Motion and pattern cortical potentials in adults with high-functioning autism spectrum disorder

Constable, Paul A.; Gaigg, Sebastian; Bowler, Dermot; Thompson, Dorothy

doi:10.1007/s10633-012-9349-7

Cited by 18 publications

(5 citation statements)

References 52 publications

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“…Since this finding, several studies have confirmed superiority in the Embedded Figures Task in both children and in adults on the spectrum – although functional imaging suggest the advantage for the Embedded Figures Task lies within the primary visual cortex rather than higher cortical areas . While visual evoked potentials to pattern reversal high and low contrast chequer boards are not different in ASD adults, there are differences in the responses to higher‐order motion stimuli . More recent work has highlighted a difference to low contrast drifting gratings in V1 suggesting that there may be altered contrast gain control or suppression in V1 .…”

Section: Discussionmentioning

confidence: 99%

Effect size of search superiority in autism spectrum disorder

Constable

Bailey

Beck

et al. 2020

Clinical and Experimental Optometry

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This review of the literature in visual search superiority in autism was intended to quantify the effect size of visual search performance in autism. Not all studies have found an advantage within the autistic population. Early findings on search superiority have led to different proposed mechanisms for the observed results. A review of feature search found that the effect size was low across 15 included studies (Cohen's d 0.089 [−0.150 to 0.293]). However, the effect size was larger for more complex search paradigms using a conjunctive search strategy with Cohen's d showing a moderate effect of 0.223 (0.087 to 0.293). The majority of studies were limited to a small sample size and biased toward the high-functioning end of the autistic spectrum. The overall results indicate that within the autism spectrum disorder population there is a low to moderate search advantage compared to typically developing individuals.

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Section: Discussionmentioning

confidence: 99%

Effect size of search superiority in autism spectrum disorder

Constable

Bailey

Beck

et al. 2020

Clinical and Experimental Optometry

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“…However, other reported no differences in the properties of the P100 using pattern reversal with low spatial frequencies gratings in adults (Jemel 2010, Constable 2012, suggesting a specific deficit in processing high frequencies. While all those studies varied by different experimental settings, levels of attention required and also age range tested, they converged to an abnormal spatial frequency processing in ASD (see also pei 2014pei , Milne 2009b) that has contributed to the development of the weak central coherence hypothesis (Frith, 1989) and the enhanced perceptual functioning hypothesis (Mottron et al,2006) of ASD.…”

Section: N135mentioning

confidence: 94%

“…Visual responses generated by the prestriate and striate visual cortices have been shown to be affected in children and adults with ASD when participants were presented with gabor patches, black and white patterns, gratings or other simple shapes (Milne et al 2009b;Constable et al 2012;Vandenbroucke et al 2008;Pei et al 2014;Baruth et al 2010;Takarae et al 2014).…”

mentioning

confidence: 99%

Brief Report: Early VEPs to Pattern-Reversal in Adolescents and Adults with Autism

Kovarski

Thillay

Houy‐Durand

et al. 2016

J Autism Dev Disord

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Autism spectrum disorder (ASD) is characterized by atypical visual perception both in the social and nonsocial domain. In order to measure a reliable visual response, visual evoked potentials were recorded during a passive pattern-reversal stimulation in adolescents and adults with and without ASD. While the present results show the same age-related changes in both autistic and non-autistic groups, they reveal a smaller P100 amplitude in the ASD group compared to controls. These results confirm that early visual responses are affected in ASD even with a simple, non social and passive stimulation and suggest that they should be considered in order to better understand higher-level processes.

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“…ASD and ADHD often present as co-occurrence in children ( Russell et al, 2014 ; Mansour et al, 2017 ) as well as other co-occurrences of conditions such as anxiety, epilepsy, and sleep disorders ( Bougeard et al, 2021 ). Visual perception in ASD shows superiority in visual search ( Constable et al, 2020a ) and abnormal electrophysiological cortical differences in global motion perception ( van der Hallen et al, 2019 ), motion onset ( Constable et al, 2012 ), and coherence thresholds perception ( Robertson et al, 2014 ). For reviews of sensory and visual perception in ASD see Dakin and Frith (2005) and Robertson and Baron-Cohen (2017) .…”

Section: Introductionmentioning

confidence: 99%

Discrete Wavelet Transform Analysis of the Electroretinogram in Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder

et al. 2022

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BackgroundTo evaluate the electroretinogram waveform in autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) using a discrete wavelet transform (DWT) approach.MethodsA total of 55 ASD, 15 ADHD and 156 control individuals took part in this study. Full field light-adapted electroretinograms (ERGs) were recorded using a Troland protocol, accounting for pupil size, with five flash strengths ranging from –0.12 to 1.20 log photopic cd.s.m–2. A DWT analysis was performed using the Haar wavelet on the waveforms to examine the energy within the time windows of the a- and b-waves and the oscillatory potentials (OPs) which yielded six DWT coefficients related to these parameters. The central frequency bands were from 20–160 Hz relating to the a-wave, b-wave and OPs represented by the coefficients: a20, a40, b20, b40, op80, and op160, respectively. In addition, the b-wave amplitude and percentage energy contribution of the OPs (%OPs) in the total ERG broadband energy was evaluated.ResultsThere were significant group differences (p < 0.001) in the coefficients corresponding to energies in the b-wave (b20, b40) and OPs (op80 and op160) as well as the b-wave amplitude. Notable differences between the ADHD and control groups were found in the b20 and b40 coefficients. In contrast, the greatest differences between the ASD and control group were found in the op80 and op160 coefficients. The b-wave amplitude showed both ASD and ADHD significant group differences from the control participants, for flash strengths greater than 0.4 log photopic cd.s.m–2 (p < 0.001).ConclusionThis methodological approach may provide insights about neuronal activity in studies investigating group differences where retinal signaling may be altered through neurodevelopment or neurodegenerative conditions. However, further work will be required to determine if retinal signal analysis can offer a classification model for neurodevelopmental conditions in which there is a co-occurrence such as ASD and ADHD.

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Motion and pattern cortical potentials in adults with high-functioning autism spectrum disorder

Cited by 18 publications

References 52 publications

Effect size of search superiority in autism spectrum disorder

Effect size of search superiority in autism spectrum disorder

Brief Report: Early VEPs to Pattern-Reversal in Adolescents and Adults with Autism

Discrete Wavelet Transform Analysis of the Electroretinogram in Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder

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