A5048773938- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
- Child and Adolescent Psychosocial and Emotional Development
- Early Childhood Education and Development
- Maternal Mental Health During Pregnancy and Postpartum
- Infant Development and Preterm Care
- Phonetics and Phonology Research
- Dental Health and Care Utilization
- Culinary Culture and Tourism
- ECG Monitoring and Analysis
- Child Abuse and Trauma
- Energy Harvesting in Wireless Networks
- Retinal Development and Disorders
- Neurobiology of Language and Bilingualism
- Reading and Literacy Development
- Healthcare Policy and Management
- Neuroscience and Music Perception
- EU Law and Policy Analysis
- Rough Sets and Fuzzy Logic
- Data Management and Algorithms
- Neuroendocrine regulation and behavior
- Adolescent and Pediatric Healthcare
- Blind Source Separation Techniques
University of Iowa
2024-2025
University of Maryland, College Park
2019-2024
University Children's Hospital Zurich
2024
Iowa State University
2021
North Dakota State University
2018
Compared to adult EEG, EEG signals recorded from pediatric populations have shorter recording periods and contain more artifact contamination. Therefore, data necessitate specific preprocessing approaches in order remove environmental noise physiological artifacts without losing large amounts of data. However, there is presently a scarcity standard automated pipelines suitable for EEG. In an effort achieve greater standardization preprocessing, particular, the analysis data, we developed...
A major challenge for electroencephalograph (EEG) studies on pediatric populations is that large amounts of data are lost due to artifacts (e.g., movement and blinks). Independent component analysis (ICA) can separate artifactual neural activity, allowing researchers remove such activity retain a greater percentage EEG analyses. However, manual identification components time-consuming requires subjective judgment. Automated algorithms, like ADJUST ICLabel, have been validated adults, but our...
Abstract Prenatal maternal internalizing psychopathology (depression and anxiety) socioeconomic status (SES) have been independently associated with higher risk for externalizing problems in children. However, the pathways behind these associations are not well understood. Numerous studies linked greater right frontal alpha asymmetry to problems; however, findings mixed. Several also children's asymmetry. Additionally, emerging SES To date, only a limited number of examined within...
Abstract Inhibitory control plays an important role in children’s cognitive and socioemotional development, including their psychopathology. It has been established that contextual factors such as socioeconomic status (SES) parents’ psychopathology are associated with inhibitory control. However, the relations between neural correlates of have rarely examined longitudinal studies. In present study, we used both event-related potential (ERP) components time-frequency measures to evaluate...
Adaptive behavior requires integrating multiple sources of information, yet neural and computational mechanisms underlying this process are poorly understood. We introduce a novel Bayesian framework elucidating how internally maintained externally cued information integrated to guide goal-directed actions. Our model infers trial-by-trial beliefs for inputs integrates them into joint probability distribution, where entropy quantifies overall uncertainty. This representation predicts...
The last decade has seen increased availability of mobile electroencephalography (EEG). These systems enable researchers to conduct data collection "in-context," reducing participant burden and potentially increasing diversity representation research samples. Our team completed in-home from more than 400 twelve-month-old infants low-income backgrounds using a EEG system. In this paper, we provide methodological analytic guidance for collecting high-quality, in infants. Specifically, offer...
Abstract Error monitoring allows individuals to monitor and adapt their behavior by detecting errors. is thought develop throughout childhood adolescence. However, most of this evidence comes from studies in late adolescence utilizing event‐related potentials (ERPs). The current study utilizes time–frequency (TF) connectivity analyses provide a comprehensive examination age‐related changes error‐monitoring processes across early ( N = 326; 50.9% females; 4–9 years). ERP indicated the...
A large body of research has established a relation between maternal education and children's neurocognitive functions, such as executive function language. However, most studies have focused on early childhood relatively few examined associations with changes in over time. Consequently, it remains unclear if is longitudinally related to functions children, adolescents, young adults. In addition, the across development more broadly defined outcomes remain untested. The current study...
EEG methods offer a promising approach to study the development of attention or attention-related processes such as change-detection and attentional capture. However, these from early middle childhood is not well understood. In current study, we utilized passive three-stimulus oddball paradigm examine age-related changes in auditory capture large sample children across (N = 475; 249 female, 226 male; M
Abstract This study is the first to examine spectrum‐wide (1 250 Hz) differences in electroencephalogram (EEG) power between eyes open (EO) and closed (EC) resting state conditions 486 children. The results extend findings of previous studies by characterizing EEG from 30 Hz EO EC across childhood. Developmental changes showed spatial frequency band as a function age EO/EC condition. A 64‐electrode system was used record at 4, 5, 7, 9, 11 years age. Specific were: (1) alpha peak shifts 8 4 9...
Abstract Compared to adult EEG, EEG signals recorded from pediatric populations have shorter recording periods and contain more artifact contamination. Therefore, data necessitate specific preprocessing approaches in order remove environmental noise physiological artifacts without losing large amounts of data. However, there is presently a scarcity standard automated pipelines suitable for EEG. In an effort achieve greater standardization preprocessing, particular the analysis data, we...
Cognitive flexibility relies on hierarchically structured task representations that organize contexts, relevant environmental features, and subordinate decisions. Despite ongoing interest in the human thalamus, its role cognitive control has been understudied. This study explored thalamic representation thalamocortical interactions contribute to hierarchical humans. We found several nuclei, including anterior, mediodorsal, ventrolateral, pulvinar exhibited stronger evoked responses when...
Cognitive flexibility relies on hierarchically structured task representations that organize contexts, relevant environmental features, and subordinate decisions. Despite ongoing interest in the human thalamus, its role cognitive control has been understudied. This study explored thalamic representation thalamocortical interactions contribute to hierarchical humans. We found several nuclei, including anterior, mediodorsal, ventrolateral, pulvinar exhibited stronger evoked responses when...
Error monitoring allows individuals to monitor and adapt their behavior by detecting errors. is thought develop throughout childhood adolescence. However, most of this evidence comes from studies in late adolescence utilizing ERPs. The current study utilizes time-frequency (TF) connectivity analyses provide a comprehensive examination age-related changes error processes across early (N=326; 50.9% females; 4-9 years). ERP indicated the presence error-related negativity (ERN) positivity (Pe)...
Abstract Low-density Electroencephalography (EEG) recordings (e.g. fewer than 32 electrodes) are widely-used in research and clinical practice enable scalable brain function measurement across a variety of settings populations. Though number automated pipelines have recently been proposed to standardize optimize EEG preprocessing for high-density systems with state-of-the-art methods, few solutions emerged that compatible low-density systems. However, data often include long recording times...
The last decade has seen increased availability of mobile electroencephalography (EEG). These systems enable researchers to conduct data collection “in-context,” reducing participant burden and potentially increasing diversity representation research samples. Our team completed in-home from more than 400 12-month-old infants low-income backgrounds using a EEG system. In this manuscript, we provide methodological analytic guidance for the high-quality, in infants. Specifically, insights...
Abstract A major challenge for electroencephalograph (EEG) studies on pediatric populations is that large amounts of data are lost due to artifacts (e.g., movement and blinks). Independent component analysis (ICA) can separate artifactual neural activity, allowing researchers remove such activity retain a greater percentage EEG analyses. However, manual identification components time consuming requires subjective judgment. Automated algorithms, like ADJUST ICLabel, have been validated adults...
Words that can be used as both noun and verb create regions of syntactic ambiguity could processing challenges for listeners. However, acoustic properties, such duration, differ between uses words, listeners may use these differences to facilitate processing. In this study, we replaced ambiguous words with determine whether manipulations affected the N400 event-related potential, which is associated semantic violations, or P600 component, ambiguity. The results suggest noun/verb polysemes...