[HTML][HTML] Morphological brain age prediction using multi-view brain networks derived from cortical morphology in healthy and disordered participants
J Corps, I Rekik - Scientific reports, 2019 - nature.com
Brain development and aging are dynamic processes that unfold over years on multiple
levels in both healthy and disordered individuals. Recent studies have revealed a disparity …
levels in both healthy and disordered individuals. Recent studies have revealed a disparity …
Multimodal imaging improves brain age prediction and reveals distinct abnormalities in patients with psychiatric and neurological disorders
The deviation between chronological age and age predicted using brain MRI is a putative
marker of overall brain health. Age prediction based on structural MRI data shows high …
marker of overall brain health. Age prediction based on structural MRI data shows high …
[HTML][HTML] Estimating brain age from structural MRI and MEG data: Insights from dimensionality reduction techniques
Brain age prediction studies aim at reliably estimating the difference between the
chronological age of an individual and their predicted age based on neuroimaging data …
chronological age of an individual and their predicted age based on neuroimaging data …
[HTML][HTML] Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors
JH Cole - Neurobiology of aging, 2020 - Elsevier
The brain-age paradigm is proving increasingly useful for exploring aging-related disease
and can predict important future health outcomes. Most brain-age research uses structural …
and can predict important future health outcomes. Most brain-age research uses structural …
[HTML][HTML] Brain age prediction: A comparison between machine learning models using brain morphometric data
Brain structural morphology varies over the aging trajectory, and the prediction of a person's
age using brain morphological features can help the detection of an abnormal aging …
age using brain morphological features can help the detection of an abnormal aging …
[HTML][HTML] The vital role of central executive network in brain age: evidence from machine learning and transcriptional signatures
K Fang, S Han, Y Li, J Ding, J Wu… - Frontiers in Neuroscience, 2021 - frontiersin.org
Recent studies combining neuroimaging with machine learning methods successfully infer
an individual's brain age, and its discrepancy with the chronological age is used to identify …
an individual's brain age, and its discrepancy with the chronological age is used to identify …
[HTML][HTML] Ayu-Characterization of healthy aging from neuroimaging data with deep learning and rsfMRI
Estimating brain age and establishing functional biomarkers that are prescient of cognitive
declines resulting from aging and different neurological diseases are still open research …
declines resulting from aging and different neurological diseases are still open research …
Connectome-based predictive models using resting-state fMRI for studying brain aging
Abstract Changes in the brain with age can provide useful information regarding an
individual's chronological age. studies have suggested that functional connectomes …
individual's chronological age. studies have suggested that functional connectomes …
[HTML][HTML] The (limited?) utility of brain age as a biomarker for capturing cognitive decline
A Tetereva, N Pat - eLife, 2023 - elifesciences.org
For decades, neuroscientists have been on a quest to search for a biomarker that can help
capture age-related cognitive decline. One well-known candidate is Brain Age, or a …
capture age-related cognitive decline. One well-known candidate is Brain Age, or a …
[HTML][HTML] Multimodal brain-age prediction and cardiovascular risk: The Whitehall II MRI sub-study
Brain age is becoming a widely applied imaging-based biomarker of neural aging and
potential proxy for brain integrity and health. We estimated multimodal and modality-specific …
potential proxy for brain integrity and health. We estimated multimodal and modality-specific …