decode_surf_data {VertexWiseR} | R Documentation |
Decode surface data
Description
Correlates the significant clusters of an earlier vertex-wise analysis with a database of task-based fMRI and voxel-based morphometric statistical maps and associate them with relevant key words
Usage
decode_surf_data(surf_data, contrast = "positive", VWR_check = TRUE)
Arguments
surf_data |
a numeric vector with a length of 20484 |
contrast |
A string object indicating whether to decode the positive or negative mask ('positive' or 'negative') |
VWR_check |
A boolean object specifying whether to check and validate system requirements. Default is TRUE. |
Details
The 'NiMARE' python module is used for the imaging decoding and is imported via the reticulate package. The function also downloads the 'Neurosynth' database in the package's inst/extdata directory (~8 Mb) for the analysis.
Value
A data.frame object listing the keywords and their Pearson's R values
Examples
CTv = rbinom(20484, 1, 0.001)
decoding = decode_surf_data(CTv, 'positive', VWR_check=FALSE);
head(decoding)
[Package VertexWiseR version 1.0.0 Index]