ArticleBMC psychiatry2024
Brain structural and functional abnormalities in affective network are associated with anxious depression.
Article in BMC psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Functional brain alterations in anxious depression: Insights from whole-brain fMRI and meta-analysis.Dialogues in clinical neuroscience · 2026Pooled it
- Revealing dichotomous prior biases in social anxiety through a social prism model.PLoS computational biology · 2026Article
- The relationship between screen time and anxiety/depression symptoms in preschool children with autism spectrum disorder: the mediating role of cortical volume.BMC pediatrics · 2025Observational
- Diagnosis of adolescent depression with sleep disorder based on network topological attributes and functional connectivity.BMC psychiatry · 2025Article
- Brain Connectivity Estimation Network for the Identification of Dementia.Brain sciences · 2025Article
- Resolving heterogeneity in first-episode and drug-naive major depressive disorder based on individualized structural covariance network: evidence from the REST-meta-MDD consortium.Psychological medicine · 2025Article
- Structural brain alterations in patients with anxious depression: evidence from the REST-meta-MDD project.Frontiers in psychiatry · 2025Article
- Impulsivity in ADHD and Borderline Personality Disorder: A Systematic Review of Gray and White Matter Variations.Journal of clinical medicine · 2024Review
- Causality-Preserving Generative Adversarial Networks for the Diagnosis of Neurological Disorders.IET systems biologyArticle
- Peripheral pro-inflammatory cytokine levels are associated with brain structural atrophies in patients with anxious depression.International journal of clinical and health psychology : IJCHPArticle
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8 authors.
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Abstract
backgroundAnxious depression (AD) is a common subtype of major depressive disorder (MDD). Neuroimaging studies of AD have revealed inconsistent and heterogeneous brain alterations with the use of single-model methods. Therefore, it is necessary to explore the pathogenesis of AD using multi-model imaging analyses to obtain more homogeneous and robust results.
methodsOne hundred and eighty-two patients with MDD and 64 matched healthy controls (HCs) were recruited. Voxel-based morphometry (VBM) was used to estimate the gray matter volume (GMV) of all subjects. The GMV differences between the AD and non-anxious depression (NAD) participants were used as regions of interest (ROIs) for subsequent resting state functional connectivity (rs-FC) analyses. Correlation analysis was used to evaluate the associations between clinical symptoms and abnormal function in specific brain areas.
resultsDecreased GMV in the medial frontal gyrus (MFG) and the superior frontal gyrus (SFG) was observed in the AD group compared to the NAD group. Taking the MFG and SFG as ROIs, the rs-FC analysis revealed decreased FC between the left SFG and left temporal pole and between the left SFG and right MFG in the AD group compared to the NAD group. Finally, the FC between the left SFG and left temporal pole was negatively correlated with HAMD-17 scores in the AD group.
conclusionBy combining the GMV and rs-FC models, this study revealed that structural and functional disruption of the affective network may be an important pathophysiology underlying AD. The structural impairment may serve as the foundation of the functional impairment.
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