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Abstract #4328

Predicting the Neurodegeneration after Stroke using Disconnectivity Map

Takayuki YAMAMOTO1, Hikaru FUKUTOMI1, Vincent DOUSSET1,2, Igor SIBON3, and Thomas TOURDIAS1,2
1Institut de Bio-imagerie IBIO, Université de Bordeaux, Bordeaux, France, 2Neuroimagerie diagnostique et thérapeutique, CHU de Bordeaux, Bordeaux, France, 3Unité de soins intensifs neurovasculaires, CHU de Bordeaux, Bordeaux, France

We investigated remote effects of brain infarction. We previously demonstrated higher iron content (higher R2* values) in deep nuclei as a consequence of their disconnection. Here, we aimed at predicting such long term remote degeneration from the acute stage. Through a disconnectivity approach, we mapped the fibers that were likely to be disconnected by projecting the acute stroke masks on tractograms from 180 healthy volunteers. We showed that disconnected areas based on this approach were likely to show significantly higher iron content at follow-up. This validates the prediction of deep nuclei disconnection from acute stage through a disconnectivity approach.

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