Modifiable risk and protective factors for boosting brain and cognitive development and
preventing neurodegeneration and cognitive decline are embraced in neuroimaging …

Brain-age estimation has gained increased attention in the neuroscientific community owing
to its potential use as a biomarker of brain health. The difference between estimated and …

The distribution of brain aerobic glycolysis (AG) in normal young adults correlates spatially
with amyloid-beta (Aβ) deposition in individuals with symptomatic and preclinical Alzheimer …

Brain-age can be inferred from structural neuroimaging and compared to chronological age
(brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in …

Objective There has been increasing evidence for atypical white matter (WM) microstructure
in autistic people, but findings have been divergent. The development of autistic people in …

Impaired iron metabolism has been increasingly observed in many diseases, but a deeper,
mechanistic understanding of the cellular impact of altered iron metabolism is still lacking. In …

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 …

Integrated fetal, neonatal, and pediatric training constitute an interdisciplinary fetal-neonatal
neurology (FNN) program. A dynamic neural exposome concept strengthens curriculum …

Background “Brain-predicted age” estimates biological age from complex, nonlinear
features in neuroimaging scans. The brain age gap (BAG) between predicted and …

Introduction Brain age, the estimation of a person's age from magnetic resonance imaging
(MRI) parameters, has been used as a general indicator of health. The marker requires …