Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state
Neuroimaging studies have shown that functional brain networks composed from select regions of interest (ROIs) have a modular community structure. However, the organization of functional network connectivity (FNC), comprising a purely data-driven network built from spatially independent brain compon...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2012-01-01
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| Series: | Frontiers in Systems Neuroscience |
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| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnsys.2011.00103/full |
| _version_ | 1818267012009295872 |
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| author | Qingbao eYu Sergey M Plis Erik B Erhardt Elena A Allen Jing eSui Kent A Kiehl Kent A Kiehl Godfrey ePearlson Godfrey ePearlson Vince D Calhoun Vince D Calhoun Vince D Calhoun |
| author_facet | Qingbao eYu Sergey M Plis Erik B Erhardt Elena A Allen Jing eSui Kent A Kiehl Kent A Kiehl Godfrey ePearlson Godfrey ePearlson Vince D Calhoun Vince D Calhoun Vince D Calhoun |
| author_sort | Qingbao eYu |
| collection | DOAJ |
| description | Neuroimaging studies have shown that functional brain networks composed from select regions of interest (ROIs) have a modular community structure. However, the organization of functional network connectivity (FNC), comprising a purely data-driven network built from spatially independent brain components, is not yet clear. The aim of this study is to explore the modular organization of FNC in both healthy controls (HCs) and patients with schizophrenia (SZs). Resting state functional magnetic resonance imaging (R-fMRI) data of HCs and SZs were decomposed into independent components (ICs) by group independent component analysis (ICA). Then weighted brain networks (in which nodes are brain components) were built based on correlations among of ICA time courses. Clustering coefficients and connectivity strength of the networks were computed. A dynamic branch cutting algorithm was used to identify modules of the FNC in HCs and SZs. Results show stronger connectivity strength and higher clustering coefficient in HCs with more and smaller modules in SZs. In addition, HCs and SZs had some different hubs. Our findings demonstrate altered modular architecture of the FNC in schizophrenia and provide insights into abnormal topological organization of intrinsic brain networks in this mental illness. |
| first_indexed | 2024-12-12T20:15:49Z |
| format | Article |
| id | doaj.art-1e4f135c1f3e4ad5aec49832626f5341 |
| institution | Directory Open Access Journal |
| issn | 1662-5137 |
| language | English |
| last_indexed | 2024-12-12T20:15:49Z |
| publishDate | 2012-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Systems Neuroscience |
| spelling | doaj.art-1e4f135c1f3e4ad5aec49832626f53412022-12-22T00:13:23ZengFrontiers Media S.A.Frontiers in Systems Neuroscience1662-51372012-01-01510.3389/fnsys.2011.0010318383Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting stateQingbao eYu0Sergey M Plis1Erik B Erhardt2Elena A Allen3Jing eSui4Kent A Kiehl5Kent A Kiehl6Godfrey ePearlson7Godfrey ePearlson8Vince D Calhoun9Vince D Calhoun10Vince D Calhoun11The Mind Research NetworkThe Mind Research NetworkThe Mind Research NetworkThe Mind Research NetworkThe Mind Research NetworkThe Mind Research NetworkUniversity of New MexicoYale UniversityOlin Neuropsychiatry Research CenterThe Mind Research NetworkUniversity of New MexicoYale UniversityNeuroimaging studies have shown that functional brain networks composed from select regions of interest (ROIs) have a modular community structure. However, the organization of functional network connectivity (FNC), comprising a purely data-driven network built from spatially independent brain components, is not yet clear. The aim of this study is to explore the modular organization of FNC in both healthy controls (HCs) and patients with schizophrenia (SZs). Resting state functional magnetic resonance imaging (R-fMRI) data of HCs and SZs were decomposed into independent components (ICs) by group independent component analysis (ICA). Then weighted brain networks (in which nodes are brain components) were built based on correlations among of ICA time courses. Clustering coefficients and connectivity strength of the networks were computed. A dynamic branch cutting algorithm was used to identify modules of the FNC in HCs and SZs. Results show stronger connectivity strength and higher clustering coefficient in HCs with more and smaller modules in SZs. In addition, HCs and SZs had some different hubs. Our findings demonstrate altered modular architecture of the FNC in schizophrenia and provide insights into abnormal topological organization of intrinsic brain networks in this mental illness.http://journal.frontiersin.org/Journal/10.3389/fnsys.2011.00103/fullSchizophreniaICAmodularityfunctional network connectivityR-fMRI |
| spellingShingle | Qingbao eYu Sergey M Plis Erik B Erhardt Elena A Allen Jing eSui Kent A Kiehl Kent A Kiehl Godfrey ePearlson Godfrey ePearlson Vince D Calhoun Vince D Calhoun Vince D Calhoun Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state Frontiers in Systems Neuroscience Schizophrenia ICA modularity functional network connectivity R-fMRI |
| title | Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state |
| title_full | Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state |
| title_fullStr | Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state |
| title_full_unstemmed | Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state |
| title_short | Modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state |
| title_sort | modular organization of functional network connectivity in healthy controls and patients with schizophrenia during the resting state |
| topic | Schizophrenia ICA modularity functional network connectivity R-fMRI |
| url | http://journal.frontiersin.org/Journal/10.3389/fnsys.2011.00103/full |
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