Search Results for author: Karoline Leiberg

Found 7 papers, 3 papers with code

Status epilepticus and thinning of the entorhinal cortex

no code implementations11 Aug 2024 Jonathan Horsley, Yujiang Wang, Callum Simpson, Vyte Janiukstyte, Karoline Leiberg, Beth Little, Jane de Tisi, John Duncan, Peter N. Taylor

Individuals with TLE and SE had reduced entorhinal thickness compared to those with TLE and no history of SE.

Brain Morphology Normative modelling platform for abnormality and Centile estimation: Brain MoNoCle

no code implementations3 Jun 2024 Bethany Little, Nida Alyas, Alexander Surtees, Gavin P Winston, John S Duncan, David A Cousins, John-Paul Taylor, Peter Taylor, Karoline Leiberg, Yujiang Wang

Finally, with the ability to investigate multiple morphology measures in the same framework, we found that biological covariates are better explained in specific morphology measures, and for clinical applications, only some measures are sensitive to the disease process.

Multiscale cortical morphometry reveals pronounced regional and scale-dependent variations across the lifespan

no code implementations22 Nov 2023 Karoline Leiberg, Timo Blattner, Bethany Little, Victor B. B. Mello, Fernanda H. P. de Moraes, Christian Rummel, Peter N. Taylor, Bruno Mota, Yujiang Wang

Most studies to date have found a monotonic decrease in commonly used morphometrics, such as cortical thickness and volume, across the entire brain with increasing age.

Effects of anterior temporal lobe resection on cortical morphology

1 code implementation13 Dec 2022 Karoline Leiberg, Jane de Tisi, John S Duncan, Bethany Little, Peter N Taylor, Sjoerd B Vos, Gavin P Winston, Bruno Mota, Yujiang Wang

Here, we examine the effects of this surgery on cortical morphology measured in independent variables both near the resection and remotely.

Local Morphological Measures Confirm that Folding within Small Partitions of the Human Cortex Follows Universal Scaling Law

1 code implementation25 Mar 2021 Karoline Leiberg, Christoforos Papasavvas, Yujiang Wang

The universal scaling law of cortical morphology describes cortical folding as the covariance of average grey matter thickness, pial surface area, and exposed surface area.

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