Evidence map›Paper›PMID 40165149›Full record

ArticleBMC psychiatry2025

Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk.

Yangpan Ou, Zhaobin Chen, Ying Wang, Huabing Li, Feng Liu, Ping Li, Dongsheng Lv, Yong Liu, Bing Lang, Jingping Zhao and 1 more

Abstract read
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In one paragraph

Article in BMC psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Yangpan Ou *Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Zhaobin Chen *Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Ying WangDepartment of Mental Health Center of Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China. wangying@csu.edu.cn.
Huabing LiDepartment of Radiology, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Feng LiuDepartment of Radiology, Tianjin Medical University General Hospital, Tianjin, 300000, China.
Ping LiDepartment of Psychiatry, Qiqihar Medical University, Qiqihar, 161006, Heilongjiang, China.
Dongsheng LvCenter of Mental Health, Inner Mongolia Autonomous Region, Hohhot, 010010, China.
Yong LiuDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Bing LangDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Jingping ZhaoDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China.
Wenbin GuoDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South University, Changsha, 410011, Hunan, China. guowenbin76@csu.edu.cn.

Funding

National Natural Science Foundation of China 82171508Natural Science Foundation of Hunan Province 2023JJ30758Natural Science Foundation of Tianjin Municipality 18JCQNJC10900
6 · The paper itself

Abstract

backgroundClinical high-risk (CHR) refers to prodromal phase before schizophrenia onset, characterized by attenuated psychotic symptoms and functional decline. They exhibit similar but milder cognitive impairments, brain abnormalities and eye movement change compared with first-episode schizophrenia (FSZ). These alterations may increase vulnerability to transitioning to the disease. This study explores cognitive-related functional connectivity (FC) and eye movement abnormalities to examine differences in the progression of schizophrenia.

methodsThirty drug-naive FSZ, 28 CHR, and 30 healthy controls (HCs) were recruited to undergo resting-state functional magnetic resonance imaging (rs-fMRI). Connectome-based predictive modeling (CPM) was employed to extract cognitive-related brain regions, which were then selected as seeds to form FC networks. Support vector machine (SVM) was used to distinguish FSZ from CHR. Smooth pursuit eye-tracking tasks were conducted to assess eye movement features.

resultsFSZ displayed decreased cognitive-related FC between right posterior cingulate cortex and right superior frontal gyrus compared with HCs and between right amygdala and left inferior parietal gyrus (IPG) compared with CHR. SVM analysis indicated a combination of BACS-SC and CFT-A scores, and FC between right amygdala and left IPG could serve as a potential biomarker for distinguishing FSZ from CHR with high sensitivity. FSZ also exhibited a wide range of eye movement abnormalities compared with HCs, which were associated with alterations in cognitive-related FC.

conclusionsFSZ and CHR exhibited different patterns of cognitive-related FC and eye movement alteration. Our findings illustrate potential neuroimaging and cognitive markers for early identification of psychosis that could help in the intervention of schizophrenia in high-risk groups.

Indexed as

BrainCognitive DysfunctionConnectomeProdromal SymptomsSchizophreniaAdultAmygdalaCase-Control StudiesFemaleHumansMagnetic Resonance ImagingMaleSupport Vector MachineYoung AdultClinical high-riskCognitive functionConnectome-based predictive modeling (CPM)Eye movementSchizophrenia

Identifiers

PMID40165149
PMCPMC11959997

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.