Mourão-Miranda, J;
Oliveira, L;
Ladouceur, CD;
Marquand, A;
Brammer, M;
Birmaher, B;
Axelson, D;
(2012)
Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents.
PLoS One
, 7
(2)
, Article e29482. 10.1371/journal.pone.0029482.
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Abstract
There are no known biological measures that accurately predict future development of psychiatric disorders in individual at-risk adolescents. We investigated whether machine learning and fMRI could help to: 1. differentiate healthy adolescents genetically at-risk for bipolar disorder and other Axis I psychiatric disorders from healthy adolescents at low risk of developing these disorders; 2. identify those healthy genetically at-risk adolescents who were most likely to develop future Axis I disorders.
| Type: | Article |
|---|---|
| Title: | Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents. |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1371/journal.pone.0029482 |
| Publisher version: | http://dx.doi.org/10.1371/journal.pone.0029482 |
| Language: | English |
| Additional information: | © 2012 Mourão-Miranda et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. PMCID: PMC3280237 This work was supported by the National Institute of Mental Health (R01MH076971 and R01MH073953 to MP, K01MH083001 to CD, R01MH60952 to BB). CD and MP are supported by the National Alliance for Research on Schizophrenia and Depression (NARSAD). JMM is supported by the Welcome Trust. LO is supported by Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)/Brazil. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. |
| Keywords: | Adolescent, Artificial Intelligence, Bipolar Disorder, Case-Control Studies, Child, Child of Impaired Parents, Female, Follow-Up Studies, Functional Neuroimaging, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Mental Disorders, Mood Disorders, Pattern Recognition, Physiological, Prognosis, ROC Curve, Risk Factors |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/1340742 |
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