Stroke recovery phenotyping through network trajectory approaches and graph neural networks

Stroke recovery phenotyping through network trajectory approaches and graph neural networks

Abstract Stroke is a leading cause of neurological injury characterized by impairments in multiple neurological domains including cognition, language, sensory and motor functions. Clinical recovery in these domains is tracked using a wide range of measures that may be continuous, ordinal, interval o...

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Bibliographic Details
Main Authors: Sanjukta Krishnagopal, Keith Lohse, Robynne Braun
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:Brain Informatics
Subjects:
Stroke recovery
Disease subtyping
Network science
Network medicine
Graph neural networks
Online Access:https://doi.org/10.1186/s40708-022-00160-w

Internet

https://doi.org/10.1186/s40708-022-00160-w

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