Estimation of the neuronal activation using fMRI data: An observer-based approach

Taous-Meriem Laleg-Kirati; Hossein Arabi; Mohamed Tadjine; Chadia Zayane

doi:10.1109/acc.2013.6580691

Estimation of the neuronal activation using fMRI data: An observer-based approach

Taous-Meriem Laleg-Kirati, Hossein Arabi, Mohamed Tadjine, Chadia Zayane

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

9 Scopus citations

Abstract

This paper deals with the estimation of the neuronal activation and some unmeasured physiological information using the Blood Oxygenation Level Dependent (BOLD) signal measured using functional Magnetic Resonance Imaging (fMRI). We propose to use an observer-based approach applied to the balloon hemodynamic model. The latter describes the relation between the neural activity and the BOLD signal. The balloon model can be expressed in a nonlinear state-space representation where the states, the parameters and the input (neuronal activation), are unknown. This study focuses only on the estimation of the hidden states and the neuronal activation. The model is first linearized around the equilibrium and an observer is applied to this linearized version. Numerical results performed on synthetic data are presented.

Original language	English (US)
Title of host publication	2013 American Control Conference
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)	9781479901777
DOIs	https://doi.org/10.1109/acc.2013.6580691
State	Published - Jun 2013

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title = "Estimation of the neuronal activation using fMRI data: An observer-based approach",

abstract = "This paper deals with the estimation of the neuronal activation and some unmeasured physiological information using the Blood Oxygenation Level Dependent (BOLD) signal measured using functional Magnetic Resonance Imaging (fMRI). We propose to use an observer-based approach applied to the balloon hemodynamic model. The latter describes the relation between the neural activity and the BOLD signal. The balloon model can be expressed in a nonlinear state-space representation where the states, the parameters and the input (neuronal activation), are unknown. This study focuses only on the estimation of the hidden states and the neuronal activation. The model is first linearized around the equilibrium and an observer is applied to this linearized version. Numerical results performed on synthetic data are presented.",

author = "Taous-Meriem Laleg-Kirati and Hossein Arabi and Mohamed Tadjine and Chadia Zayane",

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AU - Laleg-Kirati, Taous-Meriem

AU - Arabi, Hossein

AU - Tadjine, Mohamed

AU - Zayane, Chadia

N1 - KAUST Repository Item: Exported on 2020-10-01

PY - 2013/6

Y1 - 2013/6

N2 - This paper deals with the estimation of the neuronal activation and some unmeasured physiological information using the Blood Oxygenation Level Dependent (BOLD) signal measured using functional Magnetic Resonance Imaging (fMRI). We propose to use an observer-based approach applied to the balloon hemodynamic model. The latter describes the relation between the neural activity and the BOLD signal. The balloon model can be expressed in a nonlinear state-space representation where the states, the parameters and the input (neuronal activation), are unknown. This study focuses only on the estimation of the hidden states and the neuronal activation. The model is first linearized around the equilibrium and an observer is applied to this linearized version. Numerical results performed on synthetic data are presented.

AB - This paper deals with the estimation of the neuronal activation and some unmeasured physiological information using the Blood Oxygenation Level Dependent (BOLD) signal measured using functional Magnetic Resonance Imaging (fMRI). We propose to use an observer-based approach applied to the balloon hemodynamic model. The latter describes the relation between the neural activity and the BOLD signal. The balloon model can be expressed in a nonlinear state-space representation where the states, the parameters and the input (neuronal activation), are unknown. This study focuses only on the estimation of the hidden states and the neuronal activation. The model is first linearized around the equilibrium and an observer is applied to this linearized version. Numerical results performed on synthetic data are presented.

UR - http://hdl.handle.net/10754/564733

UR - http://ieeexplore.ieee.org/document/6580691/

U2 - 10.1109/acc.2013.6580691

DO - 10.1109/acc.2013.6580691

M3 - Conference contribution

SN - 9781479901777

BT - 2013 American Control Conference

PB - Institute of Electrical and Electronics Engineers (IEEE)

ER -

Estimation of the neuronal activation using fMRI data: An observer-based approach

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