Related Experiment Video
Updated: Mar 13, 2026
Electroencephalography Network Indices as Biomarkers of Upper Limb Impairment in Chronic Stroke
Published on: July 14, 2023
Brain connectivity and neurological disorders after stroke.
Antonello Baldassarre1, Lenny E Ramsey, Joshua S Siegel
1aIstituto Neurologico Mediterraneo Neuromed, Pozzilli (IS), Italy bCarroll University, Waukesha, Wisconsin cDepartment of Neurology dDepartment of Radiology eDepartment of Neuroscience fDepartment of Bioengineering, School of Medicine, Washington University in Saint Louis, Saint Louis, USA gDepartment of Neuroscience, University of Padua, Padua, Italy.
Brain injury alters brain networks and behavior. Functional connectivity changes in resting state networks (RSNs) are key to understanding deficits and recovery after stroke.
Area of Science:
- Neuroscience
- Neurology
- Brain Imaging
Background:
- The human brain is organized into large-scale resting state networks (RSNs) identified by functional connectivity.
- Focal brain lesions cause behaviorally relevant changes in functional connectivity extending beyond the lesion site.
Purpose of the Study:
- To review recent advances in understanding how focal brain lesions affect brain networks and behavior.
- To explore the neural mechanisms underlying behavioral deficits post-brain injury.
Main Methods:
- Review of neuroimaging studies, particularly those examining resting state networks (RSNs) and functional connectivity.
- Analysis of patterns of functional connectivity changes following focal brain lesions.
Main Results:
- Functional connectivity changes often involve reduced interhemispheric and increased intrahemispheric connectivity between anticorrelated networks.
- These connectivity changes can be behaviorally specific, relating to particular RSNs and predicting deficits.
- Functional connectivity patterns tend to restore as behavioral recovery progresses.
Conclusions:
- Investigating RSN changes offers insights into neural mechanisms of post-stroke brain dysfunction.
- Resting state functional connectivity is a valuable tool for clinical diagnosis, recovery monitoring, and rehabilitation planning.
