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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Bibliografiska uppgifter
I publikationen:eNeuro
Huvudupphovsmän: Arbabyazd, Lucas, Shen, Kelly, Wang, Zheng, Hofmann-Apitius, Martin, Ritter, Petra, McIntosh, Anthony R., Battaglia, Demian, Jirsa, Viktor
Materialtyp: Artigo
Språk:Inglês
Publicerad: Society for Neuroscience 2021
Ämnen:
Research Article: Methods/New Tools
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC8260273/
https://ncbi.nlm.nih.gov/pubmed/34045210
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1523/ENEURO.0475-20.2021
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