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Utilizing Repetitive Transcranial Magnetic Stimulation to Improve Language Function in Stroke Patients with Chronic Non-fluent Aphasia
Published on: July 2, 2013
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Disrupted brain network topology and structural-functional decoupling in chronic post-stroke aphasia
Guihua Xu1, Yongsheng Wu1, Rui Zhu1
1Department of Radiology, Qilu Hospital of Shandong University, Qilu Medical Imaging Institute of Shandong University, Jinan,China.
Brain Research Bulletin
|December 18, 2025
Summary
Post-stroke aphasia (PSA) involves disrupted brain network organization. This study found reduced structural-functional (S-F) coupling, particularly in the frontoparietal network (FPN), which may predict language recovery.
Area of Science:
- Neuroscience
- Neurology
- Medical Imaging
Background:
- Language impairments in post-stroke aphasia (PSA) are linked to brain network reorganization.
- Previous research focused on single network parameters, neglecting structural-functional (S-F) coupling in PSA.
Purpose of the Study:
- To investigate S-F coupling in patients with PSA.
- To explore the relationship between network properties, S-F coupling, and language function.
Main Methods:
- Recruited 52 PSA patients and 55 normal controls (NCs).
- Constructed structural connectivity (SC) and functional connectivity (FC) networks using diffusion kurtosis imaging (DKI) and rs-fMRI.
- Applied graph theory analysis and multiscale S-F coupling calculations, followed by correlation analysis with the Western Aphasia Battery (WAB).
Main Results:
- PSA patients exhibited disrupted SC global topology (reduced efficiency, increased path length) but no significant global FC differences.
- Nodal SC properties were decreased, while FC showed hemispheric asymmetry.
- Reduced whole-brain S-F coupling and decoupling were observed in several networks, with FPN S-F coupling positively correlating with the aphasia quotient (AQ).
Conclusions:
- PSA is characterized by asymmetric disruption of network topology and multiscale S-F decoupling.
- S-F coupling in the frontoparietal network (FPN) shows potential as a neuroimaging marker for predicting language recovery in PSA.

