Literature DB >> 26688287

Mood disorders: neurocognitive models.

Gin S Malhi1,2,3, Yulisha Byrow1,2,3, Kristina Fritz1,2,3, Pritha Das1,2,3, Bernhard T Baune4, Richard J Porter5, Tim Outhred1,2,3.   

Abstract

OBJECTIVES: In recent years, a number of neurocognitive models stemming from psychiatry and psychology schools of thought have conceptualized the pathophysiology of mood disorders in terms of dysfunctional neural mechanisms that underpin and drive neurocognitive processes. Though these models have been useful for advancing our theoretical understanding and facilitating important lines of research, translation of these models and their application within the clinical arena have been limited-partly because of lack of integration and synthesis. Cognitive neuroscience provides a novel perspective for understanding and modeling mood disorders. This selective review of influential neurocognitive models develops an integrative approach that can serve as a template for future research and the development of a clinically meaningful framework for investigating, diagnosing, and treating mood disorders.
METHODS: A selective literature search was conducted using PubMed and PsychINFO to identify prominent neurobiological and neurocognitive models of mood disorders.
RESULTS: Most models identify similar neural networks and brain regions and neuropsychological processes in the neurocognition of mood, however, they differ in terms of specific functions attached to neural processes and how these interact. Furthermore, cognitive biases, reward processing and motivation, rumination, and mood stability, which play significant roles in the manner in which attention, appraisal, and response processes are deployed in mood disorders, are not sufficiently integrated. The inclusion of interactions between these additional components enhances our understanding of the etiology and pathophysiology of mood disorders.
CONCLUSIONS: Through integration of key cognitive functions and understanding of how these interface with neural functioning within neurocognitive models of mood disorders, a framework for research can be created for translation to diagnosis and treatment of mood disorders.
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  bipolar disorder; cognition; emotion; major depressive disorder; mood disorders; neural; neurocognition; pathophysiology

Mesh:

Year:  2015        PMID: 26688287     DOI: 10.1111/bdi.12353

Source DB:  PubMed          Journal:  Bipolar Disord        ISSN: 1398-5647            Impact factor:   6.744


  11 in total

Review 1.  Therapeutic Mechanisms of Lithium in Bipolar Disorder: Recent Advances and Current Understanding.

Authors:  Gin S Malhi; Tim Outhred
Journal:  CNS Drugs       Date:  2016-10       Impact factor: 5.749

Review 2.  Associations between cannabis use, cannabis use disorder, and mood disorders: longitudinal, genetic, and neurocognitive evidence.

Authors:  Lauren Kuhns; Emese Kroon; Karis Colyer-Patel; Janna Cousijn
Journal:  Psychopharmacology (Berl)       Date:  2021-11-06       Impact factor: 4.415

Review 3.  Glutamate and Gamma-Aminobutyric Acid Systems in the Pathophysiology of Major Depression and Antidepressant Response to Ketamine.

Authors:  Marc S Lener; Mark J Niciu; Elizabeth D Ballard; Minkyung Park; Lawrence T Park; Allison C Nugent; Carlos A Zarate
Journal:  Biol Psychiatry       Date:  2016-05-12       Impact factor: 13.382

4.  Association of Lipid Peroxidation and Brain-Derived Neurotrophic Factor with Executive Function in Adolescent Bipolar Disorder.

Authors:  Dwight F Newton; Melanie R Naiberg; Ana C Andreazza; Gustavo Scola; Daniel P Dickstein; Benjamin I Goldstein
Journal:  Psychopharmacology (Berl)       Date:  2016-12-12       Impact factor: 4.530

5.  Association of brain white matter microstructure with cognitive performance in major depressive disorder and healthy controls: a diffusion-tensor imaging study.

Authors:  Susanne Meinert; Nico Nowack; Dominik Grotegerd; Jonathan Repple; Nils R Winter; Isabel Abheiden; Verena Enneking; Hannah Lemke; Lena Waltemate; Frederike Stein; Katharina Brosch; Simon Schmitt; Tina Meller; Julia-Katharina Pfarr; Kai Ringwald; Olaf Steinsträter; Marius Gruber; Igor Nenadić; Axel Krug; Elisabeth J Leehr; Tim Hahn; Katharina Thiel; Katharina Dohm; Alexandra Winter; Nils Opel; Ricarda I Schubotz; Tilo Kircher; Udo Dannlowski
Journal:  Mol Psychiatry       Date:  2021-10-25       Impact factor: 13.437

6.  More Resilience in Males with Probable Bipolar Depression than Probable Unipolar Depression among Korean Conscripts.

Authors:  Ji-Yeong Seo; Dawon Lee; Dongyun Lee; Boseok Cha; Chul-Soo Park; Bong-Jo Kim; Cheol-Soon Lee; So-Jin Lee; In-Young Ahn; Jae-Won Choi
Journal:  Psychiatry Investig       Date:  2017-09-11       Impact factor: 2.505

7.  Precision biomarkers for mood disorders based on brain imaging.

Authors:  Runsen Chen; Zaixu Cui; Liliana Capitão; Gang Wang; Theodore D Satterthwaite; Catherine Harmer
Journal:  BMJ       Date:  2020-10-09

8.  Dopaminergic mechanisms in memory consolidation and antidepressant reversal of a chronic mild stress-induced cognitive impairment`.

Authors:  Mariusz Papp; Piotr Gruca; Magdalena Lason-Tyburkiewicz; Ewa Litwa; Monika Niemczyk; Katarzyna Tota-Glowczyk; Paul Willner
Journal:  Psychopharmacology (Berl)       Date:  2017-05-31       Impact factor: 4.530

9.  Does Cognitive Dysfunction in Bipolar Disorder Qualify as a Diagnostic Intermediate Phenotype?-A Perspective Paper.

Authors:  Lars Vedel Kessing; Kamilla Miskowiak
Journal:  Front Psychiatry       Date:  2018-10-08       Impact factor: 4.157

10.  AMPA receptors mediate the pro-cognitive effects of electrical and optogenetic stimulation of the medial prefrontal cortex in antidepressant non-responsive Wistar-Kyoto rats.

Authors:  Mariusz Papp; Piotr Gruca; Magdalena Lason; Ewa Litwa; Wojciech Solecki; Paul Willner
Journal:  J Psychopharmacol       Date:  2020-11-17       Impact factor: 4.153

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