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[PDF] Top 20 Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI

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Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI

Adaptive Mean Shift Based Hemodynamic Brain Parcellation in fMRI

... achievable in brain regions eliciting task-related activity [11,12]. In this context, the joint detection estimation (JDE) model per- forms both tasks simultaneously ...[13–15]. In the JDE ... Voir le document complet

13

Subject-level Joint Parcellation-Detection-Estimation in fMRI

Subject-level Joint Parcellation-Detection-Estimation in fMRI

... Joint Parcellation-Detection-Estimation in fMRI Lotfi CHAARI Member, Solveig BADILLO, Thomas VINCENT, Ghislaine DEHAENE-LAMBERTZ, Florence FORBES and Philippe CIUCIU Senior Member ... Voir le document complet

11

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

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

... a parcellation mask and according to the prior distribution in Section ...especially in estimating the HRFs in comparison with parcel-based ...JDE. In this simulation, the same ... Voir le document complet

5

Hemodynamic estimation based on Consensus Clustering

Hemodynamic estimation based on Consensus Clustering

... experiments in functional Mag- netic Resonance Imaging (fMRI) often aim at understanding the temporal dynamics of the brain response in regions acti- vated by a given ...the hemodynamic ... Voir le document complet

5

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

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

... Spatially Adaptive GLM (SAGLM) ...different fMRI data sets corresponding to varying SNRs so as to assess the reproducibility of our conclusions on the same ...identifying brain regions where HRF ... Voir le document complet

35

Hemodynamically informed parcellation of cerebral FMRI data

Hemodynamically informed parcellation of cerebral FMRI data

... evoked brain activity in functional MRI (fMRI) relies on a fixed and known shape of the impulse response of the neurovascular coupling, namely the hemo- dynamic response function ...prior ... Voir le document complet

6

Adaptive experimental condition selection in event-related fMRI

Adaptive experimental condition selection in event-related fMRI

... is based on the analysis of Blood Oxygen Level Dependent (BOLD) signals that reflect neuronal mass activity in the brain ...which brain regions are activated by a given stim- ulus type, and on ... Voir le document complet

5

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

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

... only in voxels or regions that elicit an evoked response to a given stimulus ...spatially adaptive inference ...place in the Joint Detection-Estimation (JDE) framework introduced in [9] and ... Voir le document complet

31

Hemodynamic Brain Parcellation Using A Non-Parametric Bayesian Approach

Hemodynamic Brain Parcellation Using A Non-Parametric Bayesian Approach

... conclusion In this paper, we proposed a new approach to estimate the number of hemodynamic parcels in fMRI data analysis where model selection was for- mulated as a clustering ...is ... Voir le document complet

51

Unsupervised Hierarchical Image Segmentation based on the TS-MRF model and Fast Mean-Shift Clustering

Unsupervised Hierarchical Image Segmentation based on the TS-MRF model and Fast Mean-Shift Clustering

... quence in the context of hierarchical segmentation. In fact, the MS-ML clustering provides quite a reliable segmentation in the spectral domain, while the MRF model allows to take into account ... Voir le document complet

6

A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation

A Bayesian non-parametric hidden Markov random model for hemodynamic brain parcellation

... functional brain parcellation is a very challenging issue in task-related fMRI ...joint parcellation detection estimation model addresses this issue by inferring the parcels from ... Voir le document complet

16

Adaptive harmonic decomposition using shift-invariant PLCA

Adaptive harmonic decomposition using shift-invariant PLCA

... proposed in order to decompose the time-frequency representation of an audio signal into meaning- ful non-negative ...components. In the field of music signal process- ing, such a decomposition is useful to ... Voir le document complet

5

PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function

PyHRF: A Python Library for the Analysis of fMRI Data Based on Local Estimation of the Hemodynamic Response Function

... Remarks In this paper we presented PyHRF, a software to analyze fMRI data using a Joint Detection-Estimation (JDE) approach of the cerebral ...the Hemodynamic Response Function (HRF), in ... Voir le document complet

8

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.

... the fMRI time series themselves or as the β-parameters es- timated during a first-level SPM ...F-contrast in a SPM ...small in a given parcel, the HRF estimation may become inaccurate, specifically ... Voir le document complet

60

Connectivity-Based Parcellation: Critique and Implications

Connectivity-Based Parcellation: Critique and Implications

... used in various parcellation scenarios, ICA and boundary detection serve very similar goals in whole-brain ...to fMRI data, it is known to separate out stable, statistically ... Voir le document complet

38

Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation

Brain-shift compensation using intraoperative ultrasound and constraint-based biomechanical simulation

... deleted in the skeleton 770 presented in Figure 8(b) to obtain the sparse skeleton ζ sparse of Figure ...chosen in the 3D space, a random number of points N and an orientation vector ...v. In ... Voir le document complet

70

Brain activity modeling in general anesthesia: Enhancing local mean-field models using a slow adaptive firing rate.

Brain activity modeling in general anesthesia: Enhancing local mean-field models using a slow adaptive firing rate.

... MODELING IN ANESTHESIA To our knowledge, researches conducted by Steyn-Ross et al were the first attempts to explain, using an MF model, why gradual increase of anesthetic concentration produces a sudden ... Voir le document complet

44

Adaptive control of hydraulic shift actuation in an automatic transmission

Adaptive control of hydraulic shift actuation in an automatic transmission

... Using the clutch piston position, for example, a hydraulic clutch control strategy may be able to identify the stroke pressure and apply this information to shape [r] ... Voir le document complet

80

Hemodynamic Models: Investigation and Application to Brain Imaging Analysis

Hemodynamic Models: Investigation and Application to Brain Imaging Analysis

... earities in the fMRI signal with respect to stimulation. Comparisons in figure ...appeared in our ...nonlinearities in the short time ranges: model I in figure ...improvement ... Voir le document complet

202

Anatomical and hemodynamic correlates of healthy human brain rhythms

Anatomical and hemodynamic correlates of healthy human brain rhythms

... even in ‘low-level’ brain areas such as primary visual cortex (V1), neurophysiology results obtained in animals are often not observed in human BOLD ...2013). In addition, decades of ... Voir le document complet

169

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