inst/doc/read-imaging-data.R

In ieegio: File IO for Intracranial Electroencephalography

## ----include = FALSE, echo = FALSE, results='hide'----------------------------
if(identical(Sys.getenv("IEEGIO_PKGDOWN", unset = ""), "")) {
  knitr::opts_chunk$set(
    collapse = TRUE,
    comment = "#>",
    eval = FALSE
  )
} else {
  options("rgl.useNULL" = TRUE)
  library(ieegio)
  library(rgl)
  knitr::opts_chunk$set(
    collapse = TRUE,
    comment = "#>"
  )
  rgl::setupKnitr(autoprint = FALSE)
  cache_dir <- tools::R_user_dir("ieegio", "cache")
  dir.create(cache_dir, showWarnings = FALSE, recursive = TRUE)
  cache_dir <- normalizePath(cache_dir, mustWork = TRUE)
  options("ieegio.extract_path", cache_dir)
}


## ----sample-------------------------------------------------------------------
# library(ieegio)
# 
# # volume file
# nifti_file <- ieegio_sample_data("brain.demosubject.nii.gz")
# 
# # geometry
# geom_file <- ieegio_sample_data(
#   "gifti/icosahedron3d/geometry.gii")
# 
# # measurements
# shape_file <- ieegio_sample_data(
#   "gifti/icosahedron3d/rand.gii"
# )
# 
# # time series
# ts_file <- ieegio_sample_data(
#   "gifti/icosahedron3d/ts.gii")
# 

## ----read_volume--------------------------------------------------------------
# volume <- read_volume(nifti_file)
# volume

## ----plot_volume, fig.width=8, fig.height=3, out.width="95%"------------------
# par(mfrow = c(1, 3), mar = c(0, 0, 3.1, 0))
# 
# ras_position <- c(-50, -10, 15)
# 
# ras_str <- paste(sprintf("%.0f", ras_position), collapse = ",")
# 
# for(which in c("coronal", "axial", "sagittal")) {
#   plot(x = volume, position = ras_position, crosshair_gap = 10,
#        crosshair_lty = 2, zoom = 3, which = which,
#        main = sprintf("%s T1RAS=[%s]", which, ras_str))
# }
# 

## ----read_surface-------------------------------------------------------------
# library(ieegio)
# # geometry
# geometry <- read_surface(geom_file)
# 
# # measurements
# measurement <- read_surface(shape_file)
# 
# # time series
# time_series <- read_surface(ts_file)

## ----merge--------------------------------------------------------------------
# merged <- merge(geometry, measurement, time_series)
# print(merged)

## ----plot_surface, webgl = TRUE, out.width="70%", fig.width = 7---------------
# # plot the first column in measurements section
# plot(merged, name = list("measurements", 1))

## ----time_series, webgl = TRUE, out.width="100%", fig.width = 7---------------
# ts_demean <- apply(
#   merged$time_series$value,
#   MARGIN = 1L,
#   FUN = function(x) {
#     x - mean(x)
#   }
# )
# merged$time_series$value <- t(ts_demean)
# plot(
#   merged, name = "time_series",
#   col = c(
#     "#053061", "#2166ac", "#4393c3",
#     "#92c5de", "#d1e5f0", "#ffffff",
#     "#fddbc7", "#f4a582", "#d6604d",
#     "#b2182b", "#67001f"
#   )
# )