Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity.
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.
Margulies
Daniel S
DS
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. margulies@cbs.mpg.de
Böttger
Joachim
J
Long
Xiangyu
X
Lv
Yating
Y
Kelly
Clare
C
Schäfer
Alexander
A
Goldhahn
Dirk
D
Abbushi
Alexander
A
Milham
Michael P
MP
Lohmann
Gabriele
G
Villringer
Arno
A
D001921:Brain / Q000473:pathology* / Q000502:physiology; D001931:Brain Mapping / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009422:Nervous System Diseases / Q000175:diagnosis* / Q000503:physiopathology; D009434:Neural Pathways / Q000502:physiology; D012146:Rest / Q000502:physiology