Discovering relations between mind, brain, and mental disorders using topic mapping.

Neuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identify the conceptual structure of mental functions an...

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Main Authors: Russell A Poldrack, Jeanette A Mumford, Tom Schonberg, Donald Kalar, Bishal Barman, Tal Yarkoni
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2012-01-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC3469446?pdf=render
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spelling doaj-7538ef9739f946edad4060533384246f2020-11-24T21:49:06ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582012-01-01810e100270710.1371/journal.pcbi.1002707Discovering relations between mind, brain, and mental disorders using topic mapping.Russell A PoldrackJeanette A MumfordTom SchonbergDonald KalarBishal BarmanTal YarkoniNeuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identify the conceptual structure of mental functions and their mapping to brain systems. This analysis confirms many current ideas regarding the neural organization of cognition, but also provides some new insights into the roles of particular brain systems in mental function. We further show that the same methods can be used to identify the relations between mental disorders. Finally, we show that these two approaches can be combined to empirically identify novel relations between mental disorders and mental functions via their common involvement of particular brain networks. This approach has the potential to discover novel endophenotypes for neuropsychiatric disorders and to better characterize the structure of these disorders and the relations between them.http://europepmc.org/articles/PMC3469446?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Russell A Poldrack
Jeanette A Mumford
Tom Schonberg
Donald Kalar
Bishal Barman
Tal Yarkoni
spellingShingle Russell A Poldrack
Jeanette A Mumford
Tom Schonberg
Donald Kalar
Bishal Barman
Tal Yarkoni
Discovering relations between mind, brain, and mental disorders using topic mapping.
PLoS Computational Biology
author_facet Russell A Poldrack
Jeanette A Mumford
Tom Schonberg
Donald Kalar
Bishal Barman
Tal Yarkoni
author_sort Russell A Poldrack
title Discovering relations between mind, brain, and mental disorders using topic mapping.
title_short Discovering relations between mind, brain, and mental disorders using topic mapping.
title_full Discovering relations between mind, brain, and mental disorders using topic mapping.
title_fullStr Discovering relations between mind, brain, and mental disorders using topic mapping.
title_full_unstemmed Discovering relations between mind, brain, and mental disorders using topic mapping.
title_sort discovering relations between mind, brain, and mental disorders using topic mapping.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2012-01-01
description Neuroimaging research has largely focused on the identification of associations between brain activation and specific mental functions. Here we show that data mining techniques applied to a large database of neuroimaging results can be used to identify the conceptual structure of mental functions and their mapping to brain systems. This analysis confirms many current ideas regarding the neural organization of cognition, but also provides some new insights into the roles of particular brain systems in mental function. We further show that the same methods can be used to identify the relations between mental disorders. Finally, we show that these two approaches can be combined to empirically identify novel relations between mental disorders and mental functions via their common involvement of particular brain networks. This approach has the potential to discover novel endophenotypes for neuropsychiatric disorders and to better characterize the structure of these disorders and the relations between them.
url http://europepmc.org/articles/PMC3469446?pdf=render
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