Connectomics underlying motor functional outcomes in the acute period following stroke

ObjectiveStroke remains the number one cause of morbidity in many developing countries, and while effective neurorehabilitation strategies exist, it remains difficult to predict the individual trajectories of patients in the acute period, making personalized therapies difficult. Sophisticated and da...

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Principais autores:	Rong Bian, Ming Huo, Wan Liu, Negar Mansouri, Onur Tanglay, Isabella Young, Karol Osipowicz, Xiaorong Hu, Xia Zhang, Stephane Doyen, Michael E. Sughrue, Li Liu
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2023-02-01
Series:	Frontiers in Aging Neuroscience
Assuntos:	stroke machine learning connectomic analysis functional prediction structural and functional connectivity motor functional outcome
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fnagi.2023.1131415/full
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