- Autism Spectrum Disorder Research
- Functional Brain Connectivity Studies
- Advanced Neuroimaging Techniques and Applications
- Fetal and Pediatric Neurological Disorders
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Genetics and Neurodevelopmental Disorders
- Neonatal and fetal brain pathology
- Hearing Loss and Rehabilitation
- Neuroscience and Music Perception
- Laser-Matter Interactions and Applications
- Congenital heart defects research
- Optical Imaging and Spectroscopy Techniques
- Language Development and Disorders
- Insect-Plant Interactions and Control
- Advanced Thermodynamics and Statistical Mechanics
- Insect behavior and control techniques
- Assistive Technology in Communication and Mobility
- RNA regulation and disease
- Autoimmune Neurological Disorders and Treatments
- Plant and animal studies
- Neuroscience and Neuropharmacology Research
- Neural and Behavioral Psychology Studies
- Heart Rate Variability and Autonomic Control
Children's Hospital of Philadelphia
2019-2025
Imaging Center
2019-2025
University of Wisconsin–Madison
2020-2024
Abstract Age‐related changes in resting‐state (RS) neural rhythms typically developing children (TDC) but not with autism spectrum disorder (ASD) suggest that RS measures may be of clinical use ASD only for certain ages. The study examined this issue via assessing peak alpha frequency (PAF), a measure previous studies, have indicated as abnormal ASD. magnetoencephalographic (MEG) data were obtained from 141 TDC (6.13–17.70 years) and 204 (6.07–17.93 years). A source model 15 regional sources...
We and others have demonstrated the resting-state (RS) peak alpha frequency (PAF) as a potential clinical marker for young children with autism spectrum disorder (ASD), previous studies observing higher PAF in school-age ASD versus typically developing (TD) children, well an association between RS measures of processing speed TD but not ASD. The brain mechanisms associated these findings are unknown. A few found that more mature optic radiation white matter is PAF. Other reported neural...
The M50 and M100 auditory evoked responses reflect early processes in the primary/secondary cortex. Although previous studies have been conducted on individuals with autism spectrum disorder (ASD) indicate disruption of encoding simple sensory information, analogous investigations neural correlates processing through development from children into adults are very limited. Magnetoencephalography was used to record signals arising left right superior temporal gyrus during presentation tones...
Studies suggest that individuals with autism spectrum disorder (ASD) exhibit altered electrophysiological alpha to gamma phase-amplitude coupling (PAC). Preliminary reports small samples report conflicting findings regarding the directionality of PAC alterations in ASD. The present study examined resting-state activity throughout brain a relatively large sample 119 children ASD and 47 typically developing children. Children demonstrated regionally specific abnormalities low-gamma PAC,...
Executive function (EF) is essential to child development, with associated skills beginning emerge in the first few years of life and continuing develop into adolescence adulthood. The prefrontal cortex (PFC), which follows a neurodevelopmental timeline similar EF, plays an important role development EF. However, limited research has examined young children due limitations currently available neuroimaging techniques such as functional resonance magnetic imaging (fMRI). current study...
In a relaxed and awake state with the eyes closed, 8-12 Hz neural oscillations are dominant rhythm, most prominent in parietal-occipital regions. Resting-state (RS) alpha is associated processing speed also thought to be central how networks process information. Unfortunately, RS eyes-closed (EC) exam can only used individuals who remain their closed for an extended period. As such, infants, toddlers, intellectual disabilities usually excluded from studies. Previous research suggests...
47,XYY syndrome (XYY) is one of the common forms sex chromosome aneuploidy in males. XYY males tend to have tall stature, early speech, motor delays, social and behavioral challenges, a high rate language impairment. Recent studies indicate that 20–40% with meet diagnostic criteria for autism spectrum disorder (ASD; general population 1–2%). Although many examined neural correlates impairment ASD, few similar been conducted on individuals XYY. Studies using magnetoencephalography (MEG)...
Neuroimaging research on individuals who have autism spectrum disorder (ASD) has historically been limited primarily to those with age-appropriate cognitive and language performance. Children abilities are frequently excluded from such neuroscience given anticipated barriers like tolerating the loud sounds associated magnetic resonance imaging remaining still during data collection. To better understand brain function across full range of ASD there is a need (1) include performance in...
Functional brain markers that can inform research on abnormalities, and especially those ready to facilitate clinical work such will need show not only considerable sensitivity specificity but enough consistency with respect developmental course their validity in individual cases be trusted. A challenge establishing may differences course. The present study examined auditory cortex activity children at an age when changes the 50 ms (M50) 100 (M100) components are prominent better understand...
Autism spectrum disorder (ASD) is a complex neurodevelopmental condition. Understanding the brain's microstructure and its relationship to clinical characteristics important advance our understanding of neural supports underlying ASD. In current work, we implemented Gray-Matter Based Spatial Statistics (GBSS) examine characterize cortical assess differences between typically developing (TD) autistic males.
Several electrophysiological parameters, including the auditory evoked response component M50/M100 latencies and phase synchrony of transient steady state gamma-band oscillations have been implicated as atypical (to various extents) in autism spectrum disorder (ASD). Furthermore, some hypotheses suggest that an underlying neurobiological mechanism for these observations might be local circuit function indexed by levels inhibitory neurotransmitter, GABA. This study was a randomized,...
Background Autism spectrum disorder (ASD) is a neurodevelopmental condition commonly studied in the context of early childhood. As ASD life-long condition, understanding characteristics brain microstructure from adolescence into adulthood and associations to clinical features critical for improving outcomes across lifespan. In current work, we utilized Tract Based Spatial Statistics (TBSS) Gray Matter (GBSS) examine white matter (WM) gray (GM) neurotypical (NT) autistic males. Methods...
A three-dimensional convolutional neural network was trained to detect motion artifacts on a volume level for two pediatric diffusion MRI datasets acquired between 1 month and 3 years of age. Accuracies 95% 98% were achieved the datasets. Additionally, effects motion-corrupted volumes quantitative parameter estimation examined. Data processed without quality control with performed by network. DTI NODDI metrics calculated compared methods. Significant differences found both individual group results.
The brain’s cytoarchitecture undergoes highly dynamic morphological changes during early life that establish the structural and functional framework lays foundation for future cognitive behavioral skills. While differences in cortical organization are thought to subserve psychiatric challenges, little is known regarding life. For first time, we adapt NODDI-GBSS infant brain while keeping data its native diffusion space. We show feasibility skeletonization relationships with age across GM...
Motivation: Given known associations between maternal distress during pregnancy and increased risk of offspring to develop psychopathology, it is critical assess the influences prenatal depression & anxiety (pMDA) on infant brain organization. Goal(s): To investigate relationship pMDA GM organization differences in this male female infants. Approach: In study, we apply NODDI GM- Based Spatial Statistics framework adapted for with sex-related within relationship. Results: Our findings...
Motivation: Quantitative magnetic resonance imaging can provide novel insights into the brain’s tissue microstructure, however, such methods have limited availability at ultra-low field. Goal(s): To develop DESPOT1 approach Approach: We acquired spoiled gradient recalled echo images across multiple flip angles low field (64 mT) and fit signal to estimate T1 using framework. Results: While challenged by SNR field, our results demonstrate feasibility measure from angle images....
Motivation: Non-human primates are thought to develop 3-4 times faster than humans based on sexual maturity and death; however, there has been a lack of quantitative data support this ratio describe brain development. Goal(s): Our goal was find relationship between the rate white matter myelination in rhesus macaques humans. Approach: We compared rates change relaxometry MRI T1 values six ROIs for human infants. Results: found ranging from 4.7 6.2 ROIs, corresponding 4.7-6.2 Impact: By...
Advanced diffusion MRI techniques, such as Neurite Orientation Dispersion and Density Imaging (NODDI), may be used to improve characterization of gray matter (GM) white (WM) microstructure the brain. In this work, we Gray Matter Based Spatial Statistics Tract investigate cortical GM WM microstructural differences in individuals with autism spectrum disorder (ASD). Group age by group interaction models were assessed. We demonstrate wide-spread alterations ASD. Findings provide unique evidence...
Quantitative magnetic resonance imaging during the first years of life can provide novel insights into brain maturation, yet acquisition these data are limited by challenges in pediatric populations. Here, we assessed self-navigated, motion robust MPnRAGE technique to acquire high-resolution T1-weighted structural images and quantitative T1 relaxometry maps infants young children. Our results demonstrate ability utilize as a assess early development.