Identifying Neurophysiological Subtypes in Clinical High Risk for Psychosis Using Functional Connectome Profiling.

Authors

Guoliang Hou, Jiayu Feng, Yulin Wang, Debo Dong

Published in

Schizophrenia bulletin. Volume 52. Issue 6. Oct 27, 2026.

Abstract

The clinical high-risk (CHR) state already harbors substantial heterogeneity. Delineating homogeneous subgroups at this stage is critical for elucidating disease mechanisms and advancing precision psychiatry. However, the neurobiological heterogeneity among individuals at CHR and its clinical relevance remain poorly understood. Study Design: We applied Heterogeneity Through Discriminative Analysis to resting-state functional connectome profiling to identify potential neurophysiological subtypes within a large multicenter CHR dataset (N = 838) compared to healthy controls (HC) (N = 244).
The results revealed 2 distinct neurophysiological subtypes within the CHR population. Subtype 1 exhibited widespread reductions in overall functional connectivity-particularly within the sensorimotor network and the salience network-whereas Subtype 2 showed widespread increases within these networks. Compared with HC and Subtype 1, Subtype 2 showed poorer performance in sustained attention and verbal learning/memory. However, Subtype 1 did not differ significantly from HC in these domains.
These findings provide robust evidence for neurophysiological subtypes among individuals at CHR and further suggest that patterns of aberrant brain network organization have already diverged during the CHR stage, accompanied by dissociable cognitive profiles.

PMID:
42960985
Bibliographic data and abstract were imported from PubMed on 30 Oct 2026.

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