%0 Conference Paper
%A Friedrich, Patrick
%A Patil, Kaustubh
%A Mochalski, Lisa
%A Li, Xuan
%A Camilleri, Julia
%A Kröll, Jean-Philippe
%A Wiersch, Lisa
%A Vickery, Sam
%A Hopkins, William D.
%A Hoffstaedter, Felix
%A Eickhoff, Simon
%A Weis, Susanne
%T Is it left or is it right? A machine learning framework for studying hemispheric differences
%M FZJ-2022-05003
%D 2022
%X The comparison between regions or tracts in the left and right hemispheres grants insight into localasymmetries as one characteristic feature of brain organization. These pairwise comparisons,however, are reminiscent of a localists’ view and come with several caveats when assessing multipleasymmetries. To overcome some of the limitations set by conventional statistical comparisons, werecently introduced a novel machine learning-based framework for studying hemispheric differences.In a recent proof-of-principle study, we showed the capability of machine learning-based classificationto distinguish the hemispheres based on voxel-wise features. Using a Boruta feature-selectionalgorithm allowed the mapping of voxels that were important for correctly classifying a givenhemisphere. Furthermore, relating these maps of hemisphere-determining voxels with volumetricasymmetries validated our approach for mapping lateralized brain structure. In this talk, I will highlightour framework for studying hemispheric differences and present ongoing work on possibleapplications.
%B 8th North Sea Laterality Conference on Brain Asymmetry
%C 24 Aug 2022 - 27 Aug 2022, Bergen (Norway)
Y2 24 Aug 2022 - 27 Aug 2022
M2 Bergen, Norway
%F PUB:(DE-HGF)6
%9 Conference Presentation
%U https://juser.fz-juelich.de/record/911751