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Related Experiment Video

Updated: Aug 12, 2025

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
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Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke

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Altered static and dynamic functional network connectivity in post-stroke cognitive impairment.

Xipeng Yue1, Ziqiang Li2, Ying Li3

  • 1Department of Medical Imaging, Zhengzhou University People's Hospital & Henan Provincial People's Hospital, Zhengzhou, China; Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.

Neuroscience Letters
|January 30, 2023
PubMed
Summary

Post-stroke cognitive impairment (PSCI) is linked to altered brain network connectivity. This study found significant differences in static and dynamic functional network connectivity (sFNC and dFNC) in PSCI patients compared to healthy controls.

Keywords:
Functional magnetic resonance imagingFunctional network connectivityPost-stroke cognitive impairmentResting-state networks

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Area of Science:

  • Neuroscience
  • Medical Imaging
  • Cognitive Science

Background:

  • Post-stroke cognitive impairment (PSCI) is a frequent consequence of brain stroke.
  • The underlying neural mechanisms of PSCI remain poorly understood.
  • Functional network connectivity (FNC) alterations may play a role in PSCI.

Purpose of the Study:

  • To investigate alterations in static functional network connectivity (sFNC) and dynamic functional network connectivity (dFNC) in patients with PSCI.
  • To explore the relationship between FNC changes and cognitive function in PSCI.

Main Methods:

  • 17 PSCI patients and 24 healthy controls (HC) underwent resting-state fMRI (rs-fMRI).
  • Independent component analysis with sliding-window and K-means clustering was used to analyze FNC across 11 resting-state networks.
  • sFNC, dFNC, and dynamic indices (fraction time, mean dwell time, transition number) were calculated and compared between groups.

Main Results:

  • PSCI patients exhibited decreased sFNC between several networks, including dDMN-vDMN and AUDN-VN.
  • Significant group differences in dFNC were observed, particularly decreased interactions in AUDN-VN and dDMN-VN in specific states.
  • Longer mean dwell time in one dFNC state was found in PSCI patients and negatively correlated with Mini-Mental State Examination (MMSE) scores.

Conclusions:

  • PSCI is characterized by significant alterations in both static and dynamic functional network connectivity.
  • These findings offer a novel perspective on the neural mechanisms underlying PSCI.
  • Investigating sFNC and dFNC may provide valuable insights for understanding and potentially treating cognitive deficits after stroke.