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

Margulies, DS; Boettger, J; Long, X; LV, Y; Kelly, C; Schäfer, A; Goldhahn, D; Abbushi, A; Milham, MP; Lohmann, G; Villringer, A

doi:10.1007/s10334-010-0228-5

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

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https://link.springer.com/content/pdf/10.1007%2Fs10334-010-0228-5.pdf
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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.

Cite as: https://hdl.handle.net/21.11116/0000-0002-68A7-D

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.