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Network Abnormalities in Ischemic Stroke: A Meta-analysis of Resting-State Functional Connectivity
1Department of Neurology, Yale University School of Medicine, 333 Cedar Street, New Haven, CT, 06520, USA. zhengzhang796@gmail.com.
Brain Topography
|January 4, 2025
Summary
This meta-analysis reveals widespread resting-state functional connectivity (rsFC) alterations in ischemic stroke patients, including within- and across-network disruptions. Hypoconnectivity between the default mode network (DMN) and frontoparietal network (FPN) lessens over time, aiding recovery insights.
Area of Science:
- Neuroscience
- Medical Imaging
- Systems Biology
Background:
- Ischemic stroke frequently causes aberrant large-scale resting-state functional connectivity (rsFC).
- Altered within- and across-network connectivity patterns in stroke are not fully understood.
- Understanding these changes is crucial for identifying stroke-related impairments and guiding rehabilitation.
Purpose of the Study:
- To identify altered rsFC in ischemic stroke patients compared to healthy controls.
- To investigate longitudinal changes in network dysfunction across acute, subacute, and chronic stroke phases.
Main Methods:
- A meta-analysis of 24 eligible studies.
- Included 558 ischemic stroke patients and 526 healthy controls.
- Analyzed 269 foci across 58 contrasts of resting-state functional connectivity data.
Main Results:
- Identified within-network hypoconnectivity in sensorimotor (SMN), default mode (DMN), frontoparietal (FPN), and salience (SN) networks.
- Found across-network hypoconnectivity between SMN-SN, SMN-visual, FPN-SN, and FPN-DMN.
- Observed across-network hyperconnectivity between SMN-DMN, SMN-FPN, SN-DMN, and SN-FPN.
Conclusions:
- This meta-analysis provides the first evidence of large-scale rsFC dysfunction in ischemic stroke.
- DMN-FPN hypoconnectivity diminishes over stroke phases, suggesting recovery dynamics.
- These findings may inform diagnostic models and therapeutic interventions for stroke recovery.
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