Post-Stroke Resting-State EEG Connectivity: A Longitudinal Neuro-Rehabilitation Study

Area of Science:

• Neuroscience
• Rehabilitation Medicine
• Biomedical Engineering

Background:

• Stroke is a primary cause of long-term disability, with many patients experiencing incomplete recovery and dependence in Activities of Daily Living (ADL).
• Understanding neural plasticity mechanisms post-stroke is crucial for developing effective rehabilitation strategies.
• Current rehabilitation approaches often lack personalization, potentially limiting functional recovery outcomes.

Purpose of the Study:

• To investigate neural reorganization and plasticity following stroke using electroencephalography (EEG) and Directed Transfer Function (DTF).
• To correlate changes in brain information flow with motor function recovery, measured by the Fugl-Meyer Assessment (FMA).
• To identify key brain regions involved in neuro-rehabilitation and explore DTF as a biomarker for neuroplasticity.

Main Methods:

• Resting-state EEG data were collected from stroke patients at five time points over three months post-stroke onset.
• Directed Transfer Function (DTF) analysis was employed to quantify information flow between different brain regions.
• DTF metrics were correlated with FMA scores to assess the relationship between neural reorganization and motor function recovery.

Main Results:

• The occipital region demonstrated a significant correlation (r = 0.45 to 0.47) with FMA scores, indicating its importance in recovery.
• Information flow dynamics between contra-lesional and ipsi-lesional brain regions showed complementary patterns during the acute and sub-acute phases.
• An imbalance in information inflow versus outflow within the Affected Region (AR) was observed to normalize by the end of the three-month study period.

Conclusions:

• Directed Transfer Function (DTF) shows promise as a biomarker for assessing neuroplasticity after stroke.
• The occipital, temporal, and motor cortex regions are identified as critical areas for neuro-rehabilitation.
• Understanding regional brain dynamics during rehabilitation can facilitate the design of tailored interventions for improved patient recovery.