COBRE.data: fMRI brain networks of the COBRE dataset

In jesusdaniel/graphclass: Network classification

fMRI brain networks of the COBRE dataset

Description

This dataset contains functional connectivity brain networks of 124 subjects and corresponding class labels indicating schizophrenia status (70 healthy controls and 54 schizophrenic subjects) obtained from the COBRE dataset.

Usage

data(COBRE.data)

Format

COBRE.data is a list with three elements

X.cobre

A matrix containing the upper triangular part of the networks in column major order and without the diagonal entries. The networks are composed of 263 nodes obtained from the Power parcellation \insertCitepower2011functionalgraphclass and 34453 different edges. Each row corresponds to a subject in the data, and the columns correspond to edges in the networks. The edge weights are the Fisher-transformed correlation between the fMRI time series of the nodes. Nuisance covariates like age, gender, motion (meanFD and meanFDquad) and handedness have been regressed out. For a description of the preprocessing steps to obtain the network edge weights, see \insertCiterelion2017network;textualgraphclass.

.

Y.cobre

Class labels of the subjects in the dataset. Y=1 represents schizophrenia status.

subject.label

Subject ID number in the COBRE dataset.

Source

http://fcon_1000.projects.nitrc.org/indi/retro/cobre.html

References

\insertRef

Aine2017graphclass

\insertRef

relion2017networkgraphclass

\insertRef

power2011functionalgraphclass

Examples

data(COBRE.data)
plot_adjmatrix(COBRE.data$X.cobre[1,])

jesusdaniel/graphclass documentation built on Aug. 10, 2022, 3:10 p.m.