Yarkoni, Tal, Poldrack, Russell A., Nichols, Thomas E., Van Essen, David C. and Wager, Tor D. (2011) Large-scale automated synthesis of human functional neuroimaging data. Nature Methods, 8 (8). pp. 665-670. doi:10.1038/nmeth.1635 ISSN 1548-7091.

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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
Divisions:	Faculty of Science, Engineering and Medicine > Science > Statistics Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title:	Nature Methods
Publisher:	Nature Publishing Group
ISSN:	1548-7091
Official Date:	2011
Dates:	Date Event 2011 Published
Volume:	8
Number:	8
Page Range:	pp. 665-670
DOI:	10.1038/nmeth.1635
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access

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