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Conference papers

Model Selection for Hemodynamic Brain Parcellation in fMRI

Mohanad Albughdadi 1 Lotfi Chaari 1 Florence Forbes 2 Jean-Yves Tourneret 3 Philippe Ciuciu 4
1 IRIT-TCI - Traitement et Compréhension d’Images
IRIT - Institut de recherche en informatique de Toulouse
2 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
3 IRIT-SC - Signal et Communications
IRIT - Institut de recherche en informatique de Toulouse
4 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
Abstract : Brain parcellation into a number of hemodynamically homogeneous regions (parcels) is a challenging issue in fMRI analyses. This task has been recently integrated in the joint detection-estimation (JDE) resulting in the so-called joint detection-parcellation-estimation (JPDE) model. JPDE automatically estimates the parcels from the fMRI data but requires the desired number of parcels to be fixed. This is potentially critical in that the chosen number of parcels may influence detection-estimation performance. In this paper, we propose a model selection procedure to automatically fix the number of parcels from the data. The selection procedure relies on the calculation of the free energy corresponding to each concurrent model, within the variational expectation maximization framework. Experiments on synthetic and real fMRI data demonstrate the ability of the proposed procedure to select an adequate number of parcels.
Keywords : fMRI JDE Parcellation JPDE
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Conference papers
Complete list of metadatas
https://hal.inria.fr/hal-01107475
Contributor : Florence Forbes <>
Submitted on : Tuesday, January 20, 2015 - 5:51:19 PM
Last modification on : Friday, November 27, 2020 - 3:32:03 PM

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  • HAL Id : hal-01107475, version 1

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CNRS | INRIA | INSMI | LJK | LJK_PS | LJK_PS_MISTIS | UNIV-TLSE2 | SMS | CEA | CEA-DRF | JOLIOT | NEUROSPIN | UNIV-TLSE3 | UT1-CAPITOLE | IRIT | IRIT-SC | IRIT-TCI | UGA

Citation

Mohanad Albughdadi, Lotfi Chaari, Florence Forbes, Jean-Yves Tourneret, Philippe Ciuciu. Model Selection for Hemodynamic Brain Parcellation in fMRI. EUSIPCO - 22nd European Signal Processing Conference, Sep 2014, Lisbon, Portugal. pp.31 - 35. ⟨hal-01107475⟩

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