Literature DB >> 34695702

Association between frontal cortico-limbic white-matter microstructure and risk for pediatric depression.

Mai Uchida1, Yuwen Hung2, Allison Green3, Caroline Kelberman3, James Capella2, Schuylar L Gaillard2, John D E Gabrieli2, Joseph Biederman4.   

Abstract

This study aimed to identify white-matter microstructural characteristics associated with risk for pediatric major depressive disorder (MDD) measured by the Child Behavior Checklist (CBCL) Anxiety/Depression scores. Children (N = 32) of both sexes, aged 6-12, underwent T1-weighted whole-head anatomical and diffusion-weighted imaging. Each participant's mean diffusion measure image was generated and thinned to create an alignment-invariant tract representation. Voxel-wise analysis on the resulting map was carried out in Track Based Spatial Statistics (TBSS) using general linear models by regressing the CBCL-Anxiety/Depression score against measures of diffusion tensor imaging (DTI). We also compared these results with prior DTI findings from the same children associated with CBCL-Emotion Dysregulation profile, an indicator for bipolar disorder. TBSS voxel-wise analysis showed a significant negative correlation between fractional anisotropy (FA) and CBCL-Anxiety/Depression scores localized in the right anterior cingulum and connected corpus callosal region. The negative FA correlations in these regions were greater in CBCL-Anxiety/ Depression scores compared to CBCL-Emotional Dysregulation scores. Reduced white-matter connectivity in the anterior cingulum and connected corpus callosal region may represent a biomarker of risk for pediatric MDD. These results may help identify brain differences associated with the development of MDD, and assist with earlier clinical identification of pediatric MDD.
Copyright © 2021. Published by Elsevier B.V.

Entities:  

Keywords:  Bipolar disorder; Child behavior checklist; Diffusion tensor imaging; Emotional dysregulation; Major depressive disorder; Pediatric depression; White matter

Mesh:

Year:  2021        PMID: 34695702      PMCID: PMC9073702          DOI: 10.1016/j.pscychresns.2021.111396

Source DB:  PubMed          Journal:  Psychiatry Res Neuroimaging        ISSN: 0925-4927            Impact factor:   2.493


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