Recherche

Afficher tous les résultats pour

Accueil

Personne

Dimitri Nestor Alice Van De Ville

À propos
Confidentialité
Mentions légales

Graph Chatbot

Publications associées (371)

Graph Slepians To Strike A Balance Between Local And Global Network Interactions: Application To Functional Brain Imaging

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Younes Farouj, Silvia Obertino

Brain function exhibits coordinated activity patterns that are also reflected in anatomy, a finding that can be harnessed to constrain the dynamics of functional time series to the underlying structure while performing various signal processing operations. ...

IEEE2018

Resting-State Networks of Adolescents Experiencing Depersonalization-Like Illusions: Cross-sectional and Longitudinal Findings

Dimitri Nestor Alice Van De Ville, François Lazeyras

The mirror-gazing task (MGT) experimentally induces illusions, ranging from simple color changes in the specular image of oneself, to depersonalization-like anomalous self-experiences (ASE) as in experiencing one's specular image as someone else. The objec ...

OXFORD UNIV PRESS2018

Laser doppler imaging as additional monitoring after digital replanting: A prospective study

Dimitri Nestor Alice Van De Ville

BackgroundDespite various exisiting monitoring methods, there is still a need for new technologies to improve the quality of post-operative evaluation of digital replantation. The purpose of the study is using a laser Doppler imaging device (Easy-LDI) as a ...

WILEY2018

Optical projection tomography for rapid whole mouse brain imaging

Theo Lasser, Antonio Lopez, Dimitri Nestor Alice Van De Ville, Paul James Marchand, Jessica Sordet, David Nguyen, Jérôme Extermann, Miguel Sison, Marcin Antoni Sylwestrzak, Julia Sophie Katarina Nilsson, Arielle Louise Planchette

In recent years, three-dimensional mesoscopic imaging has gained significant importance in life sciences for fundamental studies at the whole-organ level. In this manuscript, we present an optical projection tomography (OPT) method designed for imaging of ...

Optical Soc Amer2017

High-Resolution fMRI of Auditory Cortical Map Changes in Unilateral Hearing Loss and Tinnitus

Stephanie Clarke, Dimitri Nestor Alice Van De Ville, Wietske Van der Zwaag, Naghmeh Ghazaleh, Melissa Saenz

Animal models of hearing loss and tinnitus observe pathological neural activity in the tonotopic frequency maps of the primary auditory cortex. Here, we applied ultra high-field fMRI at 7 T to test whether human patients with unilateral hearing loss and ti ...

Springer Verlag2017

Dynamics of functional connectivity at high spatial resolution reveal long-range interactions and fine-scale organization

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Dynamic functional connectivity (dFC) derived from resting-state functional magnetic resonance imaging sheds light onto moment-to-moment reconfigurations of large-scale functional brain networks. Due to computational limits, connectivity is typically compu ...

Nature Research2017

Inter-hemispherical asymmetry in default-mode functional connectivity and BAIAP2 gene are associated with anger expression in ADHD adults

Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Maria Giulia Preti

Attention deficit hyperactivity disorder (ADHD) is accompanied by resting-state alterations, including abnormal activity, connectivity and asymmetry of the default-mode network (DMN). Concurrently, recent studies suggested a link between ADHD and the prese ...

Elsevier2017

EEG topographies provide subject-specific correlates of motor control

José del Rocio Millán Ruiz, Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Silvestro Micera, Martina Coscia, Jesús Minguillón Campos

Electroencephalography (EEG) of brain activity can be represented in terms of dynamically changing topographies (microstates). Notably, spontaneous brain activity recorded at rest can be characterized by four distinctive topographies. Despite their well-es ...

Nature Research2017

Distributed Patterns of Brain Activity Underlying Real-Time fMRI Neurofeedback Training

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

Neurofeedback (NF) based on real-time functional magnetic resonance imaging (rt-fMRI) is an exciting neuroimaging application. In most rt-fMRI NF studies, the activity level of a single region of interest (ROI) is provided as a feedback signal and the part ...

Ieee-Inst Electrical Electronics Engineers Inc2017

Disentangling resting-state BOLD variability and PCC functional connectivity in 22q11.2 deletion syndrome

Dimitri Nestor Alice Van De Ville, Marie Schaer, Maria Carmela Padula, Daniela Maria Zöller

Although often ignored in fMRI studies, moment-to-moment variability of blood oxygenation level dependent (BOLD) signals reveals important information about brain function. Indeed, higher brain signal variability has been associated with better cognitive p ...

Elsevier2017

When Slepian Meets Fiedler: Putting a Focus on the Graph Spectrum

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Robin Jonathan Demesmaeker

The study of complex systems greatly benefits from graph models and their analysis. In particular, the eigendecomposition of the graph Laplacian lets emerge properties of global organization from local interactions; e.g., the Fiedler vector has the smalles ...

IEEE Institute of Electrical and Electronics Engineers2017

The dynamic functional connectome: State-of-the-art and perspectives

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti

Resting-state functional magnetic resonance imaging (fMRI) has highlighted the rich structure of brain activity in absence of a task or stimulus. A great effort has been dedicated in the last two decades to investigate functional connectivity (FC), i.e. th ...

Elsevier2017

OpenNFT: An open-source Python/Matlab framework for real-time fMRI neurofeedback training based on activity, connectivity and multivariate pattern analysis

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

Neurofeedback based on real-time functional magnetic resonance imaging (rt-fMRI) is a novel and rapidly developing research field. It allows for training of voluntary control over localized brain activity and connectivity and has demonstrated promising cli ...

Elsevier2017

A Spectral Method for Generating Surrogate Graph Signals

Dimitri Nestor Alice Van De Ville, Elvira Pirondini, Anna Vybornova, Martina Coscia

The increasing availability of network data is leading to a growing interest in processing of signals on graphs. One notable tool for extending conventional signal-processing operations to networks is the graph Fourier transform that can be obtained as the ...

IEEE Institute of Electrical and Electronics Engineers2016

Magnetic resonance spectroscopic imaging at superresolution: Overview and perspectives

Dimitri Nestor Alice Van De Ville, François Lazeyras, Jeffrey Adam Kasten

The notion of non-invasive, high-resolution spatial mapping of metabolite concentrations has long enticed the medical community. While magnetic resonance spectroscopic imaging (MRSI) is capable of achieving the requisite spatio-spectral localization, it ha ...

Academic Press Inc - Elsevier Science2016

Resting-State fMRI Dynamics Reveal Increased State Switching in the At-Risk Stage for Psychosis

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

Wiley-Blackwell2016

Resting-state fMRI dynamics reveal increased state switching in the at-risk stage for psychosis

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

Wiley-Blackwell2016

Introduction to the Issue on Advanced Signal Processing for Brain Networks

Dimitri Nestor Alice Van De Ville

Ieee-Inst Electrical Electronics Engineers Inc2016

Predicting Individual Scores From Resting State fMRI Using Partial Least Squares Regression

Stephan Morgenthaler, Djalel Eddine Meskaldji, Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton, Maria Giulia Preti

An important question in neuroscience is to reveal the relationship between individual performance and brain activity. This could be achieved by applying model regression techniques, in which functional connectivity derived from resting-state functional ma ...

Ieee2016

Total-activation regularized deconvolution of resting-state fMRI leads to reproducible networks with spatial overlap

Dimitri Nestor Alice Van De Ville, Fikret Isik Karahanoglu

Spontaneous activations in resting-state fMRI have been shown to corroborate recurrent intrinsic functional networks. Recent studies have explored integration of brain function in terms of spatially overlapping networks. We have proposed a method to recove ...

IEEE2016

Page 12 sur 19