Patterns of Gray Matter in Schizophrenia — gm_expected_patterns_tbl

This dataset, gm_expected_patterns_tbl_df, is a tibble containing expected patterns of gray matter in schizophrenia derived from large-scale meta-analyses by the ENIGMA consortium. It includes data from multiple neurological and psychiatric conditions for comparison.

Usage

data(gm_expected_patterns_tbl_df)

Format

A tibble with 33 observations and 16 variables:

GM: Character vector indicating gray matter regions
SSD: Numeric vector of expected patterns for schizophrenia spectrum disorder
MDD: Numeric vector of expected patterns for major depressive disorder
AD_ADNI: Numeric vector of expected patterns for Alzheimer's disease (ADNI cohort)
AD_ADNIOSYRIX: Numeric vector of expected patterns for Alzheimer's disease (ADNI+OSYRIX cohort)
BD: Numeric vector of expected patterns for bipolar disorder
PD: Numeric vector of expected patterns for Parkinson's disease
Diabetes: Numeric vector of expected patterns for diabetes
HighBP: Numeric vector of expected patterns for high blood pressure
HighLipids: Numeric vector of expected patterns for high lipids
MET: Numeric vector of expected patterns for metabolic syndrome
DS_22q: Numeric vector of expected patterns for 22q11.2 deletion syndrome
Suicide: Numeric vector of expected patterns for suicide
OCD_pediatric: Numeric vector of expected patterns for pediatric OCD
OCD_adult: Numeric vector of expected patterns for adult OCD
AN: Numeric vector of expected patterns for anorexia nervosa

Source

Data taken from the RVIpkg package version 0.3.2.

Details

The dataset name has been kept as 'gm_expected_patterns_tbl_df' to avoid confusion with other datasets in the R ecosystem. This naming convention helps distinguish this dataset as part of the NeuroDataSets package and assists users in identifying its specific characteristics. The suffix 'tbl_df' indicates that the dataset is a tibble. The original content has not been modified in any way.