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December 8, 2025CNS Neuroscience & TherapeuticsOpen Access

Subtyping Autism Spectrum Disorder With a Population Graph‐Based Dual Autoencoder: Revealing Two Distinct Biotypes

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Authors

XLXinwei LiGGGuohong GengJHJun Hu

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Overview

Research identifies two distinct biotypes in autism spectrum disorder, highlighting differences in neurobiology and connectivity patterns.

Key Points

  • Two distinct biotypes were identified in autism spectrum disorder, showing different connectivity patterns.
  • ASD1 had lower clinical scores with weakened intra- and internetwork connectivity, particularly linked to communication.
  • Analysis utilized resting-state fMRI and clinical data to explore the relationship between brain networks and symptom scores.
  • The findings emphasize the importance of understanding biotype-specific brain network patterns in autism research.

Cite This Study

Li et al. (2025) studied this question.

synapsesocial.com/papers/693624a44fa91c937236c2edhttps://doi.org/10.1002/cns.70675
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Three autism subtypes based on single‐subject gray matter network revealed by semi‐supervised machine learning2024 · 6 citations
  2. 2Identification and Multidimensional Characterization of Two Distinct Autism Spectrum Disorder Subtypes2025
  3. 3Identification and multidimensional characterization of two distinct autism spectrum disorder subtypes2026
  4. 4Three Subtypes Of Autism Spectrum Disorder With Transcriptomic Signatures Derived From Morphometric Similarity Networks2024 · 1 citations
  5. 5Morphometric dissimilarity in association cortices linked to autism subtype with more severe symptoms2026