Age Prediction Using Resting-State Functional MRI
The increasing lifespan and large individual differences in cognitive capability highlight the
importance of comprehending the aging process of the brain. Contrary to visible signs of …
importance of comprehending the aging process of the brain. Contrary to visible signs of …
Age prediction using resting-state functional MRI
The increasing lifespan and large individual differences in cognitive capability highlight the
importance of comprehending the aging process of the brain. Contrary to visible signs of …
importance of comprehending the aging process of the brain. Contrary to visible signs of …
Prediction of individual brain age using movie and resting-state fMRI
S Bi, Y Guan, L Tian - Cerebral Cortex, 2024 - academic.oup.com
Brain age is a promising biomarker for predicting chronological age based on brain imaging
data. Although movie and resting-state functional MRI techniques have attracted much …
data. Although movie and resting-state functional MRI techniques have attracted much …
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] Brain age monotonicity and functional connectivity differences of healthy subjects
SK Sorooshyari - Plos one, 2024 - journals.plos.org
Alterations in the brain's connectivity or the interactions among brain regions have been
studied with the aid of resting state (rs) fMRI data attained from large numbers of healthy …
studied with the aid of resting state (rs) fMRI data attained from large numbers of healthy …
Brain age prediction across the human lifespan using multimodal MRI data
Measuring differences between an individual's age and biological age with biological
information from the brain have the potential to provide biomarkers of clinically relevant …
information from the brain have the potential to provide biomarkers of clinically relevant …
[HTML][HTML] MRI‐informed cortical features for brain age prediction in age‐specific adulthoods
J Li, H Lu - Human Brain Mapping, 2023 - ncbi.nlm.nih.gov
We read with great interest the study investigating the performance metrics of the “Brain-age
gap” prediction model in two worldrenowned large-scale data sets (de Lange et al., 2022) …
gap” prediction model in two worldrenowned large-scale data sets (de Lange et al., 2022) …
[HTML][HTML] Prediction of chronological age in healthy elderly subjects with machine learning from MRI brain segmentation and cortical parcellation
J Gómez-Ramírez, MA Fernández-Blázquez… - Brain Sciences, 2022 - mdpi.com
Normal aging is associated with changes in volumetric indices of brain atrophy. A
quantitative understanding of age-related brain changes can shed light on successful aging …
quantitative understanding of age-related brain changes can shed light on successful aging …
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 …