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 …
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 …
Positron emission tomography and magnetic resonance imaging methods and datasets within the Dominantly Inherited Alzheimer Network (DIAN)
Abstract The Dominantly Inherited Alzheimer Network (DIAN) is an international
collaboration studying autosomal dominant Alzheimer disease (ADAD). ADAD arises from …
collaboration studying autosomal dominant Alzheimer disease (ADAD). ADAD arises from …
Brain aerobic glycolysis and resilience in Alzheimer disease
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 …
with amyloid-beta (Aβ) deposition in individuals with symptomatic and preclinical Alzheimer …
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 …
Brain age prediction using the graph neural network based on resting-state functional MRI in Alzheimer's disease
J Gao, J Liu, Y Xu, D Peng, Z Wang - Frontiers in Neuroscience, 2023 - frontiersin.org
Introduction Alzheimer's disease (AD) is a neurodegenerative disease that significantly
impacts the quality of life of patients and their families. Neuroimaging-driven brain age …
impacts the quality of life of patients and their families. Neuroimaging-driven brain age …
Neuroimaging-based brain age estimation: A promising personalized biomarker in neuropsychiatry
D Sone, I Beheshti - Journal of Personalized Medicine, 2022 - mdpi.com
It is now possible to estimate an individual's brain age via brain scans and machine-learning
models. This validated technique has opened up new avenues for addressing clinical …
models. This validated technique has opened up new avenues for addressing clinical …
Predicting aging trajectories of decline in brain volume, cortical thickness and fractional anisotropy in schizophrenia
Brain-age prediction is a novel approach to assessing deviated brain aging trajectories in
different diseases. However, most studies have used an average brain age gap (BAG) of …
different diseases. However, most studies have used an average brain age gap (BAG) of …
Latent similarity identifies important functional connections for phenotype prediction
Objective: Endophenotypes such as brain age and fluid intelligence are important
biomarkers of disease status. However, brain imaging studies to identify these biomarkers …
biomarkers of disease status. However, brain imaging studies to identify these biomarkers …
Accelerated functional brain aging in major depressive disorder: evidence from a large scale fMRI analysis of Chinese participants
Major depressive disorder (MDD) is one of the most common mental health conditions that
has been intensively investigated for its association with brain atrophy and mortality. Recent …
has been intensively investigated for its association with brain atrophy and mortality. Recent …