Brain Age

Brain age prediction from MRI scans in neurodegenerative diseases
Purpose of review This review explores the use of brain age estimation from MRI scans as a biomarker of brain health. With disorders …
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Personalizing progressive changes to brain structure in Alzheimers disease using normative modeling
Multi-modality MRI and PET used to predict progression to dementia from mild cognitive impairment in ADNI.
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Brain-age is associated with progression to dementia in memory clinic patients
‘Background: Biomarkers for the early detection of dementia risk hold promise for better disease monitoring and targeted …
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Accurate brain‐age models for routine clinical MRI examinations
Brain age can be predicted accurately from 2D T2-weighted or DWI scans.
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Multimodality neuroimaging brain-age in UK biobank: relationship to biomedical, lifestyle, and cognitive factors
Multi-modality MRI used to predict chronological age in healthy people in the UK Biobank.
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Nonlinear biomarker interactions in conversion from Mild Cognitive Impairment to Alzheimers disease
Multi-modality MRI and PET used to predict progression to dementia from mild cognitive impairment in ADNI.
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BARCODE
Predicting risk of dementia in adults with subjective or mild cognitive impairment using the brain-age paradigm.
BARCODE
ENIGMA Brain Age
James Cole chairs the ENIGMA Brain Age working group.
ENIGMA Brain Age
Multimodal Brain Age
Using the UK Biobank to predict brain age from multiple modalities of MRI data, including structural, diffusion and functional scans.
Multimodal Brain Age
Neurodevelopment
Predicting risk of poor educational outcomes from MRI measurements of the brain during infancy and early childhood
Neurodevelopment