A5019403023- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Atrial Fibrillation Management and Outcomes
- Cardiac electrophysiology and arrhythmias
- Cardiac Arrhythmias and Treatments
- Epilepsy research and treatment
- Gender and Technology in Education
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Ferroelectric and Negative Capacitance Devices
- Education Systems and Policy
- Complex Systems and Time Series Analysis
- Human-Animal Interaction Studies
- COVID-19 and Mental Health
- Fractal and DNA sequence analysis
- Youth Substance Use and School Attendance
- Cardiac pacing and defibrillation studies
- Child Development and Digital Technology
- Neuroscience and Neuropharmacology Research
- Maternal Mental Health During Pregnancy and Postpartum
- Child and Adolescent Psychosocial and Emotional Development
- Parental Involvement in Education
- Sleep and Wakefulness Research
- Heart Failure Treatment and Management
- Mental Health Research Topics
University of California, Irvine
2020-2024
California State University, Long Beach
2024
Irvine University
2020-2023
Stanford University
2023
Emory University
2020
Favorable neurodevelopmental outcomes in epileptic spasms (ES) are tied to early diagnosis and prompt treatment, but uncertainty the identification of disease can delay this process. Therefore, we investigated five categories computational electroencephalographic (EEG) measures as markers ES.We measured 1) amplitude, 2) power spectra, 3) Shannon entropy permutation entropy, 4) long-range temporal correlations, via detrended fluctuation analysis (DFA) 5) functional connectivity using...
Previous studies reflect a high prevalence of depressive symptoms among Taiwanese adolescents (ages 13–18), but there is an absence literature related to the risk depression children in Taiwan 6–12), particularly potentially vulnerable subgroups. To provide insight into distribution rural and measure correlation between academic performance, we conducted survey 1655 randomly selected fourth fifth-grade students at 92 sample schools four relatively low-income counties or municipalities. Using...
In response to the COVID-19 epidemic, many education systems have relied on distance learning and educational technologies an unprecedented degree. However, rigorous empirical research impacts under these conditions is still scarce. We present first large-scale, quantitative evidence detailing how school closures affected in China. The data set includes households teachers of 4,360 rural urban primary students. find that although majority students engaged education, encountered difficulties...
During normal childhood development, functional brain networks evolve over time in parallel with changes neuronal oscillations. Previous studies have demonstrated differences network topology age, particularly neonates and cohorts spanning from birth to early adulthood. Here, we evaluate the developmental EEG connectivity a specific focus on first 2 years of life. Functional (FCNs) were calculated EEGs 240 healthy infants aged 0-2 during wakefulness sleep using cross-correlation-based...
Abstract Objective Identification of EEG waveforms is critical for diagnosing Lennox–Gastaut Syndrome (LGS) but complicated by the progressive nature disease. Here, we assess interrater reliability (IRR) among pediatric epileptologists classifying associated with LGS. Methods A novel automated algorithm was used to objectively identify epochs transient high power, which were termed events interest (EOIs). The applied from 20 LGS subjects and healthy controls during NREM sleep, 1350 EOIs...
The objective of the current study is to examine impact an in-school computer-assisted learning (CAL) intervention on math achievement rural students in Taiwan, including a marginalized subgroup called Xinzhumin, and factors associated with this impact. In order achieve this, we conducted cluster randomized controlled trial involving 1,840 fourth- fifth-grade at 95 schools four relatively poor counties municipalities Taiwan during spring semester 2019. While Intention-To-Treat (ITT) analysis...
People with schizophrenia often experience a profound lack of motivation for social affiliation-a facet negative symptoms that detrimentally impairs functioning. However, the mechanisms underlying affiliative deficits remain poorly understood, particularly under realistic contexts. Here, we investigated subjective reports and electroencephalography (EEG) functional connectivity in during live interaction. Individuals (n = 16) healthy controls 29) completed face-to-face interaction...
Background: Etripamil nasal spray (NS) is a fast acting, self-administered calcium channel blocker in development for the termination of AV-nodal-dependent supraventricular tachycardia (SVT). Prior randomized, placebo-controlled and open-label studies have demonstrated favorable safety efficacy etripamil converting paroxysmal (PSVT) to sinus rhythm (SR) without direct medical supervision. Research Question/Hypothesis: To assess patterns annualized PSVT episode frequency among patients opting...
The discovery and validation of electroencephalography (EEG) biomarkers often rely on visual identification waveforms. However, bias toward visually striking events restricts the search space for new biomarkers, low interrater reliability can limit rigorous validation. We present a data-driven approach to biomarker called scalp EEG Pattern Identification Categorization (s-EPIC), which enables automated, unsupervised S-EPIC is validated Lennox-Gastaut syndrome (LGS), an epilepsy that...
Abstract Objective Favorable neurodevelopmental outcomes in epileptic spasms (ES) are tied to early diagnosis and prompt treatment, but uncertainty the identification of disease can delay this process. Therefore, we investigated five computational electroencephalographic (EEG) measures as markers ES. Methods We measured 1) amplitude, 2) power spectra, 3) entropy, 4) long-range temporal correlations, via detrended fluctuation analysis (DFA) 5) functional connectivity EEG data from ES patients...
The infant brain is rapidly developing, and these changes are reflected in scalp electroencephalography (EEG) features, including power spectrum sleep spindle characteristics. These biomarkers not only mirror development, but they also altered by conditions such as epilepsy, autism, developmental delay, trisomy 21. Prior studies of early development were generally limited small cohort sizes, lack a specific focus on infancy (0-2 years), exclusive use visual marking for spindles. Therefore,...
Abstract Objective Functional connectivity networks (FCNs) based on interictal electroencephalography (EEG) can identify pathological brain associated with epilepsy. FCNs are altered by epileptiform discharges (IEDs), but it is unknown whether this due to the morphology of IED or underlying activity. Therefore, we characterized impact IEDs FCN through simulations and EEG analysis. Methods We introduced simulated sleep recordings eight healthy controls analyzed effect amplitude rate FCN. then...