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Can I read Accelerated Brain Aging Predicts Impulsivity and Symptom Severity in Depression on EtoBox?
Accelerated Brain Aging Predicts Impulsivity and Symptom Severity in Depression by Katharine Dunlop; Lindsay W. Victoria; Jonathan Downar; Faith M. Gunning; Conor Liston is a Neuroscience article available to read on EtoBox.
What is Accelerated Brain Aging Predicts Impulsivity and Symptom Severity in Depression about?
Multiple structural and functional neuroimaging measures vary over the course of the lifespan and can be used to predict chronological age. Accelerated brain aging, as quantified by deviations in the MRI-based predicted age with respect to chronological age, is associated with risk for neurodegenerative conditions, bipolar disorder, and mortality. Whether age-related changes in resting-state functional connectivity are accelerated in major depressive disorder (MDD) is unknown, and, if so, it is unclear if these changes contribute to specific cognitive weaknesses that often occur in MDD. Here, we delineated age-related functional connectivity changes in a large sample of normal control subjects and tested whether brain aging is accelerated in MDD. Furthermore, we tested whether accelerated brain aging predicts individual differences in cognitive function. We trained a support vector regression model predicting age using resting-state functional connectivity in 710 healthy adults aged 18-89. We applied this model trained on normal aging subjects to a sample of actively depressed MDD participants (n = 109). The difference between predicted brain age and chronological age was 2.11 year
Who reads Accelerated Brain Aging Predicts Impulsivity and Symptom Severity in Depression?
It is typically read by researchers, students, and practitioners in Neuroscience.
- Author
- Katharine Dunlop; Lindsay W. Victoria; Jonathan Downar; Faith M. Gunning; Conor Liston
- Publisher
- Springer Science and Business Media LLC
- Published
- 2021
- Language
- EN
- Field
- Neuroscience (Life Sciences)