Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound

Sofia Eirini Kotti; Aybuke Erol; Borbala Hunyadi

doi:10.1109/ICASSPW59220.2023.10193541

Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound

Sofia Eirini Kotti^*, Aybuke Erol, Borbala Hunyadi

^*Corresponding author for this work

Signal Processing Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

Functional ultrasound (fUS) is a high-sensitivity neuroimaging technique that images cerebral blood volume changes, which reflect neuronal activity in the corresponding brain area. fUS measures hemodynamic changes which are typically modeled as the output of a linear time-invariant system, characterized by an impulse response known as the hemodynamic response function (HRF), and a binary representation of the stimulus signal as input. In this work, we quantify the difference between a linear and a nonlinear time-invariant HRF model in terms of data fitting and prediction performance. Our results on fUS data obtained from two mice reveal that: (a) including nonlinearities in the HRF achieves a significantly more precise modeling of the fUS signal compared to the linear assumption under certain stimulus conditions and (b) a second-order Volterra series approximation can be used to characterize the nonlinear model and predict responses to stimuli.

Original language	English
Title of host publication	ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)	9798350302615
DOIs	https://doi.org/10.1109/ICASSPW59220.2023.10193541
Publication status	Published - 2023
Event	2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023 - Rhodes Island, Greece Duration: 4 Jun 2023 → 10 Jun 2023

Publication series

Name	ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

Conference

Conference	2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023
Country/Territory	Greece
City	Rhodes Island
Period	4/06/23 → 10/06/23

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

(nonlinear) hemodynamic response
Functional ultrasound
Volterra series

Access to Document

10.1109/ICASSPW59220.2023.10193541

Cite this

Kotti, S. E., Erol, A., & Hunyadi, B. (2023). Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound. In ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICASSPW59220.2023.10193541

Kotti, Sofia Eirini ; Erol, Aybuke ; Hunyadi, Borbala. / Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound. ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2023. (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings).

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title = "Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound",

abstract = "Functional ultrasound (fUS) is a high-sensitivity neuroimaging technique that images cerebral blood volume changes, which reflect neuronal activity in the corresponding brain area. fUS measures hemodynamic changes which are typically modeled as the output of a linear time-invariant system, characterized by an impulse response known as the hemodynamic response function (HRF), and a binary representation of the stimulus signal as input. In this work, we quantify the difference between a linear and a nonlinear time-invariant HRF model in terms of data fitting and prediction performance. Our results on fUS data obtained from two mice reveal that: (a) including nonlinearities in the HRF achieves a significantly more precise modeling of the fUS signal compared to the linear assumption under certain stimulus conditions and (b) a second-order Volterra series approximation can be used to characterize the nonlinear model and predict responses to stimuli. ",

keywords = "(nonlinear) hemodynamic response, Functional ultrasound, Volterra series",

author = "Kotti, {Sofia Eirini} and Aybuke Erol and Borbala Hunyadi",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. ; 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023 ; Conference date: 04-06-2023 Through 10-06-2023",

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Kotti, SE , Erol, A & Hunyadi, B 2023, Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound. in ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings, Institute of Electrical and Electronics Engineers (IEEE), 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023, Rhodes Island, Greece, 4/06/23. https://doi.org/10.1109/ICASSPW59220.2023.10193541

Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound. / Kotti, Sofia Eirini ; Erol, Aybuke ; Hunyadi, Borbala.

ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 2023. (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound

AU - Kotti, Sofia Eirini

AU - Erol, Aybuke

AU - Hunyadi, Borbala

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2023

Y1 - 2023

N2 - Functional ultrasound (fUS) is a high-sensitivity neuroimaging technique that images cerebral blood volume changes, which reflect neuronal activity in the corresponding brain area. fUS measures hemodynamic changes which are typically modeled as the output of a linear time-invariant system, characterized by an impulse response known as the hemodynamic response function (HRF), and a binary representation of the stimulus signal as input. In this work, we quantify the difference between a linear and a nonlinear time-invariant HRF model in terms of data fitting and prediction performance. Our results on fUS data obtained from two mice reveal that: (a) including nonlinearities in the HRF achieves a significantly more precise modeling of the fUS signal compared to the linear assumption under certain stimulus conditions and (b) a second-order Volterra series approximation can be used to characterize the nonlinear model and predict responses to stimuli.

AB - Functional ultrasound (fUS) is a high-sensitivity neuroimaging technique that images cerebral blood volume changes, which reflect neuronal activity in the corresponding brain area. fUS measures hemodynamic changes which are typically modeled as the output of a linear time-invariant system, characterized by an impulse response known as the hemodynamic response function (HRF), and a binary representation of the stimulus signal as input. In this work, we quantify the difference between a linear and a nonlinear time-invariant HRF model in terms of data fitting and prediction performance. Our results on fUS data obtained from two mice reveal that: (a) including nonlinearities in the HRF achieves a significantly more precise modeling of the fUS signal compared to the linear assumption under certain stimulus conditions and (b) a second-order Volterra series approximation can be used to characterize the nonlinear model and predict responses to stimuli.

KW - (nonlinear) hemodynamic response

KW - Functional ultrasound

KW - Volterra series

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M3 - Conference contribution

AN - SCOPUS:85168244260

T3 - ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

BT - ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, ICASSPW 2023

Y2 - 4 June 2023 through 10 June 2023

ER -

Kotti SE , Erol A , Hunyadi B. Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound. In ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings. Institute of Electrical and Electronics Engineers (IEEE). 2023. (ICASSPW 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing Workshops, Proceedings). doi: 10.1109/ICASSPW59220.2023.10193541

Modeling Nonlinear Evoked Hemodynamic Responses in Functional Ultrasound

Abstract

Publication series

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Bibliographical note

Keywords

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