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Large-scale automated synthesis of human functional neuroimaging data
The explosive growth of the human neuroimaging literature has led to major advances in understanding of human brain function, but has also made aggregation and synthesis of neuroimaging findings increasingly difficult. Here we describe and validate an automated brain mapping framework that uses text...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146590/ https://www.ncbi.nlm.nih.gov/pubmed/21706013 http://dx.doi.org/10.1038/nmeth.1635 |
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author | Yarkoni, Tal Poldrack, Russell A. Nichols, Thomas E. Van Essen, David C. Wager, Tor D. |
author_facet | Yarkoni, Tal Poldrack, Russell A. Nichols, Thomas E. Van Essen, David C. Wager, Tor D. |
author_sort | Yarkoni, Tal |
collection | PubMed |
description | The explosive growth of the human neuroimaging literature has led to major advances in understanding of human brain function, but has also made aggregation and synthesis of neuroimaging findings increasingly difficult. 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 demonstrate the capacity of our approach 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 validate a powerful and generative framework for synthesizing human neuroimaging data on an unprecedented scale. |
format | Online Article Text |
id | pubmed-3146590 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
record_format | MEDLINE/PubMed |
spelling | pubmed-31465902012-02-01 Large-scale automated synthesis of human functional neuroimaging data Yarkoni, Tal Poldrack, Russell A. Nichols, Thomas E. Van Essen, David C. Wager, Tor D. Nat Methods Article The explosive growth of the human neuroimaging literature has led to major advances in understanding of human brain function, but has also made aggregation and synthesis of neuroimaging findings increasingly difficult. 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 demonstrate the capacity of our approach 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 validate a powerful and generative framework for synthesizing human neuroimaging data on an unprecedented scale. 2011-06-26 /pmc/articles/PMC3146590/ /pubmed/21706013 http://dx.doi.org/10.1038/nmeth.1635 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Yarkoni, Tal Poldrack, Russell A. Nichols, Thomas E. Van Essen, David C. Wager, Tor D. Large-scale automated synthesis of human functional neuroimaging data |
title | Large-scale automated synthesis of human functional neuroimaging data |
title_full | Large-scale automated synthesis of human functional neuroimaging data |
title_fullStr | Large-scale automated synthesis of human functional neuroimaging data |
title_full_unstemmed | Large-scale automated synthesis of human functional neuroimaging data |
title_short | Large-scale automated synthesis of human functional neuroimaging data |
title_sort | large-scale automated synthesis of human functional neuroimaging data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146590/ https://www.ncbi.nlm.nih.gov/pubmed/21706013 http://dx.doi.org/10.1038/nmeth.1635 |
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