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Manning C. Visual processing and decision-making in autism and dyslexia: Insights from cross-syndrome approaches. Q J Exp Psychol (Hove) 2024:17470218241264627. [PMID: 38876999 DOI: 10.1177/17470218241264627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2024]
Abstract
Atypical visual processing has been reported in developmental conditions like autism and dyslexia, and some accounts propose a causal role for visual processing in the development of these conditions. However, few studies make direct comparisons between conditions, or use sufficiently sensitive methods, meaning that it is hard to say whether atypical visual processing tells us anything specific about these conditions, or whether it reflects a more general marker of atypical development. Here I review findings from two computational modelling approaches (equivalent noise and diffusion modelling) and related electroencephalography (EEG) indices which we have applied to data from autistic, dyslexic and typically developing children to reveal how the component processes involved in visual processing and decision-making are altered in autism and dyslexia. The results identify both areas of convergence and divergence in autistic and dyslexic children's visual processing and decision-making, with implications for influential theoretical accounts such as weak central coherence, increased internal noise, and dorsal-stream vulnerability. In both sets of studies, we also see considerable variability across children in all three groups. To better understand this variability, and further understand the convergence and divergence identified between conditions, future studies would benefit from studying how the component processes reviewed here relate to transdiagnostic dimensions, which will also give insights into individual differences in visual processing and decision-making more generally.
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Affiliation(s)
- Catherine Manning
- School of Psychology and Clinical Language Sciences, University of Reading, Reading, UK
- School of Psychology, University of Birmingham, Birmingham, UK
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2
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Ronconi L, Vitale A, Federici A, Pini E, Molteni M, Casartelli L. Altered neural oscillations and connectivity in the beta band underlie detail-oriented visual processing in autism. Neuroimage Clin 2020; 28:102484. [PMID: 33395975 PMCID: PMC7663221 DOI: 10.1016/j.nicl.2020.102484] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 08/11/2020] [Accepted: 10/22/2020] [Indexed: 11/21/2022]
Abstract
Sensory and perceptual anomalies may have a major impact on basic cognitive and social skills in humans. Autism Spectrum Disorder (ASD) represents a special perspective to explore this relationship, being characterized by both these features. The present study employed electroencephalography (EEG) to test whether detail-oriented visual perception, a recognized hallmark of ASD, is associated with altered neural oscillations and functional connectivity in the beta frequency band, considering its role in feedback and top-down reentrant signalling in the typical population. Using a visual crowding task, where participants had to discriminate a peripheral target letter surrounded by flankers at different distances, we found that detail-oriented processing in children with ASD, as compared to typically developing peers, could be attributed to anomalous oscillatory activity in the beta band (15-30 Hz), while no differences emerged in the alpha band (8-12 Hz). Altered beta oscillatory response reflected in turn atypical functional connectivity between occipital areas, where the initial stimulus analysis is accomplished, and infero-temporal regions, where objects identity is extracted. Such atypical beta connectivity predicted both ASD symptomatology and their detail-oriented processing. Overall, these results might be explained by an altered feedback connectivity within the visual system, with potential cascade effects in visual scene parsing and higher order functions.
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Affiliation(s)
- Luca Ronconi
- Faculty of Psychology, Vita-Salute San Raffaele University, Milan, Italy; IRCCS San Raffaele Scientific Institute, Milan, Italy; Theoretical and Cognitive Neuroscience Unit, Child Psychopathology Department, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy.
| | - Andrea Vitale
- Theoretical and Cognitive Neuroscience Unit, Child Psychopathology Department, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy
| | - Alessandra Federici
- Theoretical and Cognitive Neuroscience Unit, Child Psychopathology Department, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy; IMT School of Advanced Studies Lucca, Lucca, Italy
| | - Elisa Pini
- Theoretical and Cognitive Neuroscience Unit, Child Psychopathology Department, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy; Department of Psychology, University of Milano-Bicocca, Milano, Italy
| | - Massimo Molteni
- Child Psychopathology Department, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy.
| | - Luca Casartelli
- Theoretical and Cognitive Neuroscience Unit, Child Psychopathology Department, Scientific Institute IRCCS Eugenio Medea, Bosisio Parini, Italy
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3
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Castaldi E, Turi M, Gassama S, Piazza M, Eger E. Excessive visual crowding effects in developmental dyscalculia. J Vis 2020; 20:7. [PMID: 32756882 PMCID: PMC7438630 DOI: 10.1167/jov.20.8.7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 06/12/2020] [Indexed: 01/29/2023] Open
Abstract
Visual crowding refers to the inability to identify objects when surrounded by other similar items. Crowding-like mechanisms are thought to play a key role in numerical perception by determining the sensory mechanisms through which ensembles are perceived. Enhanced visual crowding might hence prevent the normal development of a system involved in segregating and perceiving discrete numbers of items and ultimately the acquisition of more abstract numerical skills. Here, we investigated whether excessive crowding occurs in developmental dyscalculia (DD), a neurodevelopmental disorder characterized by difficulty in learning the most basic numerical and arithmetical concepts, and whether it is found independently of associated major reading and attentional difficulties. We measured spatial crowding in two groups of adult individuals with DD and control subjects. In separate experiments, participants were asked to discriminate the orientation of a Gabor patch either in isolation or under spatial crowding. Orientation discrimination thresholds were comparable across groups when stimuli were shown in isolation, yet they were much higher for the DD group with respect to the control group when the target was crowded by closely neighbouring flanking gratings. The difficulty in discriminating orientation (as reflected by the combination of accuracy and reaction times) in the DD compared to the control group persisted over several larger target flanker distances. Finally, we found that the degree of such spatial crowding correlated with impairments in mathematical abilities even when controlling for visual attention and reading skills. These results suggest that excessive crowding effects might be a characteristic of DD, independent of other associated neurodevelopmental disorders.
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Affiliation(s)
- Elisa Castaldi
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
- Department of Neuroscience, Psychology, Pharmacology and Child Health, University of Florence, Florence, Italy
- Cognitive Neuroimaging Unit, NeuroSpin Center, CEA DRF/JOLIOT, INSERM, Université Paris-Saclay, Gif-sur-Yvette, Paris, France
| | - Marco Turi
- Fondazione Stella Maris Mediterraneo, Potenza, Italy
| | - Sahawanatou Gassama
- Paris Santé Réussite, Centre de diagnostic des troubles des apprentissages, Paris, France
| | - Manuela Piazza
- Center for Mind/Brain Sciences, University of Trento, Italy
| | - Evelyn Eger
- Cognitive Neuroimaging Unit, NeuroSpin Center, CEA DRF/JOLIOT, INSERM, Université Paris-Saclay, Gif-sur-Yvette, Paris, France
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4
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Zhang M, Jiao J, Hu X, Yang P, Huang Y, Situ M, Guo K, Cai J, Huang Y. Exploring the spatial working memory and visual perception in children with autism spectrum disorder and general population with high autism-like traits. PLoS One 2020; 15:e0235552. [PMID: 32645114 PMCID: PMC7347168 DOI: 10.1371/journal.pone.0235552] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Accepted: 06/15/2020] [Indexed: 02/05/2023] Open
Abstract
The aim of the study is to compare the spatial working memory and visual perception between children with autism spectrum disorder (ASD) and typically developing control (TDC). Furthermore, this study validated whether this impairment was a feature of autism in general population with different autism-like traits (ALTs). This study contains two parts: case-control study and community population study. The ASD group and the control group were enlisted voluntarily (ASD group, n = 52; control group, n = 32). In the population study, we recruited 2994 children. Based on the scores of Autism Spectrum Quotient (AQ), children were divided into two groups (higher ALTs n = 122, lower ALTs n = 122). The participants completed the cognition tasks focusing on spatial working memory, visual-motor integration, and Intelligence. Analysis of covariance (ANCOVA) was conducted, with potential confounders IQ, age, and gender were controlled. Pearson correlations were computed by controlling the IQ and age as covariate to better understand the relations between visual perception, spatial working memory, and autism-like traits. In the case-control study, the results of cognition tasks focusing on the spatial working memory and visual perception indicated underperformance in children with ASD. In the community population study, we found that individuals with higher ALTs performed worse than children with lower ALTs in spatial working memory. Pearson correlation analysis suggested that a correlation between SWM total errors and visual perception was identified both in the children with ASD and in community population (ASD group, r = -0.592, p<0.001; general population, r = -0.201, p = 0.003). It suggested that spatial working memory deficit was a characteristic of autism, and may be distributed across the general population. Furthermore, we speculated a correlation between spatial working memory and visual perception in children with ASD and in general population.
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Affiliation(s)
- Manxue Zhang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jian Jiao
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Xiao Hu
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Pingyuan Yang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yan Huang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Mingjing Situ
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Kuifang Guo
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Jia Cai
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China
| | - Yi Huang
- Mental Health Center, West China Hospital of Sichuan University, Chengdu, China.,Brain Research Center, West China Hospital of Sichuan University, Chengdu, China.,Psychiatric Laboratory, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Balasco L, Provenzano G, Bozzi Y. Sensory Abnormalities in Autism Spectrum Disorders: A Focus on the Tactile Domain, From Genetic Mouse Models to the Clinic. Front Psychiatry 2020; 10:1016. [PMID: 32047448 PMCID: PMC6997554 DOI: 10.3389/fpsyt.2019.01016] [Citation(s) in RCA: 67] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 12/20/2019] [Indexed: 12/20/2022] Open
Abstract
Sensory abnormalities are commonly recognized as diagnostic criteria in autism spectrum disorder (ASD), as reported in the last edition of the Diagnostic and Statistical Manual of Mental Disorder (DSM-V). About 90% of ASD individuals have atypical sensory experiences, described as both hyper- and hypo-reactivity, with abnormal responses to tactile stimulation representing a very frequent finding. In this review, we will address the neurobiological bases of sensory processing in ASD, with a specific focus of tactile sensitivity. In the first part, we will review the most relevant sensory abnormalities detected in ASD, and then focus on tactile processing deficits through the discussion of recent clinical and experimental studies. In the search for the neurobiological bases of ASD, several mouse models have been generated with knockout and humanized knockin mutations in many ASD-associated genes. Here, we will therefore give a brief overview of the anatomical structure of the mouse somatosensory system, and describe the somatosensory abnormalities so far reported in different mouse models of ASD. Understanding the neurobiological bases of sensory processing in ASD mouse models may represent an opportunity for a better comprehension of the mechanisms underlying sensory abnormalities, and for the development of novel effective therapeutic strategies.
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Affiliation(s)
- Luigi Balasco
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
| | - Giovanni Provenzano
- Department of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy
| | - Yuri Bozzi
- Center for Mind/Brain Sciences (CIMeC), University of Trento, Rovereto, Italy
- CNR Neuroscience Institute, Pisa, Italy
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Superior Visual Search and Crowding Abilities Are Not Characteristic of All Individuals on the Autism Spectrum. J Autism Dev Disord 2018; 48:3499-3512. [DOI: 10.1007/s10803-018-3601-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Park WJ, Schauder KB, Zhang R, Bennetto L, Tadin D. High internal noise and poor external noise filtering characterize perception in autism spectrum disorder. Sci Rep 2017; 7:17584. [PMID: 29242499 PMCID: PMC5730555 DOI: 10.1038/s41598-017-17676-5] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2017] [Accepted: 11/28/2017] [Indexed: 11/28/2022] Open
Abstract
An emerging hypothesis postulates that internal noise is a key factor influencing perceptual abilities in autism spectrum disorder (ASD). Given fundamental and inescapable effects of noise on nearly all aspects of neural processing, this could be a critical abnormality with broad implications for perception, behavior, and cognition. However, this proposal has been challenged by both theoretical and empirical studies. A crucial question is whether and how internal noise limits perception in ASD, independently from other sources of perceptual inefficiency, such as the ability to filter out external noise. Here, we separately estimated internal noise and external noise filtering in ASD. In children and adolescents with and without ASD, we computationally modeled individuals' visual orientation discrimination in the presence of varying levels of external noise. The results revealed increased internal noise and worse external noise filtering in individuals with ASD. For both factors, we also observed high inter-individual variability in ASD, with only the internal noise estimates significantly correlating with severity of ASD symptoms. We provide evidence for reduced perceptual efficiency in ASD that is due to both increased internal noise and worse external noise filtering, while highlighting internal noise as a possible contributing factor to variability in ASD symptoms.
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Affiliation(s)
- Woon Ju Park
- Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, 14627, USA.
- Center for Visual Science, University of Rochester, Rochester, NY, 14627, USA.
| | - Kimberly B Schauder
- Center for Visual Science, University of Rochester, Rochester, NY, 14627, USA
- Department of Clinical and Social Sciences in Psychology, University of Rochester, Rochester, NY, 14627, USA
| | - Ruyuan Zhang
- Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, 14627, USA
- Center for Visual Science, University of Rochester, Rochester, NY, 14627, USA
- Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota at Twin Cities, Minneapolis, MN, 55455, USA
| | - Loisa Bennetto
- Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, 14627, USA
- Department of Clinical and Social Sciences in Psychology, University of Rochester, Rochester, NY, 14627, USA
| | - Duje Tadin
- Department of Brain and Cognitive Sciences, University of Rochester, Rochester, NY, 14627, USA
- Center for Visual Science, University of Rochester, Rochester, NY, 14627, USA
- Department of Ophthalmology, University of Rochester School of Medicine, Rochester, NY, 14642, USA
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Abstract
Autism is a complex neurodevelopmental condition, and little is known about its neurobiology. Much of autism research has focused on the social, communication and cognitive difficulties associated with the condition. However, the recent revision of the diagnostic criteria for autism has brought another key domain of autistic experience into focus: sensory processing. Here, we review the properties of sensory processing in autism and discuss recent computational and neurobiological insights arising from attention to these behaviours. We argue that sensory traits have important implications for the development of animal and computational models of the condition. Finally, we consider how difficulties in sensory processing may relate to the other domains of behaviour that characterize autism.
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