fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity
Abstract
The inter-subject alignment of functional MRI (fMRI) data is important for improving the statistical power of fMRI group analyses. In contrast to existing anatomically-based methods, we propose a novel multi-subject algorithm that derives a functional correspondence by aligning spatial patterns of functional connectivity across a set of subjects. We test our method on fMRI data collected during a movie viewing experiment. By cross-validating the results of our algorithm, we show that the correspondence successfully generalizes to a secondary movie dataset not used to derive the alignment.
Cite
Text
Conroy et al. "fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity." Neural Information Processing Systems, 2009.Markdown
[Conroy et al. "fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity." Neural Information Processing Systems, 2009.](https://mlanthology.org/neurips/2009/conroy2009neurips-fmribased/)BibTeX
@inproceedings{conroy2009neurips-fmribased,
title = {{fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity}},
author = {Conroy, Bryan and Singer, Ben and Haxby, James and Ramadge, Peter J.},
booktitle = {Neural Information Processing Systems},
year = {2009},
pages = {378-386},
url = {https://mlanthology.org/neurips/2009/conroy2009neurips-fmribased/}
}