Literature DB >> 27156095

A meta-analysis of cognitive performance in melancholic versus non-melancholic unipolar depression.

Leonardo Zaninotto1, Marco Solmi2, Nicola Veronese3, Riccardo Guglielmo4, Lucia Ioime5, Giovanni Camardese4, Alessandro Serretti6.   

Abstract

BACKGROUND: Recently there is increasing recognition of cognitive dysfunction as a core feature of Major Depressive Disorder (MDD). The goal of the current meta-analysis was to review and examine in detail the specific features of cognitive dysfunction in Melancholic (MEL) versus Non-Melancholic (NMEL) MDD.
METHODS: An electronic literature search was performed to find studies comparing cognitive performance in MEL versus NMEL. A meta-analysis of broad cognitive domains (processing speed, reasoning/problem solving, verbal learning, visual learning, attention/working memory) was conducted on all included studies (n=9). Sensitivity and meta-regression analyses were also conducted to detect possible effects of moderator variables (age, gender, education, symptom severity and presence of treatments).
RESULTS: MEL patients were older and more severly depressed than NMEL subjects. The MEL group was characterized by a worse cognitive performance in attention/working memory (ES=-0.31), visual learning (ES=-0.35) and reasoning/problem solving (ES=-0.46). No difference was detected in drug-free patients by sensitivity analyses. No effect was found for any of our moderators on the cognitive performance in MEL vs NMEL.
CONCLUSION: Our findings seem to support a moderate but specific effect of melancholic features in affecting the cognitive performance of MDD, in particular as regards visual learning and executive functions.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cognitive; Depressive disorder; Major depression; Melancholic; Neuropsychology

Mesh:

Year:  2016        PMID: 27156095     DOI: 10.1016/j.jad.2016.04.039

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  12 in total

1.  Subtypes of depression and their overlap in a naturalistic inpatient sample of major depressive disorder.

Authors:  Richard Musil; Florian Seemüller; Sebastian Meyer; Ilja Spellmann; Mazda Adli; Michael Bauer; Klaus-Thomas Kronmüller; Peter Brieger; Gerd Laux; Wolfram Bender; Isabella Heuser; Robert Fisher; Wolfgang Gaebel; Rebecca Schennach; Hans-Jürgen Möller; Michael Riedel
Journal:  Int J Methods Psychiatr Res       Date:  2017-06-14       Impact factor: 4.035

2.  Heterogenous Subtypes of Late-Life Depression and Their Cognitive Patterns: A Latent Class Analysis.

Authors:  Li-Qi Wang; Tian-Hong Zhang; Wei Dang; Sha Liu; Zi-Li Fan; Li-Hui Tu; Ming Zhang; Hua-Ning Wang; Nan Zhang; Qin-Ying Ma; Ying Zhang; Hui-Zi Li; Lu-Chun Wang; Yao-Nan Zheng; Huali Wang; Xin Yu
Journal:  Front Psychiatry       Date:  2022-07-06       Impact factor: 5.435

3.  Depression and episodic memory across the adult lifespan: A meta-analytic review.

Authors:  Taylor A James; Samuel Weiss-Cowie; Zachary Hopton; Paul Verhaeghen; Vonetta M Dotson; Audrey Duarte
Journal:  Psychol Bull       Date:  2021-11       Impact factor: 23.027

4.  Hubness of strategic planning and sociality influences depressive mood and anxiety in College Population.

Authors:  Je-Yeon Yun; Yoobin Choi; Yoonhee Kwon; Hwa Young Lee; Soo-Hee Choi; Joon Hwan Jang
Journal:  Sci Rep       Date:  2017-12-19       Impact factor: 4.379

5.  Neuropsychological Performance in Alcohol Dependent Patients: A One-Year Longitudinal Study.

Authors:  Lucia Ioime; Riccardo Guglielmo; Giuseppe Fertonani Affini; Marianna Quatrale; Giovanni Martinotti; Antonino Callea; Evelina Savi; Luigi Janiri
Journal:  Psychiatry Investig       Date:  2018-04-20       Impact factor: 2.505

6.  Impact of Expression and Genetic Variation of microRNA-34b/c on Cognitive Dysfunction in Patients with Major Depressive Disorder.

Authors:  Ning Sun; Chunxia Yang; Xiaoting He; Zhifen Liu; Sha Liu; Xinrong Li; Yanfang Wang; Ruihua Jin; Kerang Zhang
Journal:  Neuropsychiatr Dis Treat       Date:  2020-06-19       Impact factor: 2.570

Review 7.  A Systematic Review of Executive Function and Information Processing Speed in Major Depression Disorder.

Authors:  Laura Nuño; Juana Gómez-Benito; Viviana R Carmona; Oscar Pino
Journal:  Brain Sci       Date:  2021-01-22

8.  Abnormal Default-Mode Network Homogeneity in Melancholic and Nonmelancholic Major Depressive Disorder at Rest.

Authors:  Meiqi Yan; Xilong Cui; Feng Liu; Huabing Li; Renzhi Huang; Yanqing Tang; Jindong Chen; Jingping Zhao; Guangrong Xie; Wenbin Guo
Journal:  Neural Plast       Date:  2021-04-26       Impact factor: 3.599

9.  Differentiating Melancholic and Non-melancholic Major Depressive Disorder Using Fractional Amplitude of Low-Frequency Fluctuations.

Authors:  Yingying Zhang; Xilong Cui; Yangpan Ou; Feng Liu; Huabing Li; Jindong Chen; Jingping Zhao; Guangrong Xie; Wenbin Guo
Journal:  Front Psychiatry       Date:  2022-02-02       Impact factor: 4.157

Review 10.  Evaluating endophenotypes for bipolar disorder.

Authors:  Riccardo Guglielmo; Kamilla Woznica Miskowiak; Gregor Hasler
Journal:  Int J Bipolar Disord       Date:  2021-05-27
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