because task demands are simply too difficult, even for the more spe-
cialized hemisphere. Itmay be at this point that theRH ‘‘takes over’’ and demonstrates
a general advantage for processing the perceptually degraded stimuli regardless of
whether attention is directed to the global or local level of the stimulus.
The experiments presented here were designed to further test these hypotheses
regarding the relationship between stimulus exposure duration and hemisphericspecialization for global and local processing. A wider range and a larger sample of
exposure durations were used across the experiments: 27, 40, 53, 67, 80, and 147ms
(due to the refresh rate of the computer monitor we were unable to replicate the 33
and 50ms exposure durations used in other studies). We expected that extending this
range would allow for a more sensitive and extensive test of the effects of exposure
duration on asymmetries for global and local processing, and would specifically
118 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
allow us to assess whether or not there is a critical temporal window within which
hemispheric asymmetries for global and local processing can be demonstrated.
The same general methods and procedure were used in each of the experiments.
Hierarchical letterforms were presented unilaterally to either the left or right visual
field and participants were asked to report either the global or local letter (depending
on the condition). In Experiment 1, we assessed global and local processing at ex-
posure durations of 53 and 147ms. In Experiment 2, we used 40, 53, and 80ms. And,
in Experiment 3, we used 27, 40, and 67ms. The 53ms condition in Experiment 2 wasincluded in hopes of replicating the results for this condition in Experiment 1 and the
40ms condition in Experiment 3 was included in hopes of replicating the results for
this condition in Experiment 2. The other exposure durations were used to expand
the range of durations tested. Furthermore, given the inconsistent findings across
studies in assessing hemispheric asymmetries, a secondary goal of ours was to further
check for reliability of the results within our own laboratory. Thus, each of the three
original experiments was replicated: Experiments 1-R, 2-R, and 3-R (R, replication).
Within the global/local processing literature, LH specialization for local pro-cessing is most often operationally defined as faster and/or more accurate responding
to targets presented in the right visual field relative to the left visual field, whereas
RH specialization for global processing is defined by the opposite pattern of results.
According to the task demand hypothesis, a LH-local advantage and a RH-global
advantage are expected to appear only at shorter exposure durations and/or to be of
a larger magnitude at shorter durations than at longer durations. According to the
RH degradation hypothesis, RH specialization is expected at shorter exposure du-
rations regardless of level of processing.
2. Experiments
2.1. Materials and methods
2.1.1. Participants
The participants included Skidmore College undergraduates, undergraduatesfrom other institutions who were enrolled in a summer research program in the
psychology department, high school students who were enrolled in other Skidmore
summer programs, and volunteers from the Skidmore community. Participants
during the academic year received credit towards their Introduction to Psychology
research requirement and participants during the summer were paid $4 each. A
different group of participants was used for each experiment. All of the participants
provided informed consent before beginning the study.
A handedness questionnaire and a brief demographic and medical history inter-view were administered to each participant. All participants were required to meet
the following criteria: right-handed, normal or corrected-to-normal vision, and no
history of a lazy eye, learning disability, mental illness, or neurological impairment.
Table 1 presents for each of the six experiments the number of participants, the mean
age and age range of the participants, and the number of females and males tested.
2.1.2. Apparatus and stimuli
A power Macintosh 6500 with a high-resolution 15-in. color monitor (800� 600,75Hz, Mac Std Gamma, refresh rate¼ 13.3ms) was used to present the stimuli and
record the responses. Millisecond timing of stimulus presentation and response was
controlled by PsychLab (Gum, 1997). A PsyScope button box (MacWhinney, 1996)
was used to register the participants� responses. The participants placed their heads
in an opthamalogic chin rest to ensure that their heads would not move throughout
the task.
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 119
The stimuli consisted of hierarchical letterforms constructed out of the letters H
and I (black letters presented on a white background). The size of the global letterwas 4.0� (width)� 6.1� (height) and the sizes of the local elements were 0:46�� 0:64�.The distance between each of the local letters (vertically and horizontally) was 0.30�.These dimensions are very similar to those used by Blanca et al. (1994). The lumi-
nance of the black level used for the stimuli was 0.17 cd/m2 and the luminance of the
white level used for the background was 110.07 cd/m2, as measured by a ColorVision
spectraphotometer (OptiCal, 2002). The total average luminance, which takes into
consideration the ratio of white to black pixels for a typical stimulus, was also
measured by randomly sampling across the stimulus; this value was 99.93 cd/m2.The first four trials of each block were used to allow the participants to acclimate
themselves to the task. These four trials were excluded from the final data analysis.
Of the remaining trials within a block, half of the time the letterform was presented
in the right visual field and the other half of the time it was presented in the left visual
field. For targets presented in each visual field, on half of the trials the stimuli were
consistently mapped (i.e., a large H made of small H�s, and a large I made up of
smaller I�s), and on the other half they were inconsistently mapped (i.e., a large H
made up of small I�s, and a large I made up of smaller H�s) (see Fig. 1). Within eachmapping condition, half of the time the global letter was an H and the other half
of the time the global letter was an I. Thus, there were eight possible stimulus
presentation conditions (e.g., consistently mapped global H presented in the LVF;
Fig. 1. Examples of the stimuli used in experiments: inconsistently mapped stimuli; consistently mapped
stimuli.
Table 1
Participant demographics for each of the experiments
Participants Mean age Age range Females/males
Experiment 1 (53, 147ms) n ¼ 38 18 years 16–24 years (unavailable)
Experiment 1-Ra n ¼ 30 18 years 17–19 years 25 Females, 5 males
Experiment 2 (40, 53, 80ms) n ¼ 23 23 years 18–50 yearsb 14 Females, 9 males
Experiment 2-R n ¼ 35 20 years 15–24 years 20 Females, 15 males
Experiment 3 (27, 40, 67ms) n ¼ 24 22 years 16–22 years 17 Females, 7 males
Experiment 3-R n ¼ 24 19 years 17–39 years 18 Females, 6 males
aR, replication experiment.bWithout the 50-year-old participant, the mean age of the remaining participants was 22 years (range
18–36).
120 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
inconsistently mapped global I [with local H�s] presented in the RVF). Within each
block of trials, each of the eight conditions was repeated 10 times for those exper-
iments in which only two exposure durations were used (Experiments 1 and 1-R), or
repeated 6 times for those experiments in which three exposure durations were used
(Experiments 2, 2-R, 3, and 3-R). The trial order within each block was randomized
with the criterion that no more than two trials for any of the eight stimulus condi-
tions were consecutively presented.
2.1.3. Procedure
Participants sat 57 cm away from the screen. First, a black fixation point appeared
in the center of the screen for 1500ms. The participants were instructed to keep their
eyes focused on the center of the screen throughout the task. After an inter-stimulus
interval (ISI) of 100ms, either a consistently or an inconsistently mapped hierar-
chical letterform was laterally presented (i.e., either in the left or right visual field).
The inner edge of the hierarchical letterform was presented 2.0� of eccentricity away
from the central fixation point. These figures were presented for a time period of 53or 147ms (Experiments 1 and 1-R), 40, 53, or 80ms (Experiments 2 and 2-R), or 27,
40, or 80ms (Experiments 3 and 3-R).
For half of the experimental blocks of trials, participants were instructed to in-
dicate as quickly and accurately as possible if the global letter was an H or an I by
pressing the corresponding button with the index finger of their right hand (global
attention condition). For the other half, participants were asked to indicate as
quickly and accurately as possible if the local letter was an H or an I by pressing the
corresponding button on the response box (local attention condition). One globalattention block of trials and one local attention block of trials were presented for
each exposure duration condition. Approximately half of the participants were
randomly assigned to complete the global attention task first at each exposure du-
ration and the others were assigned to complete the local attention condition task
first. Within each condition, the order of the different exposure duration blocks was
counterbalanced. The H and I buttons were horizontally aligned and the letter-to-
button correspondence was also counterbalanced across participants.
Participants were given a short practice block prior to each attention conditiontask (global and local) to ensure that they understood the directions and were able to
perform the task. The first practice block consisted of 16 trials and the second
practice block consisted of 8 trials. The participants completed two experimental
blocks at each exposure duration. Each block lasted approximately 4 1/2min and
rest periods were given between each block. Participants were debriefed upon
completion of the experiment.
3. Results
3.1. Response time analyses
The following trials were excluded from the response time analysis: the first four
trials of each block, trials in which response times were more than two standard
deviations from the mean within each experimental condition (outliers), and trials
with incorrect responses. Separate repeated measures analyses of variance (ANO-VA�s) were performed on the mean correct response time data (reported in milli-
seconds) for each exposure duration condition within each experiment (this resulted
in 16 different analyses, i.e., two analyses both for Experiment 1 and 1-R, and three
analyses for Experiments 2, 2-R, 3, and 3-R). A preliminary analysis for each ex-
periment revealed that the factor of Target Letter did not alter the interpretation of
the results related to the hypotheses of this study, thus all subsequent analyses were
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 121
collapsed across this variable. The three within-subjects variables were Target Level
(attention to either the local or global letter), Visual Field in which the hierarchical
letterform was presented (left visual field or right visual field), and Mapping (con-
sistent, inconsistent). Exposure duration was not included as a factor because dif-
ferent combinations of exposure durations were used across the experiments and we
were not interested in whether the particular combination of durations used within
an experiment had a differential effect. Rather, we were most interested in comparing
across the different experiments to specify the range of durations within whichhemispheric asymmetries can be found and thus conducted the planned comparisons
within each exposure duration condition.
Although the primary interest of this report was to present findings related to
hemispheric specialization for global and local processing at different exposure du-
rations, the findings related to global precedence and inter-level interference effects
are reported following the presentation of results with respect to hemispheric
asymmetries.
3.1.1. Hemispheric asymmetries
The means and standard errors (SE) for each experimental condition related to
hemispheric asymmetries are presented in Tables 2–4. Also included in these tables
are the results for the Target Level�Visual Field interaction and, when this inter-
action was statistically significant, the individual means comparisons.
These analyses indicated that under those conditions in which statistically sig-
nificant hemispheric asymmetries were found, the results were always in the expected
direction (i.e., a LH advantage for local processing and a RH advantage for globalprocessing). Across the different exposure duration conditions, a LH advantage for
local processing was found more frequently (eight times) than a RH advantage for
global processing (two times).
The LH-local advantage was primarily found between the exposure durations of
53 and 80ms. The most consistent finding was that a LH-local advantage was found
for each 53ms exposure duration condition (Experiments 1, 1-R, 2, and 2-R) and for
each 67ms exposure duration condition (Experiments 3, 3-R) tested. At one of the
two 80ms conditions, this LH-local advantage was marginally significant (Experi-ment 2-R) and there was a significant LH-local advantage for one of the four 40ms
conditions (Experiment 3-R). A RH-global advantage was found in only two in-
stances: one of the 67ms conditions (Experiment 3-R) and one of the 40ms condi-
tions (Experiment 2). There was only one instance in which both a LH-local and a
RH-global advantage were found at the same exposure duration (67ms: Experiment
3-R). Finally, no asymmetries were found at the longest (147ms: Experiments 1, 1-R)
or shortest (27ms: Experiments 3, 3-R) exposure durations tested.
In comparing the results for the original and replication experiments, the findingsfor Experiment 1 were fully replicated in Experiment 1-R. In both cases, a LH-local
advantage was found for the 53ms condition and no hemispheric asymmetries were
found for the 147ms condition. For Experiments 2 and 2-R, a LH-local advantage
was found for the 53ms condition; however, the findings for the 40 and 80ms
conditions differed for each experiment. And, for Experiments 3 and 3-R, the ab-
sence of a hemispheric asymmetry was found for the 27ms condition; however, the
results for the 40 and 67ms conditions differed for each experiment.2
2 It should be noted that the use of only right-handed responses, while problematic for explaining main
effects of visual field, is not problematic for the interpretation of the results presented here because only
interactions between Visual Field and Target Level were used as evidence for hemispheric asymmetries in
global and local processing.
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Table 2
Hemispheric asymmetry results for Experiments 1 and 1-R (including mean response times and standard errors for each condition, and results from ANOVA data analyses)
Local target level Global target level Target level�Visual field interaction Summary
Experiment 1
53ms LVF > RVF LVF ¼ RVF F ð1; 37Þ ¼ 7:00, p < :05 Local: LH advantage
659(19) 643(19) 565(16) 562(16) Global: No asymmetry
[F ð1; 37Þ ¼ 19:52, p < :001] [F ð1; 37Þ < 1]
147ms LVF RVF LVF RVF F ð1; 37Þ ¼ 1:72 Local: No asymmetry
657(17) 647(18) 566(16) 564(14) Global: No asymmetry
Experiment 1-R
53ms LVF > RVF LVF ¼ RVF F ð1; 29Þ ¼ 3:79, p < :06 Local: LH advantage
682(21) 666(20) 588(20) 590(20) Global: No asymmetry
[F ð1; 29Þ ¼ 6:55, p < :05] [F ð1; 29Þ < 1]
147ms LVF RVF LVF RVF F ð1; 29Þ ¼ 1:38 Local: No asymmetry
668(21) 659(22) 610(21) 614(21) Global: No asymmetry
LVF, left visual field presentation of hierarchical letterform; RVF, right visual field presentation; LH, left hemisphere; RH, right hemisphere. Standard errors are presented in ( ).
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Table 3
Hemispheric asymmetry results for Experiments 2 and 2-R
Local target level Global target level Target level�Visual field interaction Summary
Experiment 2
40ms LVF ¼ RVF LVF < RVF F ð1; 22Þ ¼ 4:01, p < :05 Local: No asymmetry
614(24) 610(27) 575(23) 594(22) Global: RH advantage
[F ð1; 22Þ < 1] [F ð1; 22Þ ¼ 5:98, p < :05]
53ms LVF > RVF LVF ¼ RVF F ð1; 22Þ ¼ 8:22, p < :01 Local: LH advantage
601(18) 576(19) 572(26) 577(23) Global: No asymmetry
[F ð1; 22Þ ¼ 10:09, p < :01] [F ð1; 22Þ < 1]
80ms LVF RVF LVF RVF F ð1; 22Þ ¼ 2:45 Local: No asymmetry
609(26) 604(26) 583(25) 596(24) Global: No asymmetry
Experiment 2-R
40ms LVF RVF LVF RVF F ð1; 34Þ ¼ 1:93 Local: No asymmetry
721(38) 701(37) 607(31) 610(26) Global: No asymmetry
53ms LVF > RVF LVF ¼ RVF F ð1; 34Þ ¼ 13:78, p < :001 Local: LH advantage
718(38) 682(32) 604(32) 612(34) Global: No asymmetry
[F ð1; 34Þ ¼ 15:56; p < :001] [F ð1; 34Þ < 1]
80ms LVF > RVF LVF ¼ RVF F ð1; 34Þ ¼ 5:43, p < :05 Local: LH advantage
682(33) 668(30) 593(26) 602(25) Global: No asymmetry
[F ð1; 34Þ ¼ 3:27, p < :08] [F ð1; 34Þ ¼ 1:72]
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Table 4
Hemispheric asymmetry results for Experiments 3 and 3-R
Local target level Global target level Target level�Visual field interaction Summary
Experiment 3
27ms LVF RVF LVF RVF F ð1; 23Þ ¼ 3:85 Local: No asymmetry
730(31) 709(28) 629(31) 645(32) Global: No asymmetry
40ms LVF RVF LVF RVF F ð1; 23Þ < 1 Local: No asymmetry
731(30) 719(30) 638(31) 639(29) Global: No asymmetry
67ms LVF > RVF LVF ¼ RVF F ð1; 23Þ ¼ 5:81, p < :05 Local: LH advantage
715(29) 697(28) 631(27) 646(29) Global: No asymmetry
[F ð1; 23Þ ¼ 4:21, p < :05] [F ð1; 23Þ ¼ 2:42]
Experiment 3-R
27ms LVF RVF LVF RVF F ð1; 23Þ < 1 Local: No asymmetry
649(27) 646(28) 565(22) 572(26) Global: No asymmetry
40ms LVF > RVF LVF ¼ RVF F ð1; 23Þ ¼ 11:69, p < :01 Local: LH advantage
655(32) 628(30) 566(26) 573(25) Global: No asymmetry
[F ð1; 23Þ ¼ 8:70, p < :01] [F ð1; 23Þ ¼ 1:67]
67ms LVF > RVF LVF < RVF F ð1; 23Þ ¼ 7:31, p < :01 Local: LH advantage
626(27) 615(28) 576(22) 604(32) Global: RH advantage
[F ð1; 23Þ ¼ 5:56, p < :05] [F ð1; 23Þ ¼ 4:33, p < :05]
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3.1.2. Global precedence and inter-level interference effects
The means and standard errors (SE) for each experimental condition related to
global precedence and interference effects are presented in Tables 5–7. Also included
in these tables are the ANOVA results for the factors of Target Level, Mapping, and
the Target Level�Mapping interaction. Means comparisons are also presented in
this table when the interaction was statistically significant.
The main concern was to ensure that the mapping of the target did not affect the
interpretation of the results regarding hemispheric asymmetries. Across the 16 dif-ferent analyses, there was only one instance in which the Target Level�Visual
Field�Mapping interaction was significant: Experiment 3 at the 67ms exposure
duration [F ð1; 23Þ ¼ 7:47, p < :05]. Further analyses indicated that this interaction
was due to the fact that the Visual Field � Mapping interaction was not significant
for the local target level condition ½F ð1; 23Þ ¼ :01�, but was significant for the globaltarget level condition [F ð1; 23Þ ¼ 6:89, p < :05]. For consistently mapped targets,
there was no significant hemispheric asymmetry (left visual field¼ 637ms, right vi-
sual field¼ 627ms) ½F ð1; 23Þ ¼ :92�. For inconsistently mapped targets, however,there was a significant RH (left visual field) advantage (left visual field¼ 626ms,
right visual field¼ 666ms) [F ð1; 23Þ ¼ 6:19, p < :05]. Thus, when participants were
asked to report the global letter, there was a significant RH advantage for incon-
sistently mapped targets, but not consistently mapped targets. When participants
were asked to report the local letter, there were no hemispheric advantages for either
the consistently or inconsistently mapped targets. (It should be noted that this
pattern of results was obtained for only one of the two 67ms exposure duration
conditions; for Experiment 3-R, there was no significant three-way interaction.)Because only 1 of the analyses 16 analyses showed a significant interaction with
this variable and because the results for the one interaction that was significant were
consistent with the predicted asymmetry (i.e., a RH advantage in the global pro-
cessing condition), the effects of mapping do not alter the interpretation of results for
hemispheric asymmetries.
3.2. Error analyses
The error rate data were also subjected to statistical analysis to assess hemispheric
asymmetries for the following reasons: (1) other researchers have found hemispheric
differences in the error data, but not in the response time data (e.g., Blanca et al.,
1994; Boles & Karner, 1996), so we wanted to be able to compare the results for the
two dependent measures, (2) we wanted to ensure that any significant results in the
response time analysis were not due to speed-accuracy tradeoffs (SATO�s), and (3)
according to the RH degradation hypothesis, we would expect to find increased error
rates at shorter exposure durations.The overall error rates (and standard errors) for each exposure duration condition
within each experiment are presented in Table 8. In general, the error rates were
quite small; the highest error rate did not exceed 2.5%. It could be argued that be-
cause of the small error rates, the data cannot meaningfully be submitted to an
ANOVA, nor can interaction contrasts be properly tested. However, for the reasons
mentioned above, we analyzed the results for comparative purposes.
As can be seen in Table 8, the error rates did not significantly differ across the
different exposure duration conditions within each experiment. In other words, errorrates were not significantly greater for the shorter than for the longer exposure
duration conditions within each experiment. To assess hemispheric asymmetries, the
Target Level � Visual Field interaction was evaluated within each experiment at
each exposure duration. As can be seen in Table 9, only two of the interactions were
significant: the 40ms [F ð1; 34Þ ¼ 4:96, p < :05] and 53ms [F ð1; 34Þ ¼ 5:33, p < :05]conditions in Experiment 2-R. In both cases, there were no hemispheric asymmetries
126 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
Table 5
Global precedence and interference effect results for Experiments 1 and 1-R (including mean response times and standard errors for each condition, and results from ANOVA data analyses)
Local target level Global target level Target level
Mapping Target level�mapping
Summary
Experiment 1
53ms Consis < Incon Consis < Incon F ð1; 37Þ ¼ 24:47, p < :0001 GP
619(19) 682(19) 556(16) 570(16) F ð1; 37Þ ¼ 127:09, p < :0001 Asymmetric IE
F ð1; 37Þ ¼ 29:60, p < :0001 Local IE¼ 63
[F ð1; 37Þ ¼ 74:36, p < :0001� [F ð1; 37Þ ¼ 17:92, p < :0001] Global IE¼ 14
147ms Consis < Incon Consis < Incon F ð1; 37Þ ¼ 50:32, p < :0001 GP
619(18) 685(17) 555(14) 576(15) F ð1; 37Þ ¼ 145:49, p < :0001 Asymmetric IE
F ð1; 37Þ ¼ 25:79, p < :0001 Local IE¼ 66
[F ð1; 37Þ ¼ 101:14, p < :001] [F ð1; 37Þ ¼ 20:44, p < :0001] Global IE¼ 21
Experiment 1-R
53ms Consis < Incon Consis < Incon F ð1; 29Þ ¼ 45:06, p < :0001 GP
642(20) 707(21) 581(20) 596(20) F ð1; 29Þ ¼ 61:97, p < :0001 Asymmetric IE
F ð1; 29Þ ¼ 12:35, p < :001 Local IE¼ 65
[F(1,29)¼ 40.27, p < :0001] [F ð1; 29Þ ¼ 5:47, p < :05] Global IE¼ 15
147ms Consis < Incon Consis < Incon F ð1; 29Þ ¼ 13:86, p < :001 GP
631(22) 695(22) 597(20) 628(22) F ð1; 29Þ ¼ 82:07, p < :0001 Asymmetric IE
F ð1; 29Þ ¼ 7:02, p < :01 Local IE¼ 64
[F ð1; 29Þ ¼ 51:54, p < :0001] [F ð1; 29Þ ¼ 18:51, p < :001] Global IE¼ 31
Consis., consistently mapped hierarchical letterforms (global and local forms the same); Incon., inconsistently mapped hierarchical letterforms (global and local forms differ); GP, global
precedence (significantly faster RTs on global than local trials); IE, interference effect (RT on inconsistent trials)RT on consistent trials).
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Table 6
Global precedence and interference effect results for Experiments 2 and 2-R
Local target level Global target level Target level
Mapping Target level�mapping
Summary
Experiment 2
40ms Consis < Incon Consis ¼ Incon F ð1; 22Þ ¼ 1:62 No GP
586(28) 638(24) 587(23) 582(22) F ð1; 22Þ ¼ 19:18, p < :001 Asymmetric IE
F ð1; 22Þ ¼ 19:59, p < :001 Local IE¼ 52
[F ð1; 22Þ ¼ 26:55, p < :0001] [F ð1; 22Þ < 1] Global IE ¼ �5
53ms Consis < Incon Consis ¼ Incon F ð1; 22Þ < 1 No GP
553(19) 624(19) 570(23) 579(25) F ð1; 22Þ ¼ 27:99, p < :0001 Asymmetric IE
F ð1; 22Þ ¼ 33:90, p < :0001 Local IE¼ 71
[F ð1; 22Þ ¼ 57:54, p < :0001] [F ð1; 22Þ ¼ 1:10] Global IE ¼ 9
80ms Consis < Incon Consis ¼ Incon F ð1; 22Þ < 1 No GP
569(25) 644(26) 588(22) 590(27) F ð1; 22Þ ¼ 14:28, p < :0001 Asymmetric IE
F ð1; 22Þ ¼ 44:01, p < :0001 Local IE¼ 75
[F ð1; 22Þ ¼ 63:56, p < :0001] [F ð1; 22Þ < 1] Global IE¼ 2
Experiment 2-R
40ms Consis Incon Consis Incon F ð1; 34Þ ¼ 22:19, p < :0001 GP
691(37) 731(38) 589(25) 627(30) F ð1; 34Þ ¼ 25:49, p < :0001 Symmetric IE
F ð1; 34Þ < 1 Local IE¼ 40
[F ð1; 34Þ ¼ 8:46, p < :01] [F ð1; 34Þ ¼ 10:33, p < :01] Global IE¼ 38
53ms Consis Incon Consis Incon F ð1; 34Þ ¼ 8:44, p < :01 GP
692(37) 709(34) 600(33) 616(33) F ð1; 34Þ ¼ 3:71, p < :10 Symmetric IE
F ð1; 34Þ < 1 Local IE¼ 17
[F ð1; 34Þ ¼ 2:05] [F ð1; 34Þ ¼ 2:97] Global IE¼ 16
80ms Consis Incon Consis Incon F ð1; 34Þ ¼ 17:68, p < :001 GP
658(29) 692(36) 589(25) 606(26) F ð1; 34Þ ¼ 9:16, p < :01 Symmetric IE
F ð1; 34Þ < 1 Local IE¼ 34
[F ð1; 34Þ ¼ 4:60, p < :05� [F ð1; 34Þ ¼ 6:17, p < :05] Global IE¼ 17
128
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Table 7
Global precedence and interference effect results for Experiments 3 and 3-R
Local target level Global target level Target level
Mapping Target level�mapping
Summary
Experiment 3
27ms Consis Incon Consis Incon F ð1; 23Þ ¼ 16:55, p < :001 GP
696(34) 743(26) 624(32) 651(31) F ð1; 23Þ ¼ 12:35, p < :01 Symmetric IE
F ð1; 23Þ < 1 Local IE¼ 47
[F ð1; 23Þ ¼ 6:93, p < :05] [F ð1; 23Þ ¼ 6:46, p < :05] Global IE¼ 27
40ms Consis < Incon Consis ¼ Incon F ð1; 23Þ ¼ 21:71, p < :0001 GP
700(31) 750(31) 633(30) 644(30) F ð1; 23Þ ¼ 28:17, p < :0001 Asymmetric IE
F ð1; 23Þ ¼ 4:25, p < :05 Local IE¼ 50
[F ð1; 23Þ ¼ 15:89, p < :001] [F ð1; 23Þ ¼ 1:32] Global IE ¼ 11
67ms Consis Incon Consis Incon F ð1; 23Þ ¼ 11:18, p < :01 GP
690(33) 722(25) 632(28) 646(28) F ð1; 23Þ ¼ 11:50, p < :01 Symmetric IE
F ð1; 23Þ ¼ 1:32 Local IE¼ 32
[F ð1; 23Þ ¼ 6:31, p < :05] [F ð1; 23Þ ¼ 3:73, p < :07] Global IE¼ 14
Experiment 3-R
27ms Consis < Incon Consis < Incon F ð1; 23Þ ¼ 20:20, p < :001 GP
624(27) 671(28) 562(23) 576(26) F ð1; 23Þ ¼ 17:44, p < :001 Asymmetric IE
F ð1; 23Þ ¼ 6:87, p < :05 Local IE¼ 47
[F ð1; 23Þ ¼ 18:53, p < :001] [F ð1; 23Þ ¼ 3:32, p < :09] Global IE¼ 14
40ms Consis Incon Consis Incon F ð1; 23Þ ¼ 11:76, p < :01 GP
619(33) 664(29) 558(24) 581(28) F ð1; 23Þ ¼ 17:54, p < :001 Symmetric IE
F ð1; 23Þ ¼ 1:44 Local IE¼ 45
[F ð1; 23Þ ¼ 12:79, p < :01] [F ð1; 23Þ ¼ 3:61, p < :07] Global IE¼ 23
67ms Consis Incon Consis Incon F ð1; 23Þ ¼ 2:00 No GP
598(26) 643(29) 577(31) 603(25) F ð1; 23Þ ¼ 14:60, p < :001 Symmetric IE
F ð1; 23Þ ¼ 1:16 Local IE¼ 45
[F ð1; 23Þ ¼ 32:85, p < :0001] [F ð1; 23Þ ¼ 2:55] Global IE¼ 26
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Table 8
Error rates (and standard errors) for each of the experiments as a function of exposure duration condition
Error rate (SE) ANOVA for factor of exposure duration
Experiment 1
53ms 1.20 (.20) F ð1; 37Þ ¼ 2:94
147ms 0.81 (.16)
Experiment 1-R
53ms 1.23 (.29) F ð1; 29Þ < 1
147ms 1.06 (.40)
Experiment 2
40ms 0.68 (.22) F ð2; 44Þ < 1
53ms 0.68 (.23)
80ms 1.27 (.62)
Experiment 2-R
40ms 1.88 (.29) F ð2; 68Þ ¼ 1:61
53ms 2.50 (.49)
80ms 1.67 (.34)
Experiment 3
27ms 1.50 (.36) F ð2; 46Þ ¼ 1:63
40ms 1.68 (.54)
67ms 0.95 (.35)
Experiment 3-R
27ms 1.26 (.34) F ð2; 46Þ ¼ 2:78
40ms 1.74 (.43)
67ms 0.82 (.19)
Table 9
ANOVA results regarding hemispheric asymmetries for error rate data from each of the experiments
Target level� visual field
Experiment 1
53ms F ð1; 37Þ ¼ 3:00
147ms F ð1; 37Þ < 1
Experiment 1-R
53ms F ð1; 29Þ < 1
147ms F ð1; 29Þ ¼ 3:54
Experiment 2
40ms F ð1; 22Þ < 1
53ms F ð1; 22Þ < 1
80ms F ð1; 22Þ < 1
Experiment 2-R
40ms F ð1; 34Þ ¼ 4:96; p < :05a
53ms F ð1; 34Þ ¼ 5:33; p < :05a
80ms F ð1; 34Þ < 1
Experiment 3
27ms F ð1; 23Þ < 1
40ms F ð1; 23Þ ¼ 3:03
67ms F ð1; 23Þ ¼ 2:00
Experiment 3-R
27ms F ð1; 23Þ < 1
40ms F ð1; 23Þ < 1
67ms F ð1; 23Þ ¼ 1:00aMeans comparisons presented in text.
130 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
in error rates for the global attention condition (40ms: ½F ð1; 34Þ ¼ 1:13�; 53ms:
½F ð1; 34Þ ¼ 0:27�Þ. In the local attention condition, however, there was a significant
LH advantage at both exposure durations (40ms: [F ð1; 34Þ ¼ 5:10, p < :05]; 53ms:
[F ð1; 34Þ ¼ 4:96, p < :05]). In other words, for the 40ms condition, the error rate for
right visual field local targets (1.31%) was significantly lower than the error rate for
left visual field local targets (2.86%); for the 53ms condition, the error rate for right
visual field local targets (2.02%) was also significantly lower than the error rate for
left visual field local targets (4.29%). Both of these asymmetries are in the expecteddirection.
An examination of the error rate data indicates that the patterns of results for the
response time data were not due to SATO�s. For the majority of the analyses, no
asymmetries were detected in the error rate data. For the two analyses that did find
significant asymmetries, the results do not support a SATO. Recall that for the 53ms
condition, a LH-local advantage was found in the response time data. Thus, for this
condition, response times were faster, and error rates were smaller, for right visual
field local targets. For the 40ms condition in Experiment 2-R, no asymmetries werefound in the response time data.
Furthermore, the fact that error rates did not significantly differ as a function of
exposure duration suggests that stimulus visibility per se, as suggested by Blanca
et al. (1994), may not adequately account for differences in the pattern of asym-
metries across different exposure durations. If stimulus visibility were being affected,
then significantly increased error rates for the shorter exposure duration conditions
would be expected. These findings are also important to consider when evaluating
the RH degradation hypothesis (discussed below).
4. General discussion
The experiments presented here were designed to further evaluate the relationship
between task demands, specifically target exposure duration, and hemispheric
asymmetries for global and local attentional processing. In two previous experiments
that had assessed this relationship, conflicting results were obtained and differenthypotheses were proposed to account for the contradictory results. Blanca et al.
(1994) argued that as task demands are increased and stimulus visibility decreases,
there is increased likelihood of demonstrating hemispheric asymmetries for global
and local processing in behavioral studies with healthy individuals (task demand
hypothesis). They found predicted asymmetries for global and local processing at a
50ms duration, but not at a 100 or 200ms duration. Boles & Karner (1996), how-
ever, found a RH advantage for processing local stimuli at a 33ms exposure dura-
tion; they argued that this hemispheric difference at the shorter exposure durationreflects a general RH advantage for processing perceptually degraded stimuli (RH
degradation hypothesis).
These two hypotheses were further evaluated in the present set of studies. Six
different stimulus exposure durations (27, 40, 53, 67, 80, and 147ms) were tested in a
selective attention task in which hierarchical letterforms were presented unilaterally
to either the left or right visual field. Three main issues are considered in the discussion
of the results (keep in mind that these issues are not necessarily mutually exclusive): (1)
why were asymmetries for local processing demonstrated more often than asymme-tries for global processing, (2) do the results support the task demand and/or RH
degradation hypotheses, and (3) what conclusions can be made about the reliability
of demonstrating predicted asymmetries across different exposure duration condi-
tions, both within this set of studies and across studies from different laboratories?
A series of studies published by Yovel et al. (2001) is first described because their
findings are important to consider in addressing these issues. These researchers also
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 131
attempted to explain the discrepancy in demonstrating hemispheric asymmetries for
global and local processing in behavioral studies with healthy individuals. Although
they did not assess the effects of exposure duration on hemispheric asymmetries, Yovel
et al. (2001) manipulated several other stimulus and task factors, including the saliency
of the global and local letters (GS¼ global letter more salient than local letter,
ES¼ global and local letters equally salient), attentional demands (focused/selective
vs. divided), and response mode (go-no go vs. two-choice). They hypothesized that
hemispheric asymmetries for global and local processing would be more reliablydemonstrated with ES stimuli (which would avoid potential ceiling effects using GS
stimuli in the processing of the global form and floor effects in the processing of the
local elements), on divided attention tasks (where each hemisphere can attend to its
preferred level, thus necessitating unpredictable switches of attention from that
hemisphere�s preferred level to a nonpreferred target level), and using a go-no go re-
sponse mode (which avoids spatial-compatibility effects that can arise in two-choice
tasks). They also used backward pattern masking to minimize interhemispheric
communication and a small stimulus eccentricity (0.5�) to reduce parafoveal stimulusdegradation. In each of their studies the hierarchical stimuli were presented for 100ms.
Across their first set of studies (which included a divided attention/go-no go task,
a focused attention/go-no go task, and a divided attention/two-choice task) they
found a RH advantage for global processing and a LH advantage for local pro-
cessing for all three tasks with the ES stimuli, and for the two divided attention tasks
with the GS stimuli (but no hemispheric asymmetries for the focused attention task
with GS stimuli). Although the asymmetries did not significantly interact with
stimulus type, they found that the effect size was larger for ES than GS stimuli. Theyalso found a trend toward larger hemispheric asymmetries on divided than on fo-
cused attention tasks using the go-no go response mode. In their second experiment,
Yovel et al. (2001) also included a focused attention/two-choice task, which is the
task used in our set of experiments. They found that hemispheric asymmetries for
global and local processing differed as a function of attentional demands. For the
divided attention task, there was a significant LH local advantage and a marginally
significant RH global advantage; for the focused attention task, there was a LH-local
advantage (the effect size of which was smaller than on the divided attention task),and no RH-global advantage. There was no systematic effect of response mode
across the experiments. In general, Yovel et al.�s (2001) findings emphasize the im-
portance of stimulus characteristics for detecting hemispheric differences in global
and local processing. The implications of their findings are considered below in the
discussion of the results from our set of studies.
4.1. Bias for demonstrating LH-local asymmetries
The present results indicated that, overall, a LH-local advantage was found more
consistently than a RH-global advantage. While no other studies have assessed such
a wide range of exposure durations, it is interesting to note that in other reported
studies there appears to be a bias to find LH-local asymmetries, either at the ex-
clusion of finding RH-global asymmetries (e.g., Christman & Weiner, 1997; see also
Hopkins, 1997, for an animal study) or under more conditions than those for RH-
global asymmetries (e.g., Martin, 1979; Yovel et al., 2001). Here, we consider a few
explanations for why such a bias might have existed in the present set of studies.It could be argued that the more consistent finding of a LH-local advantage may
be due to the fact that the stimuli used in these experiments were linguistic in nature,
and for most right handers, the LH is more specialized for linguistic processing.
However, other studies have found a LH advantage for local processing regardless of
whether the stimuli are linguistic in nature (Kimchi & Merhav, 1991; Versace &
Tiberghien, 1988; see also Fink et al., 1996, 1997a, 1997b, for functional imaging
132 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
evidence in which presentation of the stimuli was central and activations were lat-
eralized). Furthermore, if the pattern was simply due to the fact that the stimuli were
linguistic, then one would expect LH specialization regardless of the attention
condition. Thus, it is reasonable to assume that the results are due to attentional
processing and not to an artifact of the nature of the stimuli.
Another possible explanation for the bias in demonstrating local asymmetries
may have to do with the definition of RH specialization for global processing. In the
present study, RH specialization for global processing was operationally defined as aresponse time advantage for left visual field targets under global target level con-
ditions. However, within the literature on directing spatially based attention, a
somewhat different interpretation of RH specialization for attentional processing has
been proposed. Specifically, physiological (Corbetta, Miezin, Shulman, & Petersen,
1993; Heilman & Van Den Abell, 1980; Proverbio, Zani, Gazzaniga, & Mangun,
1994) and behavioral (Evert & Oscar-Berman, 2001; Roy, Reuter-Lorenz, Roy,
Copland, & Moscovitch, 1987) findings point to a specialized role of the RH in
attentional processing in that it appears to be able to mediate attention in a broaderregion of extrapersonal space, whereas the LH is more limited in that it directs at-
tention primarily to the right side of space (see also Halligan & Marshall, 1994).
Thus, according to this account of how the RH is implicated in attentional pro-
cessing, one should not expect to find a left visual field advantage for global pro-
cessing because the RH is able to direct attention to both sides of space; in other
words, there should be no visual field asymmetry. While this explanation is ap-
pealing, it still cannot explain why a RH-global advantage was found in a few cases
in the present study, as well as in other studies assessing global/local processinghemispheric asymmetries (e.g., Blanca et al., 1994; Martin, 1979; Van Kleeck, 1989).
Furthermore, attention is a multifaceted function, the components of which rely on a
distributed network of neural structures that orchestrate its operation (e.g., Rafal &
Robertson, 1995). For example, Egly, Rafal, Driver, & Yves (1994) found evidence
in a commissurotomized patient that the right parietal lobe plays a more important
role in shifting attention between different locations in space, while the left parietal
lobe is more critical in shifting attention between objects. We must be cautious,
therefore, in presuming that the mechanisms involved in the direction of spatiallybased attention are analogous to those involved in directing attention to a particular
level of an object within a region of space. Hence, it is not certain that an operational
definition of RH specialization that is appropriate for directing spatially based at-
tention is also appropriate for the type of attentional processing assessed in this set
of studies. The relationship of the mechanisms underlying these different forms of
directing attentional resources warrants further investigation.
Another possibility for why there was a bias in demonstrating local asymmetries
may have to do with stimulus characteristics, such as the sizes or density of thestimuli (i.e., the number and proximity of the local elements that comprise the global
figure). In fact, Yovel et al. (2001) point out that most studies of hemispheric
asymmetries in global and local processing use stimuli in which the global letter is
much more salient than the local letter. As mentioned previously, they propose that
the use of GS stimuli could lead to ceiling effects when processing the global form
and floor effects when processing the local form (and thus would minimize detection
of hemispheric asymmetries). As can be seen in Table 10, the dimensions of the
stimuli used in the present set of studies were more similar to Yovel et al.�s (2001) GSstimuli than to their ES stimuli. Recall that in their focused attention/two-choice task
with GS stimuli (Experiment 2) they found a LH local advantage, but no RH global
advantage. Perhaps, then, the bias to detect LH-local asymmetries in the present set
of studies can be attributed to the use of GS salient stimuli such that global pro-
cessing was as easy for the LH as for the RH. The use of such stimuli did not,
however, preclude the detection of LH-local asymmetries.
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 133
Further evidence for a bias in global processing can be found by assessing global
precedence effects. For the GS stimuli in the Yovel et al. (2001) study, response
times to global targets were significantly faster than response times to local targets
in both visual fields (although the global precedence effect was larger for stimuli
presented in the left visual field). For the ES stimuli, the results were not consistent:
for the divided attention/go-no go task they found global precedence in the left
visual field and local precedence in the right visual field, for the focused attention/
go-no go task they found no precedence effects in the left visual field, and localprecedence in the right visual field, and for the focused attention/go-no go task they
did not find any precedence effects in either visual field (note: they did not use ES
stimuli in the focused attention/two-choice task). Based on these results, it appears
that consistent global precedence (presumably from the use of GS stimuli) was
associated with smaller hemispheric asymmetry effect sizes. Although not the pri-
mary focus of this study, we also considered whether the phenomenon of global
precedence might help to explain the bias to find LH-local asymmetries. It is in-
teresting to note that global precedence was found for six of the eight conditions inwhich a LH-local advantage was found, but for neither of the conditions when a
RH-global advantage was found (see Table 11). Therefore, the global precedence
may have led to ceiling effects making the detection of RH-global asymmetries
more difficult. Because global precedence was also found in six out of the seven
cases when no asymmetries were detected, it is clear that global precedence effects
cannot be the sole explanation for more frequent detection of LH-local asymme-
tries in the present set of studies; specifically, exposure duration appears to be
another critical variable that influences the detection of such asymmetries. Furtherstudy is needed to compare situations in which either a global processing advan-
tage, a local processing advantage, or no processing advantage is clearly and
consistently demonstrated to assess whether such a bias influences the likelihood
and frequency of demonstrating local and global processing asymmetries, and
whether precedence effects reliably interact with task demand manipulations such as
exposure duration.
A final explanation for why there was a bias to detect LH-local asymmetries, and
a decreased sensitivity to detect RH-global asymmetries may be due to the fact thata focused attention task was used and, as Yovel et al. (2001) point out, focused
Table 10
Comparison of dimensions of hierarchical stimuli used in the present experiments, Yovel et al. (2001), and
Blanca et al. (1994)
Global
height
Global
width
Local
height
Local
width
Local/global
height ratio
Local/global
width ratio
Present experiment 6.1� 4.0� 0.64� 0.46� 0.105 0.115
Yovel et al. GS stimuli
(Experiment 2)
4.8� 2.9� 0.45� 0.38� 0.094 0.131
Yovel et al. ES stimuli
(Experiment 1)
3.9� 2.3� 0.50� 0.40� 0.128 0.174
Blanca et al. 5.8� 4.7� 0.57� 0.38� 0.098 0.081
GS, globally salient stimuli; ES, equally salient stimuli.
Table 11
Evidence supporting the phenomenon of global precedence across all experiments under conditions in
which local, global, or no asymmetries were found in the response time data
Overall global advantage
LH-local advantage (found in 8 instances) 6/8 (75%)
RH-global advantage (found in 2 instances) 0/2 (0%)
No asymmetries (found in 7 instances) 6/7 (86%)
134 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
attention tasks may be less sensitive than divided attention tasks in detecting
hemispheric asymmetries. This may also explain why Blanca et al. (1994) found both
a LH-local and a RH-global advantage at the 50ms exposure duration, whereas we
found only a LH-local advantage at 53ms, even though their stimulus parameters
were similar to ours (see Table 10).
It is clear from this discussion that no single variable can adequately explain the
bias to detect LH-local asymmetries in the present set of experiments. Rather, this
bias appears to be due to the interaction of several stimulus and task variables, in-cluding the saliency of the stimuli, precedence effects, and the nature of the attention
task.
4.1.1. Evaluation of the task demand and RH degradation hypotheses
The response time results indicated that no asymmetries were detected at the
longest (147ms) and shortest (27ms) exposure durations tested. The LH-local ad-
vantage was generally found within the middle range of exposure durations tested
(53–80ms), the most consistent finding being that it was detected at each of the 53and 67ms conditions tested. A RH-global advantage was found for only one of the
67ms conditions and only one of the 40ms conditions. And, finally, error rates did
not differ significantly as a function of exposure duration.
An evaluation of the evidence for the task demand hypothesis partially depends on
how the predictions of the hypothesis are specified. There are two ways to interpret
this hypothesis. Both interpretations predict that asymmetries should not be present
at longer exposure durations because task demands are simply too easy and either
hemisphere can efficiently perform both global and local processing. The two in-terpretations, however, differ with respect to what happens as task demands are
increased even further. According to one interpretation, as task demands are in-
creased (i.e., as exposure duration is decreased) there should be some point at which
the asymmetries should appear and these asymmetries should continue to be ap-
parent as task demands are increased even further. According to the other inter-
pretation, there may be a range of optimal stimulus durations within which the
predicted asymmetries can be demonstrated; that is, there may be some lower
threshold beyond which the task demands are simply too great and asymmetries forglobal and local attentional processing may no longer be apparent.
The results from the present set of studies are clearly not consistent with the first
interpretation (since asymmetries were not detected at 27ms, and a LH-local ad-
vantage was found for only one of the four 40ms conditions tested). The results are,
however, more consistent with the second interpretation, since asymmetries were
detected in the middle range of durations tested and there were no asymmetries at the
longest and shortest durations. These results, therefore, demonstrate a limited
temporal range within which predicted hemispheric asymmetries for global and localprocessing are demonstrated in healthy individuals using the task parameters of the
present study.
It is important to also take into consideration the error rate data when evaluating
the task demand hypothesis. Surprisingly, error rates did not significantly differ as a
function of exposure duration. Thus, the findings in the present set of studies argue
against Blanca et al.�s (1994) conclusions that a reduction in stimulus visibility per se
is necessary for demonstrating hemispheric asymmetries in global and local pro-
cessing; our results demonstrate asymmetries even under conditions in which stimulusvisibility does not appear to be affected. Furthermore, these findings suggest that the
existence of a lower threshold is not simply due to task difficulty. Thus, while the
results suggest a range of optimal durations within which asymmetries are demon-
strated, it is not yet clear exactly what is being affected by the exposure duration
manipulation that can account for the limits beyond which hemispheric asymmetries
for global and local processing are no longer evident in this set of studies.
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 135
The error rate data are also important to consider when evaluating the RH
degradation hypothesis. As mentioned in Section 1, one possible explanation for the
discrepant results between Blanca et al. (1994) and Boles & Karner (1996) is that
there might be a shift toward a RH advantage, regardless of level of processing, at
very short exposure durations due to degradation of the stimuli. However, to ade-
quately test the RH degradation hypothesis one needs to demonstrate that the stimuli
are, in fact, perceptually degraded. Again, because error rates did not differ as a
function of exposure duration, it appears that the quality of the percept was notsubstantially affected by the exposure duration manipulation. Thus, although RH
specialization in the present set of studies was only linked to global processing
(which argues against the RH degradation hypothesis), we could not rule out the
possibility for a shift towards RH specialization regardless of level of processing at
shorter exposure durations under degraded stimulus conditions.3
Consistent with the results from the present study, findings from a literature re-
view by Christman (1989) provide equivocal support for the RH degradation hy-
pothesis. He reviewed 30 years of research on the effects of perceptual characteristicson visual perceptual lateralization to test the hypothesis that characteristics that
reduce the availability of higher spatial frequencies (i.e., increased retinal eccen-
tricity, size, and blur, and decreased luminance and exposure duration) will impair
left hemisphere performance more than right hemisphere performance. Overall the
results indicated that variations in size and exposure duration yielded weaker results
with respect to the hypothesis than variations in the other perceptual characteristics
(i.e., eccentricity, luminance, and blur). Furthermore, while decreased size and ex-
posure duration both lead to degraded viewing conditions, a decrease in exposureduration tended to favor right hemisphere processing and a decrease in size tended to
favor left hemisphere processing.
In summary, the present results indicate that we can demonstrate differential
participation of the hemispheres in global and local processing in healthy individ-
uals, but that the conditions under which they are demonstrated are constrained;
specifically, the results indicate that, given the task parameters used here, asymme-
tries for global and local processing are present within a limited exposure duration
window. While the present results indicate that exposure duration is an importantvariable to consider in detecting asymmetries in healthy individuals, the conditions
under which asymmetries are reliably detectable likely depends on some optimum
combination of stimulus and task factors.4
4.1.2. Reliability of findings
An important issue to consider in evaluating any hypothesis to explain the effects
of a task demand manipulation on demonstrating asymmetries for global and local
processing is reliability, both within one�s own laboratory, as well as across studiesfrom different laboratories. To assess the reliability of the findings within our own
laboratory, we tested some exposure durations multiple times across the three ori-
ginal experiments, and we replicated each experiment.
The most reliable findings were that a LH-local advantage was found for each
53ms and each 67ms exposure duration tested and no asymmetries were found at
each 147 and 27ms exposure duration tested across the experiments. The upper and
3 It is possible that the low error rates overall may be due to the small stimulus set (i.e., H and I) used in
the present studies. While the use of response time was sensitive in detecting hemispheric differences in
global and local processing, perhaps a larger stimulus set would have more of an effect on error rates,
which would have allowed us to better assess the RH degradation hypothesis.4 Perhaps the small stimulus eccentricity and use of backward masking can account for the LH-local
asymmetry detected at the 100ms exposure duration used in Yovel et al.�s (2001) focused attention/two-
choice task.
136 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
lower boundaries for demonstrating the LH-local asymmetry, however, were less
reliable: a LH-local advantage was found in one instance at 80ms, but not in an-
other, and it was found in one instance at 40ms, but not in three others. The
demonstration of a RH-global advantage was idiosyncratic since it was found for
one of the four 40ms conditions, not at all for the 53ms conditions, and for one of
the two 67ms conditions. Across the replication experiments within this set of
studies, only Experiment 1-R fully replicated the results of Experiment 1.
The somewhat ‘‘fuzzy’’ boundaries for the upper and lower limits of the rangewithin which the asymmetries are demonstrated are not surprising. For example,
with respect to the upper exposure duration threshold, it is unlikely that there is an
exact millisecond duration above which asymmetries are never found and below
which asymmetries are always found. Such precision is unlikely for dynamic bio-
logical systems. The inexact nature of the boundary helps to explain why only Ex-
periment 1 was fully replicated in Experiment 1-R. In these two experiments there
was quite a large range between the two exposure durations used (i.e., 100ms).
Because the 53ms exposure duration appears to be clearly within the range and the147ms duration appears to be clearly outside of the range, the pattern of results
across the original (E1) and replication (E1-R) experiments were reliable. For Ex-
periments 2 and 3, however, there was a smaller range between the longest and
shortest exposure durations used (i.e., 40ms) and some of these durations appear to
fall near the boundaries. The most important finding for the task demand hypothesis
is that asymmetries were reliably found within the middle portion of this range and
were reliably absent well outside this range.
Our results partially replicate those of Blanca et al. (1994) (i.e., we found a LH-local advantage at 53ms, but not a RH-global advantage at this same exposure
duration), but do not replicate those of Boles & Karner (1996). When asymmetries
were found in the present set of studies, they were always in the predicted direction.
While a direct comparison of the present results to other studies is complicated by
variations in stimulus and task variables, it is possible that the failure to replicate the
Blanca et al. (1994) finding of a RH-global advantage at the 53ms duration may be
due to the fact that they used a divided attention task and we used a focused at-
tention task (see Yovel et al., 2001).One final point to consider in assessing the reliability of findings with respect to
the effects of exposure duration on global and local processing is whether the lu-
minance of the stimuli and its interaction with exposure duration may play a sig-
nificant role in the pattern of results both across and within studies. According to
Bloch�s Law, constant visual effect ðCÞ ¼ Intensity ðIÞ � Time ðT Þ. Two stimuli that
contain the same total energy (even if they are based on a different combination of
intensity and time values) will be equally detectable. Evidence suggests that Bloch�sLaw applies to simple stimuli and tasks (e.g., Kahneman & Norman, 1964; Raab &Fehrer, 1962). There is some evidence to suggest that Bloch�s Law also applies to
more complex stimuli (Loftus & Ruthruff, 1994), although it is not clear if it applies
to hierarchical stimuli used in global/local tasks. There is some disagreement re-
garding the exposure duration range within which Bloch�s Law holds. For the
photopic cone-dominated system, some argue that Bloch�s Law appears to hold only
for durations less than 50ms (Hood & Finkelstein, 1986; Regan, 2000), whereas
others contend that it holds for durations up to 100ms (Loftus & Ruthruff, 1994).
For the purposes of the present discussion, we adopt a conservative approach toexamine to possible consequences of Bloch�s Law on the interpretation of the results
reported here. If we assume for a moment that Bloch�s Law does hold for the
complex hierarchical stimuli and two-choice response task used in the present set of
studies, and if we assume that it holds for durations up to 100ms, then the rela-
tionship between stimulus intensity and exposure duration may be important to
consider in the present context for two reasons: (1) different findings across studies
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 137
using the same exposure durations may be explained by differences in luminance
values of the stimuli used in the experiments, and (2) given a wide range of exposure
durations for stimuli at the same luminance (as used in the present set of studies),
Bloch�s Law may apply to some durations and not others and, therefore, might
influence the interpretation of the results.
We first address the issue of comparing results across studies. Unfortunately the
luminance values for the stimuli used in the Boles & Karner (1996) and Blanca
et al. (1994) studies are unavailable (personal communication with D. Boles andM. Blanca). However, given that Blanca et al. (1994) used a tachistoscope and
Boles & Karner (1996) used a computer monitor for presentation of the stimuli, it
is likely that the luminance values of their stimuli were different (luminance tends
to be brighter with tachistoscopes). Thus, at the one exposure duration in common
to these two studies (100ms), it is possible that Boles & Karner�s (1996) stimuli
were less visible than Blanca et al.�s (1994) stimuli. Perhaps if the stimuli were
particularly degraded in the Boles & Karner (1996) study, this could account for
the trend for a RH advantage (because of the RH�s superiority in processingdegraded stimuli). Although definitive conclusions cannot be drawn without the
luminance values of the stimuli used in the experiments, there are two points that
call into question the extent to which luminance/duration interactions can ade-
quately explain the difference in the pattern of results between the two studies.
First, it is likely that the luminance of the stimuli used in our experiments were
more similar to those of Boles & Karner (1996) because both studies used
computer monitors for the presentation of the stimuli. However, the results of the
present study are more similar to those of Blanca et al. (1994), even though theyused a tachistoscope. Second, it seems unlikely that the stimuli in the Boles
& Karner (1996) study were significantly more degraded than the stimuli in other
studies that used computer monitors and a 100ms exposure duration (none of
which found RH specialization for local processing). Therefore, it is unlikely that
potential luminance differences could account for why they found results opposite
to the predicted asymmetries.
In our set of studies, the stimuli were all presented at the same luminance.
Again, if we adopt the assumptions indicated above, it is possible that Bloch�s Lawmay apply for some of our exposure durations, but not others. The question of
interest is whether Bloch�s Law can account for any of the findings in the present
set of studies. A basic tenet of Bloch�s Law is that at a given luminance, a shorter
exposure duration will decrease the visibility of the stimulus compared to a longer
exposure duration at the same luminance, and will increase the threshold for de-
tection. Although ours was not a threshold detection task, it is likely that this
decreased visibility would also result in increased error rates. However, in the
present set of studies error rates did not significantly increase with decreased ex-posure duration, so it is questionable whether Bloch�s Law applies here. Even if it
does apply, it likely only applies for the shorter durations. Regardless of the
mechanism (e.g., luminance duration/interactions, exposure duration only) that
explains the lower boundary above which asymmetries are detected, and below
which asymmetries are not detected, the main interpretation of the results remains
unchanged: given the task parameters of the set of studies, hemispheric asymme-
tries for global and local processing are reliably detected only within a limited
exposure duration range.Although stimulus/intensity relationships are important under certain circum-
stances, and one should consider this relationship in drawing general conclusions
across different studies assessing the effects of exposure duration, we do not think
that Bloch�s Law significantly changes the interpretation of the results presented
here. Further study is needed to determine whether this law even applies to the types
of stimuli and the task used in this set of experiments.
138 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
5. Conclusions
Including the present set of experiments, three studies have directly assessed the
relationship between stimulus exposure duration and global/local processing asym-
metries. The present set of studies extend the findings of Blanca et al. (1994) by
suggesting that there is a temporal range within which predicted asymmetries are
found, including both an upper and lower limit (this was especially true for local
processing). While the present results could not be used to resolve the discrepancybetween Blanca et al. (1994) and Boles & Karner (1996), all three studies converge by
highlighting the importance of reliably demonstrating predicted asymmetries and
emphasizing the need to further specify and clarify the conditions under which these
asymmetries appear in healthy individuals. Based on their set of studies, Yovel et al.
(2001) concluded that ‘‘the reliable perceptual asymmetries on the variety of tasks in
[their] studies, as well as the positive and negative results of previous investigations,
suggest that there is no single task factor that is critical for revealing or concealing
perceptual effects of hemispheric asymmetries. Rather, the probability of observingreliable asymmetries in favor of the RH-LVF for global perception and the LH-RVF
for local perception depends on various combinations of multiple task factors (e.g.,
ES letters, divided attention, backward masking, small eccentricity)’’ (p. 1383). We
agree with their conclusion and add stimulus exposure duration to their list of im-
portant task factors.
Questions still remain, however. With respect to our set of studies, what does it
mean that hemispheric asymmetries in global and local processing only emerge
within a limited range of exposure durations? More generally, is there some ‘‘for-mula’’ for a particular combination(s) of stimulus and task parameters that will lead
to the reliable detection of hemispheric asymmetries in healthy individuals and, if
there is, what does this mean? Do these findings mean that the hemispheric asym-
metries are always present, but only evident under certain experimental conditions,
or do they mean that the phenomenon exists only under very specific conditions and,
therefore, may potentially have little consequence for normal behavior?
Given the converging evidence, we believe that the two hemispheres do differen-
tially participate in global and local levels of processing in normal behavior. And wealso believe that while specialization for global and local processing exists, this does
not mean that this specialization is needed at all times. As we mentioned earlier,
because hemispheric asymmetries are relative, and because interhemispheric com-
munication in an intact brain is efficient, the more specialized hemisphere may be
needed only under certain demanding conditions (also see Yovel et al., 2001). But if
this phenomenon only has consequences for normal behavior under specific condi-
tions, this raises the question of why the hemispheres are differentially specialized for
global and local processing to begin with. In other words, what function doeshemispheric specialization for global and local processing serve if this specialization
is manifested only under certain limited conditions? We believe that this special-
ization serves to maintain efficient processing of information under those conditions
in which performance might otherwise be adversely affected. Although the present
studies points to a limited range within which the specialized hemisphere is ‘‘need-
ed,’’ it is likely that the parameters of the laboratory task used here underestimate
the information processing demands in our every day lives. Our senses are contin-
uously bombarded with different types of sensory information and we must con-tinuously select the relevant, important information from amongst the morass of
irrelevant information competing for our attentional and perceptual resources. Thus,
the increased efficiency in processing information by a specialized hemisphere is
likely even more pronounced outside of the laboratory setting.
Although the present set of studies was not designed to address these broad
questions, they do highlight the importance of stimulus and task variables in
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 139
detecting hemispheric differences in global and local processing. To the extent that it
is possible, future research on hemispheric specialization for global and local pro-
cessing may be able to address the broader questions outlined here.
Acknowledgments
This research was partially supported by a grant from the National Science
Foundation (Research Experience for Undergraduates, SBR-9820031) and a faculty
development grant from Skidmore College awarded to the first author. We thank
Mary Ann Foley for helpful comments on an earlier draft of the manuscript. We also
thank Flip Phillips for computer programming and technical assistance, and the
following students for assistance in data collection and analysis: Mary Bates, Carla
Edmonson, Alyson Lieban, Niki Michaelson, Stacie Richardson, Ingrid Sarmiento,
and Mimi Valderrama. Experiment 2 of the manuscript was the second author�ssenior thesis project at Skidmore College.
References
Alivisatos, B. W., & Wilding, J. (1982). Hemispheric differences in matching Stroop-type letter stimuli.
Cortex, 18, 5–21.
Banich, M. T., & Noll, E. L. (1993). Target detection in left and right hemispace: Effects of positional pre-
cueing and type of background. Neuropsychologia, 31, 525–545.
Blanca Mena, M. J. (1992). Can certain stimulus characteristics influence the hemispheric differences in
global and local processing? Acta Psychologica, 79, 201–217.
Blanca, M. J., Zalabardo, C., Gar�ıı-Criado, F., & Siles, R. (1994). Hemispheric differences in global and
local processing dependent on exposure duration. Neuropsychologia, 32, 1343–1351.
Boles, D. B. (1984). Global versus local processing: Is there a hemispheric dichotomy? Neuropsychologia,
22, 445–455.
Boles, D. B. (1991). Factor analysis and the cerebral hemispheres: Pilot study and parietal functions.
Neuropsychologia, 29, 59–90.
Boles, D. B. (1994). An experimental comparison of stimulus type, display type, and input variable
contributions to visual field asymmetry. Brain and Cognition, 24, 184–197, doi:10.1006/brcg.l994.1010.
Boles, D. B. (1995). Parameters of the bilateral effect. In F. L. Kitterle (Ed.), Hemispheric communication:
Mechanisms and models. Hillsdale, NJ: Erlbaum Associates.
Boles, D. B., & Karner, T. A. (1996). Hemispheric differences in global versus local processing: Still
unclear. Brain and Cognition, 30, 232–243, doi: 10.1006/brcg. 1996.0015.
Bradshaw, J. L., & Nettleton, N. C. (1983). Human cerebral asymmetry. Englewood Cliffs, NJ: Prentice-
Hall.
Bryden, M. P., & Allard, R. (1976). Visual hemifield differences depend on typeface. Brain and Language,
3, 191–200.
Christman, S. D., & Weiner, R. H. (1997). Hemispheric processing of form versus texture at the local level
of hierarchical patterns. Acta Psychologica, 96, 193–206.
Christman, S. (1989). Perceptual characteristics in visual laterality research. Brain and Cognition, 11, 238–
257.
Corbetta, M., Miezin, F. M., Shulman, G. L., & Petersen, S. E. (1993). A PET study of visuospatial
attention. Journal of Neuroscience, 13, 1202–1226.
Delis, D. C., Robertson, L. C., & Efron, R. (1986). Hemispheric specialization of memory for visual
hierarchical stimuli. Neuropsychologia, 24, 205–214.
Doyon, J., & Milner, B. (1991). Right temporal-lobe contribution to global visual processing.
Neuropsychologia, 29, 343–360.
Egly, R., Rafal, R., Driver, J., & Yves, S. (1994). Covert orienting in the split brain reveals hemispheric
specialization for object-based attention. Psychological Science, 5, 380–383.
Evert, D. E., & Oscar-Berman, M. (2001). Selective attentional processing and the right hemisphere:
Effects of aging and alcoholism. Neuropsychology, 15, 452–461.
Fagot, J., & Deruelle, C. (1997). Processing of global and local visual information and hemispheric
specialization in humans (Homo sapiens) and baboons (Papio papio). Journal of Experimental
Psychology: Human Perception and Performance, 23, 429–442.
Fink, G. R., Halligan, P. W., Marshall, J. C., Frith, C. D., Frackowiak, R. S. J., & Dolan, R. J. (1996).
Where in the brain does visual attention select the forest and the trees? Nature, 382, 626–628.
140 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142
Fink, G. R., Halligan, P. W., Marshall, J. C., Frith, C. D., Frackowiak, R. S. J., & Dolan, R. J. (1997a).
Neural mechanisms involved in the processing of global and local aspects of hierarchically organized
visual stimuli. Brain, 120, 1779–1791.
Fink, G. R., Marshall, J. C., Halligan, P. W., & Dolan, R. J. (1999). Hemispheric asymmetries in global/
local processing are modulated by perceptual salience. Neuropsychologia, 37, 31–40.
Fink, G. R., Marshall, J. C., Halligan, P. W., Frith, C. D., Frackowiak, R. S., & Dolan, R. J. (1997b).
Hemispheric specialization for global and local processing: The effect of stimulus category. Proceedings
of the Royal Society of London Brain and Biological Sciences, 264, 487–494.
Gum, T., 1997. PsychLab. VI.0-103.2.
Halligan, P. W., & Marshall, J. C. (1994). Toward a principled explanation of unilateral neglect. Cognitive
Neuropsychology, 11, 167–206.
Heilman, K. M., & Van Den Abell, T. (1980). Right hemisphere dominance for attention: The mechanism
underlying hemispheric asymmetries of inattention (neglect). Neurology, 30, 327–330.
Heinze, H. J., Hinrichs, H., Scholz, M., Burchert, W., & Mangun, G. R. (1998). Neural mechanisms of
global and local processing: A combined PET and ERP study. Journal of Cognitive Neuroscience, 10,
485–498.
Hellige, J. B. (1980). Effects of perceptual quality and visual field of probe stimulus presentation on
memory search for letters. Journal of Experimental Psychology: Human Perception and Performance, 6,
639–651.
Hellige, J. B., Corwin, W. H., & Jonsson, J. E. (1984). Effects of perceptual quality on the processing of
human faces presented to the left and right cerebral hemispheres. Journal of Experimental Psychology:
Human Perception and Performance, 10, 90–107.
Hoffman, J. (1980). Interaction between global and local levels of a form. Journal of Experimental
Psychology: Human Perception and Performance, 6, 222–234.
Hood, D. C., & Finkelstein, M. A. (1986). Sensitivity to light. In K. Boff, L. Kaufman, & J. Thomas
(Eds.), Handbook of perception and human performance: Vol. 1 (pp. 5.1–5.66). New York: Wiley–
Interscience.
Hopkins, W. D. (1997). Hemispheric specialization for local and global processing of hierarchical visual
stimuli in chimpanzees (Pan troglodytes). Neuropsychologia, 35, 343–348.
H€uubner, R. (1997). The effect of spatial frequency on global precedence and hemispheric differences.
Perception & Psychophysics, 59, 187–201.
H€uubner, R. (1998). Hemispheric differences in global/local processing revealed by same-different
judgements. Visual Cognition, 5, 457–478.
Johannes, S., Wieringa, B. M., Matzke, M., & Munte, T. F. (1996). Hierarchical visual stimuli:
Electrophysiological evidence for separate left hemispheric global and local processing mechanisms in
humans. Neuroscience Letters, 210, 111–114.
Kahneman, D., & Norman, J. (1964). The time–intensity relation in visual perception as a function of
observer�s task. Journal of Experimental Psychology, 68, 215–220.
Kimchi, R., & Merhav, I. (1991). Hemispheric processing of global form, local form, and texture. Acta
Psychologica, 133–147.
Kinchla, R. A., Solis-Macias, V., & Hoffman, J. (1983). Attending to different levels of structure in a visual
image. Perception & Psychophysics, 33, 1–10.
Lamb, M. R., & Robertson, L. C. (1988). The processing of hierarchical stimuli: Effects of retinal locus,
locational uncertainty, and stimulus identity. Perception & Psychophysics, 44, 172–181.
Lamb, M. R., Robertson, L. C., & Knight, R. T. (1990). Component mechanisms underlying the
processing of hierarchically organized patterns: Inferences from patients with unilateral cortical
lesions. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 471–483.
Lamb, M. R., & Yund, E. W. (1996). Spatial frequency and interference between global and local levels of
structure. Visual Cognition, 3, 193–219.
Loftus, G. R., & Ruthruff, E. (1994). A theory of visual information acquisition and visual memory with
special application to intensity-duration trade-offs. Journal of Experimental Psychology: Human
Perception and Performance, 20, 33–49.
Luna, D. (1993). Effects of exposure duration and eccentricity of global and local information on
processing dominance. European Journal of Cognitive Psychology, 5, 183–200.
MacWhinney, B. (1996). The PsyScope button box. Carnegie Mellon University.
Martin, M. (1979). Hemispheric specialization for local and global processing. Neuropsychologia, 17, 33–
40.
Martinez, A., Moses, P., Frank, L., Buxton, R., Wong, E., & Stiles, J. (1997). Hemispheric asymmetries in
global and local processing: Evidence from fMRI. Neuroreport, 8, 1685–1689.
Miller, J. (1981). Global precedence in attention and decision. Journal of Experimental Psychology: Human
Perception and Performance, 7, 1161–1174.
Navon, D. (1977). Forest before trees: The precedence of global features in visual perception. Cognitive
Psychology, 9, 353–383.
OptiCal (2002, Version 3.7d1) [Computer Software]. Lawrenceville, NJ: ColorVision, Inc.
D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142 141
Polich, J., & Aguilar, V. (1990). Hemispheric local/global processing revisited. Acta Psychologica, 74,
47–60.
Posner, M. I. (1980). Orienting of attention. Quarterly Journal of Experimental Psychology, 32, 3–25.
Posner, M. I., & Petersen, S. E. (1990). The attention system of the human brain. Annual Review of
Neuroscience, 13, 25–42.
Proverbio, A. M., Zani, A., Gazzaniga, M. S., & Mangun, G. R. (1994). ERP and RT signs of a rightward
bias for spatial orienting in a split-brain patient. Neuroreport, 5, 2457–2461.
Raab, D., & Fehrer, E. (1962). Supplementary report: The effect of stimulus duration and luminance on
visual reaction time. Journal of Experimental Psychology, 64, 326–327.
Rafal, R. T., & Robertson, L. (1995). The neurology of visual attention. In M. S. Gazzaniga (Ed.), The
cognitive neurosciences (pp. 625–648). Cambridge, MA: MIT Press.
Regan, D. (2000). Human perception of objects. Sunderland, MA: Sinauer Associates.
Robertson, L. C., Lamb, M. R., & Knight, R. T. (1988). Effects of lesions of temporal–parietal junction on
perceptual and attentional processing in humans. Journal of Neuroscience, 8, 3757–3769.
Robertson, L. C., Lamb, M. R., & Zaidel, E. (1993). Interhemispheric relations in processing hierarchical
patterns: Evidence from normal and commissurotomized subjects. Neuropsychology, 7, 325–342.
Roy, E. A., Reuter-Lorenz, P., Roy, L. G., Copland, S., & Moscovitch, M. (1987). Unilateral attention
deficits and hemispheric asymmetries in the control of attention. In M. Jeannerod (Ed.), Neurophys-
iological and neuropsychological aspects of spatial neglect (pp. 25–39). North Holland: Elsevier.
Sergent, J. (1982). The cerebral balance of power: Confrontation or cooperation? Journal of Experimental
Psychology: Human Perception and Performance, 8, 253–272.
Van Kleeck, M. H. (1989). Hemispheric differences in global versus local processing of hierarchical visual
stimuli by normal subjects: New data and a meta-analysis of previous studies. Neuropsychologia, 27,
1165–1178.
Verfaellie, M., Bowers, D., & Heilman, K. M. (1988). Hemispheric asymmetries in mediating intention,
but not selective attention. Neuropsychologia, 26, 521–531.
Versace, R., & Tiberghien, G. (1988). Sensitivity of cerebral hemispheres to the local and global
components of verbal and non-verbal stimuli. Cahiers de Psychologic Cognitive, 8, 125–137.
Yovel, G., Yovel, I., & Levy, J. (2001). Hemispheric asymmetries for global and local visual perception:
Effects of stimulus and task factors. Journal of Experimental Psychology: Human Perception and
Performance, 27, 1369–1385.
142 D.L. Evert, M. Kmen / Brain and Cognition 51 (2003) 115–142