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Related Experiment Video

Updated: Jun 30, 2026

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Broader autism phenotype, the default mode network, and brain entropy: A network-level hypothesis.

Souvik Dubey¹, Sujit Sarkhel², Samya Sengupta¹

¹Department of Neurology, Bangur Institute of Neurosciences, IPGMER & SSKM Hospital, Kolkata, India.

Research in Neurodiversity

|June 29, 2026

Summary

The broader autism phenotype (BAP) involves autism-related traits in relatives. This study proposes a network-level brain model linking atypical default mode network (DMN) organization and brain entropy to BAP heterogeneity.

Keywords:

Autism Autism spectrum disorder Brain entropy Broader autism phenotype Default mode network Endophenotype Executive dysfunction Functional connectivity Sensory integration Social cognition Triple-network model

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Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism

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Published on: October 17, 2025

Area of Science:

Neuroscience
Genetics
Psychology

Background:

Autism spectrum disorder (ASD) is highly heritable, with traits extending into the broader autism phenotype (BAP).
Existing research on BAP in relatives shows inconsistent findings, highlighting the need for a refined conceptualization.
BAP is reframed as a probabilistic marker of shared genetic liability rather than a fixed familial pattern.

Purpose of the Study:

To propose a network-level model integrating behavioral, cognitive, genetic, and neuroimaging data for BAP.
To explore the role of default mode network (DMN) organization and its connectivity with other brain networks in BAP.
To investigate brain entropy as a potential neural marker for BAP-related behavioral heterogeneity.

Main Methods:

Integration of multimodal evidence: behavioral, cognitive, genetic, and neuroimaging data.
Development of a network-level model focusing on DMN organization and its coupling with salience and central executive networks.
Operationalization of brain entropy metrics (e.g., sample entropy, multiscale entropy) to quantify neural signal complexity.

Main Results:

A proposed model suggests atypical DMN organization and altered network coupling may underlie BAP traits.
Brain entropy is identified as a potential bridge between neural dynamics and the diverse behavioral manifestations of BAP.
Limited direct evidence currently exists for brain entropy in BAP, indicating a need for further research.

Conclusions:

The proposed network-level model offers a framework for understanding BAP heterogeneity.
Brain entropy metrics present a promising avenue for future research into the neural underpinnings of BAP.
Multimodal, developmentally informed studies are crucial for advancing our understanding of BAP and its genetic and neural bases.