A systematic review of multimodal brain age studies: Uncovering a divergence between model accuracy and utility
Brain aging is a complex, multifaceted process that can be challenging to model in ways that
are accurate and clinically useful. One of the most common approaches has been to apply …
are accurate and clinically useful. One of the most common approaches has been to apply …
Brain age in mood and psychotic disorders: a systematic review and meta‐analysis
PL Ballester, MT Romano… - Acta Psychiatrica …, 2022 - Wiley Online Library
Objective To evaluate whether accelerated brain aging occurs in individuals with mood or
psychotic disorders. Methods A systematic review following PRISMA guidelines was …
psychotic disorders. Methods A systematic review following PRISMA guidelines was …
Mind the gap: Performance metric evaluation in brain‐age prediction
Estimating age based on neuroimaging‐derived data has become a popular approach to
developing markers for brain integrity and health. While a variety of machine‐learning …
developing markers for brain integrity and health. While a variety of machine‐learning …
[HTML][HTML] Deep neural networks learn general and clinically relevant representations of the ageing brain
The discrepancy between chronological age and the apparent age of the brain based on
neuroimaging data—the brain age delta—has emerged as a reliable marker of brain health …
neuroimaging data—the brain age delta—has emerged as a reliable marker of brain health …
Swift: Swin 4d fmri transformer
Modeling spatiotemporal brain dynamics from high-dimensional data, such as functional
Magnetic Resonance Imaging (fMRI), is a formidable task in neuroscience. Existing …
Magnetic Resonance Imaging (fMRI), is a formidable task in neuroscience. Existing …
Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions
Biological brain age predicted using machine learning models based on high‐resolution
imaging data has been suggested as a potential biomarker for neurological and …
imaging data has been suggested as a potential biomarker for neurological and …
[HTML][HTML] Linking brain maturation and puberty during early adolescence using longitudinal brain age prediction in the ABCD cohort
The temporal characteristics of adolescent neurodevelopment are shaped by a complex
interplay of genetic, biological, and environmental factors. Using a large longitudinal dataset …
interplay of genetic, biological, and environmental factors. Using a large longitudinal dataset …
Explainable artificial intelligence for magnetic resonance imaging aging brainprints: Grounds and challenges
Marked changes occur in the brain during people's lives, and individual rates of aging have
revealed pronounced differences, giving rise to subject-specific brainprints that are the …
revealed pronounced differences, giving rise to subject-specific brainprints that are the …
Investigating brain aging trajectory deviations in different brain regions of individuals with schizophrenia using multimodal magnetic resonance imaging and brain-age …
Although many studies on brain-age prediction in patients with schizophrenia have been
reported recently, none has predicted brain age based on different neuroimaging modalities …
reported recently, none has predicted brain age based on different neuroimaging modalities …
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 …