Quantifying information flowin fMRI using the Kullbakc-Leibler divergence

Abd Krim Seghouane

doi:10.1109/ISBI.2011.5872701

Quantifying information flowin fMRI using the Kullbakc-Leibler divergence

Abd Krim Seghouane^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Extracting the directional interaction between activated brain areas from functional magnetic resonance imaging (fMRI) time series measurements of their activity is a significant step in understanding the process of brain functions. In this paper, the directional interaction between fMRI time series characterizing the activity of two neuronal sites is quantified using a measure derived from the Kullback-Leibler divergence. A parametric approach based on the autoregressive (AR) and autoregressive exogenous (ARX) modelling is proposed for estimating this measure. The links between the proposed measure and other existing information measures for quantifying the directional interaction between neuronal sites is discussed. The significance and effectiveness of the proposed measure is illustrated on both simulated and real fMRI data sets.

Original language	English
Title of host publication	2011 8th IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	From Nano to Macro, ISBI'11
Pages	1569-1572
Number of pages	4
DOIs	https://doi.org/10.1109/ISBI.2011.5872701
Publication status	Published - 2011
Event	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States Duration: 30 Mar 2011 → 2 Apr 2011

Publication series

Name	Proceedings - International Symposium on Biomedical Imaging
ISSN (Print)	1945-7928
ISSN (Electronic)	1945-8452

Conference

Conference	2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
Country/Territory	United States
City	Chicago, IL
Period	30/03/11 → 2/04/11

Access to Document

10.1109/ISBI.2011.5872701

Cite this

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title = "Quantifying information flowin fMRI using the Kullbakc-Leibler divergence",

abstract = "Extracting the directional interaction between activated brain areas from functional magnetic resonance imaging (fMRI) time series measurements of their activity is a significant step in understanding the process of brain functions. In this paper, the directional interaction between fMRI time series characterizing the activity of two neuronal sites is quantified using a measure derived from the Kullback-Leibler divergence. A parametric approach based on the autoregressive (AR) and autoregressive exogenous (ARX) modelling is proposed for estimating this measure. The links between the proposed measure and other existing information measures for quantifying the directional interaction between neuronal sites is discussed. The significance and effectiveness of the proposed measure is illustrated on both simulated and real fMRI data sets.",

keywords = "Functional MRI, Kullback-Leibler divergence, effective connectivity, information flow",

author = "Seghouane, {Abd Krim}",

year = "2011",

doi = "10.1109/ISBI.2011.5872701",

language = "English",

isbn = "9781424441280",

series = "Proceedings - International Symposium on Biomedical Imaging",

pages = "1569--1572",

booktitle = "2011 8th IEEE International Symposium on Biomedical Imaging",

note = "2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 ; Conference date: 30-03-2011 Through 02-04-2011",

}

Seghouane, AK 2011, Quantifying information flowin fMRI using the Kullbakc-Leibler divergence. in 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11., 5872701, Proceedings - International Symposium on Biomedical Imaging, pp. 1569-1572, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 30/03/11. https://doi.org/10.1109/ISBI.2011.5872701

Quantifying information flowin fMRI using the Kullbakc-Leibler divergence. / Seghouane, Abd Krim.
2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11. 2011. p. 1569-1572 5872701 (Proceedings - International Symposium on Biomedical Imaging).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Quantifying information flowin fMRI using the Kullbakc-Leibler divergence

AU - Seghouane, Abd Krim

PY - 2011

Y1 - 2011

N2 - Extracting the directional interaction between activated brain areas from functional magnetic resonance imaging (fMRI) time series measurements of their activity is a significant step in understanding the process of brain functions. In this paper, the directional interaction between fMRI time series characterizing the activity of two neuronal sites is quantified using a measure derived from the Kullback-Leibler divergence. A parametric approach based on the autoregressive (AR) and autoregressive exogenous (ARX) modelling is proposed for estimating this measure. The links between the proposed measure and other existing information measures for quantifying the directional interaction between neuronal sites is discussed. The significance and effectiveness of the proposed measure is illustrated on both simulated and real fMRI data sets.

AB - Extracting the directional interaction between activated brain areas from functional magnetic resonance imaging (fMRI) time series measurements of their activity is a significant step in understanding the process of brain functions. In this paper, the directional interaction between fMRI time series characterizing the activity of two neuronal sites is quantified using a measure derived from the Kullback-Leibler divergence. A parametric approach based on the autoregressive (AR) and autoregressive exogenous (ARX) modelling is proposed for estimating this measure. The links between the proposed measure and other existing information measures for quantifying the directional interaction between neuronal sites is discussed. The significance and effectiveness of the proposed measure is illustrated on both simulated and real fMRI data sets.

KW - Functional MRI

KW - Kullback-Leibler divergence

KW - effective connectivity

KW - information flow

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U2 - 10.1109/ISBI.2011.5872701

DO - 10.1109/ISBI.2011.5872701

M3 - Conference contribution

SN - 9781424441280

T3 - Proceedings - International Symposium on Biomedical Imaging

SP - 1569

EP - 1572

BT - 2011 8th IEEE International Symposium on Biomedical Imaging

T2 - 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11

Y2 - 30 March 2011 through 2 April 2011

ER -

Quantifying information flowin fMRI using the Kullbakc-Leibler divergence

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