BrainStat: A toolbox for brain-wide statistics and multimodal feature associations

Analysis and interpretation of neuroimaging datasets has become a multidisciplinary endeavor, relying not only on statistical methods, but increasingly on associations with respect to other brain-derived features such as gene expression, histological data, and functional as well as cognitive archite...

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Detalhes bibliográficos

Principais autores:	Sara Larivière, Şeyma Bayrak, Reinder Vos de Wael, Oualid Benkarim, Peer Herholz, Raul Rodriguez-Cruces, Casey Paquola, Seok-Jun Hong, Bratislav Misic, Alan C. Evans, Sofie L. Valk, Boris C. Bernhardt
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2023-02-01
coleção:	NeuroImage
Assuntos:	Neuroimaging Multivariate analysis Univariate analysis
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1053811922009284
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