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Lancet Healthy Longev
Published

Life course, genetic, and neuropathological associations with brain age in the 1946 British Birth Cohort: a population-based study.

Authors

Aaron Z Wagen, William Coath, Ashvini Keshavan, Sarah-Naomi James, Thomas D Parker, Christopher A Lane, Sarah M Buchanan, Sarah E Keuss, Mathew Storey, Kirsty Lu, Amy Macdougall, Heidi Murray-Smith, Tamar Freiberger, David M Cash, Ian B Malone, Josephine Barnes, Carole H Sudre, Andrew Wong, Ivanna M Pavisic, Rebecca Street, Sebastian J Crutch, Valentina Escott-Price, Ganna Leonenko, Henrik Zetterberg, Henrietta Wellington, Amanda Heslegrave, Frederik Barkhof, Marcus Richards, Nick C Fox, James H Cole, Jonathan M Schott

Abstract

A neuroimaging-based biomarker termed the brain age is thought to reflect variability in the brain's ageing process and predict longevity. Using Insight 46, a unique narrow-age birth cohort, we aimed to examine potential drivers and correlates of brain age.

PMID:36102775 | DOI:S2666-7568(22)00167-2

UK DRI Authors

Prof Valentina Escott-Price

Group Leader

Using Big Data, machine learning and AI to accelerate discoveries into dementia

Prof Valentina Escott-Price

Prof Henrik Zetterberg

Group Leader

Pioneering the development of fluid biomarkers for dementia

Prof Henrik Zetterberg
Amanda Heslegrave

Dr Amanda Heslegrave

Principal Research Fellow

Co-leading the UK DRI Biomarker Factory platform based at UK DRI at UCL

Dr Amanda Heslegrave