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Decreased cortical gyrification in major depressive disorder

Research output: Contribution to journalArticlepeer-review

Abstract

Background Early neurodevelopmental deviations, such as abnormal cortical folding patterns, are candidate biomarkers of major depressive disorder (MDD). We aimed to investigate the association of MDD with the local gyrification index (LGI) in each cortical region at the whole-brain level, and the association of the LGI with clinical characteristics of MDD. Methods We obtained T1-weighted images from 234 patients with MDD and 215 healthy controls (HCs). The LGI values from 66 cortical regions in the bilateral hemispheres were automatically calculated according to the Desikan-Killiany atlas. We compared the LGI values between the MDD and HC groups using analysis of covariance, including age, sex, and years of education as covariates. The association between the clinical characteristics and LGI values was investigated in the MDD group. Results Compared with HCs, patients with MDD showed significantly decreased LGI values in the cortical regions, including the bilateral ventrolateral and dorsolateral prefrontal cortices, medial and lateral orbitofrontal cortices, insula, right rostral anterior cingulate cortex, and several temporal and parietal regions, with the largest effect size in the left pars triangularis (Cohen's f2 = 0.361; p = 1.78 × 10-13). Regarding the association of clinical characteristics with LGIs within the MDD group, recurrence and longer illness duration were associated with increased gyrification in several occipital and temporal regions, which showed no significant difference in LGIs between the MDD and HC groups. Conclusions These findings suggest that the LGI may be a relatively stable neuroimaging marker associated with MDD predisposition.

Original languageEnglish
Pages (from-to)7512-7524
Number of pages13
JournalPsychological Medicine
Volume53
Issue number16
DOIs
Publication statusPublished - 2023 Dec 8

Bibliographical note

Publisher Copyright:
Copyright © The Author(s), 2023. Published by Cambridge University Press.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Brain magnetic resonance imaging
  • cortical folding
  • depression
  • local gyrification index
  • major depressive disorder

ASJC Scopus subject areas

  • Applied Psychology
  • Psychiatry and Mental health

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