A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis
Machine Learning
2016-09-30 v1 Computer Vision and Pattern Recognition
Neurons and Cognition
Abstract
There is a growing interest in joint multi-subject fMRI analysis. The challenge of such analysis comes from inherent anatomical and functional variability across subjects. One approach to resolving this is a shared response factor model. This assumes a shared and time synchronized stimulus across subjects. Such a model can often identify shared information, but it may not be able to pinpoint with high resolution the spatial location of this information. In this work, we examine a searchlight based shared response model to identify shared information in small contiguous regions (searchlights) across the whole brain. Validation using classification tasks demonstrates that we can pinpoint informative local regions.
Cite
@article{arxiv.1609.09432,
title = {A Searchlight Factor Model Approach for Locating Shared Information in Multi-Subject fMRI Analysis},
author = {Hejia Zhang and Po-Hsuan Chen and Janice Chen and Xia Zhu and Javier S. Turek and Theodore L. Willke and Uri Hasson and Peter J. Ramadge},
journal= {arXiv preprint arXiv:1609.09432},
year = {2016}
}