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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Vydáno v:	eNeuro Ročník 8; číslo 4; s. ENEURO.0475-20.2021 - 20.2021
Hlavní autoři:	Arbabyazd, Lucas, Shen, Kelly, Wang, Zheng, Hofmann-Apitius, Martin, Ritter, Petra, McIntosh, Anthony R., Battaglia, Demian, Jirsa, Viktor
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Society for Neuroscience 01.07.2021
Témata:	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
On-line přístup:	Získat plný text
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