Virtual Connectomic Datasets in Alzheimer’s Disease and Aging Using Whole-Brain Network Dynamics Modelling

Large neuroimaging datasets, including information about structural connectivity (SC) and functional connectivity (FC), play an increasingly important role in clinical research, where they guide the design of algorithms for automated stratification, diagnosis or prediction. A major obstacle is, howe...

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Bibliographic Details

Published in:	eNeuro Vol. 8; no. 4; pp. ENEURO.0475-20.2021 - 20.2021
Main Authors:	Arbabyazd, Lucas, Shen, Kelly, Wang, Zheng, Hofmann-Apitius, Martin, Ritter, Petra, McIntosh, Anthony R., Battaglia, Demian, Jirsa, Viktor
Format:	Journal Article
Language:	English
Published:	Society for Neuroscience 01.07.2021
Subjects:	Condensed Matter Disordered Systems and Neural Networks Life Sciences Methods/New Tools Neurons and Cognition Physics fMRI connectome aging Alzheimer's diseases whole-brain modelling dataset completion
ISSN:	2373-2822, 2373-2822
Online Access:	Get full text
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