Publication result detail

Brain: Anatomical connectivity for effective connectivity optimization

LABOUNEK, R.; JAN, J.

Original Title

Brain: Anatomical connectivity for effective connectivity optimization

English Title

Brain: Anatomical connectivity for effective connectivity optimization

Type

Paper in proceedings (conference paper)

Original Abstract

The study deals with optimization of effective brain connectivity with prior knowledge based on anatomical connectivity. Main attention is dedicated to distributions of anatomical connectivity probabilities over population of examined subjects between regions of interest selected on the basis of fMRI activation maps with motor task. Closing part describes how parameters of distributions should affect effective connectivity estimation.

English abstract

The study deals with optimization of effective brain connectivity with prior knowledge based on anatomical connectivity. Main attention is dedicated to distributions of anatomical connectivity probabilities over population of examined subjects between regions of interest selected on the basis of fMRI activation maps with motor task. Closing part describes how parameters of distributions should affect effective connectivity estimation.

Keywords

anatomical and effective connectivity, fMRI, diffusion MRI, dynamic causal modelling

Key words in English

anatomical and effective connectivity, fMRI, diffusion MRI, dynamic causal modelling

Authors

LABOUNEK, R.; JAN, J.

Released

24.04.2014

Publisher

Brno university of Technology

Location

Brno

ISBN

978-80-214-4924-4

Book

The proceedings of the 20th conference EEICT 2014

Edition

3

Pages from

237

Pages to

241

Pages count

5

URL

http://www.feec.vutbr.cz/EEICT/2014/sbornik/03doktorskeprojekty/07biomedicinskeinzenyrstviabioinformatika/06-xlabou01@stud.feec.vutbr.cz.pdf

BibTex

@inproceedings{BUT107296,
  author="René {Labounek} and Jiří {Jan}",
  title="Brain: Anatomical connectivity for effective connectivity optimization",
  booktitle="The proceedings of the 20th conference EEICT 2014",
  year="2014",
  series="3",
  number="1",
  pages="237--241",
  publisher="Brno university of Technology",
  address="Brno",
  isbn="978-80-214-4924-4",
  url="http://www.feec.vutbr.cz/EEICT/2014/sbornik/03doktorskeprojekty/07biomedicinskeinzenyrstviabioinformatika/06-xlabou01@stud.feec.vutbr.cz.pdf"
}