Publication detail

An updated software tool for group fmri data processing

Original Title

An updated software tool for group fmri data processing

Czech Title

An updated software tool for group fmri data processing

Language

cs

Original Abstract

This paper describes an updated version of MATLAB program proposed to help neuroscientists processing fMRI data, especially to optimize parameters of connectivity analysis in fMRI datasets, such as subjects and regions selection. Presented exploratory tool allows user to view both group and single-subject activation map at the same time, so he can evaluate similarity of brain activation patterns between subjects to ensure dataset consistency for subsequent group data processing.

Czech abstract

This paper describes an updated version of MATLAB program proposed to help neuroscientists processing fMRI data, especially to optimize parameters of connectivity analysis in fMRI datasets, such as subjects and regions selection. Presented exploratory tool allows user to view both group and single-subject activation map at the same time, so he can evaluate similarity of brain activation patterns between subjects to ensure dataset consistency for subsequent group data processing.

BibTex


@inproceedings{BUT107466,
  author="Tomáš {Slavíček} and Jiří {Jan}",
  title="An updated software tool for group fmri data processing",
  annote="This paper describes an updated version of MATLAB program proposed to help neuroscientists processing fMRI data, especially to optimize parameters of connectivity analysis in fMRI datasets, such as subjects and regions selection. Presented exploratory tool allows user to view both group and single-subject activation map at the same time, so he can evaluate similarity of brain activation patterns between subjects to ensure dataset consistency for subsequent group data processing.",
  address="Litera",
  booktitle="Proceedings of the 20th conference student eeict 2014",
  chapter="107466",
  edition="1",
  howpublished="print",
  institution="Litera",
  year="2014",
  month="april",
  pages="247--251",
  publisher="Litera",
  type="conference paper"
}