Abstract
The universal scaling law of cortical morphology describes cortical folding as a tight relationship between average grey matter thickness, pial surface area, and exposed surface area. It applies for mammalian species, humans, and across lobes, however it remains to be shown that local cortical folding obeys the same rules. Here, we develop a method to obtain morphological measures for small regions across the cortex and correct surface areas by curvature to account for differences in patch size, resulting in a map of local morphology. It enables a near-pointwise analysis of morphological variables and their regional changes due to processes such as healthy ageing. We confirm empirically that the theorised relation of morphological measures still holds at this level of local partition sizes as predicted, justifying the use of independent variables derived from the scaling law to identify regional differences in folding, subject-specific abnormalities, and local effects of ageing.
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References
Awate, S.P., Leahy, R.M., Joshi, A.A.: Kernel methods for Riemannian analysis of robust descriptors of the cerebral cortex. In: Niethammer, M., et al. (eds.) IPMI 2017. LNCS, vol. 10265, pp. 28–40. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59050-9_3
Chaudhary, S., et al.: Cortical thickness and gyrification index measuring cognition in Parkinson’s disease. Int. J. Neurosci. 1–10 (2020)
Frangou, S., Modabbernia, A., Williams, S.C.R., Fuentes-claramonte, P., Glahn, D.C.: Cortical thickness across the lifespan: data from 17, 075 healthy individuals aged 3–90 years. Hum. Brain Mapp. 1–21 (2021)
Galovic, M., et al.: Progressive cortical thinning in patients with focal epilepsy. JAMA Neurol. 76(10), 1230–1239 (2019)
Libero, L.E., Schaer, M., Li, D.D., Amaral, D.G., Nordahl, C.W.: A longitudinal study of local gyrification index in young boys with autism spectrum disorder. Cerebral Cortex 29(6), 2575–2587 (2019)
Mota, B., Herculano-Houzel, S.: Cortical folding scales universally with surface area and thickness, not number of neurons. Science 349(6243), 74–77 (2015)
Nooner, K.B., et al.: The NKI-rockland sample: a model for accelerating the pace of discovery science in psychiatry. Front. Neurosci. 6, 152 (2012)
Schaer, M., Bach Cuadra, M., Tamarit, L., Lazeyras, F., Eliez, S., Thiran, J.P.: A Surface-based approach to quantify local cortical gyrification. IEEE Trans. Med. Imaging 27(2), 161–170 (2008)
Wang, Y., et al.: Independent components of human brain morphology. NeuroImage 226, 117546 (2021)
Wang, Y., Necus, J., Kaiser, M., Mota, B.: Universality in human cortical folding in health and disease. Proc. Nat. Acad. Sci. U.S.A. 113(45), 12820–12825 (2016)
Wang, Y., Necus, J., Rodriguez, L.P., Taylor, P.N., Mota, B.: Human cortical folding across regions within individual brains follows universal scaling law. Commun. Biol. 2(1), 1–8 (2019)
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Leiberg, K., Papasavvas, C., Wang, Y. (2021). Local Morphological Measures Confirm that Folding Within Small Partitions of the Human Cortex Follows Universal Scaling Law. In: de Bruijne, M., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2021. MICCAI 2021. Lecture Notes in Computer Science(), vol 12907. Springer, Cham. https://doi.org/10.1007/978-3-030-87234-2_65
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DOI: https://doi.org/10.1007/978-3-030-87234-2_65
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