Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study
Although individuals at clinical high risk (CHR) for psychosis exhibit a psychosis-risk syndrome involving attenuated forms of the positive symptoms typical of schizophrenia (SZ), it remains unclear whether their resting-state brain intrinsic functional networks (INs) show attenuated or qualitativel...
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-01-01
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| Series: | NeuroImage: Clinical |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158217302590 |
| _version_ | 1818031529665757184 |
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| author | Yuhui Du Susanna L. Fryer Dongdong Lin Jing Sui Qingbao Yu Jiayu Chen Barbara Stuart Rachel L. Loewy Vince D. Calhoun Daniel H. Mathalon |
| author_facet | Yuhui Du Susanna L. Fryer Dongdong Lin Jing Sui Qingbao Yu Jiayu Chen Barbara Stuart Rachel L. Loewy Vince D. Calhoun Daniel H. Mathalon |
| author_sort | Yuhui Du |
| collection | DOAJ |
| description | Although individuals at clinical high risk (CHR) for psychosis exhibit a psychosis-risk syndrome involving attenuated forms of the positive symptoms typical of schizophrenia (SZ), it remains unclear whether their resting-state brain intrinsic functional networks (INs) show attenuated or qualitatively distinct patterns of functional dysconnectivity relative to SZ patients. Based on resting-state functional magnetic imaging data from 70 healthy controls (HCs), 53 CHR individuals (among which 41 subjects were antipsychotic medication-naive), and 58 early illness SZ (ESZ) patients (among which 53 patients took antipsychotic medication) within five years of illness onset, we estimated subject-specific INs using a novel group information guided independent component analysis (GIG-ICA) and investigated group differences in INs. We found that when compared to HCs, both CHR and ESZ groups showed significant differences, primarily in default mode, salience, auditory-related, visuospatial, sensory-motor, and parietal INs. Our findings suggest that widespread INs were diversely impacted. More than 25% of voxels in the identified significant discriminative regions (obtained using all 19 possible changing patterns excepting the no-difference pattern) from six of the 15 interrogated INs exhibited monotonically decreasing Z-scores (in INs) from the HC to CHR to ESZ, and the related regions included the left lingual gyrus of two vision-related networks, the right postcentral cortex of the visuospatial network, the left thalamus region of the salience network, the left calcarine region of the fronto-occipital network and fronto-parieto-occipital network. Compared to HCs and CHR individuals, ESZ patients showed both increasing and decreasing connectivity, mainly hypo-connectivity involving 15% of the altered voxels from four INs. The left supplementary motor area from the sensory-motor network and the right inferior occipital gyrus in the vision-related network showed a common abnormality in CHR and ESZ groups. Some brain regions also showed a CHR-unique alteration (primarily the CHR-increasing connectivity). In summary, CHR individuals generally showed intermediate connectivity between HCs and ESZ patients across multiple INs, suggesting that some dysconnectivity patterns evident in ESZ predate psychosis in attenuated form during the psychosis risk stage. Hence, these connectivity measures may serve as possible biomarkers to predict schizophrenia progression. Keywords: Schizophrenia, Psychosis-risk syndrome, Resting-state, Functional magnetic resonance imaging, Brain intrinsic functional networks, Independent component analysis |
| first_indexed | 2024-12-10T05:52:56Z |
| format | Article |
| id | doaj.art-0e65bcecfc8c43b584cc6bad1f2ac277 |
| institution | Directory Open Access Journal |
| issn | 2213-1582 |
| language | English |
| last_indexed | 2024-12-10T05:52:56Z |
| publishDate | 2018-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage: Clinical |
| spelling | doaj.art-0e65bcecfc8c43b584cc6bad1f2ac2772022-12-22T01:59:59ZengElsevierNeuroImage: Clinical2213-15822018-01-0117335346Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA studyYuhui Du0Susanna L. Fryer1Dongdong Lin2Jing Sui3Qingbao Yu4Jiayu Chen5Barbara Stuart6Rachel L. Loewy7Vince D. Calhoun8Daniel H. Mathalon9The Mind Research Network, Albuquerque, NM, USA; Shanxi University, School of Computer & Information Technology, Taiyuan, China; Correspondence to: Y. Du, The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87131, USA.Department of Psychiatry, University of California San Francisco, San Francisco, CA, USA; The Mental Health Service, San Francisco VA Healthcare System, San Francisco, CA, USAThe Mind Research Network, Albuquerque, NM, USAThe Mind Research Network, Albuquerque, NM, USA; Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, ChinaThe Mind Research Network, Albuquerque, NM, USAThe Mind Research Network, Albuquerque, NM, USADepartment of Psychiatry, University of California San Francisco, San Francisco, CA, USADepartment of Psychiatry, University of California San Francisco, San Francisco, CA, USAThe Mind Research Network, Albuquerque, NM, USA; Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USADepartment of Psychiatry, University of California San Francisco, San Francisco, CA, USA; The Mental Health Service, San Francisco VA Healthcare System, San Francisco, CA, USA; Correspondence to: D. H. Mathalon, Mental Health Service 116d, San Francisco VA Medical Center, 4150 Clement Street, San Francisco, CA 94121, USA.Although individuals at clinical high risk (CHR) for psychosis exhibit a psychosis-risk syndrome involving attenuated forms of the positive symptoms typical of schizophrenia (SZ), it remains unclear whether their resting-state brain intrinsic functional networks (INs) show attenuated or qualitatively distinct patterns of functional dysconnectivity relative to SZ patients. Based on resting-state functional magnetic imaging data from 70 healthy controls (HCs), 53 CHR individuals (among which 41 subjects were antipsychotic medication-naive), and 58 early illness SZ (ESZ) patients (among which 53 patients took antipsychotic medication) within five years of illness onset, we estimated subject-specific INs using a novel group information guided independent component analysis (GIG-ICA) and investigated group differences in INs. We found that when compared to HCs, both CHR and ESZ groups showed significant differences, primarily in default mode, salience, auditory-related, visuospatial, sensory-motor, and parietal INs. Our findings suggest that widespread INs were diversely impacted. More than 25% of voxels in the identified significant discriminative regions (obtained using all 19 possible changing patterns excepting the no-difference pattern) from six of the 15 interrogated INs exhibited monotonically decreasing Z-scores (in INs) from the HC to CHR to ESZ, and the related regions included the left lingual gyrus of two vision-related networks, the right postcentral cortex of the visuospatial network, the left thalamus region of the salience network, the left calcarine region of the fronto-occipital network and fronto-parieto-occipital network. Compared to HCs and CHR individuals, ESZ patients showed both increasing and decreasing connectivity, mainly hypo-connectivity involving 15% of the altered voxels from four INs. The left supplementary motor area from the sensory-motor network and the right inferior occipital gyrus in the vision-related network showed a common abnormality in CHR and ESZ groups. Some brain regions also showed a CHR-unique alteration (primarily the CHR-increasing connectivity). In summary, CHR individuals generally showed intermediate connectivity between HCs and ESZ patients across multiple INs, suggesting that some dysconnectivity patterns evident in ESZ predate psychosis in attenuated form during the psychosis risk stage. Hence, these connectivity measures may serve as possible biomarkers to predict schizophrenia progression. Keywords: Schizophrenia, Psychosis-risk syndrome, Resting-state, Functional magnetic resonance imaging, Brain intrinsic functional networks, Independent component analysishttp://www.sciencedirect.com/science/article/pii/S2213158217302590 |
| spellingShingle | Yuhui Du Susanna L. Fryer Dongdong Lin Jing Sui Qingbao Yu Jiayu Chen Barbara Stuart Rachel L. Loewy Vince D. Calhoun Daniel H. Mathalon Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study NeuroImage: Clinical |
| title | Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study |
| title_full | Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study |
| title_fullStr | Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study |
| title_full_unstemmed | Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study |
| title_short | Identifying functional network changing patterns in individuals at clinical high-risk for psychosis and patients with early illness schizophrenia: A group ICA study |
| title_sort | identifying functional network changing patterns in individuals at clinical high risk for psychosis and patients with early illness schizophrenia a group ica study |
| url | http://www.sciencedirect.com/science/article/pii/S2213158217302590 |
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