no code implementations • 11 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.
no code implementations • 10 Jun 2024 • Peter N. Taylor, Yujiang Wang, Callum Simpson, Vytene Janiukstyte, Jonathan Horsley, Karoline Leiberg, Beth Little, Harry Clifford, Sophie Adler, Sjoerd B. Vos, Gavin P Winston, Andrew W McEvoy, Anna Miserocchi, Jane de Tisi, John S Duncan
To demonstrate the veracity of our data, we successfully replicated previous studies showing long-term outcomes of seizure freedom in the range of around 50%.
no code implementations • 3 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.
no code implementations • 22 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.
1 code implementation • 13 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.
1 code implementation • 16 Sep 2022 • Yujiang Wang, Karoline Leiberg, Nathan Kindred, Christopher R. Madan, Colline Poirier, Christopher I. Petkov, Peter N. Taylor, Bruno C. C. Mota
To demonstrate the importance of this new understanding, we show a scale-dependent effect of ageing on brain morphology.
1 code implementation • 25 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.