Whole-brain dynamical modelling for classification of Parkinson's disease.

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作者： Kyesam,Jung ^[1] ; Esther,Florin ^[2] ; Kaustubh R,Patil ^[3] ; Julian,Caspers ^[1] ; Christian,Rubbert ^[2] ; Simon B,Eickhoff ^[4] ; Oleksandr V,Popovych ^[4]

作者单位： Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Research Centre Jülich, 52425 Jülich, Germany. ^[1] Institute for Systems Neuroscience, Medical Faculty, Heinrich-Heine University Düsseldorf, 40225 Düsseldorf, Germany. ^[2] Institute of Clinical Neuroscience and Medical Psychology, Medical Faculty, Heinrich-Heine University Düsseldorf, 40225 Düsseldorf, Germany. ^[3] Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine University Dusseldorf, 40225 Düsseldorf, Germany. ^[4]

关键词 MRI Parkinson’s disease machine learning patient classification whole-brain simulation

DOI 10.1093/braincomms/fcac331

PMID 36601625

发布时间 2023-02-28

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Brain communications

2023年5卷1期

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Whole-brain dynamical modelling for classification of Parkinson's disease.

Brain communications

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Whole-brain dynamical modelling for classification of Parkinson's disease.

Brain communications

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