Literature DB >> 25451432

An adaptationist perspective on the etiology of depression.

Zachary Durisko1, Benoit H Mulsant2, Paul W Andrews3.   

Abstract

Major depressive disorder (MDD) presents with a variety of symptoms and responds to a wide range of treatment interventions. Diagnostic criteria collapse multiple syndromes with distinct etiologies into the same disorder. MDD is typically understood as a malfunction of neurotransmission or brain circuitry regulating mood, pleasure and reward, or executive function. However, research from an evolutionary perspective suggests that the "normal" functioning of adaptations may also generate symptoms meeting diagnostic criteria. Functioning adaptations may be an underappreciated etiological pathway to MDD. Many adaptive functions for depressive symptoms have been suggested: biasing cognition to avoid losses, conserving energy, disengaging from unobtainable goals, signaling submission, soliciting resources, and promoting analytical thinking. We review the potential role of these adaptive functions and how they can lead to specific clusters of depressive symptoms. Understanding MDD from such a perspective reduces the heterogeneity of cases and may help to select the best intervention for each patient. We discuss the implications of different adaptive and maladaptive etiological pathways for the use of antidepressants and various modes of psychotherapy. In particular, instances of MDD caused by functioning adaptations may benefit most from treatments that support the adaptive function, or that target the precipitating causal stressor. We conclude that an evolutionary approach to the study of MDD may be one of the more promising approaches to reduce its heterogeneity and to better match patients and treatment.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Darwinian Medicine; Evolution; Evolutionary Psychiatry; Major depressive disorder

Mesh:

Substances:

Year:  2014        PMID: 25451432     DOI: 10.1016/j.jad.2014.09.032

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


  15 in total

1.  Individual Differences in Response to Antidepressants: A Meta-analysis of Placebo-Controlled Randomized Clinical Trials.

Authors:  Marta M Maslej; Toshiaki A Furukawa; Andrea Cipriani; Paul W Andrews; Benoit H Mulsant
Journal:  JAMA Psychiatry       Date:  2020-06-01       Impact factor: 21.596

Review 2.  The hierarchically mechanistic mind: an evolutionary systems theory of the human brain, cognition, and behavior.

Authors:  Paul B Badcock; Karl J Friston; Maxwell J D Ramstead; Annemie Ploeger; Jakob Hohwy
Journal:  Cogn Affect Behav Neurosci       Date:  2019-12       Impact factor: 3.282

Review 3.  Using Evolutionary Theory to Guide Mental Health Research.

Authors:  Zachary Durisko; Benoit H Mulsant; Kwame McKenzie; Paul W Andrews
Journal:  Can J Psychiatry       Date:  2016-02-12       Impact factor: 4.356

4.  Hallucinations and Delusions Signal Alzheimer's Associated Cognitive Dysfunction More Strongly Compared to Other Neuropsychiatric Symptoms.

Authors:  Joshua T Fuller; Tabina K Choudhury; Deborah A Lowe; Steve Balsis
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-10-16       Impact factor: 4.077

Review 5.  Application of Cognitive Bias Testing in Neuropsychiatric Disorders: A Mini-Review Based on Animal Studies.

Authors:  Yu-Han Zhang; Ning Wang; Xiao-Xiao Lin; Jin-Yan Wang; Fei Luo
Journal:  Front Behav Neurosci       Date:  2022-07-01       Impact factor: 3.617

6.  Atorvastatin ameliorates depressive behaviors and neuroinflammatory in streptozotocin-induced diabetic mice.

Authors:  Zhang Hai-Na; Yu Xu-Ben; Tang Cong-Rong; Cao Yan-Cheng; Yang Fan; Xu Lei-Mei; Sun Ruo-Lan; Wang Ye-Xuan; Liang Jing
Journal:  Psychopharmacology (Berl)       Date:  2019-11-30       Impact factor: 4.530

7.  Cognitive Behavior Therapy for Depression From an Evolutionary Perspective.

Authors:  Steven D Hollon; Paul W Andrews; J Anderson Thomson
Journal:  Front Psychiatry       Date:  2021-07-05       Impact factor: 4.157

8.  Readiness to change is a predictor of reduced substance use involvement: findings from a randomized controlled trial of patients attending South African emergency departments.

Authors:  Bronwyn Myers; Claire van der Westhuizen; Tracey Naledi; Dan J Stein; Katherine Sorsdahl
Journal:  BMC Psychiatry       Date:  2016-02-20       Impact factor: 3.630

9.  Adaptive and non-adaptive models of depression: A comparison using register data on antidepressant medication during divorce.

Authors:  Tom Rosenström; Tim W Fawcett; Andrew D Higginson; Niina Metsä-Simola; Edward H Hagen; Alasdair I Houston; Pekka Martikainen
Journal:  PLoS One       Date:  2017-06-14       Impact factor: 3.240

10.  Cross-sectional networks of depressive symptoms before and after antidepressant medication treatment.

Authors:  Fionneke M Bos; Eiko I Fried; Steven D Hollon; Laura F Bringmann; Sona Dimidjian; Robert J DeRubeis; Claudi L H Bockting
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2018-04-07       Impact factor: 4.328

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