Connectomic Alterations Following Acute Ischemic Stroke in the MCA Territory

This study seeks to use safe, powerful, non-invasive computing tools, including machine learning and advanced neuroimaging analysis, to better understand how stroke affects the brain's network of connections. Using structural MRI, including diffusion-weighted imaging, this study will generate a detailed map of brain pathways to evaluate how strokes in the middle cerebral artery (MCA) territory disrupt the brain's structural networks. In the future, this approach may help physicians better predict recovery, monitor neuroplasticity, and guide rehabilitation decisions after stroke.