bootstrap_searchlight

This function generates a spherical searchlight iterator by sampling regions
from within a brain mask. It creates searchlight spheres around random center
voxels, allowing the same surrounding voxel to belong to multiple searchlight samples.

A collection of data structures and methods for handling volumetric
brain imaging data, with a focus on functional magnetic resonance imaging (fMRI). Provides efficient
representations for three-dimensional and four-dimensional neuroimaging data through sparse and dense array
implementations, memory-mapped file access for large datasets, and
spatial transformation capabilities. Implements methods for image resampling,
spatial filtering, region of interest analysis, and connected component labeling. General introduction
to fMRI analysis can be found in Poldrack et al. (2024, "Handbook of functional MRI data analysis",
<ISBN:9781108795760>).

Bradley Buchsbaum

neuroim2

Data Structures for Brain Imaging Data

bootstrap_searchlight function

<dl><dt>mask</dt>
<dd>A <code>NeuroVol</code> object representing the brain mask.</dd>
<dt>radius</dt>
<dd>A numeric value specifying the radius of the searchlight sphere
in voxel units. Default is 8.</dd>
<dt>iter</dt>
<dd>An integer specifying the total number of searchlights to sample.
Default is 100.</dd></dl>

Arguments

Create a bootstrap spherical searchlight iterator — bootstrap_searchlight

<dl>

<dt>mask</dt>
<dd>A <code>NeuroVol</code> object representing the brain mask.</dd>


<dt>radius</dt>
<dd>A numeric value specifying the radius of the searchlight sphere
in voxel units. Default is 8.</dd>


<dt>iter</dt>
<dd>An integer specifying the total number of searchlights to sample.
Default is 100.</dd>

</dl>

bootstrap_searchlight: Create a bootstrap spherical searchlight iterator

Description

Usage

Value

Arguments

Details

Examples