@inproceedings{78b8c87de9fc4b20ae582c8bc2df3870,
title = "Model-free region of interest based analysis of fMRI data",
abstract = "Blind source separation is beeing established as a new kind of analysis method in the field of fMRI data analysis. Its model-free approach renders it an important tool for investigation. In this article we present a method based on BSS/ICA to create a region of interest (ROI) mask for a BSS based fMRI data analysis. This eliminates a commonly necessary model-based step in fMRI data analysis. We demonstrate our approach on a real world fMRI data set example.",
author = "Keck, \{I. R.\} and Theis, \{F. J.\} and P. Gruber and Lang, \{E. W.\} and J. Churan and Puntonet, \{C. G.\}",
year = "2006",
language = "English",
isbn = "1424400872",
series = "Proceedings of the Mediterranean Electrotechnical Conference - MELECON",
pages = "478--481",
booktitle = "2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 - Circuits and Systems for Signal Processing, lnformation and Communication Technologies, and Power Sources and Systems",
note = "2006 IEEE Mediterranean Electrotechnical Conference, MELECON 2006 ; Conference date: 16-05-2006 Through 19-05-2006",
}