A5031894206- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Obsessive-Compulsive Spectrum Disorders
- Advanced Neuroimaging Techniques and Applications
- Neuroscience and Neuropharmacology Research
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- stochastic dynamics and bifurcation
- Neural and Behavioral Psychology Studies
- Traumatic Brain Injury Research
- Transcranial Magnetic Stimulation Studies
- ECG Monitoring and Analysis
- Blind Source Separation Techniques
- Photoreceptor and optogenetics research
- Mental Health Research Topics
- Identity, Memory, and Therapy
- Genetic Neurodegenerative Diseases
- Energy, Environment, Agriculture Analysis
- Neural Networks and Applications
- Memory Processes and Influences
- Memory and Neural Mechanisms
- Resilience and Mental Health
- Nonlinear Dynamics and Pattern Formation
- Posttraumatic Stress Disorder Research
- Body Image and Dysmorphia Studies
QIMR Berghofer Medical Research Institute
2022-2023
IBM Research - Australia
2020-2021
IBM (United States)
2019-2020
IBM Research - Thomas J. Watson Research Center
2020
Institut de Neurosciences des Systèmes
2013-2015
Inserm
2013-2015
Aix-Marseille Université
2013-2015
Vrije Universiteit Amsterdam
2012
Epileptic seizure dynamics span multiple scales in space and time. Understanding mechanisms requires identifying the relations between components within across these scales, together with analysis of their dynamical repertoire. Mathematical models have been developed to reproduce ranging from single neuron neural population. In this study, we develop a network model spiking neurons systematically investigate conditions, under which displays emergent dynamic behaviors known Epileptor, is...
Abstract The diagnosis of obsessive-compulsive disorder (OCD) has been linked with changes in frontostriatal resting-state connectivity. However, replication prior findings is lacking, and the mechanistic understanding these effects incomplete. To confirm advance knowledge on functional connectivity OCD, participants OCD matched healthy controls underwent functional, structural diffusion neuroimaging. Functional systems were here replicated individuals (n = 52) compared 45). showed greater...
Recently, it has been proposed that the harmonic patterns emerging from brain's structural connectivity underlie resting state networks of human brain. These patterns, termed connectome harmonics, are estimated as Laplace eigenfunctions combined gray and white matters matrices yield a connectome-specific extension well-known Fourier basis. However, remains unclear how topological properties connectomes constrain precise shape harmonics their relationships to networks. Here, we systematically...
The study of structure-function relationships in the brain has been an active area research neuroscience. availability imaging data that captures structural connectivity and functional co-activation regions led to multimodal technical frameworks can help disentangle mechanisms linking cognitive abilities alterations. This paper analyzes diffusion resting state magnetic resonance (dMRI rs-fMRI) collected from a population consisting former athletes with history multiple concussions healthy...
Abstract Abnormal gamma band power across cortex and striatum is an important phenotype of Huntington’s disease (HD) in both patients animal models, but neither the origin nor functional relevance this well understood. Here, we analyzed local field potential (LFP) activity freely behaving, symptomatic R6/2 Q175 mouse models corresponding wild-type (WT) controls. We focused on periods quiet rest, which show strong γ HD mice. Simultaneous recording from motor its target area dorsal model...
Abstract Current behavioural treatment of obsessive‐compulsive disorder (OCD) is informed by fear conditioning and involves iteratively re‐evaluating previously threatening stimuli as safe. However, there limited research investigating the neurobiological response to reversal in individuals with OCD. A clinical sample OCD ( N = 45) matched healthy controls underwent functional magnetic resonance imaging. While scanner, participants completed a well‐validated task resting‐state scan. We found...
Seizure detection and seizure-type classification are best performed using intra-cranial or full-scalp electroencephalogram (EEG). In embedded wearable systems however, recordings from only a few electrodes available, reducing the spatial resolution of signals to handful timeseries at most. Taking this constraint into account, we tested performance multiple classifiers subset EEG by selecting single trace montage performing dimensionality reduction over each hemispherical space. Our results...
Neuro-axonal brain damage releases neurofilament light chain (NfL) proteins, which enter the blood. Serum NfL has recently emerged as a promising biomarker for grading axonal damage, monitoring treatment responses, and prognosis in neurological diseases. Importantly, serum levels also increase with aging, interpretation of diseases is incomplete due to lack reliable model age-related variation healthy subjects.Graph signal processing (GSP) provides analytical tools, such graph Fourier...
Modeling transcranial magnetic stimulation (TMS) evoked potentials (TEP) begins with classification of stereotypical single-pulse TMS responses in order to select validation targets for generative dynamical models. Several dimensionality reduction techniques are commonly use extract statistically independent features from experimental data regression against model parameters. Here, we first designed a 3-dimensional feature space based on described event-related (ERP) the literature. We then...
Study of neurological disorders affecting the structure-function relationships in brain has been an ongoing challenge neuroscience. Joint analysis structure and function may disentangle a number mechanisms operations that can help interpret interdependence between white matter degeneration degradation cognitive abilities. In this scenario, graph signal processing different signals generated within physical provide new insights corroborate existing clinical findings. This paper illustrates...
Abstract Current behavioural treatment of obsessive-compulsive disorder (OCD) is informed by fear conditioning and involves iteratively re-evaluating previously threatening stimuli as safe. However, there limited research investigating the neurobiological response to reversal in individuals with OCD. A clinical sample OCD (N=45) matched healthy controls underwent functional Magnetic Resonance Imaging (fMRI). While scanner, participants completed a well-validated task resting-state scan. We...
Epileptic seizures are characterized dynamically on multiple scales in space and time. Understanding the relations between components within across those is among fundamental goals of computational neuroscience [1,2], together with analysis dynamical repertoire such a neural system [3,4]. Previous research this field has developed mathematical models that can reproduce seizure dynamics as either autonomous or driven processes [5]. In study, we start from phenomenological model displaying...
Abstract Large scale brain models encompassing cortico-cortical, thalamo-cortical and basal ganglia processing are fundamental to understand the as an integrated system in healthy disease conditions but complex analyze interpret. Neuronal processes typically segmented by region modality order explain experimental observation at a given scale, integrative frameworks linking scales modalities scarce. Here, we present set of functional requirements used evaluate recently developed large-scale...
Abstract Seizure detection and seizure-type classification are best performed using intra-cranial or full-scalp electroencephalogram (EEG). In embedded wearable systems however, recordings from only a few electrodes available, reducing the spatial resolution of signals to handful timeseries at most. Taking this constraint into account, we tested performance multiple classifiers subset EEG by selecting single trace montage performing dimensionality reduction over each hemispherical space. Our...