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  Resting developments: A review of fMRI post-processing methodologies for spontaneous brain activity

Margulies, D., Boettger, J., Long, X., LV, Y., Kelly, C., Schäfer, A., et al. (2010). Resting developments: A review of fMRI post-processing methodologies for spontaneous brain activity. Magnetic Resonance Materials in Physics, Biology and Medicine, 23(5-6), 289-307. doi:10.1007/s10334-010-0228-5.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-68A7-D Version Permalink: http://hdl.handle.net/21.11116/0000-0002-68A8-C
Genre: Journal Article

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 Creators:
Margulies, DS, Author
Boettger, J, Author
Long, X, Author
LV, Y, Author
Kelly, C, Author
Schäfer, A, Author
Goldhahn, D, Author
Abbushi, A, Author
Milham, MP, Author
Lohmann, G1, Author              
Villringer, A, Author
Affiliations:
1Max Planck Institute for Human Cognitive and Brain SciencesLeipzig, ou_persistent22              

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 Abstract: Analytic tools for addressing spontaneous brain activity, as acquired with fMRI during the “resting-state,” have grown dramatically over the past decade. Along with each new technique, novel hypotheses about the functional organization of the brain are also available to researchers. We review six prominent categories of resting-state fMRI data analysis: seed-based functional connectivity, independent component analysis, clustering, pattern classification, graph theory, and two “local” methods. In surveying these methods, we address their underlying assumptions, methodologies, and novel applications.

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Language(s): eng - English
 Dates: 2010-12
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.1007/s10334-010-0228-5
 Degree: -

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Title: Magnetic Resonance Materials in Physics, Biology and Medicine
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : No longer published by Elsevier
Pages: - Volume / Issue: 23 (5-6) Sequence Number: - Start / End Page: 289 - 307 Identifier: ISSN: 0968-5243
CoNE: https://pure.mpg.de/cone/journals/resource/954926245532