Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method

Anna Korzeniewska; Małgorzata Mańczak; Maciej Kamiński; Katarzyna J. Blinowska; Stefan Kasicki

doi:10.1016/S0165-0270(03)00052-9

Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method

Anna Korzeniewska, Małgorzata Mańczak, Maciej Kamiński, Katarzyna J. Blinowska, Stefan Kasicki

Research output: Contribution to journal › Article › peer-review

247 Scopus citations

Abstract

A modification of directed transfer function - direct DTF - is proposed for the analysis of direct information transfer among brain structures on the basis of local field potentials (LFP). Comparison of results obtained by the analysis of simulated and experimental data with a new dDTF and DTF method is shown. A new measure to estimate direct causal relations between signals is defined. The present results demonstrate the effectiveness of the new dDTF method and indicate that the dDTF method can be used to obtain the reliable patterns of connections between various brain structures.

Original language	English (US)
Pages (from-to)	195-207
Number of pages	13
Journal	Journal of Neuroscience Methods
Volume	125
Issue number	1-2
DOIs	https://doi.org/10.1016/S0165-0270(03)00052-9
State	Published - May 30 2003
Externally published	Yes

Keywords

Brain rhythms
Causal relations between structures
Direct information flow
Directed transfer function method (DTF)
EEG propagation
Multichannel autoregressive model

ASJC Scopus subject areas

General Neuroscience

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10.1016/S0165-0270(03)00052-9

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title = "Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method",

abstract = "A modification of directed transfer function - direct DTF - is proposed for the analysis of direct information transfer among brain structures on the basis of local field potentials (LFP). Comparison of results obtained by the analysis of simulated and experimental data with a new dDTF and DTF method is shown. A new measure to estimate direct causal relations between signals is defined. The present results demonstrate the effectiveness of the new dDTF method and indicate that the dDTF method can be used to obtain the reliable patterns of connections between various brain structures.",

keywords = "Brain rhythms, Causal relations between structures, Direct information flow, Directed transfer function method (DTF), EEG propagation, Multichannel autoregressive model",

author = "Anna Korzeniewska and Ma{\l}gorzata Ma{\'n}czak and Maciej Kami{\'n}ski and Blinowska, {Katarzyna J.} and Stefan Kasicki",

note = "Funding Information: We would like to thank our colleagues J{\'o}zef Ginter and Rafa{\l} Ku{\'s} from Laboratory of Medical Physics for their assistance and Dr Piotr Franaszczuk for helpful discussions. This work was performed with funding from the Polish State Committee for Scientific Research Grant No. 6 P04C 06819, a statutory grant from the Nencki Institute of Experimental Biology, and partly by a grant of Polish State Committee for Scientific Research to the Institute of Experimental Physics, Warsaw University. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.",

year = "2003",

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doi = "10.1016/S0165-0270(03)00052-9",

language = "English (US)",

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T1 - Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method

AU - Korzeniewska, Anna

AU - Mańczak, Małgorzata

AU - Kamiński, Maciej

AU - Blinowska, Katarzyna J.

AU - Kasicki, Stefan

N1 - Funding Information: We would like to thank our colleagues Józef Ginter and Rafał Kuś from Laboratory of Medical Physics for their assistance and Dr Piotr Franaszczuk for helpful discussions. This work was performed with funding from the Polish State Committee for Scientific Research Grant No. 6 P04C 06819, a statutory grant from the Nencki Institute of Experimental Biology, and partly by a grant of Polish State Committee for Scientific Research to the Institute of Experimental Physics, Warsaw University. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.

PY - 2003/5/30

Y1 - 2003/5/30

N2 - A modification of directed transfer function - direct DTF - is proposed for the analysis of direct information transfer among brain structures on the basis of local field potentials (LFP). Comparison of results obtained by the analysis of simulated and experimental data with a new dDTF and DTF method is shown. A new measure to estimate direct causal relations between signals is defined. The present results demonstrate the effectiveness of the new dDTF method and indicate that the dDTF method can be used to obtain the reliable patterns of connections between various brain structures.

AB - A modification of directed transfer function - direct DTF - is proposed for the analysis of direct information transfer among brain structures on the basis of local field potentials (LFP). Comparison of results obtained by the analysis of simulated and experimental data with a new dDTF and DTF method is shown. A new measure to estimate direct causal relations between signals is defined. The present results demonstrate the effectiveness of the new dDTF method and indicate that the dDTF method can be used to obtain the reliable patterns of connections between various brain structures.

KW - Brain rhythms

KW - Causal relations between structures

KW - Direct information flow

KW - Directed transfer function method (DTF)

KW - EEG propagation

KW - Multichannel autoregressive model

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SN - 0165-0270

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SP - 195

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JO - Journal of Neuroscience Methods

JF - Journal of Neuroscience Methods

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Determination of information flow direction among brain structures by a modified directed transfer function (dDTF) method

Abstract

Keywords

ASJC Scopus subject areas

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