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Updated: Feb 27, 2026

Dynamic Clamp Methods to Investigate Impaired Neuronal Excitability Associated with Autism
Published on: October 17, 2025
Disruption to control network function correlates with altered dynamic connectivity in the wider autism spectrum
N de Lacy1, D Doherty2, B H King3
1Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA 98195, USA; Seattle Children's Research Institute, Center for Integrative Brain Research, Seattle, WA 98105, USA.
This study reveals altered brain connectivity in autism, focusing on network interactions rather than individual brain regions. Findings suggest disrupted communication patterns may underlie diverse autism symptoms and offer potential neuroimaging biomarkers.
Area of Science:
- Neuroscience
- Developmental Neuroscience
- Systems Neuroscience
Background:
- Autism Spectrum Disorder (ASD) is a common neurodevelopmental condition characterized by significant heterogeneity in clinical presentation and co-occurring neuropsychiatric symptoms.
- Existing research often examines brain organization in isolation, potentially missing complex network dynamics relevant to ASD's diverse manifestations.
Purpose of the Study:
- To investigate whole-brain functional organization at multiple levels simultaneously in a large, diverse group of individuals with autism.
- To perform the first network-based analysis of transient brain states, or dynamic connectivity, in autism.
Main Methods:
- Utilized a large subject group reflecting the clinical diversity of autism.
- Employed network-based analysis to examine dynamic connectivity and transient brain states.
- Analyzed functional organization across multiple levels of the whole brain.
Main Results:
- Disruptions in inter-network and inter-system connectivity were more prominent than within-network alterations.
- Identified disrupted coupling along the anterior-posterior default mode network axis.
- Found specific disruptions between control networks (right fronto-parietal, cingulo-opercular) and default mode network subsystems, impacting task initiation and maintenance.
- Observed dampened oscillations between brain states and altered dynamic connectivity configurations in individuals with autism.
Conclusions:
- The findings highlight the importance of disrupted network interactions in autism, rather than isolated regional deficits.
- Specific connectivity motifs, particularly involving the default mode and control networks, may serve as candidate neuroimaging biomarkers for heterogeneous autism populations.
- This network-centric approach provides a novel framework for understanding the neurobiological underpinnings of autism spectrum disorder.
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