Embarking on antidepressant response prediction using brain perfusion estimation

• Verfasst von: Sambataro, Fabio [VerfasserIn]
• Verfasst von: Wolf, Robert Christian [VerfasserIn]
• Titel: Embarking on antidepressant response prediction using brain perfusion estimation
• Verf.angabe: Fabio Sambataro, Robert Christian Wolf
• E-Jahr: 2019
• Jahr: 3 May 2019
• Umfang: 2 S.
• Fussnoten: Gesehen am 03.07.2020
• Titel Quelle: Enthalten in: EClinicalMedicine
• Ort Quelle: Amsterdam : Elsevier, 2018
• Jahr Quelle: 2019
• Band/Heft Quelle: 10(2019), Seite 4-5
• ISSN Quelle: 2589-5370
• DOI: doi:10.1016/j.eclinm.2019.04.008
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1694271463

Abstract

Major depressive disorder (MDD) is one of the most severe and disabling psychiatric - disorders. Although considered a single entity, this disorder is highly heterogeneous. - From the clinical standpoint, the polythetic definition of MDD allows hundreds of - possible symptoms combinations to meet the MDD criteria of the Diagnostic and Statistical - Manual of Mental Disorders (DSM-5) [1]. Furthermore, biological evidence supports - the idea of different neurophysiological subtypes of this disorder [2]. Antidepressant - drugs, although with different mechanisms of action, have been shown to be more efficacious - than placebo in treating MDD [3].