A5062266296- Advanced MRI Techniques and Applications
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Cerebrovascular and Carotid Artery Diseases
- Neural and Behavioral Psychology Studies
- Motor Control and Adaptation
- Transcranial Magnetic Stimulation Studies
- MRI in cancer diagnosis
- Visual perception and processing mechanisms
- Pain Mechanisms and Treatments
- Brain Tumor Detection and Classification
- Blind Source Separation Techniques
- NMR spectroscopy and applications
- Pain Management and Treatment
- Neural Networks and Applications
- Neuroscience and Neural Engineering
- Diet and metabolism studies
- Acute Ischemic Stroke Management
- Heart Rate Variability and Autonomic Control
- Neuroscience and Neuropharmacology Research
- Menopause: Health Impacts and Treatments
- Neuroscience and Music Perception
- Medical Image Segmentation Techniques
Université de Sherbrooke
2016-2025
Centre Hospitalier Universitaire de Sherbrooke
2015-2024
Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
2019-2020
Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-Jean
2020
Resonance Research (United States)
2018
Mayo Clinic
2018
Sherbrooke O.E.M (Canada)
2016
Alberta Bible College
2015
Cognitive Neuroimaging Lab
2015
Family Medicine Residency of Idaho
2014
Abstract Introduction Unlike for glucose, uptake of the brain's main alternative fuel, ketones, remains normal in mild cognitive impairment (MCI). Ketogenic medium chain triglycerides (kMCTs) could improve cognition MCI by providing brain with more fuel. Methods Fifty‐two subjects were blindly randomized to 30 g/day kMCT or matching placebo. Brain ketone and glucose metabolism (quantified positron emission tomography; primary outcome) performance (secondary assessed at baseline 6 months...
Abstract Background Information theory is an increasingly popular framework for studying how the brain encodes sensory information. Despite its widespread use analysis of spike trains single neurons and small neural populations, application to other types neurophysiological signals (EEGs, LFPs, BOLD) has remained relatively limited so far. This due limited-sampling bias which affects calculation information, complexity techniques eliminate bias, lack publicly available fast routines...
Background:In Alzheimer's disease (AD), it is unknown whether the brain can utilize additional ketones as fuel when they are derived from a medium chain triglyceride (MCT) supplement. Objective:To assess ketone uptake in AD increases response to MCT would young healthy adu lts. Methods:Mild-moderate patients sequentially consumed 30 g/d of two different supplements, both for one month: mixture caprylic (55%) and capric acids (35%) (n = 11), followed by wash-out then tricaprylin (95%; n 6)....
It has long been assumed that the surface electroencephalography (EEG) signal depends on both amplitude and spatial synchronization of underlying neural activity, though isolating their respective contribution remains elusive. To address this, we made simultaneous EEG measurements along with intracortical recordings local field potentials (LFPs) in primary visual cortex behaving nonhuman primates. We found trial-by-trial fluctuations power could be explained by a linear combination LFP...
Abstract While several methodologies exist for quantifying gray and white matter properties in humans, relatively little is known regarding the spatial organization intersubject variability of cerebral vessels. To resolve this, we developed a fast, open‐source processing algorithm using advanced vessel segmentation schemes iterative nonlinear registration to isolate, extract, quantify vessels susceptibility weighting imaging (SWI) time‐of‐flight angiography (TOF‐MRA) datasets acquired large...
The computerized process of reconstructing white matter tracts from diffusion MRI (dMRI) data is often referred to as tractography. Tractography nowadays central in structural connectivity since it the only non-invasive technique obtain information about brain wiring. Most publicly available tractography techniques and most studies are based on a fixed set parameters. However, scale curvature fiber bundles can vary region brain. Therefore, depending area interest or subject (e.g. healthy...
Abstract Functional magnetic resonance imaging (fMRI) has become one of the primary tools used for noninvasively measuring brain activity in humans. For most part, blood oxygen level‐dependent (BOLD) contrast is used, which reflects changes hemodynamics associated with active tissue. The main advantage BOLD signal that it relatively easy to measure and thus often as a proxy comparing function across population groups (i.e., control vs. patient). However, particularly weighted toward veins...
Abstract Diffusion‐weighted (DW) magnetic resonance imaging (MRI) tractography has become the tool of choice to probe human brain's white matter in vivo. However, algorithms produce a large number erroneous streamlines (false positives), largely due complex ambiguous tissue configurations. Moreover, relationship between resulting and underlying microstructure characteristics remains poorly understood. In this work, we introduce new approach simultaneously reconstruct fascicles characterize...
Streamline tractography algorithms infer connectivity from diffusion MRI (dMRI) by following directions which are similarly aligned between neighboring voxels. However, not all white matter (WM) fascicles organized in this manner. For example, Meyer's loop is a highly curved portion of the optic radiation (OR) that exhibits narrow turn, kissing and crossing pathways, changes fascicle dispersion. From neurosurgical perspective, damage to carries potential risk inducing vision deficits...
Despite evidence of an association between prenatal acetaminophen exposure and attention-deficit/hyperactivity disorder (ADHD) in offspring, the drug is not contraindicated during pregnancy, possibly because prior studies have relied on maternal self-report, failed to quantify dose, lacked mechanistic insight.To examine measured meconium (hereinafter referred as acetaminophen) ADHD children aged 6 7 years, along with potential for mediation by functional brain connectivity.This prospective...
The electroencephalogram (EEG) reflects the electrical activity in brain on surface of scalp. A major challenge this field is localization sources responsible for eliciting EEG signal measured at In order to estimate location these sources, one must correctly model i.e., dipoles, as well volume conductor which resulting currents flow. study, we investigate effects dipole depth and orientation source with varying sets simulated random noise 4 realistic head models.Dipole simulations were...
Functional Magnetic Resonance Imaging (fMRI) has quickly grown into one of the most important tools for studying brain function, especially in humans. Despite its prevalence, we still do not have a clear picture what exactly blood oxygenation level dependent (BOLD) signal represents or how it compares to signals obtained with other methods (e.g., electrophysiology). We particularly refer single neuron recordings and electroencephalography when mention 'electrophysiological methods', given...
Several studies have suggested that glucose hypometabolism may be present in specific brain regions cognitively normal older adults and could contribute to the risk of subsequent cognitive decline. However, certain methodological shortcomings, including a lack partial volume effect (PVE) correction or insufficient testing, confound interpretation most on this topic. We combined [ 18 F]fluorodeoxyglucose ([ F]FDG) positron emission tomography (PET) magnetic resonance (MR) imaging quantify...
Rhythmic activity plays a central role in neural computations and brain functions ranging from homeostasis to attention, as well neurological neuropsychiatric disorders. Despite this pervasiveness, little is known about the mechanisms whereby frequency power of oscillatory are modulated, how they reflect inputs received by neurons. Numerous studies have reported input-dependent fluctuations peak (as couplings across these features). However, it remains unresolved what mediates spectral...
The parietal cortex is thought to be involved in visuomotor adaptation, yet it remains unclear whether specifically modulated by prediction errors (i.e. PEs; mismatch between the predicted and actual visual consequences of movement). One reason for this that PEs tend associated with task errors, as well changes motor output input, making them difficult isolate. Here issue addressed using electroencephalography. A strategy (STR) condition, which participants were instructed on how counter a...