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Magma (New York, N.Y.) · Dec 2010
ReviewResting developments: a review of fMRI post-processing methodologies for spontaneous brain activity.
- Daniel S Margulies, Joachim Böttger, Xiangyu Long, Yating Lv, Clare Kelly, Alexander Schäfer, Dirk Goldhahn, Alexander Abbushi, Michael P Milham, Gabriele Lohmann, and Arno Villringer.
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. margulies@cbs.mpg.de
- MAGMA. 2010 Dec 1;23(5-6):289-307.
AbstractAnalytic 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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