IEICE TRANSACTIONS on Communications
On the Topological Changes of Brain Functional Networks under Priming and Ambiguity
Summary :
The relationship between different brain areas is characterized by functional networks through correlations of time series obtained from neuroimaging experiments. Due to its high spatial resolution, functional MRI data is commonly used for generating functional networks of the entire brain. These networks are comprised of the measurement points/channels as nodes and links are established if there is a correlation in the measured time series of these nodes. However, since the evaluation of correlation becomes more accurate with the length of the underlying time series, we construct in this paper functional networks from MEG data, which has a much higher time resolution than fMRI. We study in particular how the network topologies change in an experiment on ambiguity of words, where the subject first receives a priming word before being presented with an ambiguous or unambiguous target word.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E96-B No.11 pp.2741-2748
- Publication Date
- 2013/11/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.E96.B.2741
- Type of Manuscript
- Special Section PAPER (Special Section on Progress in Information Network Science)
- Category
Authors
Kenji LEIBNITZ
National Institute of Information and Communications Technology, and Osaka University
Tetsuya SHIMOKAWA
National Institute of Information and Communications Technology, and Osaka University
Aya IHARA
National Institute of Information and Communications Technology, and Osaka University
Norio FUJIMAKI
National Institute of Information and Communications Technology, and Osaka University
Ferdinand PEPER
National Institute of Information and Communications Technology, and Osaka University
Keyword
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Kenji LEIBNITZ, Tetsuya SHIMOKAWA, Aya IHARA, Norio FUJIMAKI, Ferdinand PEPER, "On the Topological Changes of Brain Functional Networks under Priming and Ambiguity" in IEICE TRANSACTIONS on Communications,
vol. E96-B, no. 11, pp. 2741-2748, November 2013, doi: 10.1587/transcom.E96.B.2741.
Abstract: The relationship between different brain areas is characterized by functional networks through correlations of time series obtained from neuroimaging experiments. Due to its high spatial resolution, functional MRI data is commonly used for generating functional networks of the entire brain. These networks are comprised of the measurement points/channels as nodes and links are established if there is a correlation in the measured time series of these nodes. However, since the evaluation of correlation becomes more accurate with the length of the underlying time series, we construct in this paper functional networks from MEG data, which has a much higher time resolution than fMRI. We study in particular how the network topologies change in an experiment on ambiguity of words, where the subject first receives a priming word before being presented with an ambiguous or unambiguous target word.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E96.B.2741/_p
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@ARTICLE{e96-b_11_2741,
author={Kenji LEIBNITZ, Tetsuya SHIMOKAWA, Aya IHARA, Norio FUJIMAKI, Ferdinand PEPER, },
journal={IEICE TRANSACTIONS on Communications},
title={On the Topological Changes of Brain Functional Networks under Priming and Ambiguity},
year={2013},
volume={E96-B},
number={11},
pages={2741-2748},
abstract={The relationship between different brain areas is characterized by functional networks through correlations of time series obtained from neuroimaging experiments. Due to its high spatial resolution, functional MRI data is commonly used for generating functional networks of the entire brain. These networks are comprised of the measurement points/channels as nodes and links are established if there is a correlation in the measured time series of these nodes. However, since the evaluation of correlation becomes more accurate with the length of the underlying time series, we construct in this paper functional networks from MEG data, which has a much higher time resolution than fMRI. We study in particular how the network topologies change in an experiment on ambiguity of words, where the subject first receives a priming word before being presented with an ambiguous or unambiguous target word.},
keywords={},
doi={10.1587/transcom.E96.B.2741},
ISSN={1745-1345},
month={November},}
Copy
TY - JOUR
TI - On the Topological Changes of Brain Functional Networks under Priming and Ambiguity
T2 - IEICE TRANSACTIONS on Communications
SP - 2741
EP - 2748
AU - Kenji LEIBNITZ
AU - Tetsuya SHIMOKAWA
AU - Aya IHARA
AU - Norio FUJIMAKI
AU - Ferdinand PEPER
PY - 2013
DO - 10.1587/transcom.E96.B.2741
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E96-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2013
AB - The relationship between different brain areas is characterized by functional networks through correlations of time series obtained from neuroimaging experiments. Due to its high spatial resolution, functional MRI data is commonly used for generating functional networks of the entire brain. These networks are comprised of the measurement points/channels as nodes and links are established if there is a correlation in the measured time series of these nodes. However, since the evaluation of correlation becomes more accurate with the length of the underlying time series, we construct in this paper functional networks from MEG data, which has a much higher time resolution than fMRI. We study in particular how the network topologies change in an experiment on ambiguity of words, where the subject first receives a priming word before being presented with an ambiguous or unambiguous target word.
ER -
English
