Stage-dependent patterns of cognitive network connectivity in early psychosis

Cognitive impairments in early psychosis are common, yet prior studies have focused mainly on domain-specific deficits rather than inter-domain relationships. Analyzing cognitive network connectivity may uncover insights into early psychosis mechanisms. Cognitive functions were assessed from 2,518 participants, including 988 first-episode schizophrenia (FES), 767 clinical high-risk (CHR), and 763 healthy controls (HC), using the Chinese version of the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB). Results revealed a stage-dependent "dedifferentiation" pattern: mean inter-domain correlation increased from HC (0.28) to CHR (0.33) to FES (0.40). Confirmatory factor analysis revealed a common "g" factor across groups, with significantly reduced strength in FES compared to CHR and HC. The reduction in the "g" factor was associated with increased connectivity and stronger inter-domain correlations. These findings highlight cognitive network dedifferentiation and "g" factor decline as key features of early psychosis.

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Publication Details

Journal
Nature Communications
Published
2025-11-27
DOI
https://doi.org/10.1038/s41467-025-66894-3
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Stage-dependent patterns of cognitive network connectivity in early psychosis

HaiChun Liu, MingLiang Ju, Jijun Wang, Jiaoyan Pang et al.
Nature Communications
Functional Brain Connectivity Studies
article

Stage-dependent patterns of cognitive network connectivity in early psychosis

HaiChun Liu, MingLiang Ju, Jijun Wang, Jiaoyan Pang, Zhenghui Yi, HuiRu Cui, Qiang Hu, XiaoChen Tang, Lihua Xu, Chunbo Li, Tianhong Zhang, Yingying Tang, YanYan Wei, Lingyun Zeng
article en

Abstract

Cognitive impairments in early psychosis are common, yet prior studies have focused mainly on domain-specific deficits rather than inter-domain relationships. Analyzing cognitive network connectivity may uncover insights into early psychosis mechanisms. Cognitive functions were assessed from 2,518 participants, including 988 first-episode schizophrenia (FES), 767 clinical high-risk (CHR), and 763 healthy controls (HC), using the Chinese version of the Measurement and Treatment Research to Improve Cognition in Schizophrenia Consensus Cognitive Battery (MCCB). Results revealed a stage-dependent "dedifferentiation" pattern: mean inter-domain correlation increased from HC (0.28) to CHR (0.33) to FES (0.40). Confirmatory factor analysis revealed a common "g" factor across groups, with significantly reduced strength in FES compared to CHR and HC. The reduction in the "g" factor was associated with increased connectivity and stronger inter-domain correlations. These findings highlight cognitive network dedifferentiation and "g" factor decline as key features of early psychosis.

Nature CommunicationsVol. 16(1)
Shanghai University of Political Science and Law (CN), Shanghai Jiao Tong University (CN), Nantong University (CN), Shanghai Normal University (CN), Shanghai Mental Health Center (CN), Affiliated Hospital of Nantong University (CN), Second People's Hospital of NanTong (CN), Shenzhen KangNing Hospital (CN), Jinzhou Kangning Hospital (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 63%
Functional Brain Connectivity Studies
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