[PDF] Top 20 Multi-subject joint parcellation detection estimation in functional MRI
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Multi-subject joint parcellation detection estimation in functional MRI
... brain parcellation. However, so far, the JPDE model has not been used for multi-subject fMRI ...used in a multi-subject context [6] but the parcellation remained fixed a ... Voir le document complet
5
Multi-subject joint parcellation detection estimation in functional MRI
... brain parcellation. However, so far, the JPDE model has not been used for multi-subject fMRI ...used in a multi-subject context [6] but the parcellation remained fixed a ... Voir le document complet
5
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 Philippe ... Voir le document complet
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Bayesian joint detection-estimation in functional MRI with automatic parcellation and functional constraints
... the subject. In this chapter, an auto- matic model selection approach is proposed to overcome this limitation at the ...procedure in the standard JPDE framework, this non-parametric extension appears ... Voir le document complet
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IMPACT OF THE JOINT DETECTION-ESTIMATION APPROACH ON RANDOM EFFECTS GROUP STUDIES IN FMRI
... of functional Magnetic Resonance Imaging (fMRI) data relies on single intra-subject studies, which are usually conducted using a massively univari- ate ...approach. In this paper, we investigate the ... Voir le document complet
6
Robust voxel-wise Joint Detection Estimation of Brain Activity in fMRI
... from functional MRI data. To this end, we adopt the so-called Joint-Detection-Estimation (JDE) framework introduced in [1] and augmented in ...hemodynamics ... Voir le document complet
5
Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach
... NTRODUCTION Functional Magnetic Resonance Imaging (fMRI) is a powerful tool to non-invasively study the relation- ship between a sensory or cognitive task and the ensuing evoked neural activity through the ... Voir le document complet
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Fast joint detection-estimation of evoked brain activity in event-related fmri using a variational approach
... a functional localizer par- adigm [43] that enables a quick mapping of cognitive brain functions such as reading, language comprehension and mental calculations as well as primary sensory-motor ...deÞned in ... Voir le document complet
18
Impact of the joint detection-estimation approach on random effects group studies in fMRI
... of functional Magnetic Resonance Imaging (fMRI) data relies on single intra-subject studies, which are usually conducted using a massively univari- ate ...approach. In this paper, we investigate the ... Voir le document complet
6
Robust Detection of Multiple Sclerosis Lesions from Intensity-Normalized Multi-Channel MRI
... using multi-channel MRI to detect statistically significant differences between each individual MS patient and a database of control ...consists in two ...(GMM) estimation not affected by the ... Voir le document complet
8
Multi-subject MEG/EEG source imaging with sparse multi-task regression
... contributions in source localization techniques relying on noise normalization such as dSPM [11] and sLORETA [11, 52] to correct for the depth bias [2] or block-sparse norms such as MxNE [56] and TF-MxNE [24] to ... Voir le document complet
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Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses
... al. Functional Magnetic Resonance Imaging of the brain is used to localize func- tional areas in the cortex and deep nuclei by measuring MRI signal changes associated with neural ...activated ... Voir le document complet
9
Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data
... origin in the cerebral blood flow and is more directly related to arteriolar ...ASL MRI mainly consists of acquir- ing pairs of control and label images, respectively in the absence and presence of a ... Voir le document complet
9
Multi-session extension of the joint-detection framework in fMRI
... INTRODUCTION In the context of fMRI data analyses, the present paper is a contribu- tion to encoding ...methods. In such studies, two main concerns arise at the subject-level analysis: (i) a precise ... Voir le document complet
5
Application and validation of spatial mixture modelling for the joint detection-estimation of brain activity in fMRI.
... performed. In this respect, we claim the necessity of a unique forward HRF model in order to keep a single regressor for each condition, and thus allow direct statistical ...analysis in an efficient ... Voir le document complet
6
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 ... Voir le document complet
32
Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework
... hemodynamics in event-related functional MRI (fMRI) data is a crucial issue to disentangle the vascular response from the neuronal activity in the BOLD ...parcels. In this paper, we ... Voir le document complet
31
Tibio-femoral joint constraints for bone pose estimation during movement using multi-body optimization
... interpreted in the light of the following ...Conversely, in the present work, consistent with the proposed kinematic knee model, the length was computed as a point-to-point ...obtained in vivo by Van ... Voir le document complet
7
Patient-specific detection of perfusion abnormalities combining within-subject and between-subject variances in Arterial Spin Labeling
... verified in ASL studies. More precisely, the within-subject variance cannot be considered as negligible by comparison to between-subject variance, nor constant across ...subjects. In fMRI ... Voir le document complet
13
Multi-Tissue Multi-Compartment Models of Diffusion MRI
... diffusion MRI, microstructure, multi tissue, single-TE, volume fraction, signal fraction 1 Introduction Diffusion MRI (dMRI) is an imaging technique that allows to inspect the brain tissue ... Voir le document complet
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