Skip to main content

Research Repository

Advanced Search

Shape-related characteristics of age-related differences in subcortical structures

Madan, Christopher R.

Authors



Abstract

OBJECTIVES: With an increasing aging population, it is important to gain a better understanding of biological markers of aging. Subcortical volume is known to differ with age; additionally considering shape-related characteristics may provide a better index of age-related differences in subcortical structure. Recently fractal dimensionality has been shown to be more sensitive to age-related differences, but this measure is borne out of mathematical principles, rather than quantifying a neurobiologically relevant characteristic directly. We considered four distinct measures of shape and how they relate to aging and fractal dimensionality: surface-to-volume ratio, sphericity, long-axis curvature, and surface texture. METHODS: Structural MRIs from two samples, with a combined sample size of over 600 healthy adults across the adult lifespan, were used to measure age-related differences in the structure of the thalamus, putamen, caudate, and hippocampus. For each structure, volume and fractal dimensionality were calculated, as well as each of the four distinct shape measures. These measures were then examined in their utility in explaining age-related variability in brain structure. RESULTS: The four shape measures were able to account for 80-90% of the variance in fractal dimensionality, indicating that these measures were sensitive to the same shape characteristics. Of the distinct shape measures, surface-to-volume ratio was the most sensitive aging biomarker. CONCLUSION: Though volume is often used to characterize inter-individual differences in subcortical structures, our results demonstrate that additional measures can be useful complements to volumetry. Our results indicate that shape characteristics of subcortical structures are useful biological markers of healthy aging.

Citation

Madan, C. R. (2019). Shape-related characteristics of age-related differences in subcortical structures. Aging and Mental Health, 23(7), 800-810. https://doi.org/10.1080/13607863.2017.1421613

Journal Article Type Article
Acceptance Date Dec 10, 2017
Online Publication Date Jan 11, 2018
Publication Date 2019
Deposit Date Dec 12, 2017
Publicly Available Date Jan 12, 2019
Journal Aging and Mental Health
Print ISSN 1360-7863
Electronic ISSN 1364-6915
Publisher Taylor & Francis (Routledge)
Peer Reviewed Peer Reviewed
Volume 23
Issue 7
Pages 800-810
DOI https://doi.org/10.1080/13607863.2017.1421613
Keywords Structural MRI; Brain morphology; Fractal dimensionality; Volume; Thalamus; Caudate; Radiomics
Public URL http://eprints.nottingham.ac.uk/id/eprint/48666
Publisher URL http://www.tandfonline.com/doi/full/10.1080/13607863.2017.1421613
Copyright Statement Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf
Additional Information This is an Accepted Manuscript of an article published by Taylor & Francis in Aging and Mental Health on 11 Jan 2018, available online: http://www.tandfonline.com/10.1080/13607863.2017.1421613.

Files


subcortShape_final.pdf (11.9 Mb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://eprints.nottingham.ac.uk/end_user_agreement.pdf







You might also like



Downloadable Citations