Brain Imaging Analysis Can Identify Participants under Regular Mental Training

Brain Imaging Analysis Can Identify Participants under Regular Mental Training

Author Sato, Joao R. Google Scholar
Kozasa, Elisa Harumi Autor UNIFESP Google Scholar
Russell, Tamara A. Google Scholar
Radvany, Joao Google Scholar
Mello, Luiz Eugenio Araujo de Moraes Autor UNIFESP Google Scholar
Lacerda, Shirley S. Google Scholar
Amaro, Edson Google Scholar
Institution Universidade Federal do ABC (UFABC)
Hosp Israelita Albert Einstein
Universidade Federal de São Paulo (UNIFESP)
Kings Coll London
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.
Language English
Sponsor Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Instituto Israelita de Ensino e Pesquisa Albert Einstein
Grant number FAPESP: 2010/01394-4
Date 2012-07-03
Published in Plos One. San Francisco: Public Library Science, v. 7, n. 7, 6 p., 2012.
ISSN 1932-6203 (Sherpa/Romeo, impact factor)
Publisher Public Library Science
Extent 6
Access rights Open access Open Access
Type Article
Web of Science ID WOS:000306186900018

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