Frontoparietal Structural Network Disconnections Correlate With Outcome After a Severe Stroke

Area of Science:

• Neuroscience
• Neurology
• Medical Imaging

Background:

• Stroke lesions cause widespread network disturbances affecting recovery and outcomes.
• Previous studies focused on mild to moderate strokes, leaving severe stroke recovery mechanisms unclear.

Purpose of the Study:

• To investigate the association between lesion-induced network disconnection and outcomes in severe ischemic stroke patients.
• To identify specific brain regions and pathways critical for motor recovery after severe stroke.

Main Methods:

• Structural MRI and connectome data were used to create individual disconnectome profiles for 38 ischemic stroke patients.
• Ordinal logistic regression analyzed the link between disconnectome profiles and modified Rankin Scale scores at 3-6 months post-stroke.

Main Results:

• Disconnections in ipsilesional frontal, parietal, and temporal cortical areas correlated with worse motor outcomes, independent of initial deficit, lesion volume, and age.
• Frontal, prefrontal, and temporal disconnection effects were mainly intrahemispheric, while motor and parietal regions involved both intra- and interhemispheric pathways.

Conclusions:

• Localized disconnection within the structural frontoparietal network predicts poorer outcomes after severe stroke.
• The primary motor cortex and parietal regions are vital for linking frontoparietal networks across hemispheres, highlighting their importance in stroke recovery.