| Literature DB >> 33561786 |
Helmet T Karim1, Maria Ly2, Gary Yu3, Robert Krafty4, Dana L Tudorascu5, Howard J Aizenstein6, Carmen Andreescu7.
Abstract
Older adults with anxiety have lower gray matter brain volume-a component of accelerated aging. We have previously validated a machine learning model to predict brain age, an estimate of an individual's age based on voxel-wise gray matter images. We investigated associations between brain age and anxiety, depression, stress, and emotion regulation. We recruited 78 participants (≥50 years) along a wide range of worry severity. We collected imaging data and computed voxel-wise gray matter images, which were input into an existing machine learning model to estimate brain age. We conducted a multivariable linear regression between brain age and age, sex, race, education, worry, anxiety, depression, rumination, neuroticism, stress, reappraisal, and suppression. We found that greater brain age was significantly associated with greater age, male sex, greater worry, greater rumination, and lower suppression. Male sex, worry, and rumination are associated with accelerated aging in late life and expressive suppression may have a protective effect. These results provide evidence for the transdiagnostic model of negative repetitive thoughts, which are associated with cognitive decline, amyloid, and tau. Published by Elsevier Inc.Entities:
Keywords: Accelerated aging; Anxiety; Brain age; Generalized anxiety disorder; Late life; Rumination; Worry
Mesh:
Year: 2021 PMID: 33561786 PMCID: PMC8122027 DOI: 10.1016/j.neurobiolaging.2021.01.009
Source DB: PubMed Journal: Neurobiol Aging ISSN: 0197-4580 Impact factor: 4.673