Publications associées à Large-scale brain network

Structural and functional connectivity in the default mode network in 22q11.2 deletion syndrome

Dimitri Nestor Alice Van De Ville, Maude Schneider, Marie Schaer, Maria Carmela Padula

Background: The neural endophenotype associated with 22q11.2 deletion syndrome (22q11DS) includes deviant cortical development and alterations in brain connectivity. Resting-state functional magnetic resonance imaging (fMRI) findings also reported disconne ...

BioMed Central2015

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Jean-Philippe Thiran, Dimitri Nestor Alice Van De Ville, Stephan Morgenthaler, David Paul Roger Romascano, Patric Hagmann, Djalel Eddine Meskaldji

Detecting local differences between groups of connectomes is a great challenge in neuroimaging, because the large number of tests that have to be performed and the impact on multiplicity correction. Any available information should be exploited to increase ...

Elsevier2015

Characterizing the connectome in schizophrenia with diffusion spectrum imaging

Jean-Philippe Thiran, Alessandra Griffa, Patric Hagmann, Kim Do

Schizophrenia is a complex psychiatric disorder characterized by disabling symptoms and cognitive deficit. Recent neuroimaging findings suggest that large parts of the brain are affected by the disease, and that the capacity of functional integration betwe ...

Wiley-Blackwell2015

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

Dimitri Nestor Alice Van De Ville, Hamid Behjat, Nora Leonardi

A graph based framework for fMRI brain activation mapping is presented. The approach exploits the spectral graphwavelet transform (SGWT) for the purpose of defining an advanced multi-resolutional spatial transformation for fMRI data. The framework extends ...

Elsevier2015

On evaluating the accuracy and biological plausibility of diffusion MRI tractograms

Jean-Philippe Thiran, David Paul Roger Romascano, Alessandro Daducci

One of the major limitations of diffusion MRI tractography is that the tractograms, i.e. set of fiber tracts, recovered by existing algorithms are not truly quantitative. Hence, the structural connectivity between different brain regions, a.k.a. connectomi ...

2015

Detecting intention to grasp during reaching movements from EEG

José del Rocio Millán Ruiz, Luca Randazzo, Ricardo Andres Chavarriaga Lozano, Robert Leeb, Inaki Asier Iturrate Gil

Abstract—Brain-computer interfaces (BCI) have been shown to be a promising tool in rehabilitation and assistive scenarios. Within these contexts, brain signals can be decoded and used as commands for a robotic device, allowing to translate user’s intention ...

2015

Physiological noise in human cerebellar fMRI

Rolf Gruetter, Wietske Van der Zwaag, João Pedro Forjaco Jorge, Denis Butticaz

Objectives To compare physiological noise contributions in cerebellar and cerebral regions of interest in high-resolution functional magnetic resonance imaging (fMRI) data acquired at 7T, to estimate the need for physiological noise removal in cerebellar f ...

Springer Verlag2015

Brain system for mental orientation in space, time, and person

Olaf Blanke, Roy Salomon

Orientation is a fundamental mental function that processes the relations between the behaving self to space (places), time (events), and person (people). Behavioral and neuroimaging studies have hinted at interrelations between processing of these three d ...

Natl Acad Sciences2015

Using Pareto optimality to explore the topology and dynamics of the human connectome

Jean-Philippe Thiran, Alessandra Griffa, Patric Hagmann, Olaf Sporns

Graph theory has provided a key mathematical framework to analyse the architecture of human brain networks. This architecture embodies an inherently complex relationship between connection topology, the spatial arrangement of network elements, and the resu ...

Royal Soc2014

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Large-scale brain network

Multisensory Spatial Mechanisms of the Bodily Self and Social Cognition - A Commentary on Vittorio Gallese and Valentina Cuccio

Structural and functional connectivity in the default mode network in 22q11.2 deletion syndrome

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Characterizing the connectome in schizophrenia with diffusion spectrum imaging

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

On evaluating the accuracy and biological plausibility of diffusion MRI tractograms

Detecting intention to grasp during reaching movements from EEG

Physiological noise in human cerebellar fMRI

Brain system for mental orientation in space, time, and person

Using Pareto optimality to explore the topology and dynamics of the human connectome

Graph Chatbot

Chattez avec Graph Search

Physiological noise in human cerebellar fMRI

Using Pareto optimality to explore the topology and dynamics of the human connectome

Structural and functional connectivity in the default mode network in 22q11.2 deletion syndrome

Multisensory Spatial Mechanisms of the Bodily Self and Social Cognition - A Commentary on Vittorio Gallese and Valentina Cuccio

Improved statistical evaluation of group differences in connectomes by screening-filtering strategy with application to study maturation of brain connections between childhood and adolescence

Brain system for mental orientation in space, time, and person

Anatomically-adapted graph wavelets for improved group-level fMRI activation mapping

On evaluating the accuracy and biological plausibility of diffusion MRI tractograms