Brief Report: Eye-Movement Patterns During an Embedded Figures Test in Children with ASD
The present study examined fixation frequency and duration during an Embedded Figures Test (EFT) in an effort to better understand the attentional and perceptual processes by which individuals with autism spectrum disorder (ASD) achieve accelerated EFT performance. In particular, we aimed to elucidate differences in the patterns of eye-movement in ASD and typically developing (TD) children, thus providing evidence relevant to the competing theories of weak central coherence (WCC) and enhanced perceptual functioning. Consistent with prior EFT studies, we found accelerated response time (RT) in children with ASD. No group differences were seen for fixation frequency, but the ASD group made significantly shorter fixations compared to the TD group. Eye-movement results indicate that RT advantage in ASD is related to both WCC and enhanced perceptual functioning.
KeywordsAutism Reaction time Visual attention Visual perception Eye movement Eye fixation
Atypical visual-spatial perception in individuals with autism spectrum disorder (ASD) has been exemplified by enhanced performance on a variety of experimental tasks (see Dakin and Frith 2005, for review). In particular, individuals with ASD have been shown to excel at the Embedded Figures Test (EFT; see Happé and Frith 2006, for review). Although enhanced EFT performance in ASD is well replicated, the underlying mechanisms remain uncertain. The weak central coherence (WCC) theory posits that individuals with ASD have a processing bias towards local information, and thus fail to integrate parts to form a global whole (Happé and Frith 2006). According to the WCC, accelerated performance during the EFT is a consequence of differences in implicit processing style; individuals with ASD perceive local parts, whereas typically developing (TD) individuals form a global percept before attending to the local elements of the global whole. Alternatively, Mottron and colleagues (2006) have proposed that accelerated EFT performance in ASD is the result of enhanced perceptual functioning (EPF). The EPF theory hypothesizes that local bias develops, not from a deficit in processing global information, but rather from superior low-level perceptual processes.
The present study examined fixation frequency and duration during an EFT in an effort to better understand the attentional and perceptual processes by which children with ASD achieve accelerated performance. In particular, we aimed to elucidate differences in the patterns of eye-movement in ASD and TD children, thus providing evidence relevant to the competing WCC and EPF theories. We used a modified version of an EFT designed by Manjaly and colleagues (2007) which included both embedded figure and baseline perceptual control conditions. We hypothesized that response time (RT) increases in the test compared to the baseline condition would be less pronounced in ASD compared to TD children. A further hypothesis was prompted by a recent study by Kemner et al. (2007), who suggested that fewer and/or shorter fixations underlie enhanced visual search in ASD. Analogously, we hypothesized that superior EFT performance in ASD would be the result of a reduced number and/or duration of fixations.
Fifteen school-age children with ASD and eleven TD children were recruited for the current study. Data from three children with ASD were incomplete due to noncompliance. The final sample thus included 12 children with ASD, all of whom met DSM-IV-TR (APA 1994) criteria for ASD, and an age- and nonverbal IQ-matched comparison group of 11 TD children. Clinical diagnoses were confirmed using the Autism Diagnostic Interview-Revised (Rutter et al. 2003) and the Autism Diagnostic Observation Schedule (Lord et al. 1999).
Autism (n = 12)
Comparison (n = 11)
The experiment was presented using NeuroBS Presentation software on a 2.8 GHz/512 MB PC on a 19-inch CRT display. Participants were seated approximately 60 cm from the monitor. Test responses were registered with a Cedrus button box.
Participants’ point of gaze was monitored using a binocular EyeLink II Eye-Tracking System (250 Hz). Infrared illumination of the eyes was supplied by unobtrusive LEDs mounted on a lightweight, padded headpiece. Eye images were captured by two infrared cameras while a third camera monitored head position to compensate for any participant movement. Fixations were defined as eye-movements with dwell time greater than 100 ms within an area of 1° of visual angle at a resolution of less than 0.01°.
The experiment consisted of 40 test and 30 baseline trials. A target was present on half of the trials (20 test, 15 baseline). Test and baseline trials were presented in random order.
Participants were asked to respond as to whether the target shape was present or absent. Stimuli were displayed for 6,000 ms in test and 2,000 ms in baseline trials. After each trial, a blank screen appeared for 1,000 ms. Participants were instructed to respond as quickly as possible without making errors. Practice trials were administered with corrective feedback.
Unless noted otherwise, statistical tests for all dependent measures were mixed-model repeated measures analyses of variance (ANOVA) with the following parameters: between-subject factor group (ASD, TD), within-subject factors condition (test, baseline) and target presence (absent, present). Partial eta-squared (ηp2) was used as a measure of effect size. RT and eye-movement data were analyzed for correct trials only.
Error rates were significantly higher for test compared to baseline, F(1,21) = 30.5, p < .001, ηp2 = .59, and present compared to absent trials, F(1,21) = 22.0, p < .001, ηp2 = .51. There was no difference between groups in error rate, F(1,21) = 0.3, p > .5, ηp2 = .02, nor were there any interactions between group and other factors. Separate ANOVAs for d’ showed that groups did not differ in d’ for the test, F(1,21) = 1.0, p > .3, ηp2 = .05, or baseline conditions, F(1,21) = .1, p > .7, ηp2 = .00. These results did not change when age was included as a covariate.
Fixation frequency (number fixations per trial) and duration were collected from the onset of each trial until participant response. Fixations to target shape and the complex figure were analyzed separately to assess differences in encoding and discrimination processes while individuals were attending to different regions within the stimulus. Regions of interest (ROI) were defined as target and figure by bisecting the stimulus into two sections at the midpoint between the target shape and the complex figure. In addition, fixation durations were categorized based on order of occurrence. First fixations were defined as initial fixations occurring after stimulus onset that included a post-fixation saccade. First fixations reflect initial encoding of stimulus features and the latency to make first saccade toward a perceived target. Final fixations were defined as the last fixation occurring prior to a participant’s response, and correspond to target identification and response-making processes.
All Fixations: Fixation Frequency and Duration
Fixation frequency was greater in the test (M = 5.4) than baseline trials (M = 3.2), F(1,21) = 29.1, p < .001, ηp2 = .58. There was no main effect of group (ASD: 4.3, TD: 4.3), F(1,21) = 0.1, nor were there any group interaction effects for fixation frequency. Furthermore, there was no difference between groups for fixation frequency to target (ASD: 1.5, TD: 1.2), F(1,21) = 0.1, p > .1, ηp2 = .11, or figure ROI (ASD: 2.8, TD: 3.1), F(1,21) = 0.1, p > .7, ηp2 = .00.
First and Final Fixation Durations
Our study investigated fixation frequency and duration during an EFT in ASD and TD children. Consistent with prior EFT research, we found accelerated RT in individuals with ASD. Similar to Manjaly et al. (2007), we observed interaction between group and condition. However, whereas Manjaly et al. found equivalent RT in the EFT and slower RT in the baseline condition for ASD as compared to TD individuals, our ASD group was significantly faster at the EFT and equivalent in the baseline condition, compared to TD children. This pattern of superior performance in ASD on tasks in which processing of global features impedes performance (test trials), and equivalent performance in tasks for which a local processing strategy is no longer advantageous (baseline trials), is consistent with a model of enhanced perceptual processing, as proposed by Mottron et al. (2006).
Analysis of eye-movements revealed that while ASD and TD groups did not differ in fixation frequency during either test or baseline trials, or in the frequency with which they fixated on the target or figure, fixation durations were significantly shorter in children with ASD across all trial types. To further elucidate differences, fixation durations were analyzed based on location. Only fixations on the complex figure, not those located on the target shape, were significantly shorter in ASD compared to the TD group, suggesting that any perceptual advantage that may be reflected in shorter fixation durations occurred while ASD children attended to the complex figure.
Fixations were further grouped into first and final fixations. First fixations were significantly shorter for ASD compared to TD children, suggesting that the ASD group was faster at initially encoding stimulus features and planning initial saccades. In addition, first fixation durations were significantly longer in test compared to baseline conditions for TD children, but not for children with ASD, suggesting that children with ASD perceived the target in both test and baseline condition as equally salient. This result is congruent with the WCC theory. If children with ASD perceive the local features of the complex figure, as opposed to the global whole, latency to initiate first saccade should be similar in both test and baseline trials. Similarly, Jarrold et al. (2005) showed that while RT for an EFT was correlated with conjunctive search slopes in TD individuals, EFT RT was correlated with feature search slopes in individuals with ASD, indicating that targets may ‘pop out’ for individuals with ASD.
While similar initial fixation durations for test and baseline conditions in the ASD group may be indicative of a local processing bias associated with the WCC theory, shorter durations for all fixations, including first and final fixations, suggests that individuals with ASD are quicker at discriminating the stimulus at each fixation. These results indicate that enhanced lower-level perceptual processes may also play a role in ASD EFT advantage.
In summary, our findings suggest that the EFT advantage in children with ASD arises from both local perception of global figures and enhanced discrimination. Previous fMRI studies have demonstrated decreased involvement of frontal cortices during EFT in ASD (Lee et al. 2007; Ring et al. 1999), indicative of reduced need to suppress global perception, and increased right occipital involvement in ASD (Manjaly et al. 2007; Ring et al. 1999), which may represent enhanced processing of local features. Our findings are consistent, providing partial support for both WCC and EPF models.
The research was supported by the National Institutes of Health, R01-DC006155, with additional funding from 1T32 DC007361-03 (BK) and NIGMS SDSU MBRS Program 5R25GN58906 (AIR). Special thanks to Natacha Akshoomoff for help in the recruitment of ASD participants, Sylvia Knust for help with data collection, and especially the children and families who generously participated.
- American Psychiatric Association. (1994). Diagnostic and statistical manual of mental disorders (4th ed.). Washington, DC.Google Scholar
- Jarrold, C., Gilchrist, I. D., & Bender, A. (2005). Embedded figures detection in autism and typical development: Preliminary evidence of a double dissociation in relationships with visual search. Developmental Science, 8(4), 344–351. doi:10.1111/j.1467-7687.2005.00422.x.PubMedCrossRefGoogle Scholar
- Kemner, C., van Ewijk, L., van Engeland, H., & Hooge, I. (2007). Brief report: Eye movements during visual search tasks indicate enhanced stimulus discriminability in subjects with PDD. Journal of Autism and Developmental Disorders, 38(3), 553–557.Google Scholar
- Lee, P. S., Foss-Feig, J., Henderson, J. G., Kenworthy, L. E., Gilotty, L., Gaillard, W. D., et al. (2007). Atypical neural substrates of embedded figures task performance in children with autism spectrum disorder. NeuroImage, 38(1), 184–193. doi:10.1016/j.neuroimage.2007.07.013.PubMedCrossRefGoogle Scholar
- Lord, C., Rutter, M., DiLavore, P.C., & Risi, S. (1999). Autism diagnostic observation schedule-WPS (ADOS-WPS). Los Angeles, CA: Western Psychological Services.Google Scholar
- Ring, H. A., Baron-Cohen, S., Wheelwright, S., Williams, S. C., Brammer, M., Andrew, C., et al. (1999). Cerebral correlates of preserved cognitive skills in autism: A functional MRI study of embedded figures task performance. Brain, 122(Pt 7), 1305–1315. doi:10.1093/brain/122.7.1305.PubMedCrossRefGoogle Scholar
- Rutter, M., Le Couteur, A., & Lord, C. (2003). Autism diagnostic interview—revised. Los Angeles, CA: Western Psychological Services.Google Scholar
- Wechsler, D. (2000). Wechsler’s abbreviated scale of intelligence. San Antonio, Texas: The Psychological Corporation.Google Scholar
- Witkin, H. A., Oltman, P. K., Raskin, E., & Karp, S. A. (1971). Manual embedded figures test, children’s embedded figures test, group embedded figures test. Consulting Psychologists Press.Google Scholar