A5042419774- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Sleep and Wakefulness Research
- Cell Image Analysis Techniques
- Electron and X-Ray Spectroscopy Techniques
- Neural dynamics and brain function
- Sleep and related disorders
- Neural and Behavioral Psychology Studies
- Health, Environment, Cognitive Aging
- Neurobiology of Language and Bilingualism
- Memory and Neural Mechanisms
- Neuroscience and Music Perception
- Brain Tumor Detection and Classification
- Optical Imaging and Spectroscopy Techniques
- Circadian rhythm and melatonin
- Motor Control and Adaptation
- Otolaryngology and Infectious Diseases
- Cognitive Science and Education Research
- Evolutionary Algorithms and Applications
- Cognitive Science and Mapping
- Advanced Memory and Neural Computing
- Robotics and Automated Systems
- Genetics and Neurodevelopmental Disorders
Institut Universitaire de Gériatrie de Montréal
2016-2024
Université de Montréal
2016-2024
Inserm
2012-2019
Sorbonne Université
2012-2019
Centre National de la Recherche Scientifique
2016-2019
Laboratoire d’Imagerie Biomédicale
2016-2019
Montreal Neurological Institute and Hospital
2018-2019
Université du Québec à Montréal
2019
Imaging Center
2019
McGill University
2018
Abstract Tractography based on non-invasive diffusion imaging is central to the study of human brain connectivity. To date, approach has not been systematically validated in ground truth studies. Based a simulated data set with tracts, we organized an open international tractography challenge, which resulted 96 distinct submissions from 20 research groups. Here, report encouraging finding that most state-of-the-art algorithms produce tractograms containing 90% bundles (to at least some...
Functional magnetic resonance imaging (fMRI) studies investigating the acquisition of sequential motor skills in humans have revealed learning-related functional reorganizations cortico-striatal and cortico-cerebellar systems accompanied with an initial hippocampal contribution. Yet, significance these activity-level changes remains ambiguous as they convey evolution both sequence-specific knowledge unspecific task ability. Moreover, do not specifically assess occurrence plasticity. To...
Motor memory consolidation is thought to depend on sleep-dependent reactivation of brain areas recruited during learning. However, up this point, there has been no direct evidence support assertion in humans, and the physiological processes supporting such are unknown. Here, simultaneous electroencephalographic functional magnetic resonance imaging (EEG-fMRI) recordings were conducted post-learning sleep directly investigate spindle-related a trace formed motor sequence learning (MSL), its...
Sleep benefits motor memory consolidation, which is mediated by sleep spindle activity and associated reactivations during non-rapid eye movement (NREM) sleep. However, the particular role of NREM2 NREM3 spindles mechanisms triggering this consolidation process remain unclear. Here, simultaneous electroencephalographic functional magnetic resonance imaging (EEG-fMRI) recordings were collected night-time following learning a sequence task. Adopting time-based clustering approach, we provide...
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...
There is now ample evidence that sleep spindles play a critical role in the consolidation of newly acquired motor sequences. Previous studies have also revealed interplay between different types oscillations (e.g. spindles, slow waves, sharp-wave ripples) promotes process declarative memories. Yet functional contribution this type frequency-specific interactions to memory remains unknown. Thus, study sought investigate whether spindle are associated with low- or high-frequency activity at...
How does the brain integrate multiple sources of information to support normal sensorimotor and cognitive functions? To investigate this question we present an overall architecture (called "the dual intertwined rings architecture") that relates functional specialization cortical networks their spatial distribution over cerebral cortex (or "corticotopy"). Recent results suggest resting state (RSNs) are organized into two large families: 1) a family includes visual, somatic, auditory areas 2)...
Behavioral, cognitive and functional particularities in autism differ according to subgroups might be associated with domain-specific strengths. It is unknown whether structural changes support this specialization. We investigated the link between cortical folding, its maturation strengths presenting verbal or visuo-spatial peaks of abilities. measured gyrification, a index related function, 55 autistic participants (AS-SOD, N = 27) without (AS-NoSOD, 28) speech onset delay (SOD) similar...
Animal models suggest that consolidated memories return to their labile state when reactivated and need be restabilized through reconsolidation processes persist. Consistent with this notion, post-reactivation pharmacological protein synthesis blockage results in mnemonic failure hippocampus-dependent memories. It has been proposed that, humans, experience a competitive task can also interfere memory restabilization. However, several studies failed induce performance deficit implementing...
Brain decoding aims to infer cognitive states from patterns of brain activity. Substantial inter-individual variations in functional organization challenge accurate performed at the group level. In this paper, we tested whether models can be trained entirely individual We several classifiers on a dense magnetic resonance imaging (fMRI) dataset for which six participants completed entire Human Connectome Project (HCP) task battery >13 times over ten separate fMRI sessions. evaluated nine...
Abstract Dense functional magnetic resonance imaging datasets open new avenues to create auto-regressive models of brain activity. Individual idiosyncrasies are obscured by group models, but can be captured purely individual given sufficient amounts training data. In this study, we compared several deep and shallow on the temporal auto-regression BOLD time-series recorded during a natural video-watching task. The best performing were then analyzed in terms their data requirements scaling,...
Growing evidence from the neuroscience of aging suggests that executive function plays a pivotal role in maintaining semantic processing performance. However, presumed age-related activation changes sustain remain poorly understood. The aim this study was to explore aspects during word-matching task with regard neuro-functional reorganization, as well identify factors influence control profiles. Twenty younger and 20 older participants underwent fMRI scanning. experimental based on...
Abstract Sleep benefits motor memory consolidation, which is mediated by sleep spindle activity and associated reactivations during non-rapid eye movement (NREM) sleep. However, the particular role of NREM2 NREM3 spindles mechanisms triggering this consolidation process remain controversial. Here, simultaneous electroencephalographic functional magnetic resonance imaging (EEG-fMRI) recordings were collected night-time following learning a sequence task. Adopting time-based clustering...
Reconsolidation theory posits that upon retrieval, consolidated memories are destabilized and need to be restabilized in order persist. It has been suggested experience with a competitive task immediately after memory retrieval may interrupt these restabilization processes leading loss. Indeed, using motor sequence learning paradigm, we have recently shown that, humans, interference training active task-based of the knowledge negatively affect its performance levels. Assessing changes...
Abstract FMRI studies investigating the acquisition of sequential motor skills in humans have revealed learning-related functional reorganizations cortico-striatal and cortico-cerebellar systems link with hippocampus. Yet, significance these activity level changes is not fully understood as they convey evolution both sequence-specific knowledge unspecific task expertise. Moreover, do specifically assess occurrence plasticity. To address issues, we investigated local circuits tuning to...
Functional MRI acquisition is sensitive to subjects' motion that cannot be fully constrained. Therefore, signal corrections have applied a posteriori in order mitigate the complex interactions between changing tissue localization and magnetic fields, gradients readouts. To circumvent current preprocessing strategies limitations, we developed an integrated method correct spatial low-frequency intensity fluctuations at level of each slice better fit processes. The registration single or...
In recent years, videogames have gathered interest in cognitive neuroscience for their potential to study cognition dynamical and naturalistic contexts. Yet, inherent game complexity can push traditional modeling its limits, current annotation methodologies may not fully capture the depth of content. Neuroimaging studies resorted manual annotations or employed modified versions that offer greater experimental control, both approaches limiting labor-intensive. Here, we introduce an innovative...
Quantitative MRI (qMRI) promises better specificity, accuracy, and stability relative to its clinically-used qualitative counterpart.Longitudinal is particularly important in qMRI.The goal reliably quantify tissue properties that may be assessed longitudinal clinical studies throughout disease progression or during treatment.In this work, we present the initial data release of quantitative portion Courtois project on neural modelling (CNeuroMod), where brain cervical spinal cord six...
The stability of quantitative MRI measures microstructure in the brain and spinal cord was quantified longitudinally over three years. Six healthy subjects were scanned approximately four times per year with an structural imaging protocol (T1w, T2w, T2*w, DWI, MP2RAGE, MTsat, B1). intra-subject COV indicated good all metrics measured (< 2.3% WM, < 3.1% GM). resulted slightly higher COVs (3.9% - 9.5%). This work is part a larger project, Courtois project on neural modelling (CNeuroMod).