We are pleased to feature a new research article from past trainee, Vrishab Commuri. This study advances our understanding of how brain networks reorganize after minor stroke and how those changes relate to cognitive recovery. By applying sophisticated MEG-based analyses of functional connectivity, the research team identified neural patterns that correspond to both early cognitive performance and longer-term improvement. These findings contribute to ongoing efforts to clarify the neurophysiological pathways that support recovery and may eventually guide more targeted approaches to post-stroke assessment. Read the article here.

Below is a summary of the work provided by lead author Vrishab Commuri:

Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). This pattern of connectivity evolves over time. We examined the relationship of functional connectivity patterns to cognitive performance in forty-nine minor stroke patients to determine neurophysiological underpinnings of improvement, and whether connectivity profiles may be useful in evaluating and predicting longer-term cognitive outcomes. Functional connectivity was evaluated using the Network Localized Granger Causality framework applied to resting state magnetoencephalography (MEG). Repeat evaluations were performed 3-6 months later. Mixed effects models indicated significant increases in contralesional (opposite to stroke hemisphere) frontoparietal beta-band connectivity across visits that corresponded to improved behavioral performance. Early reliance on the contralesional hemisphere was associated with better scores at visit 1, and continued reliance on areas within the ipsilesional hemisphere was associated with poorer performance at visit 2. We identified specific connectivity profiles that are associated with better acute and longer-term cognitive performance and may indicate greater potential for recovery.