A hierarchical independent component analysis model for longitudinal neuroimaging studies

Author:

Wang Yikai,Guo Ying

Funder

National Institute of Mental Health of the National Institutes of Health

National Center for Advancing Translational Sciences of the National Institutes of Health

National Institute on Aging, the National Institute of Biomedical Imaging and Bioengineering

AbbVie

Alzheimer's Association

Alzheimer's Drug Discovery Foundation

Araclon Biotech

BioClinica

Biogen

Bristol-Myers Squibb Company

CereSpir, Inc.

Cogstate

Eisai.

Elan Pharmaceuticals, Inc.

Eli Lilly and Company

EuroImmun

F. Hoffmann-La Roche Ltd

Genentech.

Fujirebio

GE Healthcare

IXICO Ltd.

Janssen Alzheimer Immunotherapy Research & Development, LLC.

Johnson & Johnson Pharmaceutical Research & Development LLC.

Lumosity

Lundbeck

Merck.

Meso Scale Diagnostics, LLC.

NeuroRx Research

Neurotrack Technologies

Novartis Pharmaceuticals Corporation

Pfizer.

Piramal Imaging; Servier

Takeda Pharmaceutical Company

Transition Therapeutics

The Canadian Institutes of Health Research

Foundation for the National Institutes of Health

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference42 articles.

1. A variational Bayesian framework for graphical models;Attias;Adv. Neural Inf. Process. Syst.,2000

2. Probabilistic independent component analysis for functional magnetic resonance imaging. Medical Imaging;Beckmann;IEEE Transactions on,2004

3. Tensorial extensions of independent component analysis for multisubject FMRI analysis;Beckmann;Neuroimage,2005

4. Investigations into resting-state connectivity using independent component analysis;beckmann;Philos. Trans. R. Soc. Lond. B Biol. Sci.,2005

5. Blind source separation of multiple signal sources of fMRI data sets using independent component analysis;Biswal;J. Comput. Assist. Tomogr.,1999

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