A5047664515- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Fetal and Pediatric Neurological Disorders
- Functional Brain Connectivity Studies
- Bone and Joint Diseases
- Parkinson's Disease Mechanisms and Treatments
- Alzheimer's disease research and treatments
- Neurological disorders and treatments
- Seismic Imaging and Inversion Techniques
- Traumatic Brain Injury Research
- Cerebral Palsy and Movement Disorders
- Context-Aware Activity Recognition Systems
- Health, Environment, Cognitive Aging
- Otolaryngology and Infectious Diseases
- Tensor decomposition and applications
- Neonatal and fetal brain pathology
- Multiple Sclerosis Research Studies
- Peripheral Nerve Disorders
- Music and Audio Processing
- Image and Video Stabilization
- Congenital Heart Disease Studies
- Statistical Methods and Inference
- Phonetics and Phonology Research
- Balance, Gait, and Falls Prevention
Solutions Inc. (Japan)
2023
Université de Sherbrooke
2013-2022
Centre Hospitalier Universitaire de Sherbrooke
2015-2017
Laboratoire d'Informatique de Paris-Nord
2017
Western University
2012
CollegeAmerica
2012
The insula is a complex structure involved in wide range of functions. Tracing studies on nonhuman primates reveal array cortical connections the frontal (orbitofrontal and prefrontal cortices, cingulate areas supplementary motor area), parietal (primary secondary somatosensory cortices) temporal (temporal pole, auditory, prorhinal entorhinal lobes. However, recent human tractography have not observed between although these structures are thought to be functionally intimately connected. In...
Abstract Hidden beneath the Sylvian fissure and sometimes considered as fifth lobe of brain, insula plays a multi-modal role from its strategic location. Previous structural studies have reported cortico-cortical connections with frontal, temporal, parietal occipital lobes, but only few looked at subcortical structures. The insular cortex in wide range functions including processing visceral somatosensory inputs, olfaction, audition, language, motivation, craving, addiction emotions such...
Diffusion MRI tractography processing pipeline requires a large number of steps (typically 20+ steps). If parameters these steps, threads, and random seed generators are not carefully controlled, the resulting can easily be non-reproducible non-replicable, even in test-test experiments. To handle issues, we developed TractoFlow. TractoFlow is fully automatic from raw diffusion weighted images to tractography. The also outputs classical tensor imaging measures several fiber orientation...
Recent evidence shows that neuroinflammation plays a role in many neurological diseases including mild cognitive impairment (MCI) and Alzheimer's disease (AD), free water (FW) modeling from clinically acquired diffusion MRI (DTI-like acquisitions) can be sensitive to this phenomenon. This FW index measures the fraction of signal explained by isotropically unconstrained water, as estimated bi-tensor model. In study, we developed simple but powerful whole-brain measure designed for easy...
Abstract Fiber tractography based on non-invasive diffusion imaging is at the heart of connectivity studies human brain. To date, approach has not been systematically validated in ground truth studies. Based a simulated brain dataset with white matter tracts, we organized an open international challenge, which resulted 96 distinct submissions from 20 research groups. While most state-of-the-art algorithms reconstructed 90% bundles to least some extent, average they produced four times more...
High angular resolution diffusion imaging (HARDI)-based tractography has been increasingly used in longitudinal studies on white matter macro- and micro-structural changes the language network during acquisition impairments. However, test-retest reliability measurements are essential to ascertain that variations observed not related data processing. The aims of this study were determine reproducibility reconstruction major fiber bundles using anatomically constrained probabilistic with...
Abstract Since 2015, research groups have sought to produce the ne plus ultra of tractography algorithms using ISMRM 2015 Tractography Challenge as evaluation. In particular, since 2017, machine learning has made its entrance into world. The is most used phantom during validation, although it contains limitations. Here, we offer a new scoring system for this phantom, where segmentation bundles now based on manually defined regions interest rather than bundle recognition. Bundles are more...
Recently proposed tractography and connectomics approaches often require a very large number of streamlines, in the order millions. Generating, storing interacting with these datasets is currently quite difficult, since they lot space memory processing time. Compression common approach to reduce data size, recent method has been consisting removing collinear points streamlines. Removing from streamlines results files that cannot be robustly post-processed interacted existing tools, which are...
Abstract Background Deep Brain Stimulation (DBS) of the Globus pallidus internus (GPi) is gold standard treatment in medically refractory dystonia. Recent evidence indicates that stimulation effects are also due to axonal modulation and affection a fibre network. For GPi, pallidothalamic tracts known be major motor efferent pathways. The aim this study explore anatomic vicinity these DBS electrodes dystonia applying diffusion tractography. Methods Diffusion MRI was acquired ten patients...
Abstract In this article, we used High Angular Resolution Diffusion Imaging (HARDI) with advanced anatomically constrained particle filtering tractography to investigate the role of arcuate fasciculus (AF) and middle longitudinal (MdLF) in speech perception noise younger older adults. Fourteen young 15 elderly adults completed a syllable discrimination task presence broadband masking noise. Mediation analyses revealed few effects age on white matter (WM) these fascicles but broad WM...
The human brain is a complex system that can be efficiently represented as network of structural connectivity. Many imaging studies would benefit from such information, which not always available. In this work, we present whole-brain multi-scale connectome atlas. This tool has been derived cohort 66 healthy subjects imaged with optimal technology in the setting Human Connectome Project. From these data created, using extensively validated diffusion-data processing, tractography and...
Abstract Assessing the consistency of quantitative MRI measurements is critical for inclusion in longitudinal studies and clinical trials. Intraclass coefficient correlation variation were used to evaluate different aspects diffusion‐ myelin‐based measures. Multi‐shell diffusion inhomogeneous magnetization transfer data sets collected from 20 healthy adults at a high‐frequency five sessions. The was evaluated across whole bundles track‐profile along bundles. impact fiber populations on also...
Background: The brain functions as an integrated multi-networked organ. Complex neurocognitive are not attributed to a single area but depend on the dynamic interactions of distributed areas operating in large-scale networks. This is especially important field neurosurgery where intervention within spatially localized may indirectly lead unwanted effects distant areas. As part preliminary work functional connectivity, we present our initial diffusion tensor imaging tractography produce vivo...
In recent years, there has been ever-increasing interest in combining functional magnetic resonance imaging (fMRI) and diffusion (dMRI) for better understanding the link between cortical activity connectivity, respectively. However, it is challenging to detect validate fMRI key sub-cortical areas such as thalamus, given that they are prone susceptibility artifacts due partial volume effects (PVE) of surrounding tissues (GM/WM interface). This especially true on relatively low-field clinical...
White matter alterations have previously been demonstrated in adolescents born with congenital heart disease (CHD) using diffusion tensor imaging (DTI). However, due to the non-specific nature of DTI metrics, it is difficult interpret these findings terms their microstructural implications. This study investigated use neurite orientation dispersion and density (NODDI), which involves acquisition advanced multiple b-value data over two shells provides proxy measures apparent axon within white...
Abstract We present MRI data from a single human volunteer consisting in over 599 multi-contrast MR images (T1-weighted, T2-weighted, proton density, fluid-attenuated inversion recovery, T2* gradient-echo, diffusion, susceptibility-weighted, arterial-spin labelled, and resting state BOLD functional connectivity imaging) acquired 73 sessions on 36 different scanners (13 models, three manufacturers) the course of 15+ years ( cf . Data records). included planned collection within Consortium...