The NeuroDataSets
package offers a rich and diverse
collection of datasets focused on the brain, the nervous system, and
neurological and psychiatric disorders. It includes data on conditions
such as Parkinson’s disease, Alzheimer’s disease, epilepsy,
schizophrenia, gliomas, and mental health.
The package contains a wide variety of data types, including clinical, experimental, neuroimaging, behavioral, cognitive, and simulated datasets. These datasets encompass structural and functional brain data, neurotransmission metrics, gene expression profiles, cognitive performance assessments, and treatment outcomes.
You can install the NeuroDataSets
package from CRAN with
the following R function:
install.packages("NeuroDataSets")
library(NeuroDataSets)
Each dataset in the NeuroDataSets
package uses a
suffix
to denote the type of R object:
_df
: A data frame
_list
: A list
_tbl_df
: A tibble
_matrix
: A matrix
Below are selected example datasets included in the
NeuroDataSets
package:
subcortical_patterns_tbl_df
: Patterns of Subcortical
Structures.
white_matter_patterns_tbl_df
: Expected Patterns of
White Matter.
hippocampus_lesions_df
: Memory and the
Hippocampus.
# Load the package
library(NeuroDataSets)
# List all datasets in the package
view_datasets_neuro()
# Load dataset
data(white_matter_patterns_tbl_df)
# Preview the dataset
head(white_matter_patterns_tbl_df)
# Open in Viewer
View(white_matter_patterns_tbl_df)