Multi-time scale dynamic effective brain networks reveal accelerated brain aging in individuals with major depressive disorder.
Abstract
Estimating brain age, a promising biomarker for evaluating brain health, continues to present significant challenges in terms of accuracy. This study investigates the potential of multi-time scale dynamic effective brain networks (MTS-DEBN) to enhance the prediction of brain age and to identify atypical aging patterns associated with major depressive disorder (MDD) using resting-state functional magnetic resonance imaging (rs-fMRI).
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Research summary
The study claims that multi-time scale dynamic effective brain networks can enhance the prediction of brain age and identify atypical aging patterns in individuals with major depressive disorder. This research is relevant as it explores brain aging mechanisms, which could contribute to understanding the biological underpinnings of aging and age-related diseases.
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