ArticleBrain and behavior2017
Cortical interactions during the resolution of information processing demands in autism spectrum disorders.
Article in Brain and behavior, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Comparative meta-analyses of brain structural and functional abnormalities during cognitive control in attention-deficit/hyperactivity disorder and autism spectrum disorder.Psychological medicine · 2020Pooled it
- Neurobiology of cognitive abilities in early childhood autism.JCPP advances · 2024Article
- The importance of low IQ to early diagnosis of autism.Autism research : official journal of the International Society for Autism Research · 2023Article
- Using tissue microstructure and multimodal MRI to parse the phenotypic heterogeneity and cellular basis of autism spectrum disorder.Journal of child psychology and psychiatry, and allied disciplines · 2022Article
- Genetic vulnerability of exposures to antenatal maternal treatments in 1- to 2-month-old infants.Infancy : the official journal of the International Society on Infant Studies · 2021Article
- Article
- Hyperperfusion of Frontal White and Subcortical Gray Matter in Autism Spectrum Disorder.Biological psychiatry · 2019Article
- Reduced structural complexity of the right cerebellar cortex in male children with autism spectrum disorder.PloS one · 2018Article
- Inflexible neurobiological signatures precede atypical development in infants at high risk for autism.Scientific reports · 2017Article
- Cortical interactions during the resolution of information processing demands in autism spectrum disorders.Brain and behavior · 2017Article
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Authors and funding
6 authors.
Funding
Abstract
introductionOur flexible and adaptive interactions with the environment are guided by our individual representation of the physical world, estimated through sensation and evaluation of available information against prior knowledge. When linking sensory evidence with higher-level expectations for action, the central nervous system (CNS) in typically developing (TD) individuals relies in part on distributed and interacting cortical regions to communicate neuronal signals flexibly across the brain. Increasing evidence suggests that the balance between levels of signal and noise during information processing may be disrupted in individuals with Autism Spectrum Disorders (ASD).
methodsParticipants with and without ASD performed a visuospatial interference task while undergoing functional Magnetic Resonance Imaging (fMRI). We empirically estimated parameters characterizing participants' latencies and their subtle fluctuations (noise accumulation) over the 16-min scan. We modeled hemodynamic activation and used seed-based analyses of neural coupling to study dysfunction in interference-specific connectivity in a subset of ASD participants who were nonparametrically matched to TD participants on age, male-to-female ratio, and magnitude of movement during the scan.
resultsStochastic patterns of response fluctuations reveal significantly higher noise-to-signal levels and a more random and noisy structure in ASD versus TD participants, and in particular ASD adults who have the greatest clinical autistic deficits. While individuals with ASD show an overall weaker modulation of interference-specific functional connectivity relative to TD individuals, in particular between the seeds of Anterior Cingulate Cortex (ACC) and Inferior Parietal Sulcus (IPS) and the rest of the brain, we found that in ASD, higher uncertainty during the task is linked to increased interference-specific coupling between bilateral anterior insula and prefrontal cortex.
conclusionsSubtle and informative differences in the structure of experiencing information exist between ASD and TD individuals. Our findings reveal in ASD an atypical capacity to apply previously perceived information in a manner optimal for adaptive functioning, plausibly revealing suboptimal message-passing across the CNS.
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