nirs-toolbox

The Github repository for the AnalyzIR Toolbox
The NIRS toolbox is s a Matlab based analysis program for NIRS that focuses on statistical analysis for functional and resting state studies. Developed an maintained by Dr. Ted Huppert’s lab at University of Pittsburgh.
http://huppertlab.net/nirs-toolbox-2/
And can be sited as: Santosa, H., Zhai, X., Fishburn, F., & Huppert, T. (2018). The NIRS brain AnalyzIR toolbox. Algorithms, 11(5), 73.
In order to get started with nirs toolbox first install Matlab and use github to download the latest release of nirs-toolbox. Then add the directories to Matlab

Add directories to the Matlab Path

Note folders that start with “+”
(e.g. /+nirs) denote Matlab namespaces
and cannot be added directly to the
path. You must add the parent folder
containing this namespace.

Add folder
/nirs-toolbox
Add with Subfolders
/nirs-toolbox/external
/nirs-toolbox/demos

Tutorial

A full tutorial on nirs-toolbox is available here:
http://huppertlab.net/wp-content/uploads/2018/05/1.1_Intro_Toolbox.pdf

Demos

The toolbox includes several demos. Click below for a full walk through of some of these demos.

fnirs_analysis.m

http://huppertlab.net/auto-draft/
A demo that shows the basic structure of the toolbox and introduces the data, probe, and channelStats classes. This shows a basic first level statistical analysis. Data is downloaded from the web for the example.

code_testing_demo.m

http://huppertlab.net/code_testing_demo-m/
This demo shows how to do regression testing of the toolbox’s main data types. This also demonstrates the built in receiver-operator-characteristic (ROC) analysis tools.

compare_software_demo.m

http://huppertlab.net/compare_software_demo-m/ (Not yet completed)
This demo takes data through HOMER, AR-IRLS, and NIRS-SPM tools to compare the sensitivity and specificity of the GLM statistics.