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Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Aberrant intra-salience network dynamic functional connectivity impairs large-scale network interactions in
Xiangpeng Wang1, Wenwen Zhang1, Yujing Sun1
1Key Laboratory of Cognition and Personality of Ministry of Education, Faculty of Psychology, Southwest University, Chongqing 400715, China.
Schizophrenia disrupts brain network stability, particularly within the salience network (SN). This instability in SN connectivity contributes to altered interactions between large-scale brain networks, potentially serving as a disease biomarker.
Area of Science:
- Neuroscience
- Psychiatry
- Medical Imaging
Background:
- Aberrant functional interactions among large-scale brain networks, including the central executive network (CEN), default mode network (DMN), and salience network (SN), are implicated in schizophrenia.
- The specific factors contributing to these network dysfunctions in schizophrenia remain unclear.
Purpose of the Study:
- To investigate the dynamic functional connectivity (DFC) and functional connectivity (FC) patterns of the CEN, DMN, and SN in individuals with schizophrenia.
- To explore the role of the SN in modulating interactions between these large-scale networks using structural equation modeling (SEM).
Main Methods:
- Resting-state functional magnetic resonance imaging (fMRI) data from 42 patients with schizophrenia and 35 healthy controls.
- Analysis of inter-network and intra-network connectivity using both static FC and dynamic DFC approaches.
- SEM analysis to examine the mediating role of SN connectivity in schizophrenia.
Main Results:
- Individuals with schizophrenia exhibited decreased inter-network connectivity strength and increased time-varying instability.
- The SN showed intra-network functional connectivity and dynamic functional connectivity deficits in schizophrenia patients.
- SN connectivity patterns effectively differentiated patients from controls.
- In patients, dynamic intra-SN connectivity negatively predicted inter-network FC, mediated by intra-SN connectivity strength.
Conclusions:
- Schizophrenia is characterized by systematic deficits in the temporal stability of large-scale brain network connectivity.
- Instability within the SN contributes to aberrant network interactions observed in schizophrenia.
- Dysfunction of the SN may represent an intrinsic biomarker for schizophrenia.
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