smooth_surf: Smooth surface

In VertexWiseR: Simplified Vertex-Wise Analyses of Whole-Brain and Hippocampal Surface

Smooth surface

Description

Smooths surface data at defined full width at half maximum (FWHM) as per the corresponding template of surface data

Usage

smooth_surf(surf_data, FWHM, VWR_check = TRUE)

Arguments

surf_data	A N x V matrix object containing the surface data (N row for each subject, V for each vertex), in fsaverage5 (20484 vertices), fsaverage6 (81924 vertices), fslr32k (64984 vertices) or hippocampal (14524 vertices) space. See also Hipvextract(), SURFvextract() or FSLRvextract output formats. Alternatively, a string object containing the path to the surface object (.rds file) outputted by extraction functions may be given.
FWHM	A numeric vector object containing the desired smoothing width in mm
VWR_check	A boolean object specifying whether to check and validate system requirements. Default is TRUE.

Value

A matrix object with smoothed vertex-wise values

Examples

surf_data = readRDS(file = url(paste0("https://github.com",
"/CogBrainHealthLab/VertexWiseR/blob/main/inst/demo_data/",
"FINK_Tv_ses13.rds?raw=TRUE")))[1:3,]

surf_data_smoothed=smooth_surf(surf_data, 10, VWR_check=FALSE);

VertexWiseR documentation built on April 15, 2025, 1:18 a.m.