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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Detalles Bibliográficos
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
Descripción
Sumario: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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