A5015821091- Functional Brain Connectivity Studies
- Vestibular and auditory disorders
- Advanced Neuroimaging Techniques and Applications
- Motor Control and Adaptation
- Neural and Behavioral Psychology Studies
- Hemispheric Asymmetry in Neuroscience
- Neural dynamics and brain function
- Muscle activation and electromyography studies
- Neuroscience and Neural Engineering
- Transcranial Magnetic Stimulation Studies
- Electrochemical Analysis and Applications
- Schizophrenia research and treatment
- Genetic Neurodegenerative Diseases
- Advanced MRI Techniques and Applications
- EEG and Brain-Computer Interfaces
- Neuroscience and Neuropharmacology Research
- Mental Health Research Topics
- AI in cancer detection
- Medical Image Segmentation Techniques
- Brain Tumor Detection and Classification
- Ophthalmology and Eye Disorders
- Neuroscience of respiration and sleep
- Neurological disorders and treatments
- Memory and Neural Mechanisms
- Medical Imaging and Analysis
Western University
2023-2025
University of California, Berkeley
2024
Brown University
2024
Western University of Health Sciences
2024
Western Institute For Biomedical Research
2024
University of Oxford
2019-2023
University of Cambridge
2021-2023
Wellcome Centre for Integrative Neuroimaging
2019-2022
MRC Brain Network Dynamics Unit
2021-2022
Medical Research Council
2021-2022
Functional magnetic resonance imaging (fMRI) studies have documented cerebellar activity across a wide array of tasks. However, the functional contribution cerebellum within these task domains remains unclear because is often studied in isolation. This problematic, as fMRI may simply reflect transmission neocortical through fixed connections. Here, we present new approach that addresses this problem. Rather than focus on task-dependent changes alone, ask if inputs to are gated manner. We...
ABSTRACT The human cerebellum is activated by a wide variety of cognitive and motor tasks. Previous functional atlases have relied on single task-based or resting-state fMRI datasets. Here, we present atlas that integrates information from 7 large-scale datasets, outperforming existing group atlasses. new has three further advantages: First, the allows for precision mapping in individuals: integration probabilistic with an individual localizer scan results marked improvement prediction...
Abstract Translating noisy sensory signals to perceptual decisions is critical for successful interactions in complex environments. Learning known improve judgments by filtering external noise and task-irrelevant information. Yet, little about the brain mechanisms that mediate learning-dependent suppression. Here, we employ ultra-high field magnetic resonance spectroscopy of GABA test whether suppressive processing decision-related visual areas facilitates during training. We demonstrate...
Inhibition mediated by γ-aminobutyric acid (GABA) is implicated in motor plasticity and learning, with [GABA] the cortex decreasing during learning. However, causal relationship between learning has yet to be determined. Here, we conducted a within-subject, double-blind, placebo-controlled, crossover study investigate effect of increased GABAergic inhibition via GABAB-receptor agonist baclofen on Magnetic Resonance Spectroscopic Imaging (MRSI) metrics. Increasing GABA-mediated did not change...
Mapping a patient's speech as network has proved to be useful way of understanding formal thought disorder in psychosis. However, date, graph theory tools have not explicitly modelled the semantic content speech, which is altered psychosis.We developed an algorithm, "netts," map network, then applied netts construct networks for general population sample (N = 436), and clinical comprising patients with first episode psychosis (FEP), people at high risk (CHR-P), healthy controls (total N...
Abstract One important barrier in the development of complex models human brain organization is lack a large and comprehensive task-based neuro-imaging dataset. Therefore, current atlases functional are mainly based on single homogeneous resting-state datasets. Here, we propose hierarchical Bayesian framework that can learn probabilistically defined parcellation across numerous datasets, exploiting their combined strengths. The partitioned into spatial arrangement model defines probability...
Summary fMRI studies have documented cerebellar activity across a wide array of tasks. However, the functional contribution cerebellum within these task domains remains unclear because is often studied in isolation. This problematic, as may simply reflect transmission neocortical through fixed connections. Here we present new approach that addresses this problem. Rather than focus on task-dependent changes alone, ask if inputs to are gated manner. We hypothesize input upregulated when...
<title>Abstract</title> The human cerebellum is activated by a wide variety of cognitive and motor tasks. Previous functional atlases have relied on single task-based or resting-state fMRI datasets. Here, we present atlas that integrates information from 7 large-scale datasets, outperforming existing group atlasses. new has three further advantages: First, the regions are hierarchically organized across 3 levels, allowing analyses at appropriate level granularity. Second, provide both...
Functional magnetic resonance imaging (fMRI) studies have documented cerebellar activity across a wide array of tasks. However, the functional contribution cerebellum within these task domains remains unclear because is often studied in isolation. This problematic, as fMRI may simply reflect transmission neocortical through fixed connections. Here, we present new approach that addresses this problem. Rather than focus on task-dependent changes alone, ask if inputs to are gated manner. We...
Abstract Different task-based and resting-state imaging datasets provide complementary information about the organization of human brain. Brain parcellations based on single will therefore be biased towards particular type present in each dataset. To overcome this limitation, we propose here a hierarchical Bayesian framework that can learn probabilistic brain parcellation across numerous datasets, exploiting their combined strengths. The is partitioned into spatial arrangement model defines...
Motor adaptation is crucial for performing accurate movements in a changing environment and relies on the cerebellum. Although cerebellar involvement has been well characterized, neurochemical changes cerebellum underpinning human motor remain unknown. We used novel magnetic resonance spectroscopic imaging (MRSI) technique to measure inhibitory neurotransmitter GABA during visuomotor adaptation. Participants (<i>n</i> = 17, six female) their right hand adapt rotated cursor scanner, compared...
Abstract Motor adaptation is fundamental to maintaining accurate movements under changing conditions, but the neurochemical basis of human motor not well understood. Here, we used an ultra-high-field MR multimodal acquisition address hypothesis that M1 GABA and M1-Cerebellar functional connectivity would relate retention adaptation, adaptation. As such, demonstrate higher baseline [GABA] relates greater does adaptation-acquisition. This relationship mediated by change in connectivity: a...
fMRI studies have documented cerebellar activity across a wide array of tasks. However, the functional contribution cerebellum within these task domains remains unclear because is often studied in isolation. This problematic, as may simply reflect transmission neocortical through fixed connections. Here we present new approach that addresses this problem. Rather than focus on task-dependent changes alone, ask if inputs to are gated manner. We hypothesize input upregulated when functionally...
fMRI studies have documented cerebellar activity across a wide array of tasks. However, the functional contribution cerebellum within these task domains remains unclear because is often studied in isolation. This problematic, as may simply reflect transmission neocortical through fixed connections. Here we present new approach that addresses this problem. Rather than focus on task-dependent changes alone, ask if inputs to are gated manner. We hypothesize input upregulated when functionally...