Literature DB >> 28038362

Brain connectivity networks and longitudinal trajectories of depression symptoms in adolescence.

Rachel Ellis1, Marc L Seal2, Christopher Adamson3, Richard Beare4, Julian G Simmons5, Sarah Whittle5, Nicholas B Allen6.   

Abstract

High levels of depression during adolescence may contribute to the risk for future depression later in life. This study examined the relationship between the developmental timing of depressive symptoms, and brain structural outcomes in late adolescence. In a prior work, we examined longitudinal trajectories of depressive symptoms in 243 adolescents (121 males and 122 females), and identified four subgroups: a normative group with stable low levels of depression, two groups with declining symptoms, and one group with increasing symptoms. For the current paper, diffusion-weighted MRI images were acquired at the final wave of the study, and used to perform white matter tractography and brain network analysis. The four depression trajectory groups were tested for differences in brain connectivity variables. This revealed differences in several frontal and temporal regions. The groups that had experienced elevated depression symptoms in early adolescence differed from the normative group in a greater number of areas than the group who had experienced depression later. Affected tracts corresponded to areas of white matter that are still maturing during this period, particularly frontolimbic regions. These findings support the proposition that the timing and duration of depression symptoms during adolescence are associated with brain structural outcomes.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Adolescent Development; Brain connectomics; Diffusion tractography

Mesh:

Year:  2016        PMID: 28038362     DOI: 10.1016/j.pscychresns.2016.12.010

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


  4 in total

1.  Association of lifetime major depressive disorder with enhanced attentional sensitivity measured with P3 response in young adult twins.

Authors:  Sini M Koskinen; Jyrki Ahveninen; Teija Kujala; Jaakko Kaprio; Brian F O'Donnell; Daria Osipova; Richard J Viken; Risto Näätänen; Richard J Rose
Journal:  Biol Psychol       Date:  2022-05-05       Impact factor: 3.111

2.  Girls' brain structural connectivity in late adolescence relates to history of depression symptoms.

Authors:  Rajpreet Chahal; David G Weissman; Scott Marek; Shawn A Rhoads; Alison E Hipwell; Erika E Forbes; Kate Keenan; Amanda E Guyer
Journal:  J Child Psychol Psychiatry       Date:  2019-12-26       Impact factor: 8.982

3.  MRI Insights Into Adolescent Neurocircuitry-A Vision for the Future.

Authors:  Olga Tymofiyeva; Vivian X Zhou; Chuan-Mei Lee; Duan Xu; Christopher P Hess; Tony T Yang
Journal:  Front Hum Neurosci       Date:  2020-07-07       Impact factor: 3.169

4.  Application of machine learning to structural connectome to predict symptom reduction in depressed adolescents with cognitive behavioral therapy (CBT).

Authors:  Olga Tymofiyeva; Justin P Yuan; Chiung-Yu Huang; Colm G Connolly; Eva Henje Blom; Duan Xu; Tony T Yang
Journal:  Neuroimage Clin       Date:  2019-07-02       Impact factor: 4.881

  4 in total

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