ggsegCerebellum

Cerebellar atlases for the ggseg ecosystem.

Installation

We recommend installing the ggseg-atlases through the ggseg r-universe:

options(repos = c(
  ggseg = "https://ggseg.r-universe.dev",
  CRAN = "https://cloud.r-project.org"
))

install.packages("ggsegCerebellum")

You can install this package from GitHub with:

# install.packages("pak")
# pak::pak("ggsegverse/ggsegCerebellum")
install.packages("ggsegCerebellum", repos = c('https://ggsegverse.r-universe.dev', 'https://cloud.r-project.org'))

Anatomical atlas

library(ggseg)
library(ggsegCerebellum)
library(ggplot2)

ggplot() +
  geom_brain(
    atlas = cerebellum_anatom(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

Buckner 7-network

ggplot() +
  geom_brain(
    atlas = cerebellum_buckner7(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

Buckner 17-network

ggplot() +
  geom_brain(
    atlas = cerebellum_buckner17(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

Ji 10

ggplot() +
  geom_brain(
    atlas = cerebellum_ji10(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

MDTB 10

ggplot() +
  geom_brain(
    atlas = cerebellum_mdtb10(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

Xue 10

ggplot() +
  geom_brain(
    atlas = cerebellum_xue10(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

Nettekoven 32

ggplot() +
  geom_brain(
    atlas = cerebellum_nettekoven32(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

Nettekoven 68

ggplot() +
  geom_brain(
    atlas = cerebellum_nettekoven68(),
    mapping = aes(fill = label),
    show.legend = FALSE
  ) +
  theme_void()

Data source

Diedrichsen J & Zotow E (2015). Surface-based display of volume-averaged cerebellar imaging data. PLoS ONE, 10(7), e0133402.