Warp in Surface and Volume Registration (SVReg) refers to the transformation applied during the alignment of surface and volumetric data in neuroimaging. SVReg ensures accurate mapping by deforming data to match a reference template while preserving anatomical integrity. This process involves generating warps to align cortical surfaces and volumes, enhancing the precision of comparative analyses across datasets. It’s widely used in brain imaging studies for tasks like cortical thickness measurement and morphometric analysis, enabling consistent and detailed insights into structural variations.