期刊
MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE
卷 23, 期 5-6, 页码 289-307出版社
SPRINGER
DOI: 10.1007/s10334-010-0228-5
关键词
Resting state; Functional connectivity; Brain networks
资金
- Stavros S. Niarchos Foundation
- Leon Levy Foundation
- Autism Speaks
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.
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