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Large-scale automated synthesis of human functional neuroimaging data
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Yarkoni, Tal, Poldrack, Russell A., Nichols, Thomas E., Van Essen, David and Wager, Tor D.. (2011) Large-scale automated synthesis of human functional neuroimaging data. Nature Methods, Vol.8 (No.8). pp. 665-670. ISSN 1548-7091
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Official URL: http://dx.doi.org/10.1038/nmeth.1635
Abstract
The rapid growth of the literature on neuroimaging in humans has led to major advances in our understanding of human brain function but has also made it increasingly difficult to aggregate and synthesize neuroimaging findings. Here we describe and validate an automated brain-mapping framework that uses text-mining, meta-analysis and machine-learning techniques to generate a large database of mappings between neural and cognitive states. We show that our approach can be used to automatically conduct large-scale, high-quality neuroimaging meta-analyses, address long-standing inferential problems in the neuroimaging literature and support accurate 'decoding' of broad cognitive states from brain activity in both entire studies and individual human subjects. Collectively, our results have validated a powerful and generative framework for synthesizing human neuroimaging data on an unprecedented scale.
| Item Type: | Journal Article |
|---|---|
| Subjects: | Q Science > QA Mathematics R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
| Divisions: | Faculty of Science > Statistics Faculty of Science > WMG (Formerly the Warwick Manufacturing Group) |
| Library of Congress Subject Headings (LCSH): | Brain -- Imaging -- Data processing, Nervous system -- Imaging -- Data processing, Brain mapping -- Data processing |
| Journal or Publication Title: | Nature Methods |
| Publisher: | Nature Publishing Group |
| ISSN: | 1548-7091 |
| Date: | 26 June 2011 |
| Volume: | Vol.8 |
| Number: | No.8 |
| Number of Pages: | 6 |
| Page Range: | pp. 665-670 |
| Identification Number: | 10.1038/nmeth.1635 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| Funder: | US National Institute of Nursing Research (NINR), US National Institute of Mental Health (NIMH), US National Institutes of Health (NIH), National Institute on Drug Abuse (NIDA) |
| Grant number: | F32NR012081 (NINR), R01MH082795, R01MH076136 (NIMH), R01MH60974 (NIH), R01DA027794, 1RC1DA028608 (NIDA) |
| URI: | http://wrap.warwick.ac.uk/id/eprint/38157 |
Data sourced from Thomson Reuters' Web of Knowledge
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