Log in to save to my catalogue

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort...

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b683f8da68144da784893d350bcd6b16

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex

About this item

Full title

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex

Publisher

England: eLife Sciences Publications Ltd

Journal title

eLife, 2023-04, Vol.12

Language

English

Formats

Publication information

Publisher

England: eLife Sciences Publications Ltd

More information

Scope and Contents

Contents

Brain-age can be inferred from structural neuroimaging and compared to chronological age (brain-age delta) as a marker of biological brain aging. Accelerated aging has been found in neurodegenerative disorders like Alzheimer's disease (AD), but its validation against markers of neurodegeneration and AD is lacking. Here, imaging-derived measures fro...

Alternative Titles

Full title

Biological brain age prediction using machine learning on structural neuroimaging data: Multi-cohort validation against biomarkers of Alzheimer's disease and neurodegeneration stratified by sex

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_b683f8da68144da784893d350bcd6b16

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b683f8da68144da784893d350bcd6b16

Other Identifiers

ISSN

2050-084X

E-ISSN

2050-084X

DOI

10.7554/eLife.81067

How to access this item