This repository contains code from the paper "Mapping brain function in adults and young children during naturalistic viewing with high-density diffuse optical tomography". In particular, this repository contains a tutorial for feature mapping of animated movie clips. This tutorial includes a univariate (correlation) approach to feature mapping and a multivariate (general linear model) approach. Our univariate approach follows methods from "Mapping brain function during naturalistic viewing using high-density diffuse optical tomography" by Fishell et al.. In contrast, the multivariate approach follows "Mapping brain function in adults and young children during naturalistic viewing with high-density diffuse optical tomography" by Tripathy, Fogarty et al.
Corresponding data for this manuscript is available here: https://www.nitrc.org/frs/?group_id=1563
This repository requires the following software:
- NeuroDOT v1.4 (https://www.nitrc.org/projects/neurodot/)
- Matlab (including the Statistics and Machine Learning Toolbox)
Tripathy, K., Fogarty, M., Svoboda, A. M., Schroeder, M. L., Rafferty, S. M., Richter, E. J., Tracy, C., Mansfield, P. K., Booth, M., Fishell, A. K., Sherafati, A., Markow, Z. E., Wheelock, M. D., Arbeláez, A. M., Schlaggar, B. L., Smyser, C. D., Eggebrecht, A. T., & Culver, J. P. (2024). Mapping brain function in adults and young children during naturalistic viewing with high-density diffuse optical tomography. Human Brain Mapping, 45(7), e26684. https://doi.org/10.1002/hbm.26684