Functional dysconnectivity in youth depression: Systematic review, meta-analysis, and network-based integration

Nga Yan Tse; Aswin Ratheesh; Saampras Ganesan; Andrew Zalesky; Robin F H Cash

doi:10.1016/j.neubiorev.2023.105394

Functional dysconnectivity in youth depression: Systematic review, meta-analysis, and network-based integration

Neurosci Biobehav Rev. 2023 Oct:153:105394. doi: 10.1016/j.neubiorev.2023.105394. Epub 2023 Sep 20.

Authors

Nga Yan Tse¹, Aswin Ratheesh², Saampras Ganesan³, Andrew Zalesky³, Robin F H Cash³

Affiliations

¹ Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia. Electronic address: ngayant@student.unimelb.edu.au.
² Orygen, Melbourne, Australia; Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia.
³ Melbourne Neuropsychiatry Centre, Department of Psychiatry, Melbourne Medical School, The University of Melbourne, Melbourne, Australia; Department of Biomedical Engineering, Faculty of Engineering and Information Technology, The University of Melbourne, Melbourne, Australia.

PMID: 37739327
DOI: 10.1016/j.neubiorev.2023.105394

Abstract

Youth depression has been associated with heterogenous patterns of aberrant brain connectivity. To make sense of these divergent findings, we conducted a systematic review encompassing 19 resting-state fMRI seed-to-whole-brain studies (1400 participants, comprising 795 youths with major depression and 605 matched healthy controls). We incorporated separate meta-analyses of connectivity abnormalities across the levels of the most commonly seeded brain networks (default-mode and limbic networks) and, based on recent additions to the literature, an updated meta-analysis of amygdala dysconnectivity in youth depression. Our findings indicated broad and distributed findings at an anatomical level, which could not be captured by conventional meta-analyses in terms of spatial convergence. However, we were able to parse the complexity of region-to-region dysconnectivity by considering constituent regions as components of distributed canonical brain networks. This integration revealed dysconnectivity centred on central executive, default mode, salience, and limbic networks, converging with findings from the adult depression literature and suggesting similar neurobiological underpinnings of youth and adult depression.

Keywords: Activation Likelihood Estimation; Adolescent depression; Functional connectivity; Functional network; Meta-analysis; Network-based mapping; Resting-state functional MRI; Seed-based d Mapping; Systematic review; Youth depression.

Publication types

Review