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Dimitri Nestor Alice Van De Ville

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Related publications (371)

Statistical methods for comparing brain connectomes at different scales

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville

Physiological Brain connectivity and spontaneous interaction between regions of interest of the brain can be represented by a matrix (full or sparse) or equivalently by a complex network called connectome. This representation of brain connectivity is adopt ...

SPIE-Int Soc Optical Engineering2015

Cerebellar Connectomics Provide New Biomarkers in Early Multiple Sclerosis

Jonas Richiardi, Gloria Menegaz, Jean-Philippe Thiran, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Guillaume Bonnier, David Paul Roger Romascano, Gunnar Krüger, Cristina Granziera, Alessandro Daducci, Alexis Roche, Ying-Chia Lin

The cerebellum is involved in multiple sclerosis (MS), but its implication in early phases is still poorly understood. We investigated structural and functional cerebellar connectivity alterations in early and minimally impaired MS patients, and their corr ...

2014

Sparse regularization for fiber ODF reconstruction: from the suboptimality of $\ell_2$ and $\ell_1$ priors to $\ell_0$

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Alessandro Daducci

Diffusion MRI is a well established imaging modality providing a powerful way to probe the structure of the white matter non-invasively. Despite its potential, the intrinsic long scan times of these sequences have hampered their use in clinical practice. F ...

Institute of Electrical and Electronics Engineers2014

Disentangling Dynamic Networks: Separated and Joint Expressions of Functional Connectivity Patterns in Time

Dimitri Nestor Alice Van De Ville, Nora Leonardi

Resting-state functional connectivity (FC) is highly variable across the duration of a scan. Groups of coevolving connections, or reproducible patterns of dynamic FC (dFC), have been revealed in fluctuating FC by applying unsupervised learning techniques. ...

Wiley-Blackwell2014

Multivariate Pattern Recognition for Diagnosis and Prognosis in Clinical Neuroimaging: State of the Art, Current Challenges and Future Trends

Dimitri Nestor Alice Van De Ville

Many diseases are associated with systematic modifications in brain morphometry and function. These alterations may be subtle, in particular at early stages of the disease progress, and thus not evident by visual inspection alone. Group-level statistical c ...

Springer Verlag2014

Modular organization of reaching and grasping movements investigated using EEG microstates

Dimitri Nestor Alice Van De Ville, Robert Leeb, Elvira Pirondini, Silvestro Micera, Martina Coscia, Jesús Minguillón Campos

How movements are generated and controlled by the central nervous system (CNS) is still not well understood. In this work, we tested the hypothesis of a modular organization of the brain activity during the execution of voluntary movements. In particular, ...

IEEE2014

Mapping interictal epileptic discharges using mutual information between concurrent EEG and fMRI

Dimitri Nestor Alice Van De Ville, François Lazeyras

Objective: The mapping of haemodynamic changes related to interictal epileptic discharges (IED) in simultaneous electroencephalography (EEG) and functional MRI (fMRI) studies is usually carried out by means of EEG-correlated fMRI analyses where the EEG inf ...

Elsevier2013

Analytic Sensing For Multi-Layer Spherical Models With Application To EEG Source Imaging

Thierry Blu, Dimitri Nestor Alice Van De Ville, Djano Kandaswamy

Source imaging maps back boundary measurements to underlying generators within the domain; e. g., retrieving the parameters of the generating dipoles from electrical potential measurements on the scalp such as in electroencephalography (EEG). Fitting such ...

Amer Inst Mathematical Sciences2013

Dynamic reconfiguration of human brain functional networks through neurofeedback

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Rotem Roza Kopel

Recent fMRI studies demonstrated that functional connectivity is altered following cognitive tasks (e.g., learning) or due to various neurological disorders. We tested whether real-time fMRI-based neurofeedback can be a tool to voluntarily reconfigure brai ...

Elsevier2013

Connectivity Measures For Real-Time fMRI Neurofeedback

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush

2013

Principal components of functional connectivity: A new approach to study dynamic brain connectivity during rest

Jonas Richiardi, Dimitri Nestor Alice Van De Ville, Nora Leonardi

Functional connectivity (FC) as measured by correlation between NM BOLD time courses of distinct brain regions has revealed meaningful organization of spontaneous fluctuations in the resting brain. However, an increasing amount of evidence points to non-st ...

Elsevier2013

Functional Connectivity Eigennetworks Reveal Different Brain Dynamics In Multiple Sclerosis Patients

Jonas Richiardi, Dimitri Nestor Alice Van De Ville, Nora Leonardi

Resting state functional connectivity is defined as correlations in brain activity measured by functional magnetic resonance imaging without any stimulation paradigm. Such connectivity is dynamic, even over the course of minutes, and the development of too ...

Ieee2013

Eigensensing And Deconvolution For The Reconstruction Of Heat Absorption Profiles From Photoacoustic Tomography Data

Thierry Blu, Dimitri Nestor Alice Van De Ville, Zafer Dogan

Photoacoustic tomography (PAT) is a relatively recent imaging modality that is promising for breast cancer detection and breast screening. It combines the high intrinsic contrast of optical radiation with acoustic imaging at submillimeter spatial resolutio ...

Ieee2013

Spatial Mapping Of Interictal Epileptic Discharges In Fmri With Total Activation

Dimitri Nestor Alice Van De Ville, Fikret Isik Karahanoglu

During the monitoring of pharmacoresistant epilepsy patients prior to surgery, interictal epileptic discharges (IEDs) are analyzed to locate possible sources of epileptic activity. In order to compensate low spatial resolution of EEG, simultaneous EEG-fMRI ...

Ieee2013

Sparse image reconstruction on the sphere: implications of a new sampling theorem

Jean-Philippe Thiran, Pierre Vandergheynst, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Gilles Puy, Jason Douglas McEwen

A new sampling theorem on the sphere has been developed recently, reducing the number of samples required to represent a band-limited signal by a factor of two for equiangular sampling schemes. For signals sparse in a spatially localised measure, such as i ...

Institute of Electrical and Electronics Engineers2013

Sparsity Averaging for Compressive Imaging

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Yves Wiaux, Jason Douglas McEwen, Rafael Eduardo Carrillo Rangel

We discuss a novel sparsity prior for compressive imaging in the context of the theory of compressed sensing with coherent redundant dictionaries, based on the observation that natural images exhibit strong average sparsity over multiple coherent frames. W ...

IEEE Institute of Electrical and Electronics Engineers2013

Application of a New Sensing Principle for Photoacoustic Imaging of Point Absorbers

Thierry Blu, Dimitri Nestor Alice Van De Ville, Ivana Jovanovic, Zafer Dogan

Photoacoustic tomography (PAT) is a hybrid imaging method, which combines ultrasonic and optical imaging modalities, in order to overcome their respective weaknesses and to combine their strengths. It is based on the reconstruction of optical absorption pr ...

Spie-Int Soc Optical Engineering2013

Connectivity-based neurofeedback: Dynamic causal modeling for real-time fMRI

Dimitri Nestor Alice Van De Ville, Frank Scharnowski, Yury Koush

Neurofeedback based on real-time fMRI is an emerging technique that can be used to train voluntary control of brain activity. Such brain training has been shown to lead to behavioral effects that are specific to the functional role of the targeted brain ar ...

Elsevier2013

Total activation: fMRI deconvolution through spatio-temporal regularization

Dimitri Nestor Alice Van De Ville, François Lazeyras, Fikret Isik Karahanoglu

Confirmatory approaches to fMRI data analysis look for evidence for the presence of pre-defined regressors modeling contributions to the voxel time series, including the BOLD response following neuronal activation. As more complicated questions arise about ...

Elsevier2013

Data-Driven MRSI Spectral Localization Via Low-Rank Component Analysis

Dimitri Nestor Alice Van De Ville, Jeffrey Adam Kasten

Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool capable of providing spatially localized maps of metabolite concentrations. Its utility, however, is often depreciated by spectral leakage artifacts resulting from low spatial resolution me ...

Institute of Electrical and Electronics Engineers2013

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