Please use this identifier to cite or link to this item: http://repositorio.unifesp.br/handle/11600/35088
Title: Brain Imaging Analysis Can Identify Participants under Regular Mental Training
Authors: Sato, Joao R.
Kozasa, Elisa Harumi [UNIFESP]
Russell, Tamara A.
Radvany, Joao
Mello, Luiz Eugenio Araujo de Moraes [UNIFESP]
Lacerda, Shirley S.
Amaro, Edson
Universidade Federal do ABC (UFABC)
Hosp Israelita Albert Einstein
Universidade Federal de São Paulo (UNIFESP)
Kings Coll London
Issue Date: 3-Jul-2012
Publisher: Public Library Science
Citation: Plos One. San Francisco: Public Library Science, v. 7, n. 7, 6 p., 2012.
Abstract: Multivariate pattern recognition approaches have become a prominent tool in neuroimaging data analysis. These methods enable the classification of groups of participants (e. g. controls and patients) on the basis of subtly different patterns across the whole brain. This study demonstrates that these methods can be used, in combination with automated morphometric analysis of structural MRI, to determine with great accuracy whether a single subject has been engaged in regular mental training or not. the proposed approach allowed us to identify with 94.87% accuracy (p<0.001) if a given participant is a regular meditator (from a sample of 19 regular meditators and 20 non-meditators). Neuroimaging has been a relevant tool for diagnosing neurological and psychiatric impairments. This study may suggest a novel step forward: the emergence of a new field in brain imaging applications, in which participants could be identified based on their mental experience.
URI: http://repositorio.unifesp.br/handle/11600/35088
ISSN: 1932-6203
Other Identifiers: http://dx.doi.org/10.1371/journal.pone.0039832
Appears in Collections:Artigo

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