Home

Person

Gabriel Girard

About
Privacy
Disclaimer

Graph Chatbot

Related publications (44)

Hierarchical Microstructure Informed Tractography

Alessandro Daducci, Gabriel Girard, Maxime Descoteaux

Background: Tractography uses diffusion magnetic resonance imaging to noninvasively infer the macroscopic pathways of white matter fibers and it is the only available technique to probe in vivo the structural connectivity of the brain. However, despite thi ...

MARY ANN LIEBERT, INC2021

A Signal Peak Separation Index for axisymmetric B-tensor encoding

Jean-Philippe Thiran, Benoît Macq, Gabriel Girard, Gaëtan Olivier D Rensonnet, Jonathan Rafael Patino Lopez, Marco Pizzolato

Diffusion-weighted MRI (DW-MRI) has recently seen a rising interest in planar, spherical and general B-tensor encodings. Some of these sequences have aided traditional linear encoding in the estimation of white matter microstructural features, generally by ...

Springer2021

The Complex Hodological Architecture of the Macaque Dorsal Intraparietal Areas as Emerging from Neural Tracers and DW-MRI Tractography

Gabriel Girard

In macaque monkeys, dorsal intraparietal areas are involved in several daily visuomotor actions. However, their border and sources of cortical afferents remain loosely defined. Combining retrograde histologic tracing and MRI diffusion-based tractography, w ...

SOC NEUROSCIENCE2021

The Microstructural Features of the Diffusion-Simulated Connectivity (DiSCo) Dataset

Jean-Philippe Thiran, Gabriel Girard, Jonathan Rafael Patino Lopez, Marco Pizzolato

We present a detailed description of the structural characteristics of the MICCAI 2021 Diffusion Simulated Connectivity (DiSCo) Challenge synthetic dataset. The DiSCo dataset are one of a kind numerical phantoms for the simulation of the diffusion-weighted ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

Cortical Surfaces Integration with Tractography for Structural Connectivity Analysis

Gabriel Girard, Maxime Descoteaux

Background: Mapping diffusion MRI tractography streamlines to the cortical surface facilitates the integration of white matter features onto gray matter, especially for connectivity analysis. ...

MARY ANN LIEBERT, INC2021

The structural connectome and motor recovery after stroke: predicting natural recovery

Jean-Philippe Thiran, Philip Egger, Elena Beanato, Gabriel Girard, Friedhelm Christoph Hummel, Takuya Morishita, Maximilian Jonas Wessel, Philipp Johannes Koch, Giorgia Giulia Evangelista, Chang-Hyun Park

Stroke patients vary considerably in terms of outcomes: some patients present ‘natural’ recovery proportional to their initial impairment (fitters), while others do not (non-fitters). Thus, a key challenge in stroke rehabilitation is to identify individual ...

2021

The diffusion-simulated connectivity (DiSCo) dataset

Jean-Philippe Thiran, Gabriel Girard, Jonathan Rafael Patino Lopez, Marco Pizzolato

The methodological development in the mapping of the brain structural connectome from diffusion-weighted mag-netic resonance imaging (DW-MRI) has raised many hopes in the neuroscientific community. Indeed, the knowledge of the connections between different ...

ELSEVIER2021

Disconnectomics of the Rich Club Impacts Motor Recovery After Stroke

Philip Egger, Elena Beanato, Gabriel Girard, Friedhelm Christoph Hummel, Philipp Johannes Koch, Giorgia Giulia Evangelista, Chang-Hyun Park

BACKGROUND AND PURPOSE: Structural brain networks possess a few hubs, which are not only highly connected to the rest of the brain but are also highly connected to each other. These hubs, which form a rich-club, play a central role in global brain organiza ...

2021

Quantitative Evaluation of Enhanced Multi-plane Clinical Fetal Diffusion MRI with a Crossing-Fiber Phantom

Meritxell Bach Cuadra, Gabriel Girard, Erick Jorge Canales Rodriguez, Marco Pizzolato

Diffusion Magnetic Resonance Imaging (dMRI) has become widely used to study in vivo white matter tissue properties noninvasively. However, fetal dMRI is greatly limited in Signal-to-Noise ratio and spatial resolution. Due to the uncontrollable fetal motion ...

SPRINGER INTERNATIONAL PUBLISHING AG2021

On the cortical connectivity in the macaque brain: A comparison of diffusion tractography and histological tracing data

Jean-Philippe Thiran, Giorgio Innocenti, Gabriel Girard, Maxime Descoteaux, Tim Bjørn Dyrby

Diffusion-weighted magnetic resonance imaging (DW-MRI) tractography is a non-invasive tool to probe neural connections and the structure of the white matter. It has been applied successfully in studies of neurological disorders and normal connectivity. Rec ...

2020

Tractostorm: The what, why, and how of tractography dissection reproducibility

David Paul Roger Romascano, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard, Maxime Descoteaux

Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle segmentation, often called "virtual dissection." Human errors and personal decisions make these manual segmentations har ...

Wiley2020

Robust Monte-Carlo Simulations in Diffusion-MRI: Effect of the Substrate Complexity and Parameter Choice on the Reproducibility of Results

Jean-Philippe Thiran, David Paul Roger Romascano, Gabriel Girard, Jonathan Rafael Patino Lopez, Erick Jorge Canales Rodriguez, Alonso Ramirez Manzanares

Monte-Carlo Diffusion Simulations (MCDS) have been used extensively as a ground truth tool for the validation of microstructure models for Diffusion-Weighted MRI. However, methodological pitfalls in the design of the biomimicking geometrical configurations ...

2020

DWI Simulation-Assisted Machine Learning Models for Microstructure Estimation

Jean-Philippe Thiran, Muhamed Barakovic, Gabriel Girard, Jonathan Rafael Patino Lopez, Erick Jorge Canales Rodriguez, Marco Pizzolato, Thomas Yu

Diffusion MRI (DW-MRI) allows for the detailed exploration of the brain white matter microstructure, with applications in both research and the clinic. However, state-of-the-art methods for microstructure estimation suffer from known limitations, such as t ...

Springer Nature2020

Topological principles and developmental algorithms might refine diffusion tractography

Jean-Philippe Thiran, Giorgio Innocenti, Alessandro Daducci, Gabriel Girard, Maxime Descoteaux, Tim Bjørn Dyrby

The identification and reconstruction of axonal pathways in the living brain or “ex-vivo” is promising a revolution in connectivity studies bridging the gap from animal to human neuroanatomy with extensions to brain structural–functional correlates. Unfort ...

2019

Sparse wars: A survey and comparative study of spherical deconvolution algorithms for diffusion MRI

Jean-Philippe Thiran, David Paul Roger Romascano, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard, Gaëtan Olivier D Rensonnet, Jonathan Rafael Patino Lopez, Erick Jorge Canales Rodriguez, Marco Pizzolato

Spherical deconvolution methods are widely used to estimate the brain's white-matter fiber orientations from diffusion MRI data. In this study, eight spherical deconvolution algorithms were implemented and evaluated. These included two model selection tech ...

2019

On the intrahemispheric connectivity of the monkey: a diffusion tractography and tract tracing analysis

Giorgio Innocenti, Gabriel Girard, Maxime Descoteaux

In this work, we compare diffusion tractography with neuronal retrograde tract tracing of the frontal, cingulate and parietal areas of the monkey. In this work, we compare diffusion tractography with neuronal retrograde tract tracing of the frontal, cingul ...

International Society for Magnetic Resonance in Medicine2019

Improving Graph-Based Tractography Plausibility Using Microstructure Information

Jean-Philippe Thiran, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard

2019

Robust Biophysical Parameter Estimation with a Neural Network Enhanced Hamiltonian Markov Chain Monte Carlo Sampler

Jean-Philippe Thiran, Gabriel Girard, Jonathan Rafael Patino Lopez, Erick Jorge Canales Rodriguez, Marco Pizzolato, Thomas Yu

Probabilistic parameter estimation in model fitting runs the gamut from maximum likelihood or maximum a posteriori point estimates from optimization to Markov Chain Monte Carlo (MCMC) sampling. The latter, while more computationally intensive, generally pr ...

SPRINGER INTERNATIONAL PUBLISHING AG2019

Assessing feasibility and reproducibility of a bundle-specific framework on in vivo axon diameter estimates at 300mT/m

Jean-Philippe Thiran, Giorgio Innocenti, David Paul Roger Romascano, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard, Maxime Descoteaux, Jonathan Rafael Patino Lopez

In vivo quantitative estimation of axon diameter in the white matter could bring new tools to study the structural and functional architecture of the brain. Recently, the feasibility of axon diameter estimation with diffusion-weighted MRI (DW-MRI) has been ...

2018

Reducing false positives in tractography with microstructural and anatomical priors

Jean-Philippe Thiran, Alessandro Daducci, Muhamed Barakovic, Gabriel Girard, Maxime Descoteaux

Tractography has proven particularly effective for studying noninvasively the neuronal architecture of the brain but recent studies have showed that the high incidence of false positives can significantly bias any connectivity analysis. We present a novel ...

2018

Page 2 of 3