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Silva AE, Harding JE, Chakraborty A, Dai DW, Gamble GD, McKinlay CJD, Nivins S, Shah R, Thompson B. Associations Between Autism Spectrum Quotient and Integration of Visual Stimuli in 9-year-old Children: Preliminary Evidence of Sex Differences. J Autism Dev Disord 2024; 54:2987-2997. [PMID: 37344731 DOI: 10.1007/s10803-023-06035-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/30/2023] [Indexed: 06/23/2023]
Abstract
PURPOSE The dorsal stream vulnerability hypothesis posits that the dorsal stream, responsible for visual motion and visuo-motor processing, may be particularly vulnerable during neurodevelopment. Consistent with this, autism spectrum disorder (ASD) has been associated with deficits in global motion integration, though deficits in ventral stream tasks, such as form identification, have also been reported. In the current study, we examined whether a similar pattern of results is found in a cohort of 381 children born with neurodevelopmental risk factors and exhibiting a wide spectrum of caregiver-reported autistic traits. METHODS We examined the associations between global motion perception, global form perception, fine motor function, visual-motor integration, and autistic traits (autism spectrum quotient, AQ) using linear regression, accounting for possible interactions with sex and other factors relevant to neurodevelopment. RESULTS All assessments of dorsal stream function were significantly associated with AQ such that worse performance predicted higher AQ scores. We also observed a significant sex interaction, with worse global form perception associated with higher AQ in boys (n = 202) but not girls (n = 179). CONCLUSION We found widespread associations between dorsal stream functions and autistic traits. These associations were observed in a large group of children with a range of AQ scores, demonstrating a range of visual function across the full spectrum of autistic traits. In addition, ventral function was associated with AQ in boys but not girls. Sex differences in the associations between visual processing and neurodevelopment should be considered in the designs of future studies.
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Affiliation(s)
- Andrew E Silva
- School of Optometry and Vision Science, University of Waterloo, Waterloo, ON, Canada.
| | - Jane E Harding
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Arijit Chakraborty
- Chicago College of Optometry, Midwestern University, Downers Grove, IL, USA
| | - Darren W Dai
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Greg D Gamble
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Christopher J D McKinlay
- Liggins Institute, The University of Auckland, Auckland, New Zealand
- Kidz First Neonatal Care, Auckland, New Zealand
| | - Samson Nivins
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Rajesh Shah
- Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - Benjamin Thompson
- School of Optometry and Vision Science, University of Waterloo, Waterloo, ON, Canada
- Liggins Institute, The University of Auckland, Auckland, New Zealand
- Centre for Eye and Vision Research Limited, 17W Science Park, Shatin, Hong Kong
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2
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Kurumada C, Rivera R, Allen P, Bennetto L. Perception and adaptation of receptive prosody in autistic adolescents. Sci Rep 2024; 14:16409. [PMID: 39013983 PMCID: PMC11252140 DOI: 10.1038/s41598-024-66569-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Accepted: 07/01/2024] [Indexed: 07/18/2024] Open
Abstract
A fundamental aspect of language processing is inferring others' minds from subtle variations in speech. The same word or sentence can often convey different meanings depending on its tempo, timing, and intonation-features often referred to as prosody. Although autistic children and adults are known to experience difficulty in making such inferences, the science remains unclear as to why. We hypothesize that detail-oriented perception in autism may interfere with the inference process if it lacks the adaptivity required to cope with the variability ubiquitous in human speech. Using a novel prosodic continuum that shifts the sentence meaning gradiently from a statement (e.g., "It's raining") to a question (e.g., "It's raining?"), we have investigated the perception and adaptation of receptive prosody in autistic adolescents and two groups of non-autistic controls. Autistic adolescents showed attenuated adaptivity in categorizing prosody, whereas they were equivalent to controls in terms of discrimination accuracy. Combined with recent findings in segmental (e.g., phoneme) recognition, the current results provide the basis for an emerging research framework for attenuated flexibility and reduced influence of contextual feedback as a possible source of deficits that hinder linguistic and social communication in autism.
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Affiliation(s)
- Chigusa Kurumada
- Brain and Cognitive Sciences, University of Rochester, Rochester, 14627, USA.
| | - Rachel Rivera
- Psychology, University of Rochester, Rochester, 14627, USA
| | - Paul Allen
- Psychology, University of Rochester, Rochester, 14627, USA
- Otolaryngology, University of Rochester Medical Center, Rochester, 14642, USA
| | - Loisa Bennetto
- Psychology, University of Rochester, Rochester, 14627, USA
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3
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Papastamou F, Dumont C, Destrebecqz A, Kissine M. Predictive Processing During Cue-Outcome Associative Learning in Autistic Children. J Autism Dev Disord 2024:10.1007/s10803-024-06448-6. [PMID: 38951312 DOI: 10.1007/s10803-024-06448-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/19/2024] [Indexed: 07/03/2024]
Abstract
PURPOSE Predictive coding theories posit that autism is characterized by an over-adjustment to prediction errors, resulting in frequent updates of prior beliefs. Atypical weighting of prediction errors is generally considered to negatively impact the construction of stable models of the world, but may also yield beneficial effects. In a novel associative learning paradigm, we investigated whether unexpected events trigger faster learning updates in favour of subtle but fully predictive cues in autistic children compared to their non-autistic counterparts. We also explored the relationship between children's language proficiency and their predictive performances. METHODS Anticipatory fixations and explicit predictions were recorded during three associative learning tasks with deterministic or probabilistic contingencies. One of the probabilistic tasks was designed so that a fully predictive but subtle cue was overshadowed by a less predictive salient one. RESULTS Both autistic and non-autistic children based their learning on the salient cue, and, contrary to our predictions, showed no signs of updating in favour of the subtle cue. While both groups demonstrated associative learning, autistic children made less accurate explicit predictions than their non-autistic peers in all tasks. Explicit prediction performances were positively correlated with language proficiency in non-autistic children, but no such correlation was observed in autistic children. CONCLUSION These results suggest no over-adjustment to prediction errors in autistic children and highlight the need to control for general performance in cue-outcome associative learning in predictive processing studies. Further research is needed to explore the nature of the relationship between predictive processing and language development in autism.
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Affiliation(s)
- Fanny Papastamou
- | F.R.S.-FNRS - Fonds de la Recherche Scientifique Fondation d'utilité publique, Rue d'Egmont 5, Brussels, B-1000, Belgium.
- CRCN, Université libre de Bruxelles, 50 avenue F.D. Roosevelt, Brussels, CP 175, 1050, Belgium.
| | - Charlotte Dumont
- | F.R.S.-FNRS - Fonds de la Recherche Scientifique Fondation d'utilité publique, Rue d'Egmont 5, Brussels, B-1000, Belgium
- CRCN, Université libre de Bruxelles, 50 avenue F.D. Roosevelt, Brussels, CP 175, 1050, Belgium
| | - Arnaud Destrebecqz
- CRCN, Université libre de Bruxelles, 50 avenue F.D. Roosevelt, Brussels, CP 175, 1050, Belgium
| | - Mikhail Kissine
- | F.R.S.-FNRS - Fonds de la Recherche Scientifique Fondation d'utilité publique, Rue d'Egmont 5, Brussels, B-1000, Belgium
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4
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Faustmann LL, Altgassen M. A matter of precision? Scene imagery in individuals with high-functioning autism spectrum disorder. Autism Res 2024; 17:529-542. [PMID: 38470059 DOI: 10.1002/aur.3119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 02/18/2024] [Indexed: 03/13/2024]
Abstract
The ability to create mental representations of scenes is essential for remembering, predicting, and imagining. In individuals with autism spectrum disorders (ASD) this ability may be impaired. Considering that autistic characteristics such as weak central coherence or reduced communication abilities may disadvantage autistic participants in traditional imagery tasks, this study attempted to use a novel task design to measure the ability of scene imagery. Thirty high-functioning adults with ASD and 27 non-autistic matched control adults were asked to describe imagined fictitious scenes using two types of scene imagery tasks. In a free imagery task, participants were asked to imagine a scene based on a given keyword. In a guided imagery task, participants had to imagine a scene based on a detailed description of the scene. Additionally, narrative abilities were assessed using the Narrative Scoring Scheme. Statistical analyses revealed no group effects in the free and guided imagery of fictional scenes. Participants with ASD performed worse than control participants in the narrative task. Narrative abilities correlated positively with performance in both imagery tasks in the ASD group only. Hence, individuals with ASD seem to show as good imagery abilities as non-autistic individuals. The results are discussed in the light of the differences between imagery and imagination and possible gender differences.
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Affiliation(s)
- Larissa L Faustmann
- Department of Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
| | - Mareike Altgassen
- Department of Psychology, Johannes Gutenberg University Mainz, Mainz, Germany
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Idei H, Yamashita Y. Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models. Neural Netw 2024; 169:57-74. [PMID: 37857173 DOI: 10.1016/j.neunet.2023.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 10/21/2023]
Abstract
Vigorous research has been conducted to accumulate biological and theoretical knowledge about neurodevelopmental disorders, including molecular, neural, computational, and behavioral characteristics; however, these findings remain fragmentary and do not elucidate integrated mechanisms. An obstacle is the heterogeneity of developmental pathways causing clinical phenotypes. Additionally, in symptom formations, the primary causes and consequences of developmental learning processes are often indistinguishable. Herein, we review developmental neurorobotic experiments tackling problems related to the dynamic and complex properties of neurodevelopmental disorders. Specifically, we focus on neurorobotic models under predictive processing lens for the study of developmental disorders. By constructing neurorobotic models with predictive processing mechanisms of learning, perception, and action, we can simulate formations of integrated causal relationships among neurodynamical, computational, and behavioral characteristics in the robot agents while considering developmental learning processes. This framework has the potential to bind neurobiological hypotheses (excitation-inhibition imbalance and functional disconnection), computational accounts (unusual encoding of uncertainty), and clinical symptoms. Developmental neurorobotic approaches may serve as a complementary research framework for integrating fragmented knowledge and overcoming the heterogeneity of neurodevelopmental disorders.
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Affiliation(s)
- Hayato Idei
- Department of Information Medicine, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan
| | - Yuichi Yamashita
- Department of Information Medicine, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Tokyo 187-8502, Japan.
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6
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Suzuki N, Hirai M. Autistic traits associated with dichotomic thinking mediated by intolerance of uncertainty. Sci Rep 2023; 13:14049. [PMID: 37640756 PMCID: PMC10462756 DOI: 10.1038/s41598-023-41164-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2023] [Accepted: 08/23/2023] [Indexed: 08/31/2023] Open
Abstract
A recent cognitive model suggests that autistic individuals may experience dichotomous thinking patterns mediated by intolerance of uncertainty; however, empirical evidence to support this model is lacking. This study aimed to identify the relationships between autistic traits, intolerance of uncertainty, and dichotomous thinking using the Autism Spectrum Quotient, Short Intolerance of Uncertainty Scale, and the Dichotomous Thinking Inventory. We collected data from non-clinical university students (N = 151; pilot study) and general adults (N = 500; main study) and analyzed the results using structural equation modeling. Both studies showed a significant indirect effect of autistic traits on dichotomous thinking mediated by intolerance of uncertainty. Moreover, the results indicated that intolerance of uncertainty was significantly and positively associated with Autism Spectrum Quotient and Dichotomous Thinking Inventory scores. Conversely, there was a significant negative direct association between Autism Spectrum Quotient and Dichotomous Thinking Inventory scores. This is the first study to demonstrate that autistic traits can result in dichotomous thinking through intolerance of uncertainty. These findings provide insight into the cognitive patterns of autistic individuals.
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Affiliation(s)
- Noi Suzuki
- Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan
| | - Masahiro Hirai
- Department of Cognitive and Psychological Sciences, Graduate School of Informatics, Nagoya University, Furo-cho, Chikusa-ku, Nagoya, 464-8601, Japan.
- Department of Pediatrics, Jichi Medical University, 3311-1 Yakushiji, Shimotsuke, Tochigi, 329-0392, Japan.
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7
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Reisli S, Molholm S. Pre-attentive representation of prediction certainty in autism: A mismatch negativity (MMN) study. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.06.543878. [PMID: 37333250 PMCID: PMC10274699 DOI: 10.1101/2023.06.06.543878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
According to predictive processing theories of perception, the brain generates predictions to prepare for sensory input, and calibrates certainty of predictions based on their likelihood. When an input doesn't match the prediction, an error signal leads to updating of the predictive model. Prior research suggests altered prediction certainty in autism, but predictive processing occurs across the cortical hierarchy, and the stage(s) of processing where prediction certainty breaks down is unknown. We therefore tested the integrity of prediction certainty in autism at pre-attentive and relatively automatic processing stages using the pre-attentive Mismatch Negativity (MMN) brain response. The MMN occurs in response to a "deviant" presented in a stream of "standards" and is measured while the participant performs an orthogonal task. Most critically, MMN amplitude typically varies with the level of certainty associated with the prediction. We recorded high-density EEG while presenting adolescents and young adults with and without autism with repetitive tones every half second (the standard) interspersed with infrequent pitch and inter-stimulus-interval (ISI) deviants. Pitch and ISI deviant probabilities were manipulated at 4, 8, or 16% within a block of trials to test whether MMN amplitude varied in a typical manner with respect to probability. For both groups, Pitch-MMN amplitude increased as the probability of deviance decreased. Unexpectedly, ISI-MMN amplitude did not reliably vary by probability in either group. Our Pitch-MMN findings suggest intact neural representation of pre-attentive prediction certainty in autism, addressing a critical knowledge gap in autism research. The implications of these findings are considered. LAY SUMMARY Our brains are always trying to predict what will happen next. For example, when you open your utensil drawer, it would be surprising to see books because your brain expected to see utensils. In our study, we looked at whether the brains of autistic individuals automatically and accurately recognize when something unexpected happens. Results showed similar brain patterns in individuals with and without autism, suggesting that responses to prediction violations are generated in a typical manner during early cortical information processing.
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8
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van der Plas E, Mason D, Happé F. Decision-making in autism: A narrative review. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2023:13623613221148010. [PMID: 36794463 DOI: 10.1177/13623613221148010] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
LAY SUMMARY Many autistic people report difficulties with real-life decision-making. However, when doing decision-making tests in laboratory experiments, autistic people often perform as well or better than non-autistic people. We review previously published studies on autistic people's decision-making, across different types of tests, to understand what type of decision-making is more challenging. To do this, we searched four databases of research papers. We found 104 studies that tested, in total, 2712 autistic and 3189 comparison participants on different decision-making tasks. We found that there were four categories of decision-making tests that were used in these experiments: perceptual (e.g. deciding which image has the most dots); reward learning (e.g. learning which deck of cards gives the best reward); metacognition (e.g. knowing how well you perform or what you want); and value-based (e.g. making a decision based on a choice between two outcomes that differ in value to you). Overall, these studies suggest that autistic and comparison participants tend to perform similarly well at perceptual and reward-learning decisions. However, autistic participants tended to decide differently from comparison participants on metacognition and value-based paradigms. This suggests that autistic people might differ from typically developing controls in how they evaluate their own performance and in how they make decisions based on weighing up the subjective value of two different options. We suggest these reflect more general differences in metacognition, thinking about thinking, in autism.
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Angeletos Chrysaitis N, Seriès P. 10 years of Bayesian theories of autism: A comprehensive review. Neurosci Biobehav Rev 2023; 145:105022. [PMID: 36581168 DOI: 10.1016/j.neubiorev.2022.105022] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Accepted: 12/24/2022] [Indexed: 12/27/2022]
Abstract
Ten years ago, Pellicano and Burr published one of the most influential articles in the study of autism spectrum disorders, linking them to aberrant Bayesian inference processes in the brain. In particular, they proposed that autistic individuals are less influenced by their brains' prior beliefs about the environment. In this systematic review, we investigate if this theory is supported by the experimental evidence. To that end, we collect all studies which included comparisons across diagnostic groups or autistic traits and categorise them based on the investigated priors. Our results are highly mixed, with a slight majority of studies finding no difference in the integration of Bayesian priors. We find that priors developed during the experiments exhibited reduced influences more frequently than priors acquired previously, with various studies providing evidence for learning differences between participant groups. Finally, we focus on the methodological and computational aspects of the included studies, showing low statistical power and often inconsistent approaches. Based on our findings, we propose guidelines for future research.
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Affiliation(s)
- Nikitas Angeletos Chrysaitis
- Institute for Adaptive and Neural Computation, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, United Kingdom.
| | - Peggy Seriès
- Institute for Adaptive and Neural Computation, University of Edinburgh, 10 Crichton Street, Edinburgh EH8 9AB, United Kingdom.
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10
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Tal-Perry N, Yuval-Greenberg S. Contraction bias in temporal estimation. Cognition 2022; 229:105234. [PMID: 35961164 DOI: 10.1016/j.cognition.2022.105234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Revised: 07/24/2022] [Accepted: 07/25/2022] [Indexed: 11/15/2022]
Abstract
When asked to compare the perceptual features of two serially presented objects, participants are often biased to over- or under-estimate the difference in magnitude between the stimuli. Overestimation occurs consistently when a) the two stimuli are relatively small in magnitude and the first stimulus is larger in magnitude than the second; or b) the two stimuli are relatively large in magnitude and the first stimulus is smaller in magnitude than the second; underestimation consistently occurs in the complementary cases. This systematic perceptual bias, known as the contraction bias, was demonstrated for a multitude of perceptual features and in various modalities. Here, we tested whether estimation of time-duration is affected by the contraction bias. In each trial of three experiments (n = 20 each), participants compared the duration of two visually presented stimuli. Findings revealed over- and under-estimation effects as predicted by the contraction bias. Here, we discuss this asymmetry and describe how these findings can be explained via a Bayesian inference framework.
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Affiliation(s)
- Noam Tal-Perry
- School of Psychological Sciences, Tel-Aviv University, Israel
| | - Shlomit Yuval-Greenberg
- School of Psychological Sciences, Tel-Aviv University, Israel; Sagol School of Neuroscience, Tel-Aviv University, Israel.
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11
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Abstract
Autism is a neurodevelopmental disorder of unknown etiology. Recently, there has been a growing interest in sensory processing in autism as a core phenotype. However, basic questions remain unanswered. Here, we review the major findings and models of perception in autism and point to methodological issues that have led to conflicting results. We show that popular models of perception in autism, such as the reduced prior hypothesis, cannot explain the many and varied findings. To resolve these issues, we point to the benefits of using rigorous psychophysical methods to study perception in autism. We advocate for perceptual models that provide a detailed explanation of behavior while also taking into account factors such as context, learning, and attention. Furthermore, we demonstrate the importance of tracking changes over the course of development to reveal the causal pathways and compensatory mechanisms. Finally, we propose a developmental perceptual narrowing account of the condition. Expected final online publication date for the Annual Review of Vision Science, Volume 8 is September 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
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Affiliation(s)
- Bat-Sheva Hadad
- Department of Special Education and The Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel; ,
| | - Amit Yashar
- Department of Special Education and The Edmond J. Safra Brain Research Center, University of Haifa, Haifa, Israel; ,
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12
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Trujillo JP, Özyürek A, Kan CC, Sheftel-Simanova I, Bekkering H. Differences in functional brain organization during gesture recognition between autistic and neurotypical individuals. Soc Cogn Affect Neurosci 2022; 17:1021-1034. [PMID: 35428885 PMCID: PMC9629468 DOI: 10.1093/scan/nsac026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 03/19/2022] [Accepted: 04/15/2022] [Indexed: 01/12/2023] Open
Abstract
Persons with and without autism process sensory information differently. Differences in sensory processing are directly relevant to social functioning and communicative abilities, which are known to be hampered in persons with autism. We collected functional magnetic resonance imaging data from 25 autistic individuals and 25 neurotypical individuals while they performed a silent gesture recognition task. We exploited brain network topology, a holistic quantification of how networks within the brain are organized to provide new insights into how visual communicative signals are processed in autistic and neurotypical individuals. Performing graph theoretical analysis, we calculated two network properties of the action observation network: 'local efficiency', as a measure of network segregation, and 'global efficiency', as a measure of network integration. We found that persons with autism and neurotypical persons differ in how the action observation network is organized. Persons with autism utilize a more clustered, local-processing-oriented network configuration (i.e. higher local efficiency) rather than the more integrative network organization seen in neurotypicals (i.e. higher global efficiency). These results shed new light on the complex interplay between social and sensory processing in autism.
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Affiliation(s)
- James P Trujillo
- Correspondence should be addressed to James P. Trujillo, Radboud University, Donders Centre for Cognition, Maria Montessori Building, Thomas van Aquinostraat 4, Nijmegen 6525 GD, The Netherlands. E-mail:
| | - Asli Özyürek
- Donders Institute for Brain, Cognition, and Behavior, Donders Centre for Cognition, Nijmegen, GD 6525, The Netherlands,Max Planck Institute for Psycholinguistics, Nijmegen, XD 6525, The Netherlands
| | - Cornelis C Kan
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, Nijmegen, GA 6525, The Netherlands
| | - Irina Sheftel-Simanova
- One Planet Research Centre, Radboud University Medical Centre, Radboudumc, Nijmegen, GA 6525, The Netherlands
| | - Harold Bekkering
- Donders Institute for Brain, Cognition, and Behavior, Donders Centre for Cognition, Nijmegen, GD 6525, The Netherlands
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13
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Lacroix A, Dutheil F, Logemann A, Cserjesi R, Peyrin C, Biro B, Gomot M, Mermillod M. Flexibility in autism during unpredictable shifts of socio-emotional stimuli: Investigation of group and sex differences. AUTISM : THE INTERNATIONAL JOURNAL OF RESEARCH AND PRACTICE 2021; 26:1681-1697. [PMID: 34957880 DOI: 10.1177/13623613211062776] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
LAY ABSTRACT Flexibility difficulties in autism might be particularly common in complex situations, when shifts (i.e. the switch of attentional resources or strategy according to the situation) are unpredictable, implicit (i.e. not guided by explicit rules) and the stimuli are complex. We analyzed the data of 101 autistic and 145 non-autistic adults, without intellectual deficiency, on two flexibility tasks performed online. The first task involved unpredictable and non-explicit shifts of complex socio-emotional stimuli, whereas the second task involved predictable and explicit shifts of character stimuli. Considering the discrepancies between laboratory results and the real-life flexibility-related challenges faced by autistic individuals, we need to determine which factor could be of particular importance in flexibility difficulties. We point out that the switch cost (i.e. the difference between shift and non-shift condition) was larger for autistic than for non-autistic participants on the complex flexibility task with unpredictable and non-explicit shifts of socio-emotional stimuli, whereas this was not the case when shifts were predictable, explicit and involved less complex stimuli. We also highlight sex differences, suggesting that autistic females have better social skills than autistic males and that they also have a specific cognitive profile, which could contribute to social camouflaging. The findings of this work help us understand which factors could influence flexibility difficulties in autism and are important for designing future studies. They also add to the literature on sex differences in autism which underpin better social skills, executive function, and camouflaging in autistic females.
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Affiliation(s)
- Adeline Lacroix
- University of Grenoble Alpes, France.,University of Savoie Mont Blanc, France
| | | | | | | | - Carole Peyrin
- University of Grenoble Alpes, France.,University of Savoie Mont Blanc, France
| | - Brigi Biro
- Eötvös Loránd University (ELTE), Hungary
| | | | - Martial Mermillod
- University of Grenoble Alpes, France.,University of Savoie Mont Blanc, France
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14
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Sapey-Triomphe LA, Temmerman J, Puts NAJ, Wagemans J. Prediction learning in adults with autism and its molecular correlates. Mol Autism 2021; 12:64. [PMID: 34615532 PMCID: PMC8493731 DOI: 10.1186/s13229-021-00470-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 09/23/2021] [Indexed: 12/28/2022] Open
Abstract
Background According to Bayesian hypotheses, individuals with Autism Spectrum Disorder (ASD) have difficulties making accurate predictions about their environment. In particular, the mechanisms by which they assign precision to predictions or sensory inputs would be suboptimal in ASD. These mechanisms are thought to be mostly mediated by glutamate and GABA. Here, we aimed to shed light on prediction learning in ASD and on its neurobiological correlates. Methods Twenty-six neurotypical and 26 autistic adults participated in an associative learning task where they had to learn a probabilistic association between a tone and the rotation direction of two dots, in a volatile context. They also took part in magnetic resonance spectroscopy (MRS) measurements to quantify Glx (glutamate and glutamine), GABA + and glutathione in a low-level perceptual region (occipital cortex) and in a higher-level region involved in prediction learning (inferior frontal gyrus). Results Neurotypical and autistic adults had their percepts biased by their expectations, and this bias was smaller for individuals with a more atypical sensory sensitivity. Both groups were able to learn the association and to update their beliefs after a change in contingency. Interestingly, the percentage of correct predictions was correlated with the Glx/GABA + ratio in the occipital cortex (positive correlation) and in the right inferior frontal gyrus (negative correlation). In this region, MRS results also showed an increased concentration of Glx in the ASD group compared to the neurotypical group. Limitations We used a quite restrictive approach to select the MR spectra showing a good fit, which led to the exclusion of some MRS datasets and therefore to the reduction of the sample size for certain metabolites/regions. Conclusions Autistic adults appeared to have intact abilities to make predictions in this task, in contrast with the Bayesian hypotheses of ASD. Yet, higher ratios of Glx/GABA + in a frontal region were associated with decreased predictive abilities, and ASD individuals tended to have more Glx in this region. This neurobiological difference might contribute to suboptimal predictive mechanisms in ASD in certain contexts. Supplementary Information The online version contains supplementary material available at 10.1186/s13229-021-00470-6.
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Affiliation(s)
- Laurie-Anne Sapey-Triomphe
- Department of Brain and Cognition, Leuven Brain Institute, KU Leuven, 3000, Leuven, Belgium. .,Leuven Autism Research (LAuRes), KU Leuven, 3000, Leuven, Belgium.
| | - Joke Temmerman
- Department of Brain and Cognition, Leuven Brain Institute, KU Leuven, 3000, Leuven, Belgium
| | - Nicolaas A J Puts
- Department of Forensic and Neurodevelopmental Sciences and the Institute of Psychiatry, Psychology, and Neuroscience, Sackler Institute for Translational Neurodevelopment, King's College London, London, SE5 8AF, UK.,MRC Centre for Neurodevelopmental Disorders, King's College London, London, SE5 8AF, UK
| | - Johan Wagemans
- Department of Brain and Cognition, Leuven Brain Institute, KU Leuven, 3000, Leuven, Belgium.,Leuven Autism Research (LAuRes), KU Leuven, 3000, Leuven, Belgium
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15
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Trujillo JP, Özyürek A, Kan CC, Sheftel-Simanova I, Bekkering H. Differences in the production and perception of communicative kinematics in autism. Autism Res 2021; 14:2640-2653. [PMID: 34536063 PMCID: PMC9292179 DOI: 10.1002/aur.2611] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 08/14/2021] [Accepted: 09/01/2021] [Indexed: 11/07/2022]
Abstract
In human communication, social intentions and meaning are often revealed in the way we move. In this study, we investigate the flexibility of human communication in terms of kinematic modulation in a clinical population, namely, autistic individuals. The aim of this study was twofold: to assess (a) whether communicatively relevant kinematic features of gestures differ between autistic and neurotypical individuals, and (b) if autistic individuals use communicative kinematic modulation to support gesture recognition. We tested autistic and neurotypical individuals on a silent gesture production task and a gesture comprehension task. We measured movement during the gesture production task using a Kinect motion tracking device in order to determine if autistic individuals differed from neurotypical individuals in their gesture kinematics. For the gesture comprehension task, we assessed whether autistic individuals used communicatively relevant kinematic cues to support recognition. This was done by using stick-light figures as stimuli and testing for a correlation between the kinematics of these videos and recognition performance. We found that (a) silent gestures produced by autistic and neurotypical individuals differ in communicatively relevant kinematic features, such as the number of meaningful holds between movements, and (b) while autistic individuals are overall unimpaired at recognizing gestures, they processed repetition and complexity, measured as the amount of submovements perceived, differently than neurotypicals do. These findings highlight how subtle aspects of neurotypical behavior can be experienced differently by autistic individuals. They further demonstrate the relationship between movement kinematics and social interaction in high-functioning autistic individuals. LAY SUMMARY: Hand gestures are an important part of how we communicate, and the way that we move when gesturing can influence how easy a gesture is to understand. We studied how autistic and typical individuals produce and recognize hand gestures, and how this relates to movement characteristics. We found that autistic individuals moved differently when gesturing compared to typical individuals. In addition, while autistic individuals were not worse at recognizing gestures, they differed from typical individuals in how they interpreted certain movement characteristics.
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Affiliation(s)
- James P Trujillo
- Donders Centre for Cognition, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, The Netherlands.,Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Asli Özyürek
- Donders Centre for Cognition, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, The Netherlands.,Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
| | - Cornelis C Kan
- Department of Psychiatry, Radboud University Medical Centre, Radboudumc, Nijmegen, The Netherlands
| | - Irina Sheftel-Simanova
- One Planet Research Centre, Radboud University Medical Centre, Radboudumc, Nijmegen, The Netherlands
| | - Harold Bekkering
- Donders Centre for Cognition, Donders Institute for Brain, Cognition, and Behavior, Nijmegen, The Netherlands
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