Literature DB >> 32889511

Structural abnormalities associated with poor outcome of a major depressive episode: The role of thalamus.

J M Batail1, J Coloigner2, M Soulas3, G Robert4, C Barillot2, D Drapier4.   

Abstract

An identification of precise biomarkers contributing to poor outcome of a major depressive episode (MDE) has the potential to improve therapeutic strategies by reducing time to symptomatic relief. In a cross-sectional volumetric study with a 6 month clinical follow-up, we performed baseline brain grey matter volume analysis between 2 groups based on illness improvement: 27 MDD patients in the "responder" (R) group (Clinical Global Impression- Improvement (CGI-I) score ≤ 2) and 30 in the "non-responder" (NR) group (CGI-I > 2), using a Voxel Based-Morphometry analysis. NR had significantly smaller Grey Matter (GM) volume in the bilateral thalami, in precentral gyrus, middle temporal gyrus, precuneus and middle cingulum compared to R at baseline. Additionally, they exhibited significant greater GM volume increase in the left anterior lobe of cerebellum and posterior cingulate cortex. The latter result was not significant when participants with bipolar disorder were excluded from the analysis. NR group had higher baseline anxiety scores. Our study has pointed out the role of thalamus in prognosis of MDE. These findings highlight the involvement of emotion regulation in the outcome of MDE. The present study provides a step towards the understanding of neurobiological processes of treatment resistant depression.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Grey Matter; Major depressive episode; Mood disorders; Neuroimaging; Thalamus; Treatment-resistance

Mesh:

Year:  2020        PMID: 32889511     DOI: 10.1016/j.pscychresns.2020.111158

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


  2 in total

1.  Gray Matter Volume of Thalamic Nuclei in Traumatized North Korean Refugees.

Authors:  Jiye Lee; Nambeom Kim; Hyunwoo Jeong; Jin Yong Jun; So Young Yoo; So Hee Lee; Jooyoung Lee; Yu Jin Lee; Seog Ju Kim
Journal:  Front Psychiatry       Date:  2022-04-28       Impact factor: 5.435

2.  Treatment Response Prediction for Major Depressive Disorder Patients via Multivariate Pattern Analysis of Thalamic Features.

Authors:  Hanxiaoran Li; Sutao Song; Donglin Wang; Danning Zhang; Zhonglin Tan; Zhenzhen Lian; Yan Wang; Xin Zhou; Chenyuan Pan; Yue Wu
Journal:  Front Comput Neurosci       Date:  2022-06-01       Impact factor: 3.387

  2 in total

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