ArticleHuman brain mapping2021
The stage-specifically accelerated brain aging in never-treated first-episode patients with depression.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024Pooled it
- Accelerated Brain Aging in Adults With Major Depressive Disorder Predicts Poorer Outcome With Sertraline: Findings From the EMBARC Study.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2023Trial
- Brain aging patterns among nine neurological disorders: A case-control study.PLoS medicine · 2026Article
- EEG-based Signatures of Schizophrenia, Depression, and Aberrant Aging: A Supervised Machine Learning Investigation.Schizophrenia bulletin · 2025Article
- Accelerated brain aging in patients with major depressive disorder and its neurogenetic basis: evidence from neurotransmitters and gene expression profiles.Psychological medicine · 2025Article
- Functional and structural alterations in different durations of untreated illness in the frontal and parietal lobe in major depressive disorder.European archives of psychiatry and clinical neuroscience · 2024Article
- The Role of Puberty and Sex on Brain Structure in Adolescents With Anxiety Following Concussion.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2024Article
- Two distinct neuroanatomical subtypes of migraine without aura revealed by heterogeneity through discriminative analysis.Brain imaging and behavior · 2023Article
- Dynamic evolution of brain structural patterns in liver transplantation recipients: a longitudinal study based on 3D convolutional neuronal network model.European radiology · 2023Article
- Parsing altered gray matter morphology of depression using a framework integrating the normative model and non-negative matrix factorization.Nature communications · 2023Article
- Review
- Comparison of Machine Learning Models for Brain Age Prediction Using Six Imaging Modalities on Middle-Aged and Older Adults.Sensors (Basel, Switzerland) · 2023Article
- Editorial: Healthy aging, mental health, and sexuality.Frontiers in urology · 2023Article
- A large-scale ENIGMA multisite replication study of brain age in depression.Neuroimage. Reports · 2022Article
- Two distinct subtypes of obsessive compulsive disorder revealed by a framework integrating multimodal neuroimaging information.Human brain mapping · 2022Article
- Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants.Translational psychiatry · 2022Article
- Two distinct subtypes of obsessive compulsive disorder revealed by heterogeneity through discriminative analysis.Human brain mapping · 2022Article
- Structural and Functional Brain Changes in Patients With Classic Trigeminal Neuralgia: A Combination of Voxel-Based Morphometry and Resting-State Functional MRI Study.Frontiers in neuroscience · 2022Article
- Distinct profiles of functional connectivity density aberrance in Alzheimer's disease and mild cognitive impairment.Frontiers in psychiatry · 2022Article
- Accelerated Brain Aging in Patients With Obsessive-Compulsive Disorder.Frontiers in psychiatry · 2022Article
Corrections and comments
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Authors and funding
15 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Depression associated with structural brain abnormalities is hypothesized to be related with accelerated brain aging. However, there is far from a unified conclusion because of clinical variations such as medication status, cumulative illness burden. To explore whether brain age is accelerated in never-treated first-episode patients with depression and its association with clinical characteristics, we constructed a prediction model where gray matter volumes measured by voxel-based morphometry derived from T1-weighted MRI scans were treated as features. The prediction model was first validated using healthy controls (HCs) in two Chinese Han datasets (Dataset 1, N = 130 for HCs and N = 195 for patients with depression; Dataset 2, N = 270 for HCs) separately or jointly, then the trained prediction model using HCs (N = 400) was applied to never-treated first-episode patients with depression (N = 195). The brain-predicted age difference (brain-PAD) scores defined as the difference between predicted brain age and chronological age, were calculated for all participants and compared between patients with age-, gender-, educational level-matched HCs in Dataset 1. Overall, patients presented higher brain-PAD scores suggesting patients with depression having an "older" brain than expected. More specially, this difference occurred at illness onset (illness duration <3 months) and following 2 years then disappeared as the illness further advanced (>2 years) in patients. This phenomenon was verified by another data-driven method and significant correlation between brain-PAD scores and illness duration in patients. Our results reveal that accelerated brain aging occurs at illness onset and suggest it is a stage-dependent phenomenon in depression.
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