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Brain segmentation results are easier to interpret when they look like a brain. ggseg3d takes a data frame with region names and renders it as an interactive 3D mesh — rotate, zoom, hover for labels — right in the browser.
With no arguments, ggseg3d() plots the Desikan-Killiany
atlas. The output is an htmlwidget: click and drag to rotate, scroll to
zoom, hover to see region names.
Match your data to the atlas by region name, then point
colour_by at the variable you care about:
library(dplyr)
some_data <- tibble(
region = c("precentral", "postcentral", "insula", "superior parietal"),
p = c(0.01, 0.04, 0.2, 0.5)
)
ggseg3d(.data = some_data, atlas = dk(), colour_by = "p", text_by = "p") |>
pan_camera("right lateral")text_by = "p" adds the p-value to the hover tooltip so
you can inspect individual regions without a separate table.
Cortical surfaces are only half the story. The aseg
atlas covers subcortical structures, and add_glassbrain()
wraps them in a translucent cortex for anatomical context:
subcort_data <- tibble(
region = c("Thalamus", "Caudate", "Hippocampus"),
p = c(0.2, 0.5, 0.8)
)
ggseg3d(.data = subcort_data, atlas = aseg(), colour_by = "p", na_alpha = .5) |>
add_glassbrain()pan_camera() sets the viewing angle.
set_background() changes the canvas colour — handy for
dark-themed slides:
Camera presets cover the standard anatomical views:
"left lateral", "right medial",
"left superior", and so on. For anything else, pass a list
with eye coordinates.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.