Modelling and characterizing the folding patterns of the human brain

9 Jul 2018, 18:00
Holme Building/--The Refectory (University of Sydney)

Holme Building/--The Refectory

University of Sydney

Board: 608
Poster Presentation Physiology Poster Session


Prof. Monica Hurdal (Florida State University, Department of Mathematics)


The human brain consists of folds (gyri) and valleys (sulci) that vary dramatically in their size, extent, and shape across individuals. There is considerable debate among biologists as to how the folding patterns develop and if the folding patterns can be used to diagnose disease. In this presentation, I will discuss some of the mathematical and modelling approaches my research group is developing to study coritical fold formation, Turing patterns, topology, conformal mapping, and conformal invariants are some of the methods we are using to model and characterize the folding patterns of the brain in development, health, and disease. By altering various model parameters, including domain size and scaling, results from our model can be correlated with cortical folding diseases such as lissencephaly and microcephaly.

Primary author

Prof. Monica Hurdal (Florida State University, Department of Mathematics)

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