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Related Experiment Video

Updated: Feb 21, 2026

Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
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Structurofunctional resting-state networks correlate with motor function in chronic stroke.

Benjamin T Kalinosky1, Reivian Berrios Barillas2, Brian D Schmit1

  • 1Department of Biomedical Engineering, Marquette University, Milwaukee, WI, USA.

Neuroimage. Clinical
|October 4, 2017
PubMed
Summary
This summary is machine-generated.

This study shows that altered brain connectivity after stroke, measured by structurofunctional correlations (SFC), is linked to motor function deficits. Understanding these residual connections is key for stroke recovery.

Keywords:
Functional connectivityStrokeStructural connectivityStructurofunctional correlation

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Area of Science:

  • Neuroscience
  • Radiology
  • Biomedical Engineering

Background:

  • Stroke recovery depends on residual brain connections and resting-state functional connectivity.
  • Multimodal MRI, including functional connectivity MRI (fcMRI) and high angular-resolution diffusion imaging (HARDI), reveals structural and functional brain networks post-stroke.
  • Modeling the relationship between structural and functional connectivity is crucial for understanding stroke recovery.

Purpose of the Study:

  • To develop and test novel voxel-level measures of structurofunctional correlations (SFC) in chronic stroke subjects.
  • To investigate the relationship between structural and functional brain connectivity and motor function after stroke.

Main Methods:

  • A fully automated method was developed to model the structure-function relationship of brain connectivity using T1-weighted MRI, resting-state fMRI, and HARDI.
  • White matter fiber orientations were estimated using the q-ball model, and tractography was performed to obtain fiber trajectories.
  • A novel intrinsic structurofunctional correlation (iSFC) index and a network-based SFC map (nSFC) were derived by correlating voxel time courses with fiber-distance BOLD signals.

Main Results:

  • Significant decreases in iSFC were observed in stroke subjects within key brain hubs, correlating with motor function scores (Box and Blocks Score).
  • Network-based SFC (nSFC) maps showed diminished connectivity between the prefrontal cortex and cerebellum in stroke subjects compared to controls.
  • Default-mode network nSFC maps were elevated in the contralesional hemisphere of lower-functioning stroke subjects.

Conclusions:

  • Changes in intrinsic and network-based structurofunctional correlations after stroke are associated with motor function.
  • Residual structural connectivity plays a significant role in cortical network function and recovery post-stroke.