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.
Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany. margulies@cbs.mpg.de
Daniel S
DS
Margulies
Joachim
J
Böttger
Xiangyu
X
Long
Yating
Y
Lv
Clare
C
Kelly
Alexander
A
Schäfer
Dirk
D
Goldhahn
Alexander
A
Abbushi
Michael P
MP
Milham
Gabriele
G
Lohmann
Arno
A
Villringer
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