Abstract
Current approaches for analyzing structural patterns of the human brain often implicitly assume that brains are variants of a single type, and use nonlinear registration to reduce the inter-individual variability. This assumption is challenged here. Regional anatomical and connection patterns cluster into statistically distinct types. An advanced analysis proposed here leads to a deeper understanding of the governing principles of cortical variability.
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Kruggel, F. (2022). Distinct Structural Patterns of the Human Brain: A Caveat for Registration. In: Hering, A., Schnabel, J., Zhang, M., Ferrante, E., Heinrich, M., Rueckert, D. (eds) Biomedical Image Registration. WBIR 2022. Lecture Notes in Computer Science, vol 13386. Springer, Cham. https://doi.org/10.1007/978-3-031-11203-4_8
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DOI: https://doi.org/10.1007/978-3-031-11203-4_8
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