Literature DB >> 30554129

Relationship between depressive symptom severity and amygdala volume in a large community-based sample.

Shivani Daftary1, Erin Van Enkevort2, Alexandra Kulikova2, Michael Legacy3, E Sherwood Brown4.   

Abstract

Amygdala is an affective processing center that regulates and assigns valence to different emotions and has been implicated in the pathophysiology of mood disorders. This population-based study employed a community sample of 1747 adults to examine relationships between amygdala volume and depressive symptom severity. Neuroimaging data from participants in the Dallas Heart Study were used. Magnetic resonance images of right, left, and total amygdala volume were used as response variables in multiple regressions. Predictor variables included Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) scores, intracranial volume, age, gender, race/ethnicity, body mass index, self-reported alcohol use, years of education, and psychotropic medication use. In the overall sample, QIDS-SR scores were not significantly related to left, right or total amygdala volume. A significant QIDS-SR by age interaction was observed, thus a follow-up subgroup analysis was conducted in age groups 18-39, 40-59, and ≥ 960. A significant negative relationship was observed between QIDS-SR scores and right and total, but not left, amygdala volume in the 18-39 age group but not in other age groups. Significant relationship between QIDS-SR scores and amygdala volume in young adults suggests possible biological differences in depressive symptoms in people of this age group.
Copyright © 2018. Published by Elsevier B.V.

Entities:  

Keywords:  Amygdala; Anxiety; Brain volume; Dallas Heart Study; Depressive symptom severity

Mesh:

Year:  2018        PMID: 30554129     DOI: 10.1016/j.pscychresns.2018.12.005

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.376


  4 in total

1.  Anterior cingulate cortex in individuals with depressive symptoms: A structural MRI study.

Authors:  Hicham M Ibrahim; Alexandra Kulikova; Huy Ly; A John Rush; E Sherwood Brown
Journal:  Psychiatry Res Neuroimaging       Date:  2021-11-26       Impact factor: 2.376

2.  Functional brain activity constrained by structural connectivity reveals cohort-specific features for serum neurofilament light chain.

Authors:  Saurabh Sihag; Sébastien Naze; Foad Taghdiri; Melisa Gumus; Charles Tator; Robin Green; Brenda Colella; Kaj Blennow; Henrik Zetterberg; Luis Garcia Dominguez; Richard Wennberg; David J Mikulis; Maria C Tartaglia; James R Kozloski
Journal:  Commun Med (Lond)       Date:  2022-01-17

3.  Transcriptome-based polygenic score links depression-related corticolimbic gene expression changes to sex-specific brain morphology and depression risk.

Authors:  Amy E Miles; Fernanda C Dos Santos; Enda M Byrne; Miguel E Renteria; Andrew M McIntosh; Mark J Adams; Giorgio Pistis; Enrique Castelao; Martin Preisig; Bernhard T Baune; K Oliver Schubert; Cathryn M Lewis; Lisa A Jones; Ian Jones; Rudolf Uher; Jordan W Smoller; Roy H Perlis; Douglas F Levinson; James B Potash; Myrna M Weissman; Jianxin Shi; Glyn Lewis; Brenda W J H Penninx; Dorret I Boomsma; Steven P Hamilton; Etienne Sibille; Ahmad R Hariri; Yuliya S Nikolova
Journal:  Neuropsychopharmacology       Date:  2021-09-29       Impact factor: 7.853

4.  Accelerated Aging of the Amygdala in Alcohol Use Disorders: Relevance to the Dark Side of Addiction.

Authors:  Dardo Tomasi; Corinde E Wiers; Peter Manza; Ehsan Shokri-Kojori; Yonga Michele-Vera; Rui Zhang; Danielle Kroll; Dana Feldman; Katherine McPherson; Catherine Biesecker; Melanie Schwandt; Nancy Diazgranados; George F Koob; Gene-Jack Wang; Nora D Volkow
Journal:  Cereb Cortex       Date:  2021-06-10       Impact factor: 4.861

  4 in total

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