MRI of healthy brain aging: A review

ME MacDonald, GB Pike - NMR in Biomedicine, 2021 - Wiley Online Library
We present a review of the characterization of healthy brain aging using MRI with an
emphasis on morphology, lesions, and quantitative MR parameters. A scope review found …

Spiritual fitness: a new dimension in Alzheimer's disease prevention

DS Khalsa, AB Newberg - Journal of Alzheimer's Disease, 2021 - content.iospress.com
Background: Religious and spiritual interventions may have an effect on Alzheimer's
disease prevention. Kirtan Kriya meditation has been shown to mitigate the deleterious …

Multimodal biological brain age prediction using magnetic resonance imaging and angiography with the identification of predictive regions

P Mouches, M Wilms, D Rajashekar… - Human brain …, 2022 - Wiley Online Library
Biological brain age predicted using machine learning models based on high‐resolution
imaging data has been suggested as a potential biomarker for neurological and …

Choroid plexus volumes and auditory verbal learning scores are associated with conversion from mild cognitive impairment to Alzheimer's disease

MJ Pearson, R Wagstaff, RJ Williams… - Brain and …, 2024 - Wiley Online Library
Purpose Mild cognitive impairment (MCI) can be the prodromal phase of Alzheimer's
disease (AD) where appropriate intervention might prevent or delay conversion to AD. Given …

The value of arterial spin labelling perfusion MRI in brain age prediction

MBJ Dijsselhof, M Barboure, M Stritt… - Human brain …, 2023 - Wiley Online Library
Current structural MRI‐based brain age estimates and their difference from chronological
age—the brain age gap (BAG)—are limited to late‐stage pathological brain‐tissue changes …

Cortical thinning in chemotherapy-treated older long-term breast cancer survivors

E Daniel, F Deng, SK Patel, MS Sedrak, H Kim… - Brain imaging and …, 2023 - Springer
Cognitive decline is an increasing issue for cancer survivors, especially for older adults, as
chemotherapy affects brain structure and function. The purpose of this single center study …

[HTML][HTML] Direct machine learning reconstruction of respiratory variation waveforms from resting state fMRI data in a pediatric population

A Addeh, F Vega, PR Medi, RJ Williams, GB Pike… - NeuroImage, 2023 - Elsevier
In many functional magnetic resonance imaging (fMRI) studies, respiratory signals are
unavailable or do not have acceptable quality due to issues with subject compliance …

Multimodal brain age prediction fusing morphometric and imaging data and association with cardiovascular risk factors

P Mouches, M Wilms, A Aulakh, S Langner… - Frontiers in …, 2022 - frontiersin.org
Introduction The difference between the chronological and biological brain age, called the
brain age gap (BAG), has been identified as a promising biomarker to detect deviation from …

Brain Age Prediction Based on Quantitative Susceptibility Map** Using the Segmentation Transformer

M Chen, Y Wang, Y Shi, J Feng, R Feng… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The process of brain aging is intricate, encompassing significant structural and functional
changes, including myelination and iron deposition in the brain. Brain age could act as a …

The relationship between cognition and cerebrovascular reactivity: implications for task-based fMRI

RJ Williams, ME MacDonald, EL Mazerolle… - Frontiers in …, 2021 - frontiersin.org
Elucidating the brain regions and networks associated with cognitive processes has been
the mainstay of task-based fMRI, under the assumption that BOLD signals are …