Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk
Abstract Background Clinical 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 sch...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
|
| Series: | BMC Psychiatry |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12888-025-06747-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849734606717190144 |
|---|---|
| author | Yangpan Ou Zhaobin Chen Ying Wang Huabing Li Feng Liu Ping Li Dongsheng Lv Yong Liu Bing Lang Jingping Zhao Wenbin Guo |
| author_facet | Yangpan Ou Zhaobin Chen Ying Wang Huabing Li Feng Liu Ping Li Dongsheng Lv Yong Liu Bing Lang Jingping Zhao Wenbin Guo |
| author_sort | Yangpan Ou |
| collection | DOAJ |
| description | Abstract Background Clinical 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. Methods Thirty 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. Results FSZ 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. Conclusions FSZ 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. |
| format | Article |
| id | doaj-art-c2fa63ce3ca84fe2a5b32f64c7a19a6f |
| institution | DOAJ |
| issn | 1471-244X |
| language | English |
| publishDate | 2025-03-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Psychiatry |
| spelling | doaj-art-c2fa63ce3ca84fe2a5b32f64c7a19a6f2025-08-20T03:07:44ZengBMCBMC Psychiatry1471-244X2025-03-0125111310.1186/s12888-025-06747-xAbnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-riskYangpan Ou0Zhaobin Chen1Ying Wang2Huabing Li3Feng Liu4Ping Li5Dongsheng Lv6Yong Liu7Bing Lang8Jingping Zhao9Wenbin Guo10Department of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South UniversityDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South UniversityDepartment of Mental Health Center of Xiangya Hospital, Central South UniversityDepartment of Radiology, The Second Xiangya Hospital of Central South UniversityDepartment of Radiology, Tianjin Medical University General HospitalDepartment of Psychiatry, Qiqihar Medical UniversityCenter of Mental Health, Inner Mongolia Autonomous RegionDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South UniversityDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South UniversityDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South UniversityDepartment of Psychiatry, National Clinical Research Center for Mental Disorders, and National Center for Mental Disorders, The Second Xiangya Hospital of Central South UniversityAbstract Background Clinical 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. Methods Thirty 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. Results FSZ 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. Conclusions FSZ 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.https://doi.org/10.1186/s12888-025-06747-xCognitive functionClinical high-riskSchizophreniaEye movementConnectome-based predictive modeling (CPM) |
| spellingShingle | Yangpan Ou Zhaobin Chen Ying Wang Huabing Li Feng Liu Ping Li Dongsheng Lv Yong Liu Bing Lang Jingping Zhao Wenbin Guo Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk BMC Psychiatry Cognitive function Clinical high-risk Schizophrenia Eye movement Connectome-based predictive modeling (CPM) |
| title | Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk |
| title_full | Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk |
| title_fullStr | Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk |
| title_full_unstemmed | Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk |
| title_short | Abnormalities in cognitive-related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high-risk |
| title_sort | abnormalities in cognitive related functional connectivity can be used to identify patients with schizophrenia and individuals in clinical high risk |
| topic | Cognitive function Clinical high-risk Schizophrenia Eye movement Connectome-based predictive modeling (CPM) |
| url | https://doi.org/10.1186/s12888-025-06747-x |
| work_keys_str_mv | AT yangpanou abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT zhaobinchen abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT yingwang abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT huabingli abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT fengliu abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT pingli abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT dongshenglv abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT yongliu abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT binglang abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT jingpingzhao abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk AT wenbinguo abnormalitiesincognitiverelatedfunctionalconnectivitycanbeusedtoidentifypatientswithschizophreniaandindividualsinclinicalhighrisk |