Canonical Correlation Analysis and Partial Least Squares for Identifying Brain–Behavior Associations: A Tutorial and a Comparative Study-Reference-Cited by-同舟云学术

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Canonical Correlation Analysis and Partial Least Squares for Identifying Brain–Behavior Associations: A Tutorial and a Comparative Study

Published:2022-11 Issue:11 Volume:7 Page:1055-1067
ISSN:2451-9022
Container-title:Biological Psychiatry: Cognitive Neuroscience and Neuroimaging
language:en
Short-container-title:Biological Psychiatry: Cognitive Neuroscience and Neuroimaging

Author:

Mihalik Agoston^ORCID,Chapman James,Adams Rick A.^ORCID,Winter Nils R.,Ferreira Fabio S.,Shawe-Taylor John^ORCID,Mourão-Miranda Janaina

Funder

Fundação para a Ciência e a Tecnologia

Medical Research Council

Engineering and Physical Sciences Research Council

National Institute for Health and Care Research

Alzheimer's Disease Neuroimaging Initiative

Department of Health and Social Care

Deutsche Forschungsgemeinschaft

MQ Transforming Mental Health

Wellcome Trust

Publisher

Elsevier BV

Subject

Biological Psychiatry,Neurology (clinical),Cognitive Neuroscience,Radiology, Nuclear Medicine and imaging

Reference64 articles.

1. Statistical challenges in “big data” human neuroimaging;Smith;Neuron,2018

2. Inference in the age of big data: Future perspectives on neuroscience;Bzdok;Neuroimage,2017

3. Towards algorithmic analytics for large-scale datasets;Bzdok;Nat Mach Intell,2019

4. Relations between two sets of variates;Hotelling;Biometrika,1936

5. Partial least squares;Wold,1985

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