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Related Experiment Video

Updated: Jan 16, 2026

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
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Altered Dynamic Functional Network Connectivity in Post-Stroke Aphasia.

Guihua Xu1, Yongsheng Wu1, Junyu Qu1

  • 1Department of Radiology, Qilu Hospital of Shandong University and Qilu Medical Imaging Institute of Shandong University, Jinan, China.

Annals of Clinical and Translational Neurology
|September 26, 2025
PubMed
Summary
This summary is machine-generated.

Dynamic functional network connectivity (dFNC) analysis reveals altered brain network states in post-stroke aphasia (PSA) patients. These changes in dynamic connectivity correlate with language function, suggesting dFNC as a potential biomarker for aphasia.

Keywords:
default mode networkdynamic functional network connectivitylanguage networkpost‐stroke aphasia

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Area of Science:

  • Neuroscience
  • Clinical Neurology
  • Medical Imaging

Background:

  • Previous research on post-stroke aphasia (PSA) primarily used static functional connectivity.
  • Dynamic functional network connectivity (dFNC) offers a novel perspective on brain function in PSA.

Purpose of the Study:

  • To investigate alterations in dFNC in PSA patients.
  • To explore the relationship between dFNC and clinical language outcomes.

Main Methods:

  • Recruited 40 PSA patients and 41 healthy controls (NCs).
  • Utilized resting-state functional magnetic resonance imaging (rs-fMRI) and the Western Aphasia Battery (WAB).
  • Applied independent component analysis (ICA) and sliding window techniques for dFNC analysis, followed by k-means clustering.

Main Results:

  • Identified 4 distinct dFNC states.
  • PSA patients showed reduced intra-language network (LN) connectivity and altered inter-network connectivity (e.g., cerebellar network (CN) and default mode network (DMN)) in specific states.
  • dFNC metrics in the modular network state correlated with WAB scores.

Conclusions:

  • Altered dFNC patterns are characteristic of PSA.
  • dFNC may serve as a sensitive biomarker for language impairment in PSA.
  • Findings have implications for diagnostic assessment and treatment planning in PSA.