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1Department of Psychiatry,University of Geneva School of Medicine, 2Signal Processing Laboratory,École Polytechnique Fédérale de Lausanne, 3Department of Radiology,University Hospital Center and University of Lausanne, 4Athinoula A. Martinos Center for Biomedical Imaging,Massachusetts General Hospital
Chapters
- 00:05Title
- 02:15Reconstructing 3D Cortical Surfaces
- 04:34Computing the Local Gyrification Index
- 05:37Vertex-wise Statistical Group Comparisons via the Command Line
- 07:19Vertex-wise Statistical Group Comparisons via Qdec
- 08:06Parcel-wise Statistical Group Comparisons
- 09:10Conclusion
Measuring gyrification (cortical folding) at any age represents a window into early brain development. Hence, we previously developed an algorithm to measure local gyrification at thousands of points over the hemisphere1. In this paper, we detail the computation of this local gyrification index.
Tags
MeasureCortical FoldingMR ImagesTutorialComputeLocal Gyrification IndexSulcal MorphometryShape DescriptorsInter-hemispheric AsymmetryGeometrical PropertiesSulci IdentificationFine-grained QuantificationCurvature-based MeasurementsAbsolute Mean CurvatureCortical SurfaceCurvednessBiologically Meaningful CorrelateCortical VolumeSurface Measurement Algorithm
