Publication detail

An updated software tool for group fmri data processing

SLAVÍČEK, T. JAN, J.

Original Title

An updated software tool for group fmri data processing

English Title

An updated software tool for group fmri data processing

Type

conference paper

Language

Czech

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.

English 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.

Keywords

fMRI, connectivity, DCM, group analysis, general linear model, MATLAB

Key words in English

fMRI, connectivity, DCM, group analysis, general linear model, MATLAB

Authors

SLAVÍČEK, T.; JAN, J.

RIV year

2014

Released

24. 4. 2014

Publisher

Litera

Location

Brno

ISBN

978-80-214-4924-4

Book

Proceedings of the 20th conference student eeict 2014

Edition

1

Edition number

1

Pages from

247

Pages to

251

Pages count

5

BibTex

@inproceedings{BUT107466,
  author="Tomáš {Slavíček} and Jiří {Jan}",
  title="An updated software tool for group fmri data processing",
  booktitle="Proceedings of the 20th conference student eeict 2014",
  year="2014",
  series="1",
  number="1",
  pages="247--251",
  publisher="Litera",
  address="Brno",
  isbn="978-80-214-4924-4"
}