Multimodal topics in the NIRS Brain AnalyzIR Toolbox
Theodore Huppert, Hendrik Santosa, Xuetong Zhai, University of Pittsburgh
Duration: 90 min
Capacity: 20
Level: Advanced
Data Analysis Toolbox
Requirements: Laptop; Matlab, Brain AnalyzIR pre-installed
Synopsis: The fNIRS Brain AnalyzIR toolbox (www.bitbucket.org/huppertt/nirs-toolbox) is an open source, object oriented, Matlab toolbox for fNIRS analysis. This advanced course will cover topics including: Sensitivity-specificity analysis for algorithm development and comparisons; Single and group-level image reconstruction methods and statistics; Functional connectivity and hyper-scanning analysis; Modeling head size and placement variations in group level statistical models
Learning Objectives:
- Introduction to the +eeg and fMRI extensions to the NIRS toolbox
- Joint statistical models and multimodal image reconstruction
- Incorporating subject-specific anatomical models in the toolbox
- Multimodal filtering methods
- Neural-vascular models
Requirements: Users familiar with the Brain AnalyzIR toolbox and object-oriented Matlab programming.
You are expected to bring a laptop with Matlab and Brain AnalyzIR installed. You can download Brain AnalyzIR toolbox from our website https://bitbucket.org/huppertt/nirs-toolbox/wiki/Home for free. Also please run the toolbox demo files “code_testing_demo.m” which checks that the toolbox is
installed properly and “fnirs_analysis_demo.m” which will download a dataset from the web and runs basic analysis steps.