ArticleFrontiers in psychiatry2023
Characteristics and correlation of gray matter volume and somatic symptoms in adolescent patients with depressive disorder.
Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Parsing Clinical and Neurobiological Sources of Heterogeneity in Depression.Biological psychiatry · 2025Article
- Gray matter structural alterations in first-episode drug-naïve adolescents with major depressive disorder: a comprehensive morphological analysis study.Psychological medicine · 2025Article
- Construction and verification of a predictive model for depression risk of patients with somatization symptoms.Frontiers in psychiatry · 2025Article
- Longitudinal association between somatic symptoms and suicidal ideation in adults with major depressive disorder.Frontiers in psychiatry · 2025Article
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Authors and funding
6 authors.
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Abstract
Background: Adolescent patients with depressive disorders commonly exhibit somatic symptoms, which have a significant negative impact on their treatment and prognosis. Despite this, specific brain imaging characteristics of these symptoms have been poorly studied. Methods: The Hamilton Depression Rating scale (HAMD-17), Children's Functional Somatization scale (CSI), and Toronto Alexithymia scale (TAS) were used to evaluate the clinical symptoms of adolescent depression. We analyzed the correlation between brain gray matter volume (GMV) and clinical symptoms in adolescent patients with depression and somatic symptoms. Results: The depression subgroups with and without functional somatic symptoms (FSS) had higher scores on the HAMD-17, CSI, and TAS than the normal control group. The group with FSS had higher HAMD-17, CSI, and TAS scores than the depression group without FSS ( Conclusion: Somatic symptoms of adolescent depressive disorder are associated with alexithymia; moreover, somatic symptoms and alexithymia in adolescent patients with depressive disorders are correlated with GMV changes in different brain regions.
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