Social Perception in Autism Spectrum Disorders: Impaired Category Selectivity for Dynamic but not Static Images in Ventral Temporal Cortex

Weisberg, Jill; Milleville, Shawn C.; Kenworthy, Lauren; Wallace, Gregory L.; Gotts, Stephen J.; Beauchamp, Michael S.; Martin, Alex

doi:10.1093/cercor/bhs276

Cited by 52 publications

(50 citation statements)

References 85 publications

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“…Furthermore, the two alternative preprocessing methods that address more global artifacts (ANATICOR, GCOR) produced qualitatively similar results to one another, with reasonable agreement about the direction of effects and regions involved as in another recent whole-brain study of functional connectivity in ASD that did not apply GS regression (e.g., Anderson et al, 2011b). The locations involved also agree well with task-based studies of evoked responses in ASD and TD participants that employ social and linguistic stimuli (e.g., Castelli et al, 2002; Just et al, 2004; Di Martino et al, 2009; Kaiser et al, 2010; Lombardo et al, 2010; Dinstein et al, 2011; Weisberg et al, 2012). In contrast, a recent whole-brain resting-state study of ASD that applied GS regression found a mixture of increased and decreased correlations relative to TD participants (Rudie et al, 2013).…”

Section: Discussionsupporting

confidence: 80%

The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders

Gotts¹,

Saad²,

Jo³

et al. 2013

Front. Hum. Neurosci.

251

239

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We have previously argued from a theoretical basis that the standard practice of regression of the Global Signal from the fMRI time series in functional connectivity studies is ill advised, particularly when comparing groups of participants. Here, we demonstrate in resting-state data from participants with an Autism Spectrum Disorder and matched controls that these concerns are also well founded in real data. Using the prior theoretical work to formulate predictions, we show: (1) rather than simply altering the mean or range of correlation values amongst pairs of brain regions, Global Signal Regression systematically alters the rank ordering of values in addition to introducing negative values, (2) it leads to a reversal in the direction of group correlation differences relative to other preprocessing approaches, with a higher incidence of both long-range and local correlation differences that favor the Autism Spectrum Disorder group, (3) the strongest group differences under other preprocessing approaches are the ones most altered by Global Signal Regression, and (4) locations showing group differences no longer agree with those showing correlations with behavioral symptoms within the Autism Spectrum Disorder group. The correlation matrices of both participant groups under Global Signal Regression were well predicted by our previous mathematical analyses, demonstrating that there is nothing mysterious about these results. Finally, when independent physiological nuisance measures are lacking, we provide a simple alternative approach for assessing and lessening the influence of global correlations on group comparisons that replicates our previous findings. While this alternative performs less well for symptom correlations than our favored preprocessing approach that includes removal of independent physiological measures, it is preferable to the use of Global Signal Regression, which prevents unequivocal conclusions about the direction or location of group differences.

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Section: Discussionsupporting

confidence: 80%

The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders

Gotts¹,

Saad²,

Jo³

et al. 2013

Front. Hum. Neurosci.

251

239

View full text Add to dashboard Cite

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“…Specifically, studies have shown that the width of the temporal window required to bind audiovisual for social stimuli (e.g., how tightly in time mouth movements and voice must be aligned), but not for nonsocial stimuli (e.g., visual flash-beep), is larger in ASD than in healthy control subjects (59). Furthermore, recent studies suggest that individuals with ASD show greater perceptual impairments for dynamic social stimuli (60), which rely on integration of information over time and extended coordination of neural activity, compared with static social stimuli. Finally, it has also been shown that individuals with ASD have aberrant speech–gesture integration, particularly during face-to-face social interactions (61).…”

Section: Discussionmentioning

confidence: 99%

Aberrant Oscillatory Synchrony Is Biased Toward Specific Frequencies and Processing Domains in the Autistic Brain

Ghuman

Honert

Huppert

et al. 2017

Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

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Background Prevailing theories suggest that autism spectrum disorder (ASD) results from impaired brain communication, causing aberrant synchrony among neuronal populations. However, it remains debated whether synchrony abnormalities are among local or long-range circuits, are circuit specific or are generalized, reflect hypersynchrony or reflect hyposynchrony, and are frequency band–specific or are distributed across the frequency spectrum. Methods To help clarify these unresolved questions, we recorded spontaneous magnetoencephalography data and used a data-driven, whole-brain analysis of frequency-specific interregional synchrony in higher-functioning adolescents and adults, with 17 ASD and 18 control subjects matched on age, IQ, and sex, and equal for motion. Results Individuals with ASD showed local hypersynchrony in the theta band (4–7 Hz) in the lateral occipitotemporal cortex. Long-range hyposynchrony was seen in the alpha band (10–13 Hz), which was most prominent in neural circuitry underpinning social processing. The magnitude of this alpha band hyposynchrony was correlated with social symptom severity. Conclusions These results suggest that although ASD is associated with both decreased long-range synchrony and increased posterior local synchrony, with each effect limited to a specific frequency band, impairments in social functioning may be most related to decreased alpha band synchronization between critical nodes of the social processing network.

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“…With regard to visual processing, activity in the pSTS was less modulated by whether or not the characters' actions were incongruent with their initially displayed preference in individuals with ASD compared to typically developing controls (Vander Wyk et al, 2009). Similarly, aberrant FFG (Dziobek et al, 2010; Kleinhans et al, 2008; Weisberg et al, 2014), AMY (Schultz, 2005; Swartz et al, 2013; Tottenham et al, 2014) and OFC (Bachevalier and Loveland, 2006; Sabbagh, 2004; Sawa et al, 2013) have also been implicated in the social perception deficits of individuals with ASD. In addition, in the auditory domain, individuals with ASD showed a similar activation pattern to controls for non-vocal sounds but failed to activate the voice-selective regions of the pSTS in response to vocal sounds (Gervais et al, 2004).…”

Section: A Neural System For Social Perceptionmentioning

confidence: 99%

An integrative neural model of social perception, action observation, and theory of mind

Yang¹,

Rosenblau²,

Keifer³

et al. 2015

Neuroscience & Biobehavioral Reviews

240

162

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In the field of social neuroscience, major branches of research have been instrumental in describing independent components of typical and aberrant social information processing, but the field as a whole lacks a comprehensive model that integrates different branches. We review existing research related to the neural basis of three key neural systems underlying social information processing: social perception, action observation, and theory of mind. We propose an integrative model that unites these three processes and highlights the posterior superior temporal sulcus (pSTS), which plays a central role in all three systems. Furthermore, we integrate these neural systems with the dual system account of implicit and explicit social information processing. Large-scale meta-analyses based on Neurosynth confirmed that the pSTS is at the intersection of the three neural systems. Resting-state functional connectivity analysis with 1000 subjects confirmed that the pSTS is connected to all other regions in these systems. The findings presented in this review are specifically relevant for psychiatric research especially disorders characterized by social deficits such as autism spectrum disorder.

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Social Perception in Autism Spectrum Disorders: Impaired Category Selectivity for Dynamic but not Static Images in Ventral Temporal Cortex

Cited by 52 publications

References 85 publications

The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders

The perils of global signal regression for group comparisons: a case study of Autism Spectrum Disorders

Aberrant Oscillatory Synchrony Is Biased Toward Specific Frequencies and Processing Domains in the Autistic Brain

An integrative neural model of social perception, action observation, and theory of mind

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