Literature DB >> 25710095

Cognitive and emotional biomarkers of melancholic depression: An iSPOT-D report.

Claire V Day1, Justine M Gatt2, Amit Etkin3, Charles DeBattista4, Alan F Schatzberg4, Leanne M Williams5.   

Abstract

BACKGROUND: Depressed patients with melancholic features have distinct impairments in cognition and anhedonia, but it remains unknown whether these impairments can be quantified on neurocognitive biomarker tests of behavioral performance. We compared melancholic major depressive disorder (MDD) patients to non-melancholic MDD patients and controls on a neurocognitive test battery that assesses eight general and emotional cognitive domains including the hypothesized decision-making and reward-threat perception.
METHODS: MDD outpatients (n=1008) were assessed using a computerized battery of tests. MDD participants met DSM-IV criteria for MDD and had a score ≥16 on the 17-item Hamilton Rating Scale for Depression. Melancholic MDD was defined using the Mini-International Neuropsychiatric Interview and a psychomotor disturbance observer-rated CORE measure score >7. Controls were age- and gender-matched with no previous DSM-IV or significant medical history.
RESULTS: Melancholic participants (33.7% of the MDD sample) exhibited significantly poorer performance than controls across each domain of cognitive function and for speed of emotion identification and implicit emotion priming. Compared to the non-melancholic group, specific disturbances were seen on tests of information speed, decision speed, and reward-relevant emotional processing of happy expressions, even after co-varying for symptom severity. LIMITATIONS: Assessments were taken at only one medication-free time point. Reward was investigated using an emotional faces task.
CONCLUSIONS: Melancholic MDD is distinguished by a specific neurocognitive marker profile consistent with reduced decision-making capacity under time demands and loss of reward sensitivity. This profile suggests an underlying deficit in mesolimbic-cortical circuitry for motivationally-directed behavior.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomarker; Cognition; Emotion; Major depressive disorder; Melancholic features; Reward

Mesh:

Year:  2015        PMID: 25710095     DOI: 10.1016/j.jad.2015.01.061

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


  7 in total

Review 1.  Opioid modulation of cognitive impairment in depression.

Authors:  Moriah L Jacobson; Hildegard A Wulf; Caroline A Browne; Irwin Lucki
Journal:  Prog Brain Res       Date:  2018-09-18       Impact factor: 2.453

2.  Latent variable analysis of positive and negative valence processing focused on symptom and behavioral units of analysis in mood and anxiety disorders.

Authors:  Martin P Paulus; Murray B Stein; Michelle G Craske; Susan Bookheimer; Charles T Taylor; Alan N Simmons; Natasha Sidhu; Katherine S Young; Boyang Fan
Journal:  J Affect Disord       Date:  2017-01-11       Impact factor: 4.839

3.  Anticipatory reward deficits in melancholia.

Authors:  Huiting Liu; Casey Sarapas; Stewart A Shankman
Journal:  J Abnorm Psychol       Date:  2016-05-12

4.  Transdiagnostic Symptom Clusters and Associations With Brain, Behavior, and Daily Function in Mood, Anxiety, and Trauma Disorders.

Authors:  Katherine A Grisanzio; Andrea N Goldstein-Piekarski; Michelle Yuyun Wang; Abdullah P Rashed Ahmed; Zoe Samara; Leanne M Williams
Journal:  JAMA Psychiatry       Date:  2018-02-01       Impact factor: 21.596

Review 5.  Cognitive Dysfunction in Major Depressive Disorder. A Translational Review in Animal Models of the Disease.

Authors:  Flavie Darcet; Alain M Gardier; Raphael Gaillard; Denis J David; Jean-Philippe Guilloux
Journal:  Pharmaceuticals (Basel)       Date:  2016-02-17

6.  Modeling Heterogeneous Brain Dynamics of Depression and Melancholia Using Energy Landscape Analysis.

Authors:  Paul Rossener Regonia; Masahiro Takamura; Takashi Nakano; Naho Ichikawa; Alan Fermin; Go Okada; Yasumasa Okamoto; Shigeto Yamawaki; Kazushi Ikeda; Junichiro Yoshimoto
Journal:  Front Psychiatry       Date:  2021-11-25       Impact factor: 4.157

7.  Prediction of Antidepressant Treatment Outcome Using Event-Related Potential in Patients with Major Depressive Disorder.

Authors:  Hyun Seo Lee; Seung Yeon Baik; Yong-Wook Kim; Jeong-Youn Kim; Seung-Hwan Lee
Journal:  Diagnostics (Basel)       Date:  2020-05-03
  7 in total

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