Time domain fNIRS
Alessandro Torricelli, Davide Contini, Lorenzo Spinelli, Politecnico di Milano – Dipartimento di Fisica, and Istituto di Fotonica e Nanotecnologie, Consiglio Nazionale delle Ricerche, Milan, Italy
Duration: 180 min
Capacity: 15
Level: Introductory
Demo Tech.
Requirements: None
Synopsis: In the next future thanks to the recent technological development TD fNIRS systems will be more and more accessible to the fNIRS community. The mini course will provide a comprehensive introduction to TD fNIRS for both beginners and advanced fNIRS users. The mini-course is composed of a theory section where we will introduce the principles of TD fNIRS, and of a hands-on section in which we will demonstrate TD fNIRS features by means of a state-of-the art compact TD fNIRS setup.
Course structure:
- Principles of TD fNIRS
- Basics of NIRS
- The classical TD NIRS approach
- The null source detector distance TD NIRS approach
- TD fNIRS modeling and data analysis
- Forward model
- Inverse model
- Semi-empirical approaches
- TD fNIRS features
- Quantification (homogeneous, perturbation, two-layer, tomography)
- Reproducibility
- Penetration depth
- Depth selectivity
- Spatial resolution
- Contrast-to-noise ratio
- TD fNIRS instrumentation
- Light sources
- Detection techniques
- Delivery and collection system
- Effect of IRF
- TD fNIRS systems
- Traditional TD fNIRS systems
- State-of-the-art TD fNIRS systems
- Co-registration with other modalities (DCS, US, EEG, …)
- Next generation TD fNIRS systems
- Hands-on demonstration
- Introduction
- Basic measurements: IRF, DTOF
- Measurements on homogeneous phantoms (e.g. absorption and scattering linearity)
- Measurements on heterogeneous phantoms (e.g. phantom switchable)
- Measurements in vivo (general): estimate of optical properties and DPF
- Measurements in vivo (muscle): cuff occlusion (venous, arterial) of the arm
- Measurements in vivo (brain): finger tapping
Learning objectives:
- Basic TD fNIRS theory
- Main components of a TD fNIRS system
- Basic TD fNIRS data analysis
- TD fNIRS advantages and limitations