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Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T(1)-weighted (T(1)w) MRI. By identifying MRI features unapparent to humans, DNNs can find aging-related structural alterations above and beyond cortical...

CONCLUSION: Integrating assessments for multisensory impairment, vision, and hearing loss may add to elder mistreatment prevention and detection efforts.

Alzheimer's disease (AD) is an aging-associated neurodegenerative disorder characterized by amyloid-β (Aβ) and tau accumulation and progressive cognitive decline. Increasing evidence implicates the glymphatic system, a brain-wide perivascular pathway involved in cerebrospinal fluid-interstitial fluid exchange and metabolic waste clearance, in the removal of Aβ, tau, and other solutes relevant to AD pathogenesis. Aging-related alterations in aquaporin-4 polarization, arterial pulsatility, sleep...

CONCLUSION: The selection of QSM reconstruction pipelines impacts results obtained from multi-site studies, indicating the importance of harmonizing QSM pipelines when interpreting susceptibility measures across studies.

Approach could help reveal which migrating species are most vulnerable to wind turbines and light pollution