Cortical complexity as a measure of age-related brain atrophy

Madan, Christopher R. and Kensinger, Elizabeth A. (2016) Cortical complexity as a measure of age-related brain atrophy. NeuroImage, 134 . pp. 617-629. ISSN 1095-9572

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Abstract

The structure of the human brain changes in a variety of ways as we age. While a sizeable literature has examined age-related differences in cortical thickness, and to a lesser degree, gyrification, here we examined differences in cortical complexity, as indexed by fractal dimensionality in a sample of over 400 individuals across the adult lifespan. While prior studies have shown differences in fractal dimensionality between patient populations and age-matched, healthy controls, it is unclear how well this measure would relate to age-related cortical atrophy. Initially computing a single measure for the entire cortical ribbon, i.e., unparcellated gray matter, we found fractal dimensionality to be more sensitive to age-related differences than either cortical thickness or gyrification index. We additionally observed regional differences in age-related atrophy between the three measures, suggesting that they may index distinct differences in cortical structure. We also provide a freely available MATLAB toolbox for calculating fractal dimensionality.

Item Type: Article
Keywords: cortical structure; fractal dimensionality; age; atrophy; cortical thickness; gyrification
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Psychology
Identification Number: https://doi.org/10.1016/j.neuroimage.2016.04.029
Depositing User: Madan, Christopher
Date Deposited: 15 Jan 2018 09:55
Last Modified: 17 Jan 2018 03:20
URI: http://eprints.nottingham.ac.uk/id/eprint/49068

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