Literature DB >> 33176359

Disentangling vulnerability, state and trait features of neurocognitive impairments in depression.

Yuen-Siang Ang1,2, Nicole Frontero2, Emily Belleau1,2, Diego A Pizzagalli1,2,3.   

Abstract

Depression is a debilitating disorder that often starts manifesting in early childhood and peaks in onset during adolescence. Neurocognitive impairments have emerged as clinically important characteristics of depression, but it remains controversial which domains specifically index pre-existing vulnerability, state-related or trait-related markers. Here, we disentangled these effects by analysing the Adolescent Brain Cognitive Development dataset (n = 4626). Using information of participants' current and past mental disorders, as well as family mental health history, we identified low-risk healthy (n = 2100), high-risk healthy (n = 2023), remitted depressed (n = 401) and currently depressed children (n = 102). Factor analysis of 11 cognitive variables was performed to elucidate latent structure and canonical correlation analyses conducted to probe regional brain volumes reliably associated with the cognitive factors. Bayesian model comparison of various a priori hypotheses differing in how low-risk healthy, high-risk healthy, remitted depressed and currently depressed children performed in various cognitive domains was performed. Factor analysis revealed three domains: language and reasoning, cognitive flexibility and memory recall. Deficits in language and reasoning ability, as well as in volumes of associated regions such as the middle temporal and superior frontal gyrus, represented state- and trait-related markers of depression but not pre-existing vulnerability. In contrast, there was no compelling evidence of impairments in other domains. These findings-although cross-sectional and specific to 9-10-year-old children-might have important clinical implications, suggesting that cognitive dysfunction may not be useful targets of preventive interventions. Depressed patients, even after remission, might also benefit from less commonly used treatments such as cognitive remediation therapy.
© The Author(s) (2020). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  affective disorders; child psychiatry; computational psychiatry; depression; imaging

Year:  2020        PMID: 33176359     DOI: 10.1093/brain/awaa314

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  4 in total

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Journal:  Front Neurosci       Date:  2022-06-24       Impact factor: 5.152

2.  Minding the Gap: Adolescent and Parent/Caregiver Reporter Discrepancies on Symptom Presence, Impact of Covariates, and Clinical Implications.

Authors:  Shannon H Ford; Thomas P McCoy
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3.  Hippocampal and Hippocampal-Subfield Volumes From Early-Onset Major Depression and Bipolar Disorder to Cognitive Decline.

Authors:  Niels Hansen; Aditya Singh; Claudia Bartels; Frederic Brosseron; Katharina Buerger; Arda C Cetindag; Laura Dobisch; Peter Dechent; Birgit B Ertl-Wagner; Klaus Fliessbach; John D Haynes; Michael T Heneka; Daniel Janowitz; Ingo Kilimann; Christoph Laske; Coraline D Metzger; Matthias H Munk; Oliver Peters; Josef Priller; Nina Roy; Klaus Scheffler; Anja Schneider; Annika Spottke; Eike J Spruth; Stefan Teipel; Maike Tscheuschler; Ruth Vukovich; Jens Wiltfang; Emrah Duezel; Frank Jessen; Roberto Goya-Maldonado
Journal:  Front Aging Neurosci       Date:  2021-04-21       Impact factor: 5.750

4.  Does cognitive behaviour therapy affect peripheral inflammation of depression? A protocol for the systematic review and meta-analysis.

Authors:  Bing Cao; Ruonan Li; Ling Ding; Jiatong Xu; Haijing Ma; Jie Liu; Jian Xue
Journal:  BMJ Open       Date:  2021-12-02       Impact factor: 2.692

  4 in total

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