Global and System-Specific Resting-State fMRI Fluctuations Are Uncorrelated: Principal Component Analysis Reveals Anti-Correlated Networks-Reference-Cited by-同舟云学术

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Global and System-Specific Resting-State fMRI Fluctuations Are Uncorrelated: Principal Component Analysis Reveals Anti-Correlated Networks

Published:2011-12 Issue:6 Volume:1 Page:496-510
ISSN:2158-0014
Container-title:Brain Connectivity
language:en
Short-container-title:Brain Connectivity

Author:

Carbonell Felix¹²,Bellec Pierre³,Shmuel Amir¹²⁴

Affiliation:

1. Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.

2. Department of Neurology and Neurosurgery, McGill University, Montreal, Canada.

3. Département de recherche de l'institut de Gériatrie de Montréal, Université de Montréal, Montreal, Canada.

4. Departments of Physiology and Biomedical Engineering, McGill University, Montreal, Canada.

Publisher

Mary Ann Liebert Inc

Subject

General Neuroscience

Link

http://www.liebertpub.com/doi/pdf/10.1089/brain.2011.0065

Reference38 articles.

1. The Inferential Impact of Global Signal Covariates in Functional Neuroimaging Analyses

2. A Global Estimator Unbiased by Local Changes

3. Comparison of two exploratory data analysis methods for fMRI: fuzzy clustering vs. principal component analysis

4. Isolating physiologic noise sources with independently determined spatial measures

5. Investigations into resting-state connectivity using independent component analysis

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