Detail publikace

Brain: Anatomical connectivity for effective connectivity optimization

Originální název

Brain: Anatomical connectivity for effective connectivity optimization

Anglický název

Brain: Anatomical connectivity for effective connectivity optimization

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT107296,
  author="René {Labounek} and Jiří {Jan}",
  title="Brain: Anatomical connectivity for effective connectivity optimization",
  annote="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.",
  address="Brno university of Technology",
  booktitle="The proceedings of the 20th conference EEICT 2014",
  chapter="107296",
  edition="3",
  howpublished="print",
  institution="Brno university of Technology",
  year="2014",
  month="april",
  pages="237--241",
  publisher="Brno university of Technology",
  type="conference paper"
}