BrainAGE, brain health, and mental disorders: A systematic review
The imaging-based method of brainAGE aims to characterize an individual's vulnerability to
age-related brain changes. The present study systematically reviewed brainAGE findings in …
age-related brain changes. The present study systematically reviewed brainAGE findings in …
[HTML][HTML] Gut microbiome predicts cognitive function and depressive symptoms in late life
Depression in older adults with cognitive impairment increases progression to dementia.
Microbiota is associated with current mood and cognition, but the extent to which it predicts …
Microbiota is associated with current mood and cognition, but the extent to which it predicts …
[HTML][HTML] Brain age prediction using combined deep convolutional neural network and multi-layer perceptron algorithms
Y Joo, E Namgung, H Jeong, I Kang, J Kim, S Oh… - Scientific Reports, 2023 - nature.com
The clinical applications of brain age prediction have expanded, particularly in anticipating
the onset and prognosis of various neurodegenerative diseases. In the current study, we …
the onset and prognosis of various neurodegenerative diseases. In the current study, we …
[HTML][HTML] Advanced structural brain aging in preclinical autosomal dominant Alzheimer disease
Background “Brain-predicted age” estimates biological age from complex, nonlinear
features in neuroimaging scans. The brain age gap (BAG) between predicted and …
features in neuroimaging scans. The brain age gap (BAG) between predicted and …
Probing multiple algorithms to calculate brain age: Examining reliability, relations with demographics, and predictive power
E Bacas, I Kahhalé, PR Raamana… - Human Brain …, 2023 - Wiley Online Library
The calculation of so‐called “brain age” from structural MRIs has been an emerging
biomarker in aging research. Data suggests that discrepancies between chronological age …
biomarker in aging research. Data suggests that discrepancies between chronological age …
Regenerative rehabilitation measures to restore tissue function after arsenic exposure
AA Jasper, KH Shah, H Karim, S Gujral… - Current Opinion in …, 2024 - Elsevier
Environmental exposure of arsenic impairs cardiometabolic profile, skeletal muscle health,
and neurological function. Such declining tissue health is observed as early as in one's …
and neurological function. Such declining tissue health is observed as early as in one's …
Predictive values of pre-treatment brain age models to rTMS effects in neurocognitive disorder with depression: Secondary analysis of a randomised sham-controlled …
Introduction One major challenge in developing personalised repetitive transcranial
magnetic stimulation (rTMS) is that the treatment responses exhibited high inter-individual …
magnetic stimulation (rTMS) is that the treatment responses exhibited high inter-individual …
[HTML][HTML] Brain age as a biomarker for pathological versus healthy ageing–a REMEMBER study
MMJ Wittens, S Denissen, DM Sima, E Fransen… - Alzheimer's Research & …, 2024 - Springer
Objectives This study aimed to evaluate the potential clinical value of a new brain age
prediction model as a single interpretable variable representing the condition of our brain …
prediction model as a single interpretable variable representing the condition of our brain …
[HTML][HTML] A deep neural network estimation of brain age is sensitive to cognitive impairment and decline
Y Yang, A Sathe, K Schilling… - Pacific Symposium on …, 2024 - ncbi.nlm.nih.gov
The greatest known risk factor for Alzheimer's disease (AD) is age. While both normal aging
and AD pathology involve structural changes in the brain, their trajectories of atrophy are not …
and AD pathology involve structural changes in the brain, their trajectories of atrophy are not …