Haut PDF Subject-level Joint Parcellation-Detection-Estimation in fMRI
Subject-level Joint Parcellation-Detection-Estimation in fMRI
... Subject-level Joint Parcellation-Detection-Estimation in fMRI Lotfi CHAARI Member, Solveig BADILLO, Thomas VINCENT, Ghislaine DEHAENE-LAMBERTZ, Florence FORBES and ...
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Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework
... improve detection performance. To capture this variability, robust HRF estimation is necessary which can be achieved only in voxels or regions that elicit an evoked response to a given stimulus ...
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Multi-subject joint parcellation detection estimation in functional MRI
... multi-subject fMRI analysis. Besides, the JDE model has been used in a multi-subject context [6] but the parcellation remained fixed a priori and identical across ...proposed in ...
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Multi-subject joint parcellation detection estimation in functional MRI
... multi-subject fMRI analysis. Besides, the JDE model has been used in a multi-subject context [6] but the parcellation remained fixed a priori and identical across ...proposed in ...
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Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach
... used in brain mapping as well as in functional connectivity study in order to probe the specialization and integration processes in sensory, motor and cognitive brain regions ...[2–4]. ...
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Multi-session extension of the joint-detection framework in fMRI
... JDE, fMRI, Bayesian inference, multisession 1. INTRODUCTION In the context of fMRI data analyses, the present paper is a contribu- tion to encoding ...methods. In such studies, two main ...
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Group-level impacts of within- and between-subject hemodynamic variability in fMRI
... activation detection and robust HRF estimation are ...performed in the General Lin- ear Model (GLM) context and postulates an invariant or canonical form for the HRF throughout the ...24]. In ...
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Fast joint detection-estimation of evoked brain activity in event-related fmri using a variational approach
... recovered in the occipital region and the overall cluster localizations are consistent for both MCMC and VEM ...lies in the temporal auditory regions, especially on the right side, where VEM yields rather ...
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IMPACT OF THE JOINT DETECTION-ESTIMATION APPROACH ON RANDOM EFFECTS GROUP STUDIES IN FMRI
... classical fMRI analysis framework is sum- marized in Section ...presented in Sec- tion 3. It relies on a prior parcellation of fMRI data, which derives from a clustering procedure that ...
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Application and validation of spatial mixture modelling for the joint detection-estimation of brain activity in fMRI.
... smoothing level used when spatially filtering the ...samples in a Markov Chain Monte Carlo (MCMC) procedure. In [2], this SMM approach was shown to give a significant gain in terms of ...
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Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis
... Introduction In fMRI, one usually resorts to spatial filtering to enhance the signal-to-noise ratio at the expense of a loss of spatial ...used in seg- mentation and clustering, typically involve a ...
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Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI
... The detection of the evoked activity and the estimation of the dynamics have been mainly addressed as two separate tasks while each of them depends on the ...achievable in brain regions eliciting ...
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Hemodynamically informed parcellation of cerebral FMRI data
... Terms— joint detection-estimation, hemodynam- ics, Gaussian mixtures, parcellation, brain ...Blood-oxygen- level-dependent (BOLD) signal [1], which captures the vari- ation in ...
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A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.
... our joint detection- estimation technique is able to identify deactivations in the ...class in the prior mixture model associ- ated to the ...datasets. In the future, we should ...
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A group model for stable multi-subject ICA on fMRI datasets.
... patterns in fMRI volumes and an associated estimation procedure to extract group-level ICA maps modeling subject ...lies in the identification of a subspace of reproducible ...
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Impact of the joint detection-estimation approach on random effects group studies in fMRI
... classical fMRI analysis framework is sum- marized in Section ...presented in Sec- tion ??. It relies on a prior parcellation of fMRI data, which derives from a clustering procedure that ...
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Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data
... using fMRI is mainly conducted through the BOLD fMRI modality, owing to its relatively high signal-to-noise ratio (SNR), ASL fMRI provides a more interpretable measure of cerebral vasoreactivity than ...
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A joint detection-estimation framework for analysing within-subject fMRI data
... Abstract: In this paper, we review classical and advanced methodologies for analysing within-subject functional Magnetic Resonance Imaging (fMRI) ...the subject in the scanner and ...
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Robust voxel-wise Joint Detection Estimation of Brain Activity in fMRI
... signal detection, Magnetic resonance ...analysis in event-related fMRI first relies on (i) a detection step to localize which parts of the brain are acti- vated by a given stimulus type, and ...
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Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints
... Conclusion In this chapter, we introduced the JPDE model which is an extension of the parcel-based JDE ...responses in a given ...the parcellation to be fixed a priori by, ...and estimation ...
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