Comparison of different MRI modalities in predicting brain age and the relative importance of specific brain regions provides valuable insight into their relative predictive utility and their potential role in characterizing brain aging.
Abstract Brain age gap estimation (BrainAGE) is a promising imaging-derived biomarker of neurobiological ageing and disease risk, yet current approaches rely predominantly on T1-weighted structural MRI, overlooking functional vascular changes that may precede tissue damage and cognitive decline. Deep learning-derived c...
Jordan Jomsky, Zongyu Li, Kay C. Igwe et al.· Brain Communications· 1 citation
Background Neuron loss is a hallmark of neurodegenerative diseases and leads to brain atrophy detectable with magnetic resonance imaging (MRI). Accurate prediction of future atrophy is valuable for research in Alzheimer's disease (AD) and related dementias. Objective This study aimed to predict annualized percentage ch...
M. Hadji, Elaheh Moradi, J. Tohka· Journal of Alzheimer's Disea...· 0 citations
Alzheimer’s disease (AD) is the leading cause of dementia and disproportionately affects women, who experience a higher lifetime risk and more rapid structural brain changes than men. Reliable imaging biomarkers are essential for detecting these changes, although their estimation may be influenced by voxel geometry, im...
Three cognitive phenotypes with differential patterns of brain atrophy measures integrate neuropsychological testing with MRI measures into a clinically applicable framework that may help bridge the gap between structural imaging findings and everyday cognitive assessment in PwMS.
Patrycja Romaniszyn-Kania, Weronika Galus, Julia Wyszomirska et al.· Frontiers in Neuroscience· 0 citations
Mental illness is becoming increasingly common in everyday life, affecting a growing number of people. Functional Magnetic Resonance Imaging (fMRI) is an effective technique for detecting mental disorders. Resting-state fMRI (rs-fMRI) analyses spontaneous low-frequency oscillations in the Blood Oxygen Level Dependent s...
Iulia-Andreea Ion, Camelia Chira· International Journal of Neu...· 0 citations
Abstract INTRODUCTION Brain‐age gap (BAG), the difference between predicted age and chronological age, is studied as a biomarker for the natural progression of neurodegeneration. The BAG captures brain atrophy as measured with structural magnetic resonance imaging (MRI). Electroencephalography (EEG) has also been explo...
L. Gemein, S. Gaubert, Claire Paquet et al.· Alzheimer's & Dementia· 0 citations
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