Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†

Differentiating bipolar from recurrent unipolar depression is a major clinical challenge. In 18 healthy females and 36 females in a depressive episode - 18 with bipolar disorder type I, 18 with recurrent unipolar depression - we applied pattern recognition analysis using subdivisions of anterior cin...

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Autores principales: Almeida, J. R. C., Mourao-Miranda, J., Aizenstein, H. J., Versace, A., Kozel, F. A., Lu, H., Marquand, A., LaBarbara, E. J., Brammer, M., Trivedi, M., Kupfer, D. J., Phillips, M. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Royal College of Psychiatrists 2013
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787302/
https://www.ncbi.nlm.nih.gov/pubmed/23969484
http://dx.doi.org/10.1192/bjp.bp.112.122838
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author Almeida, J. R. C.
Mourao-Miranda, J.
Aizenstein, H. J.
Versace, A.
Kozel, F. A.
Lu, H.
Marquand, A.
LaBarbara, E. J.
Brammer, M.
Trivedi, M.
Kupfer, D. J.
Phillips, M. L.
author_facet Almeida, J. R. C.
Mourao-Miranda, J.
Aizenstein, H. J.
Versace, A.
Kozel, F. A.
Lu, H.
Marquand, A.
LaBarbara, E. J.
Brammer, M.
Trivedi, M.
Kupfer, D. J.
Phillips, M. L.
author_sort Almeida, J. R. C.
collection PubMed
description Differentiating bipolar from recurrent unipolar depression is a major clinical challenge. In 18 healthy females and 36 females in a depressive episode - 18 with bipolar disorder type I, 18 with recurrent unipolar depression - we applied pattern recognition analysis using subdivisions of anterior cingulate cortex (ACC) blood flow at rest, measured with arterial spin labelling. Subgenual ACC blood flow classified unipolar v. bipolar depression with 81% accuracy (83% sensitivity, 78% specificity).
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spelling pubmed-37873022014-01-15 Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity† Almeida, J. R. C. Mourao-Miranda, J. Aizenstein, H. J. Versace, A. Kozel, F. A. Lu, H. Marquand, A. LaBarbara, E. J. Brammer, M. Trivedi, M. Kupfer, D. J. Phillips, M. L. Br J Psychiatry Short Report Differentiating bipolar from recurrent unipolar depression is a major clinical challenge. In 18 healthy females and 36 females in a depressive episode - 18 with bipolar disorder type I, 18 with recurrent unipolar depression - we applied pattern recognition analysis using subdivisions of anterior cingulate cortex (ACC) blood flow at rest, measured with arterial spin labelling. Subgenual ACC blood flow classified unipolar v. bipolar depression with 81% accuracy (83% sensitivity, 78% specificity). Royal College of Psychiatrists 2013-10 /pmc/articles/PMC3787302/ /pubmed/23969484 http://dx.doi.org/10.1192/bjp.bp.112.122838 Text en Royal College of Psychiatrists Royal College of Psychiatrists, This paper accords with the Wellcome Trust Open Access policy and is governed by the licence available athttp://www.rcpsych.ac.uk/pdf/Wellcome%20Trust%20licence.pdf
spellingShingle Short Report
Almeida, J. R. C.
Mourao-Miranda, J.
Aizenstein, H. J.
Versace, A.
Kozel, F. A.
Lu, H.
Marquand, A.
LaBarbara, E. J.
Brammer, M.
Trivedi, M.
Kupfer, D. J.
Phillips, M. L.
Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†
title Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†
title_full Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†
title_fullStr Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†
title_full_unstemmed Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†
title_short Pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†
title_sort pattern recognition analysis of anterior cingulate cortex blood flow to classify depression polarity†
topic Short Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3787302/
https://www.ncbi.nlm.nih.gov/pubmed/23969484
http://dx.doi.org/10.1192/bjp.bp.112.122838
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