IEEE Life Sciences Grand Challenges Conference , 2013-12-02

Title : ( Dynamics of effective brain connectivity during working memory: potential for a new brain computer interface system )

Authors: Sahar Moghimi , Hossein Shahabi , Ali Moghimi ,

Citation: BibTeX | EndNote

Effective connectivity between different brain regions during a working memory (WM) task is assessed using time-varying dynamic Bayesian networks (TV -DBN) and EEG signals.In -Degree connectivity to frontal electrodes in theta band showed higher values during execution and manipulation periods of a low demand WM task compared to those of a more difficult one. In contrast, stronger frontal connectivity manifested during the maintenance period, as a result of increased task difficulty. Utilizing the connectivity values among a few EEG channels and TV-DBN, which is a computationally efficient algorithm, we propose a new brain computer interface (BCI) system

Keywords

, Effective connectivity, brain networks, working memory, brain computer
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@inproceedings{paperid:1041503,
author = {Moghimi, Sahar and Shahabi, Hossein and Moghimi, Ali},
title = {Dynamics of effective brain connectivity during working memory: potential for a new brain computer interface system},
booktitle = {IEEE Life Sciences Grand Challenges Conference},
year = {2013},
location = {University Town},
keywords = {Effective connectivity; brain networks; working memory; brain computer interface},
}

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%0 Conference Proceedings
%T Dynamics of effective brain connectivity during working memory: potential for a new brain computer interface system
%A Moghimi, Sahar
%A Shahabi, Hossein
%A Moghimi, Ali
%J IEEE Life Sciences Grand Challenges Conference
%D 2013

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