CHRISTOPHER MADAN CHRISTOPHER.MADAN@NOTTINGHAM.AC.UK
Assistant Professor
CHRISTOPHER MADAN CHRISTOPHER.MADAN@NOTTINGHAM.AC.UK
Assistant Professor
Elizabeth A. Kensinger
© 2016 Elsevier Inc. 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.
Madan, C. R., & Kensinger, E. A. (2016). Cortical complexity as a measure of age-related brain atrophy. NeuroImage, 134, 617-629. https://doi.org/10.1016/j.neuroimage.2016.04.029
Journal Article Type | Article |
---|---|
Acceptance Date | Apr 7, 2016 |
Online Publication Date | Apr 19, 2016 |
Publication Date | Jul 1, 2016 |
Deposit Date | Jan 15, 2018 |
Publicly Available Date | Jan 15, 2018 |
Journal | NeuroImage |
Print ISSN | 1053-8119 |
Electronic ISSN | 1095-9572 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 134 |
Pages | 617-629 |
DOI | https://doi.org/10.1016/j.neuroimage.2016.04.029 |
Keywords | cortical structure; fractal dimensionality; age; atrophy; cortical thickness; gyrification |
Public URL | https://nottingham-repository.worktribe.com/output/792118 |
Publisher URL | http://www.sciencedirect.com/science/article/pii/S1053811916300519 |
20160331_draft.pdf
(2.7 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
Insights into the accuracy of social scientists’ forecasts of societal change
(2023)
Journal Article
Risky choice and memory for effort: Hard work stands out
(2022)
Journal Article
About Repository@Nottingham
Administrator e-mail: openaccess@nottingham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Advanced Search