Selection of temporal models for event-related fMRI

Sophie Donnet; Marc Lavielle; Philippe Ciuciu; Jean Baptiste Paline

doi:10.1109/ISBI.2004.1398707

Selection of temporal models for event-related fMRI

Sophie Donnet
, Marc Lavielle
, Philippe Ciuciu
, Jean Baptiste Paline

Laboratoire de Mathématiques d'Orsay
CEA
IFR 49

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

4 Citations (Scopus)

Résumé

In functional Magnetic Resonance Imaging (fMRI), recent works have addressed the non parametric estimation of the Hemodynamic Response Function (HRF) under linearity and stationarity in time hypotheses. We propose to test a more flexible model that allows for the variation of the magnitude of the HRF with time. Under this model, the magnitude of the HRF evoked by a single event may vary with other occurrences of the same kind of event. This model is tested against a simpler model with a fixed magnitude. We develop a stochastic version of the EM algorithm to identify the magnitudes and the HRF. We also address the problem of model specification. It is usually assumed that every event type evokes a response. Our scheme uses a model selection approach which provides the best subset of event types maximizing the likelihood of the fMRI signal. Our methodology is exemplified by simulated and fMRI data.

langue originale	Anglais
titre	2004 2nd IEEE International Symposium on Biomedical Imaging
Sous-titre	Macro to Nano
Editeur	Institute of Electrical and Electronics Engineers Inc.
Pages	992-995
Nombre de pages	4
ISBN (imprimé)	0780383885, 9780780383883
Les DOIs	https://doi.org/10.1109/ISBI.2004.1398707
état	Publié - 1 janv. 2004
Modification externe	Oui
Evénement	2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, ISBI 2004 - Arlington, VA, États-Unis Durée: 18 avr. 2004 → 18 avr. 2004

Série de publications

Nom	2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume	1

Une conférence

Une conférence	2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, ISBI 2004
Pays/Territoire	États-Unis
La ville	Arlington, VA
période	18/04/04 → 18/04/04

Accès au document

10.1109/ISBI.2004.1398707

Contient cette citation

Donnet, S., Lavielle, M., Ciuciu, P., & Paline, J. B. (2004). Selection of temporal models for event-related fMRI. Dans 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (p. 992-995). (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ISBI.2004.1398707

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title = "Selection of temporal models for event-related fMRI",

abstract = "In functional Magnetic Resonance Imaging (fMRI), recent works have addressed the non parametric estimation of the Hemodynamic Response Function (HRF) under linearity and stationarity in time hypotheses. We propose to test a more flexible model that allows for the variation of the magnitude of the HRF with time. Under this model, the magnitude of the HRF evoked by a single event may vary with other occurrences of the same kind of event. This model is tested against a simpler model with a fixed magnitude. We develop a stochastic version of the EM algorithm to identify the magnitudes and the HRF. We also address the problem of model specification. It is usually assumed that every event type evokes a response. Our scheme uses a model selection approach which provides the best subset of event types maximizing the likelihood of the fMRI signal. Our methodology is exemplified by simulated and fMRI data.",

author = "Sophie Donnet and Marc Lavielle and Philippe Ciuciu and Paline, \{Jean Baptiste\}",

year = "2004",

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doi = "10.1109/ISBI.2004.1398707",

language = "English",

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series = "2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "992--995",

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note = "2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, ISBI 2004 ; Conference date: 18-04-2004 Through 18-04-2004",

}

Donnet, S, Lavielle, M, Ciuciu, P & Paline, JB 2004, Selection of temporal models for event-related fMRI. Dans 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, VOL. 1, Institute of Electrical and Electronics Engineers Inc., p. 992-995, 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano, ISBI 2004, Arlington, VA, États-Unis, 18/04/04. https://doi.org/10.1109/ISBI.2004.1398707

Selection of temporal models for event-related fMRI. / Donnet, Sophie; Lavielle, Marc; Ciuciu, Philippe et al.
2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano. Institute of Electrical and Electronics Engineers Inc., 2004. p. 992-995 (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol 1).

Résultats de recherche: Le chapitre dans un livre, un rapport, une anthologie ou une collection › Contribution à une conférence › Revue par des pairs

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AU - Lavielle, Marc

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N2 - In functional Magnetic Resonance Imaging (fMRI), recent works have addressed the non parametric estimation of the Hemodynamic Response Function (HRF) under linearity and stationarity in time hypotheses. We propose to test a more flexible model that allows for the variation of the magnitude of the HRF with time. Under this model, the magnitude of the HRF evoked by a single event may vary with other occurrences of the same kind of event. This model is tested against a simpler model with a fixed magnitude. We develop a stochastic version of the EM algorithm to identify the magnitudes and the HRF. We also address the problem of model specification. It is usually assumed that every event type evokes a response. Our scheme uses a model selection approach which provides the best subset of event types maximizing the likelihood of the fMRI signal. Our methodology is exemplified by simulated and fMRI data.

AB - In functional Magnetic Resonance Imaging (fMRI), recent works have addressed the non parametric estimation of the Hemodynamic Response Function (HRF) under linearity and stationarity in time hypotheses. We propose to test a more flexible model that allows for the variation of the magnitude of the HRF with time. Under this model, the magnitude of the HRF evoked by a single event may vary with other occurrences of the same kind of event. This model is tested against a simpler model with a fixed magnitude. We develop a stochastic version of the EM algorithm to identify the magnitudes and the HRF. We also address the problem of model specification. It is usually assumed that every event type evokes a response. Our scheme uses a model selection approach which provides the best subset of event types maximizing the likelihood of the fMRI signal. Our methodology is exemplified by simulated and fMRI data.

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DO - 10.1109/ISBI.2004.1398707

M3 - Conference contribution

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T3 - 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano

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PB - Institute of Electrical and Electronics Engineers Inc.

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ER -

Selection of temporal models for event-related fMRI

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