A5031679724- Autism Spectrum Disorder Research
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Attention Deficit Hyperactivity Disorder
- Bayesian Methods and Mixture Models
- Neural and Behavioral Psychology Studies
- Bach Studies and Logistics Development
- Neuroscience and Neural Engineering
- Blind Source Separation Techniques
- Genetics and Neurodevelopmental Disorders
- Musicology and Musical Analysis
- Obsessive-Compulsive Spectrum Disorders
- Visual perception and processing mechanisms
- Statistical Methods and Bayesian Inference
- Psychology of Development and Education
- Domain Adaptation and Few-Shot Learning
- Language Development and Disorders
- Tuberous Sclerosis Complex Research
- Statistical Methods and Inference
- Polyomavirus and related diseases
- Neural Networks and Applications
- Korean Urban and Social Studies
- Electromagnetic Fields and Biological Effects
- Machine Learning in Healthcare
Neurobehavioral Systems
2019-2024
University of California, Los Angeles
2018-2024
Center for Autism and Related Disorders
2017-2024
University of Sheffield
2014-2018
Ronald Reagan UCLA Medical Center
2018
UCLA Medical Center
2018
Abstract Cognitive function varies substantially and serves as a key predictor of outcome response to intervention in autism spectrum disorder ( ASD ), yet we know little about the neurobiological mechanisms that underlie cognitive children with . The dynamics neuronal oscillations alpha range (6–12 Hz) are associated cognition typical development. Peak frequency is also highly sensitive developmental changes neural networks, which function, therefore, it holds promise developmentally marker...
Objective: Two-alternative forced-choice tasks are widely used to gain insight into specific areas of enhancement or impairment in individuals with autism spectrum disorder (ASD).Data arising from these have been support myriad theories regarding the integrity, otherwise, particular brain cognitive processes ASD.The drift diffusion model (DDM) provides an account underlying which give rise accuracy and reaction time distributions, parameterises terms direct psychological...
Tuberous sclerosis complex (TSC) is a rare genetic disorder that confers high risk for autism spectrum disorders (ASD), with behavioral predictors of ASD emerging early in life. Deviations structural and functional neural connectivity are highly implicated both TSC ASD. For the first time, we explore whether electroencephalographic (EEG) measures network function precede or predict emergence TSC. We determine altered brain (a) present infancy TSC, (b) differentiates infants based on...
This is a repository copy of Superior orientation discrimination and increased peak gamma frequency in autism spectrum conditions..
Individual differences in orientation discrimination threshold are related to both visually-induced peak gamma frequency and the presence of autistic traits. The relationship between thresholds may be due these factors being mediated by levels neural inhibition. No study has previously measured Thus, this was aim present study. We traits a neurotypical human sample (N = 33), separately recorded electroencephalography measure visually induced activity. In line with our prediction, we found...
Objectives: Biomarkers of atypical brain development are crucial for advancing clinical trials and guiding therapeutic interventions in Angelman syndrome (AS). Electroencephalography (EEG) captures well-characterized developmental changes peak alpha frequency (PAF) that reflect underlying neural circuit maturation may provide a sensitive metric mapping trajectories AS. Method: We analyzed EEG recordings from 159 children with AS (ages 1 to 15 years) 185 age-matched typically developing (TD)...
Autism spectrum condition (ASC) is characterised by differences in social interaction and behavioural inflexibility. In addition to these core symptoms, atypical sensory responses are prevalent the ASC phenotype. Here we investigated anomalous perception, i.e. hallucinatory and/or out of body experiences adults with ASC. Thirty participants an diagnosis thirty neurotypical controls completed Cardiff Anomalous Perception Scale (CAPS) Social Responsiveness (SRS-2). The CAPS a 32-item...
Abstract Auditory statistical learning (ASL) plays a role in language development and may lay foundation for later social communication impairment. As part of longitudinal study infant siblings, we asked whether electroencephalography (EEG) measures connectivity during ASL at 3 months age‐differentiated infants who showed signs autism spectrum disorder (ASD) age 18 months. We measured spectral power phase coherence the theta (4–6 Hz) alpha (6–12 frequency bands within putative networks....
Abstract The non-invasive neuromodulation technique tDCS offers the promise of a low-cost tool for both research and clinical applications in psychology, psychiatry, neuroscience. However, findings regarding its efficacy are often equivocal. A key issue is that cognitive studied complex thus effects difficult to predict given known on basic underlying neurophysiology, namely alterations cortical inhibition-excitation balance. As such, it may be beneficial assess tasks whose performance has...
Motor impairments occur frequently in genetic syndromes highly penetrant for autism spectrum disorder (syndromic ASD) and individuals with ASD without a diagnosis (nonsyndromic ASD). In particular, abnormalities gait have been linked to language delay, severity, likelihood of having disorder. Quantitative measures motor function can improve our ability evaluate differences syndromic nonsyndromic varying levels intellectual disability adaptive skills. To this methodology, we chose use...
Electroencephalography (EEG) studies produce region‐referenced functional data in the form of EEG signals recorded across electrodes on scalp. It is clinical interest to relate highly structured scalar outcomes such as diagnostic status. In our motivating study, resting‐state collected both typically developing (TD) children and with autism spectrum disorder (ASD) aged 2 12 years old. The peak alpha frequency (PAF), defined location a prominent band spectral density, an important biomarker...
Visual statistical learning (VSL) refers to the ability extract associations and conditional probabilities within visual environment. It may serve as a precursor cognitive social communication development. Quantifying VSL in infants at familial risk (FR) for Autism Spectrum Disorder (ASD) provides opportunities understand how genetic predisposition can influence early processes which may, turn, lay foundation delays. We examined electroencephalography (EEG) signatures of 3-month-old infants,...
Mixed membership models, or partial are a flexible unsupervised learning method that allows each observation to belong multiple clusters. In this paper, we propose Bayesian mixed model for functional data. By using the multivariate Karhunen-Loève theorem, able derive scalable representation of Gaussian processes maintains data-driven covariance structure. Within framework, establish conditional posterior consistency given known feature allocation matrix. Compared previous work on our...