Work

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

Year: 2026

Type: article

Abstract: BACKGROUND AND HYPOTHESIS: 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). STUDY RESULTS: 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. CONCLUSIONS: 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.

Source: Schizophrenia Bulletin

DOI: 10.1093/schbul/sbag134

Authors: Guoliang Hou, Jiayu Feng, Yulin Wang, Debo Dong

Institutions: Southwest University, Forschungszentrum Jülich

Language: English

Topic: Functional Brain Connectivity Studies

Subfield: Cognitive Neuroscience

Field: Neuroscience

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: green

Funders: National Natural Science Foundation of China, Natural Science Foundation of Chongqing