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[PDF] Top 20 A joint detection-estimation framework for analysing within-subject fMRI data

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A joint detection-estimation framework for analysing within-subject fMRI data

A joint detection-estimation framework for analysing within-subject fMRI data

... methodologies for analysing within-subject functional Magnetic Resonance Imaging (fMRI) ...Such data are usually acquired during sensory or cognitive experiments that aims at ... Voir le document complet

32

IMPACT OF THE JOINT DETECTION-ESTIMATION APPROACH ON RANDOM EFFECTS GROUP STUDIES IN FMRI

IMPACT OF THE JOINT DETECTION-ESTIMATION APPROACH ON RANDOM EFFECTS GROUP STUDIES IN FMRI

... comparison for the more cogni- tive Computation – Sentences ...JDE framework gives the highest T-max peak value demonstrating that a better HRF modeling enhances the fit to fMRI data in ... Voir le document complet

6

Multi-session extension of the joint-detection framework in fMRI

Multi-session extension of the joint-detection framework in fMRI

... JDE, fMRI, Bayesian inference, multisession ...of fMRI data analyses, the present paper is a contribu- tion to encoding ...the subject-level analysis: (i) a precise localization ... Voir le document complet

5

Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis

Robust Extrapolation Scheme for Fast Estimation of 3D Ising Field Partition Functions: Application to Within-Subject fMRI Data Analysis

... present a fast numerical scheme to estimate Partition Functions (PF) of 3D Ising ...the joint detection-estimation of brain activity from func- tional Magnetic Resonance Imaging (fMRI) ... Voir le document complet

9

Robust voxel-wise Joint Detection Estimation of Brain Activity in fMRI

Robust voxel-wise Joint Detection Estimation of Brain Activity in fMRI

... signal detection, Magnetic resonance ...is a powerful tool to non-invasively study the relation between cognitive task and cere- bral activity through the analysis of the hemodynamic BOLD sig- nal ...[4]. ... Voir le document complet

5

Impact of the joint detection-estimation approach on random effects group studies in fMRI

Impact of the joint detection-estimation approach on random effects group studies in fMRI

... (fMRI) data relies on single intra-subject studies, which are usually conducted using a massively univari- ate ...the joint detection-estimation (JDE) framework [?, ... Voir le document complet

6

Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach

Fast joint detection-estimation of evoked brain activity in event-related fMRI using a variational approach

... 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 neurovascular coupling measured by the BOLD signal ...to ... Voir le document complet

40

Fast joint detection-estimation of evoked brain activity in event-related fmri using a variational approach

Fast joint detection-estimation of evoked brain activity in event-related fmri using a variational approach

... keeping a single regressor per condition and add also a temporal regularization constraint to Þx the ill-posedness are the so-called regularized FIR methods ...the detection and estimation ... Voir le document complet

18

Multi-subject joint parcellation detection estimation in functional MRI

Multi-subject joint parcellation detection estimation in functional MRI

... over a population of interest for investigating brain activity across different regions stimuli and ...existing Joint Parcellation Detection Estimation (JPDE) model which performs ... Voir le document complet

5

Application and validation of spatial mixture modelling for the joint detection-estimation of brain activity in fMRI.

Application and validation of spatial mixture modelling for the joint detection-estimation of brain activity in fMRI.

... stood for a powerful tool to non-invasively study the relation between cognitive task and cerebral activity through the analysis of this hemodynamic BOLD ...signal. Within-subject analysis in ... Voir le document complet

6

SPATIALLY UNSUPERVISED ANALYSIS OF WITHIN-SUBJECT FMRI DATA USING MULTIPLE EXTRAPOLATIONS OF 3D ISING FIELD PARTITION FUNCTIONS

SPATIALLY UNSUPERVISED ANALYSIS OF WITHIN-SUBJECT FMRI DATA USING MULTIPLE EXTRAPOLATIONS OF 3D ISING FIELD PARTITION FUNCTIONS

... present a fast numerical scheme to estimate Partition Functions (PF) of symmetric Ising ...the joint detection-estimation of brain activity from functional Magnetic Resonance Imaging ... Voir le document complet

7

Group-level impacts of within- and between-subject hemodynamic variability in fMRI

Group-level impacts of within- and between-subject hemodynamic variability in fMRI

... activation detection and robust HRF estimation are ...form for the HRF throughout the ...account for spatial fluctuations of the HRF shape by considering temporal and dispersion derivatives of ... Voir le document complet

35

A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.

A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI.

... From a methodological point of view, we have shown that our joint detection- estimation technique is able to identify deactivations in the ...of a third class in the prior mixture model ... Voir le document complet

60

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework

Hemodynamic-Informed Parcellation of fMRI Data in a Joint Detection Estimation Framework

... However, a clear difference is seen on the estimated HRFs, which are depicted in ...in a separate ...JPDE for the corresponding parcel. It turns out that the JPDE estimation is accurate ... Voir le document complet

31

Multi-subject joint parcellation detection estimation in functional MRI

Multi-subject joint parcellation detection estimation in functional MRI

... multi-subject fMRI analysis, JPDE, Par- cellation, Hemodynamic Response Function, VEM ...is a very powerful imaging technique that indirectly mea- sures neural activity using the blood oxygen-level ... Voir le document complet

5

Subject-level Joint Parcellation-Detection-Estimation in fMRI

Subject-level Joint Parcellation-Detection-Estimation in fMRI

... (BOLD) fMRI data is one of the most excit- ing challenges in neuroimaging ...nowadays. A functional parcellation of the brain, which can be seen as a segmentation of fMRI data ... Voir le document complet

11

Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data

Bayesian Joint Detection-Estimation of cerebral vasoreactivity from ASL fMRI data

... Dependent) fMRI modality, due to its relatively high signal-to-noise ratio ...alternative, a rising fMRI modality is Arterial Spin Labeling (ASL) ...has a clear known signal origin in the ... Voir le document complet

9

A framework for inter-subject prediction of functional connectivity from structural networks

A framework for inter-subject prediction of functional connectivity from structural networks

... interpretation a) Node ordering: Predicting a brain-wide functional connectivity structure is a challenging problem as it boils down to predicting second-order statistics of the signal, such as ... Voir le document complet

16

A linked data framework for Android

A linked data framework for Android

... is a comprehensive presentation of a framework for exposing Android application data as linked ...its data (§2), and how it can be extended in order to integrate RDF ...their ... Voir le document complet

16

Patient-Specific Detection of Perfusion Abnormalities Combining Within- and Between-Subject Variances in ASL

Patient-Specific Detection of Perfusion Abnormalities Combining Within- and Between-Subject Variances in ASL

... SNR, a large number of studies have demon- strated its usefulness in identifying patterns of abnormal perfusion at the group level ...[33], a template-based analysis was presented in order to detect ... Voir le document complet

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