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Updated: Feb 22, 2026

Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
Disrupted structural and functional connectivity networks in ischemic stroke patients.
Jingna Zhang1, Ye Zhang1, Li Wang1
1Department of Medical Imaging, College of Biomedical Engineering, Third Military Medical University, 30 Gaotanyan Road, Chongqing 40038, China.
Stroke disrupts brain network organization, altering structural and functional connectivity. This study reveals decreased coupling between these networks, offering a potential biomarker for assessing motor impairment after stroke.
Area of Science:
- Neuroscience
- Systems Neuroscience
- Medical Imaging
Background:
- Stroke-induced brain lesions cause significant structural and functional reorganization.
- Prior research focused on specific brain networks, leaving whole-brain alterations under-explored.
Purpose of the Study:
- To identify whole-brain network abnormalities post-stroke.
- To investigate the decoupling between structural and functional connectivity.
- To explore potential biomarkers for motor impairment.
Main Methods:
- Graph theoretical analysis applied to structural and functional brain networks.
- Comparison of network topological properties between 15 ischemic stroke patients and 23 normal controls.
- Correlation analysis between network characteristics and clinical assessments (Fugl-Meyer Assessment, immediate recall).
Main Results:
- Stroke patients exhibited altered global network properties (higher characteristic path length, lower global efficiency) compared to controls.
- Abnormal nodal characteristics were observed in motor and cognition-related regions.
- Decreased structural-functional connectivity coupling was found, correlating with motor impairment (FMA score).
Conclusions:
- Brain network topology is significantly altered following stroke.
- Decoupling between structural and functional connectivity may serve as a novel biomarker for motor deficits.
- Findings offer network-level insights into brain reorganization after stroke.
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