Assessing the utility of predicted brain age for explaining variability in language abilities in healthy older adults

Prystauka, Y, Rahman, F, Busby, N, Roeser, J ORCID: https://orcid.org/0000-0002-4463-0923, Boraxbekk, CJ, Feron, J, Lucas, SJE, Wetterlin, A, Fernandes, EG, Wheeldon, L and Segaert, K, 2025. Assessing the utility of predicted brain age for explaining variability in language abilities in healthy older adults. Neurobiology of Language. ISSN 2641-4368

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Abstract

We investigated whether the difference between chronological and modelled brain age explains individual differences in language performance among healthy older adults. Age-related decline in language abilities is widely documented, with considerable variability among healthy older individuals in both language performance and underlying neural substrate. We derived predicted brain age from grey and white matter using machine learning and used this measure to estimate neurological deviations from chronological age. Using Bayesian mixed-effects modelling, we tested whether brain-age deviations predict language performance in a sample of 86 adults aged 60 years and above. We assessed the effect of brain-age deviations on performance across four well-established language processing tasks, each tapping into linguistic domains known to be vulnerable to ageing and show individual variability in skill levels, in both comprehension and production. Our findings suggest that, in healthy older individuals, predicted deviations of brain age from chronological age do not predict language abilities. This challenges the idea that brain age is a reliable determinant of language processing variability, at least in healthy (as opposed to pathological) ageing and highlights the need to consider other neural and cognitive factors when studying language decline.

Item Type:	Journal article
Publication Title:	Neurobiology of Language
Creators:	Prystauka, Y., Rahman, F., Busby, N., Roeser, J., Boraxbekk, C.J., Feron, J., Lucas, S.J.E., Wetterlin, A., Fernandes, E.G., Wheeldon, L. and Segaert, K.
Publisher:	MIT Press
Date:	11 July 2025
ISSN:	2641-4368
Identifiers:	Number Type 10.1162/nol.a.21 DOI 2471185 Other
Divisions:	Schools > School of Social Sciences
Record created by:	Jeremy Silvester
Date Added:	18 Jul 2025 10:12
Last Modified:	18 Jul 2025 10:12
URI:	https://irep.ntu.ac.uk/id/eprint/53983

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