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BOLD fMRI

Mapping of the brain hemodynamic responses to sensorimotor stimulation in a rodent model: A BOLD fMRI study

Mapping of the brain hemodynamic responses to sensorimotor stimulation in a rodent model: A BOLD fMRI study

... (BOLD fMRI) during electrical paw stim- ulation has been widely used in studies aimed at the understanding of the somatosensory network in ...stimulation. BOLD fMRI study of the integration of ...

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On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series

On the number of clusters and the fuzziness index for unsupervised FCA application to BOLD fMRI time series

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Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information.

Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information.

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Impact of cerebral blood flow level on the fluctuations of resting-state BOLD fMRI in anesthetized rats

Impact of cerebral blood flow level on the fluctuations of resting-state BOLD fMRI in anesthetized rats

... 6 Conclusion For the anaesthetic agents evaluated in this study, dynamics of brain area signals are not related to CBF. However, isoflurane yields to reduced fluctuations of BOLD signals, for some brain areas with ...

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Symmetrical EEG-FMRI Imaging by Sparse Regularization

Symmetrical EEG-FMRI Imaging by Sparse Regularization

... the BOLD response is obtained by temporally convolving the neuronal activity with a function h similar to the canonical hemodynamic response function (HRF) used in standard BOLD ...

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Impaired cerebrovascular reactivity assessed by BOLD hypercapnic fMRI is associated with increased risk of stroke in patients with symptomatic intracranial atherosclerotic stenosis

Impaired cerebrovascular reactivity assessed by BOLD hypercapnic fMRI is associated with increased risk of stroke in patients with symptomatic intracranial atherosclerotic stenosis

... using BOLD fMRI with hypercapnic challenge; 2°) patients with abnormal CVR defined by a laterality index ...CVR fMRI to select patients for additional ...

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A sparse EEG-informed fMRI model for hybrid EEG-fMRI neurofeedback prediction

A sparse EEG-informed fMRI model for hybrid EEG-fMRI neurofeedback prediction

... in fMRI come from the BOLD activation in one or more region of ...estimate BOLD-fMRI signal first on a specific region of interest, as proposed by a previous approach (Noorzadeh et ...and ...

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A differential evolution-based approach for fitting a nonlinear biophysical model to fMRI BOLD data

A differential evolution-based approach for fitting a nonlinear biophysical model to fMRI BOLD data

... Usually, BOLD fMRI data are analyzed by comparing the measured dynamic signal in each voxel to a linear model of predicted responses obtained by convolving the known experi- mental design (“paradigm”) with ...

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Spatial contribution of hippocampal BOLD activation in high-resolution fMRI

Spatial contribution of hippocampal BOLD activation in high-resolution fMRI

... the BoLD-fMRI signal is established, the exact neurovascular coupling events contributing to this signal are still incompletely ...the BoLD activation are not elucidated, although electrophysiology ...

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Symmetrical EEG-FMRI Imaging by Sparse Regularization

Symmetrical EEG-FMRI Imaging by Sparse Regularization

... the BOLD response is obtained by temporally convolving the neuronal activity with a function h similar to the canonical hemodynamic response function (HRF) used in standard BOLD ...

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L1-Norm Regularized Deconvolution of Functional MRI BOLD Signal

L1-Norm Regularized Deconvolution of Functional MRI BOLD Signal

... the least absolute shrinkage and selection operator (LASSO) model, solved using the Least-Angle Regression (LARS) algorithm. Abstract - Deconvolution methods are used to denoise the blood oxygen level-dependent ...

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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 ...of fMRI data into homogeneous brain regions according to some specific features (eg, BOLD effect size), can help ...

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Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization

Estimating Biophysical Parameters from BOLD Signals through Evolutionary-Based Optimization

... The BOLD data used in the experiments was recorded with the goal of testing biophys- ical models in the context of epileptic activity in ...and BOLD-fMRI data were acquired under <2% isoflurane ...

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Spatially regularized multifractal analysis for fMRI Data

Spatially regularized multifractal analysis for fMRI Data

... Goals, contributions and outline. The present contribution aims to overcome these limitations caused by the short duration and poor temporal duration of fMRI data by taking advantage of their multivariate nature. ...

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Hemodynamically informed parcellation of cerebral FMRI data

Hemodynamically informed parcellation of cerebral FMRI data

... Index Terms— joint detection-estimation, hemodynam- ics, Gaussian mixtures, parcellation, brain 1. INTRODUCTION Functional MRI (fMRI) is an imaging technique that indi- rectly measures neural activity through the ...

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A shimming procedure for fMRI, optimizing the local BOLD sensitivity

A shimming procedure for fMRI, optimizing the local BOLD sensitivity

... A shimming procedure for fMRI, optimizing the local BOLD sensitivity E. Balteau 1,2 , and N. Weiskopf 2 1 Cyclotron Research Centre, University of Liege, LIEGE, Belgium, 2 Wellcome Trust Centre for ...

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BOLD signal in both ipsilateral and contralateral retinotopic cortex with perceptual fading

BOLD signal in both ipsilateral and contralateral retinotopic cortex with perceptual fading

... However, because we cannot rule out the possible confound of microsaccade/eyeblink rate, it might seem that the present dataset should be recollected with an eyetracker that has a high enough temporal and spatial ...

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Bayesian BOLD and perfusion source separation and deconvolution from functional ASL imaging

Bayesian BOLD and perfusion source separation and deconvolution from functional ASL imaging

... Terms— fMRI, ASL, deconvolution, Bayesian analysis, Monte Carlo Markov Chain ...rising fMRI modality is Arterial Spin Labeling (ASL) which enables to quantify the cerebral perfusion, namely the cerebral ...

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Regional impairment of cerebrovascular reactivity and BOLD signal in adults after stroke.

Regional impairment of cerebrovascular reactivity and BOLD signal in adults after stroke.

... Conclusions—These preliminary findings suggest that CVR heterogeneities may account for task-related BOLD signal changes in patients after stroke. (Stroke. 2005;36:1146-1152.) Key Words: hyperventilation 䡲 ...

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fMRI data analysis : statistics, information and dynamics

fMRI data analysis : statistics, information and dynamics

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...

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