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Dimitri Nestor Alice Van De Ville

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Publications associées (371)

Graph Spectral Analysis Of Voxel-Wise Brain Graphs From Diffusion-Weighted Mri

Dimitri Nestor Alice Van De Ville, Hamid Behjat, Anjali Bagunu Tarun

Non-invasive characterization of brain structure has been made possible by the introduction of magnetic resonance imaging (MRI). Graph modeling of structural connectivity has been useful, but is often limited to defining nodes as regions from a brain atlas ...

IEEE2019

Using real-time fMRI neurofeedback to restore right occipital cortex activity in patients with left visuo-spatial neglect: proof-of-principle and preliminary results

Dimitri Nestor Alice Van De Ville, Frank Scharnowski

Hemineglect is common after right parietal stroke, characterised by impaired awareness for stimuli in left visual space, with suppressed neural activity in the right visual cortex due to losses in top-down attention signals. Here we sought to assess whethe ...

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD2019

Resting-state functional MRI for functional neurosurgery: seeing the light?

Jean-Philippe Thiran, Meritxell Bach Cuadra, Dimitri Nestor Alice Van De Ville, Elena Najdenovska, Constantin Tuleasca

AMER ASSOC NEUROLOGICAL SURGEONS2019

Music processing in preterm and full-term newborns: A psychophysiological interaction (PPI) approach in neonatal fMRI

Dimitri Nestor Alice Van De Ville, François Lazeyras, Serafeim Loukas

Neonatal Intensive Care Units (NICU) provide special equipment designed to give life support for the increasing number of prematurely born infants and assure their survival. More recently NICU's strive to include developmentally oriented care and modulate ...

2019

Robust Recovery of Temporal Overlap Between Network Activity Using Transient-Informed Spatio-Temporal Regression

Dimitri Nestor Alice Van De Ville, Marie Schaer, Fikret Isik Karahanoglu, Thomas William Arthur Bolton, Daniela Maria Zöller

Functional magnetic resonance imaging is a non-invasive tomographic imaging modality that has provided insights into system-level brain function. New analysis methods are emerging to study the dynamic behavior of brain activity. The innovation-driven co-ac ...

Institute of Electrical and Electronics Engineers2019

No time for drifting: Comparing performance and applicability of signal detrending algorithms for real-time fMRI

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

As a consequence of recent technological advances in the field of functional magnetic resonance imaging (fMRI), results can now be made available in real-time. This allows for novel applications such as online quality assurance of the acquisition, intra-op ...

2019

Resting brain dynamics at different timescales capture distinct aspects of human behavior

Dimitri Nestor Alice Van De Ville, Raphaël Pierre Liégeois

Linking human behavior to resting-state brain function is a central question in systems neuroscience. In particular, the functional timescales at which different types of behavioral factors are encoded remain largely unexplored. The behavioral counterparts ...

Springer2019

Fast high-resolution brain metabolite mapping on a clinical 3T MRI by accelerated H-1-FID-MRSI and low-rank constrained reconstruction

Michel Kocher, Dimitri Nestor Alice Van De Ville, François Lazeyras, Sébastien Courvoisier, Matthieu Guerquin-Kern, Jeffrey Adam Kasten

Purpose: Epitomizing the advantages of ultra short echo time and no chemical shift displacement error, high-resolution-free induction decay magnetic resonance spectroscopic imaging (FID-MRSI) sequences have proven to be highly effective in providing unbias ...

WILEY2019

Brain networks for engaging oneself in positive-social emotion regulation

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

Positive emotions facilitate cognitive performance, and their absence is associated with burdening psychiatric disorders. However, the brain networks regulating positive emotions are not well understood, especially with regard to engaging oneself in positi ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Dynamic mode decomposition of resting-state and task fMRI

Dimitri Nestor Alice Van De Ville, Raphaël Pierre Liégeois

Component analysis is a powerful tool to identify dominant patterns of interactions in multivariate datasets. In the context of fMRI data, methods such as principal component analysis or independent component analysis have been used to identify the brain n ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Structurally-Informed Deconvolution Of Functional Magnetic Resonance Imaging Data

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Younes Farouj, Mert Inan

Neural activity occurs in the shape of spatially organized patterns: networks of brain regions activate in synchrony. Many of these functional networks also happen to be strongly structurally connected. We use this information to revisit the fundamental pr ...

IEEE2019

Data-driven tensor independent component analysis for model-based connectivity neurofeedback

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

Neurofeedback based on real-time functional MRI is an emerging technique to train voluntary control over brain activity in healthy and disease states. Recent developments even allow for training of brain networks using connectivity feedback based on dynami ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2019

Classification of degenerative parkinsonism subtypes by support-vector-machine analysis and striatal I-123-FP-CIT indices

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

ObjectivesTo provide an automated classification method for degenerative parkinsonian syndromes (PS) based on semiquantitative I-123-FP-CIT SPECT striatal indices and support-vector-machine (SVM) analysis.Methods(123)I-FP-CIT SPECT was performed at a singl ...

Springer2019

Thalamotomy for tremor normalizes aberrant pre-therapeutic visual cortex functional connectivity

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Elena Najdenovska, Thomas William Arthur Bolton, Constantin Tuleasca

OXFORD UNIV PRESS2019

Domain-Informed Spline Interpolation

Dimitri Nestor Alice Van De Ville, Zafer Dogan, Hamid Behjat

Standard interpolation techniques are implicitly based on the assumption that the signal lies on a single homogeneous domain. In contrast, many naturally occurring signals lie on an inhomogeneous domain, such as brain activity associated to different brain ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Arwen Blanche Giraud

Task-based functional magnetic resonance imaging bears great potential to understand how our brain reacts to various types of stimulation; however, this is often achieved without considering the dynamic facet of functional processing, and analytical output ...

2019

Supervised learning to quantify amyloidosis in whole brains of an Alzheimer's disease mouse model acquired with optical projection tomography

Theo Lasser, Dimitri Nestor Alice Van De Ville, Aleksandra Radenovic, Paul James Marchand, Virginie Sophie Uhlmann, David Nguyen, Arielle Louise Planchette

Alzheimer's disease (AD) is characterized by amyloidosis of brain tissues. This phenomenon is studied with genetically-modified mouse models. We propose a method to quantify amyloidosis in whole 5xFAD mouse brains, a model of AD. We use optical projection ...

2019

Slepian Guided Filtering of Graph Signals

Dimitri Nestor Alice Van De Ville, Miljan Petrovic

Joint localization of graph signals in vertex and spectral domain is achieved in Slepian vectors calculated by either maximizing energy concentration (mu) or minimizing modified embedded distance (xi) in the subgraph of interest. On the other hand, graph L ...

SPIE-INT SOC OPTICAL ENGINEERING2019

Current Opinions in Brain Imaging Methods and Applications

Dimitri Nestor Alice Van De Ville

SPRINGER2019

Quantification Of Resting-State Fmri Networks Driven By Hemodynamically Informed Spatiotemporal Regularization

Dimitri Nestor Alice Van De Ville, Fikret Isik Karahanoglu, Younes Farouj

The brain's spontaneous fluctuations measured by functional magnetic resonance imaging during rest cluster into recurrent activity patterns known as resting-state networks (RSNs). The spatial organization of RSNs in health and disease has been immensely in ...

IEEE2018

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