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This lecture explores the impact of stroke on an aging society, emphasizing the significant economic burden and challenges faced in the 21st century due to neurodegenerative and cerebrovascular disorders. It delves into personalized health in neurological disorders, focusing on stroke as an example and discussing the importance of personalized treatment in acute and chronic stroke. The use of advanced MRI imaging to provide patient-specific information, the prediction of outcomes, and the potential for plasticity in motor function post-stroke are also covered. Additionally, the lecture highlights the role of connectivity analyses and machine learning in predicting the degree of recovery in stroke patients, showcasing the potential of modern MRI imaging and computational approaches in guiding personalized treatments.
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