Harmonizing functional connectivity reduces scanner effects in community detection

Community detection on graphs constructed from functional magnetic resonance imaging (fMRI) data has led to important insights into brain functional organization. Large studies of brain community structure often include images acquired on multiple scanners across different studies. Differences in sc...

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Vydané v:	NeuroImage (Orlando, Fla.) Ročník 256; s. 119198
Hlavní autori:	Chen, Andrew A., Srinivasan, Dhivya, Pomponio, Raymond, Fan, Yong, Nasrallah, Ilya M., Resnick, Susan M., Beason-Held, Lori L., Davatzikos, Christos, Satterthwaite, Theodore D., Bassett, Dani S., Shinohara, Russell T., Shou, Haochang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Inc 01.08.2022 Elsevier Limited Elsevier
Predmet:	Algorithms Alzheimer's disease Benchmarking Brain - diagnostic imaging Brain architecture Brain mapping Brain Mapping - methods Brain networks Community detection Community structure Functional connectivity Functional magnetic resonance imaging Functional morphology Gene expression Harmonization Humans Magnetic Resonance Imaging - methods Methods Network analyses Neural networks Neuroimaging Reproducibility of Results Scanners Site effects Time series Functional connectivity Community detection Site effects Network analyses Brain networks Harmonization
ISSN:	1053-8119, 1095-9572, 1095-9572
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