Neural Reorganization in Motor Recovery after Stroke: An Analysis Based on EEG

Post-stroke hemiparesis is a common long-term motor impairment, and patients may show considerable differences in recovery even after receiving similar rehabilitation training. This paper focuses on neural reorganization during post-stroke motor recovery and examines the use of electroencephalography (EEG) in observing changes in sensorimotor networks. Particular attention is given to alpha and beta oscillations, event-related desynchronization/synchronization (ERD/ERS), and functional connectivity. Current studies suggest that motor recovery after stroke involves dynamic reorganization of the ipsilesional motor areas, the contralesional hemisphere, and bilateral sensorimotor networks. However, recovery patterns are not consistent across patients. Changes in EEG measures should therefore not be simply interpreted as increased brain activity or stronger functional connectivity. Instead, they should be considered together with the severity of injury, the integrity of motor pathways, and the stage of recovery. EEG can provide useful neurophysiological information for understanding functional neural reorganization after stroke and may also support patient stratification and individualized rehabilitation assessment.

Authors

Institutions

Publication Details

Journal
Theoretical and Natural Science
Published
2026-11-03
DOI
https://doi.org/10.54254/2753-8818/2026.hz38522
Primary Topic
Stroke Rehabilitation and Recovery
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Neural Reorganization in Motor Recovery after Stroke: An Analysis Based on EEG

Qinyi Xia
Theoretical and Natural Science
Stroke Rehabilitation and Recovery
article

Neural Reorganization in Motor Recovery after Stroke: An Analysis Based on EEG

Qinyi Xia
article en

Abstract

Post-stroke hemiparesis is a common long-term motor impairment, and patients may show considerable differences in recovery even after receiving similar rehabilitation training. This paper focuses on neural reorganization during post-stroke motor recovery and examines the use of electroencephalography (EEG) in observing changes in sensorimotor networks. Particular attention is given to alpha and beta oscillations, event-related desynchronization/synchronization (ERD/ERS), and functional connectivity. Current studies suggest that motor recovery after stroke involves dynamic reorganization of the ipsilesional motor areas, the contralesional hemisphere, and bilateral sensorimotor networks. However, recovery patterns are not consistent across patients. Changes in EEG measures should therefore not be simply interpreted as increased brain activity or stronger functional connectivity. Instead, they should be considered together with the severity of injury, the integrity of motor pathways, and the stage of recovery. EEG can provide useful neurophysiological information for understanding functional neural reorganization after stroke and may also support patient stratification and individualized rehabilitation assessment.

Theoretical and Natural ScienceVol. 198(1)
Rutgers, The State University of New Jersey (US)
Openalex Percentile: Top 18%
Stroke Rehabilitation and Recovery
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
Neural Reorganization in Motor Recovery after Stroke: An Analysis Based on EEG — Qinyi Xia · Theoretical and Natural Science (2026) | TGRS Research Map | TGRS