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Related Experiment Video

Updated: Jul 6, 2026

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

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

Published on: July 14, 2023

Dynamic topological changes of the motor network after stroke.

Antonello Baldassarre¹, Roberto Guidotti¹, Vittorio Pizzella¹

¹Department of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Institute for Advanced Biomedical Technologies, ITAB, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy.

Neuroimage. Clinical

|November 15, 2025

Summary

Motor stroke alters dynamic brain network topology, impacting motor function recovery. A specific motor region (vCS) showed reduced high centrality in severely impaired patients, revealing key insights into stroke-related motor deficits.

Keywords:

Betweenness centrality Dynamic functional connectivity Graph theory Magnetic resonance imaging Motor function Stroke

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Published on: October 10, 2025

Area of Science:

Neuroscience
Systems Neuroscience
Clinical Neurology

Background:

Motor stroke impacts functional connectivity and topology of the motor system.
Time-varying connectivity is crucial for motor impairment and recovery.
The temporal dynamics of motor network topology after stroke remain largely unexplored.

Purpose of the Study:

Identify dynamic central motor nodes associated with motor impairment post-stroke.
Characterize dynamic interactions within the motor system using graph theory and dynamic functional connectivity MRI.
Investigate the clinical relevance of temporal dynamics in motor network organization.

Main Methods:

Utilized resting-state fMRI data from 20 acute stroke patients.
Applied a sliding window approach to estimate dynamic functional connectivity within the motor network.
Computed time-varying nodal betweenness centrality to identify dynamic central motor nodes and their association with upper limb impairment.

Main Results:

Identified a dynamic central motor node in the ipsilesional anterior ventral central sulcus (vCS).
Severely impaired patients showed shorter durations in high centrality mode compared to less impaired individuals.
Upper limb impairment correlated with reduced functional connectivity between the vCS node and specific left hemisphere and cerebellar regions.

Conclusions:

Acute motor stroke significantly affects the time-varying topological properties of motor network functional interactions.
These dynamic topological changes are linked to upper limb impairment severity.
Findings offer insights into the neural mechanisms underlying motor deficits after stroke.