Dynamic Reorganization of Functional Connectivity Reveals Abnormal Temporal Efficiency in Schizophrenia.

Emerging evidence suggests that schizophrenia is associated with brain dysconnectivity. Nonetheless, the implicit assumption of stationary functional connectivity (FC) adopted in most previous resting-state functional magnetic resonance imaging (fMRI) studies raises an open question of schizophrenia...

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Publicado en:Schizophrenia Bulletin Vol. 45; no. 3; pp. 659 - 670
Autores principales: Sun, Yu, Collinson, Simon L, Suckling, John, Sim, Kang
Formato: pictorial research tables/charts Journal Article
Publicado: Oxford University Press / USA May2019
Acceso en línea:Ver este registro en EBSCOhost
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      dt: May2019
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      pub: Oxford University Press / USA
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        atl: Dynamic Reorganization of Functional Connectivity Reveals Abnormal Temporal Efficiency in Schizophrenia.
      aug:
        au:
          Sun, Yu
          Collinson, Simon L
          Suckling, John
          Sim, Kang
        affil: Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Zhejiang, China Centre for Life Sciences, National University of Singapore, Singapore
      sug:
        subj:
          Schizophrenia Symptoms
          Temporal Lobe Physiopathology
          Brain Mapping Methods
          Human
          Magnetic Resonance Imaging
          Relaxation
          Neural Pathways Analysis
          Imaging, Three-Dimensional
          Psychiatric Patients
          Functional Status
          Schizophrenia Physiopathology
      ab: Emerging evidence suggests that schizophrenia is associated with brain dysconnectivity. Nonetheless, the implicit assumption of stationary functional connectivity (FC) adopted in most previous resting-state functional magnetic resonance imaging (fMRI) studies raises an open question of schizophrenia-related aberrations in dynamic properties of resting-state FC. This study introduces an empirical method to examine the dynamic functional dysconnectivity in patients with schizophrenia. Temporal brain networks were estimated from resting-state fMRI of 2 independent datasets (patients/controls = 18/19 and 53/57 for self-recorded dataset and a publicly available replication dataset, respectively) by the correlation of sliding time–windowed time courses among regions of a predefined atlas. Through the newly introduced temporal efficiency approach and temporal random network models, we examined, for the first time, the 3D spatiotemporal architecture of the temporal brain network. We found that although prominent temporal small-world properties were revealed in both groups, temporal brain networks of patients with schizophrenia in both datasets showed a significantly higher temporal global efficiency, which cannot be simply attributable to head motion and sampling error. Specifically, we found localized changes of temporal nodal properties in the left frontal, right medial parietal, and subcortical areas that were associated with clinical features of schizophrenia. Our findings demonstrate that altered dynamic FC may underlie abnormal brain function and clinical symptoms observed in schizophrenia. Moreover, we provide new evidence to extend the dysconnectivity hypothesis in schizophrenia from static to dynamic brain network and highlight the potential of aberrant brain dynamic FC in unraveling the pathophysiologic mechanisms of the disease.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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