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Functional MRI (fMRI)

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 (BOLD) ...

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Characterization of the Functional MRI Response Temporal Linearity via Optical Control of Neocortical Pyramidal Neurons

Characterization of the Functional MRI Response Temporal Linearity via Optical Control of Neocortical Pyramidal Neurons

... The blood oxygenation level-dependent (BOLD) signal serves as the basis for human functional MRI (fMRI). Knowledge of the properties of the BOLD signal, such as how linear its response is to sensory ...

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Learning representations from functional MRI data

Learning representations from functional MRI data

... W Functional MRI is a powerful brain-imaging modality: it allows to better understand how the brain work by recording with very little in- trusion the brain activity of an active human subject with a good ...

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Novel 4-D Algorithm for Functional MRI Image Regularization using Partial Differential Equations

Novel 4-D Algorithm for Functional MRI Image Regularization using Partial Differential Equations

... Introduction Image denoising via different regularization algorithms have been addressed within the past years with many approaches [1, 2], In particular, in the case of functional MRI (fMRI), deconvolution ...

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Quantitative functional MRI of the Cerebrovascular Reactivity to CO2

Quantitative functional MRI of the Cerebrovascular Reactivity to CO2

... modern functional MRI ...and MRI compatible, allowing subject placement in con- fined spaces such as an MRI scanner for brain ...is MRI compatible and uses commercially available ...

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Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

... in functional MRI (fMRI), we extend our first contribution to 3D+ t acquisition schemes by incorporating a prior along the time axis into the objective ...

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MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI

MULTIFRACTAL ANALYSIS OF RESTING STATE NETWORKS IN FUNCTIONAL MRI

... Index Terms— spatial ICA, multifractality, scaling, resting state, fMRI 1. INTRODUCTION The presence of scale invariance in functional MRI (fMRI) data has been considered as confound or noise for a long ...

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Effects of attention and emotion on face processing in depression: a functional MRI study.

Effects of attention and emotion on face processing in depression: a functional MRI study.

... [2] P. Vuilleumier, J.L. Armony, J. Driver, R.J. Dolan, 2001, Effects of attention and emotion on face processing in the human brain: An event- related fMRI study, Neuron 30, 829−41. P.1.e.023 Functional ...

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Bayesian Estimation of Probabilistic Atlas for Anatomically-Informed Functional MRI Group Analyses

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 ...and functional ...

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Brain functional MRI responses to blue light stimulation in Leber’s hereditary optic neuropathy

Brain functional MRI responses to blue light stimulation in Leber’s hereditary optic neuropathy

... and functional MRI (fMRI) studies showed that, in normally sighted individuals, light in- creases brain activity over the frontal eye field and inferior frontal cortex [38] and potentially in a region ...

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Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI

... dynamic MRI capturing an organ (liver, kidney, heart) during a quasi- periodic motion due to the respiratory cycle and cardiac beat; and (2) functional MRI based on periodic blocked ...intrinsic ...

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Pypreclin: An automatic pipeline for macaque functional MRI preprocessing

Pypreclin: An automatic pipeline for macaque functional MRI preprocessing

... A B S T R A C T Non-human primate functional MRI (fMRI) is a growing field in neuroscience. However, there is no standardized method for monkey fMRI data analysis, speci fically for data preprocessing. The ...

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Brain modifications after stereotactic radiotherapy recorded by Functional MRI.

Brain modifications after stereotactic radiotherapy recorded by Functional MRI.

... Conclusion In this work, we studied normal brain modifications after SRS therapy with anatomical and functional MRI. SRS doses and schedules in this work reflected those used in clinic for tumor treatment ...

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Auditory resting-state network connectivity in tinnitus: a functional MRI study.

Auditory resting-state network connectivity in tinnitus: a functional MRI study.

... underlying functional neuroanatomy of tinnitus remains poorly ...on functional cerebral connectivity changes in tinnitus ...if functional MRI ‘‘resting-state’’ connectivity patterns in ...

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Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG

Non-invasive inference of information flow using diffusion MRI, functional MRI, and MEG

... using functional and diffusion MRI ...the functional MRI ...of functional MRI priors guides the recovered activity, it does not force or preclude the acti- vation of specific ...

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Identifying neural drivers with functional MRI: an electrophysiological validation.

Identifying neural drivers with functional MRI: an electrophysiological validation.

... Citation: David O, Guillemain I, Saillet S, Reyt S, Deransart C, et al. (2008) Identifying neural drivers with functional MRI: an electrophysiological validation. PLoS Biol 6(12): e315. ...

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Using partial correlation to enhance structural equation modeling of functional MRI data.

Using partial correlation to enhance structural equation modeling of functional MRI data.

... Communication Disorders, National Institutes of Health, Bethesda, MD, U.S.A. Short title: Partial Correlation for SEM in fMRI Abstract In functional magnetic resonance imaging (fMRI) data analysis, effective ...

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Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields

Brain sugar consumption during neuronal activation detected by CEST functional MRI at ultra-high magnetic fields

... and functional imaging require specific timing conditions for optimum ...contrast, functional imaging usually requires a short TR in order to record the BOLD effect with the highest time resolution and ...

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Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference.

Estimation of the hemodynamic response in event-related functional MRI: Bayesian networks as a framework for efficient Bayesian modeling and inference.

... VII. CONCLUSION In this paper, we proposed a novel Bayesian inference frame- work for HRF estimation in fMRI data analysis, based on trans- lating the existing Bayesian model into a Bayesian network to combine the ...

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From group to patient-specific analysis of brain function in arterial spin labelling and BOLD functional MRI

From group to patient-specific analysis of brain function in arterial spin labelling and BOLD functional MRI

... processing MRI data preprocessing and analysis were performed using the GLM [ Friston 1994a ], as implemented in SPM5 1 (Statistical Parametric Mapping 5, Wellcome Depart- ment of Imaging Neuroscience, University ...

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