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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.

Original publication

DOI

10.1007/s10334-010-0228-5

Type

Journal article

Journal

MAGMA

Publication Date

12/2010

Volume

23

Pages

289 - 307

Keywords

Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Nervous System Diseases, Neural Pathways, Rest