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Transmodal Learning of Functional Networks for Alzheimer’s Disease Prediction

Functional connectivity describes neural activity from resting-state functional magnetic resonance imaging (rs-fMRI). This noninvasive modality is a promising imaging biomarker of neurodegenerative diseases, such as Alzheimer’s disease (AD), where the connectome can be an indicator to assess and to...

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Bibliografski detalji
Izdano u:IEEE J Sel Top Signal Process
Glavni autori: Rahim, Mehdi, Thirion, Bertrand, Comtat, Claude, Varoquaux, Gaël
Format: Artigo
Jezik:Inglês
Izdano: 2016
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5421559/
https://ncbi.nlm.nih.gov/pubmed/28496560
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/JSTSP.2016.2600400
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