ArticleFrontiers in aging neuroscience2021
Age-Related Decrease in Default-Mode Network Functional Connectivity Is Accelerated in Patients With Major Depressive Disorder.
Article in Frontiers in aging neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 22 citations in OpenAlex.
- Association between usage intensity of short video platforms and altered brain function: a resting-state functional magnetic resonance imaging study.Frontiers in human neuroscience · 2026Article
- Longitudinal tractography of the mouse corpus callosum reveals topographical order and differences due to sex and aging.Brain structure & function · 2025Article
- Abnormal functional network connectivity mediates the relationship between depressive symptoms and cognitive decline in late-onset depression.Psychological medicine · 2025Article
- Aberrant Flexibility of Dynamic Brain Network in Patients with Autism Spectrum Disorder.Bioengineering (Basel, Switzerland) · 2024Article
- Sex differences in human brain networks in normal and psychiatric populations from the perspective of small-world properties.Frontiers in psychiatry · 2024Review
- Relative brain age is associated with socioeconomic status and anxiety/depression problems in youth.Developmental psychology · 2024Article
- Evaluating test-retest reliability and sex-/age-related effects on temporal clustering coefficient of dynamic functional brain networks.Human brain mapping · 2023Article
- Temporal Stability of the Dynamic Resting-State Functional Brain Network: Current Measures, Clinical Research Progress, and Future Perspectives.Brain sciences · 2023Article
- Temporal Stability of Dynamic Default Mode Network Connectivity Negatively Correlates with Suicidality in Major Depressive Disorder.Brain sciences · 2022Article
- Problematic smartphone use is associated with differences in static and dynamic brain functional connectivity in young adults.Frontiers in neuroscience · 2022Article
- Predicting age from resting-state scalp EEG signals with deep convolutional neural networks on TD-brain dataset.Frontiers in aging neuroscience · 2022Article
- Childhood trauma is linked to abnormal static-dynamic brain topology in adolescents with major depressive disorder.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Major depressive disorder (MDD) is a common psychiatric disorder which is associated with an accelerated biological aging. However, little is known whether such process would be reflected by a more rapid aging of the brain function. In this study, we tested the hypothesis that MDD would be characterized by accelerated aging of the brain's default-mode network (DMN) functions. Resting-state functional magnetic resonance imaging data of 971 MDD patients and 902 healthy controls (HCs) was analyzed, which was drawn from a publicly accessible, multicenter dataset in China. Strength of functional connectivity (FC) and temporal variability of dynamic functional connectivity (dFC) within the DMN were calculated. Age-related effects on FC/dFC were estimated by linear regression models with age, diagnosis, and diagnosis-by-age interaction as variables of interest, controlling for sex, education, site, and head motion effects. The regression models revealed (1) a significant main effect of age in the predictions of both FC strength and dFC variability; and (2) a significant main effect of diagnosis and a significant diagnosis-by-age interaction in the prediction of FC strength, which was driven by stronger negative correlation between age and FC strength in MDD patients. Our results suggest that (1) both healthy participants and MDD patients experience decrease in DMN FC strength and increase in DMN dFC variability along age; and (2) age-related decrease in DMN FC strength may occur at a faster rate in MDD patients than in HCs. However, further longitudinal studies are still needed to understand the causation between MDD and accelerated aging of brain.
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