Title |
Resting developments: a review of fMRI post-processing methodologies for spontaneous brain activity
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Published in |
Magnetic Resonance Materials in Physics, Biology and Medicine, October 2010
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DOI | 10.1007/s10334-010-0228-5 |
Pubmed ID | |
Authors |
Daniel S. Margulies, Joachim Böttger, Xiangyu Long, Yating Lv, Clare Kelly, Alexander Schäfer, Dirk Goldhahn, Alexander Abbushi, Michael P. Milham, Gabriele Lohmann, Arno Villringer |
Abstract |
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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Geographical breakdown
Country | Count | As % |
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Germany | 9 | 2% |
Netherlands | 7 | 1% |
United Kingdom | 7 | 1% |
Canada | 5 | <1% |
Spain | 3 | <1% |
Brazil | 2 | <1% |
Austria | 2 | <1% |
China | 2 | <1% |
Other | 11 | 2% |
Unknown | 506 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 141 | 25% |
Researcher | 133 | 24% |
Student > Master | 78 | 14% |
Student > Doctoral Student | 40 | 7% |
Professor > Associate Professor | 29 | 5% |
Other | 96 | 17% |
Unknown | 48 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 132 | 23% |
Medicine and Dentistry | 90 | 16% |
Neuroscience | 90 | 16% |
Agricultural and Biological Sciences | 54 | 10% |
Engineering | 47 | 8% |
Other | 69 | 12% |
Unknown | 83 | 15% |