ArticleFrontiers in human neuroscience2022
Cognitive theories of autism based on the interactions between brain functional networks.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Expression of the Human R163C-International journal of molecular sciences · 2026Article
- Multi-agent game theory for precision psychiatry.Frontiers in psychiatry · 2026Article
- Innovative biomarker exploration in ASD: Combining Graph Neural Networks and permutation testing on fMRI data.Neuroimage. Reports · 2025Article
- Developmental functional brain network abnormalities in autism spectrum disorder comorbid with attention deficit hyperactivity disorder.European journal of pediatrics · 2025Article
- How the intrinsic functional connectivity patterns of the semantic network support semantic processing.Brain imaging and behavior · 2024Article
- Relationship between Overweight/Obesity and Social Communication in Autism Spectrum Disorder Children: Mediating Effect of Gray Matter Volume.Brain sciences · 2023Article
- Gene×environment interactions in autism spectrum disorders.Current topics in developmental biology · 2023Review
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4 authors.
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Abstract
Cognitive functions are directly related to interactions between the brain's functional networks. This functional organization changes in the autism spectrum disorder (ASD). However, the heterogeneous nature of autism brings inconsistency in the findings, and specific pattern of changes based on the cognitive theories of ASD still requires to be well-understood. In this study, we hypothesized that the theory of mind (ToM), and the weak central coherence theory must follow an alteration pattern in the network level of functional interactions. The main aim is to understand this pattern by evaluating interactions between all the brain functional networks. Moreover, the association between the significantly altered interactions and cognitive dysfunctions in autism is also investigated. We used resting-state fMRI data of 106 subjects (5-14 years, 46 ASD: five female, 60 HC: 18 female) to define the brain functional networks. Functional networks were calculated by applying four parcellation masks and their interactions were estimated using Pearson's correlation between pairs of them. Subsequently, for each mask, a graph was formed based on the connectome of interactions. Then, the local and global parameters of the graph were calculated. Finally, statistical analysis was performed using a two-sample
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