Neural decoding is method of analyzing neural data that  
    uses a pattern classifiers to predict experimental conditions based 
    on neural activity. 'NeuroDecodeR' is a system of objects that 
    makes it easy to run neural decoding analyses. For more information
    on neural decoding see Meyers & Kreiman (2011)
    <doi:10.7551/mitpress/8404.003.0024>.

Downloads and reads data from Human 'Connectome' Project 
    <https://balsa.wustl.edu/> using Amazon Web Services ('AWS') 
    'S3' buckets.

A collection of data structures that represent
    volumetric brain imaging data. The focus is on basic data handling for 3D
    and 4D neuroimaging data. In addition, there are function to read and write
    NIFTI files and limited support for reading AFNI files.

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>).

Contains functions to query and visualize the Neuroimaging features 
  associated with genetically regulated gene expression (GReX). The primary utility,
  neuroimaGene(), relies on a list of user-defined genes and returns a table of
  neuroimaging features (NIDPs) associated with each gene. This resource 
  is designed to assist in the interpretation of genome-wide and transcriptome-wide
  association studies that evaluate brain related traits. Bledsoe (2024) 
  <doi:10.1016/j.ajhg.2024.06.002>. In addition there are several visualization 
  functions that generate summary plots and 2-dimensional visualizations of regional 
  brain measures. Mowinckel (2020).