Machine-learning identifies Parkinson's disease patients based on resting-state between-network functional connectivity

OBJECTIVE: Evaluation of a data-driven, model-based classification approach to discriminate idiopathic Parkinson’s disease (PD) patients from healthy controls (HC) based on between-network connectivity in whole-brain resting-state functional MRI (rs-fMRI). METHODS: Whole-brain rs-fMRI (EPI, TR = 2.2...

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Detalhes bibliográficos
Publicado no:Br J Radiol
Main Authors: Rubbert, Christian, Mathys, Christian, Jockwitz, Christiane, Hartmann, Christian J, Eickhoff, Simon B, Hoffstaedter, Felix, Caspers, Svenja, Eickhoff, Claudia R, Sigl, Benjamin, Teichert, Nikolas A, Südmeyer, Martin, Turowski, Bernd, Schnitzler, Alfons, Caspers, Julian
Formato: Artigo
Idioma:Inglês
Publicado em: The British Institute of Radiology. 2019
Assuntos:
Advances in neurodegenerative and psychiatric imaging special feature: Full paper
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6732922/
https://ncbi.nlm.nih.gov/pubmed/30994036
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1259/bjr.20180886
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