Back to Search Start Over

Cognition in depression: Can we THINC-it better?

Authors :
Baune BT
Malhi GS
Morris G
Outhred T
Hamilton A
Das P
Bassett D
Berk M
Boyce P
Lyndon B
Mulder R
Parker G
Singh AB
Source :
Journal of affective disorders [J Affect Disord] 2018 Jan 01; Vol. 225, pp. 559-562. Date of Electronic Publication: 2017 Aug 30.
Publication Year :
2018

Abstract

Background: Cognitive compromise is a common experience for patients with depression and other mood disorders. Depressed patients sustain deficits in working memory and attentional distortions in emotional processing and negative attention biases, which may contribute to maintaining their depressive state.<br />Methods: The Mood Assessment and Classification (MAC) Committee comprised academic psychiatrists with clinical expertise in the management of mood disorders. The independently convened committee met to discuss contentious aspects of mood disorders diagnosis and assessment with the express aim of informing clinical practice and future research.<br />Results: The Committee specifically identified cognition as an important aspect for clinicians to consider in the context of depression and mood disorders. This article highlights some of the barriers to assessment and proposes tools that have the potential to be implemented in clinical practice.<br />Limitations: The conclusions drawn within this article are based on expert opinion. We have noted the limitations of the literature that informs this opinion.<br />Conclusions: As cognitive ability has been closely linked to patients' ability to achieve functional recovery, it is imperative that clinicians are able to identify patients with cognitive deficits and are equipped with tools to conduct effective cognitive assessments. Examining cognitive factors may generate a deeper understanding of the pathogenesis of depression and mood disorders which can ultimately be used to inform treatment.<br /> (Copyright © 2017 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1573-2517
Volume :
225
Database :
MEDLINE
Journal :
Journal of affective disorders
Publication Type :
Academic Journal
Accession number :
28869910
Full Text :
https://doi.org/10.1016/j.jad.2017.08.080