A5038667076- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Advanced MRI Techniques and Applications
- Language Development and Disorders
- Neurobiology of Language and Bilingualism
- Natural Language Processing Techniques
- Neonatal and fetal brain pathology
- Fetal and Pediatric Neurological Disorders
- Reading and Literacy Development
- Syntax, Semantics, Linguistic Variation
- Health, Environment, Cognitive Aging
- Neurological disorders and treatments
- Hearing Impairment and Communication
- Meta-analysis and systematic reviews
- Hemispheric Asymmetry in Neuroscience
- Epilepsy research and treatment
- Advanced Neuroimaging Techniques and Applications
- Algorithms and Data Compression
- Cognitive Abilities and Testing
- Atomic and Subatomic Physics Research
- Explainable Artificial Intelligence (XAI)
- Scientific Computing and Data Management
- Cell Image Analysis Techniques
- Language and cultural evolution
Allen Institute for Brain Science
2024-2025
University of Minnesota
2021-2025
Georgetown University
2024-2025
Industrial Control Design (Norway)
2024
University of Minnesota System
2022
University of Washington
2016-2021
The human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized into functional networks. These networks show stronger internal weaker external connectivity (FC), with FC profiles more similar within the same network. Previous studies have shown these develop from nascent forms before birth to their mature, adult-like structures in childhood. However, analyses rely on adult network definitions. This study assesses...
Resting-state functional connectivity (rsFC) measured with fMRI has been used to characterize brain maturation in typically and atypically developing children adults. However, its reliability utility for predicting development infants toddlers is less well understood. Here, we use data from the Baby Connectome Project study measure uniqueness of rsFC predict age this sample (8-to-26 months old; n = 170). We observed medium within-session infant our sample, found that individual toddler’s...
The cerebral cortex comprises discrete cortical areas that form during development. Accurate area parcellation in neuroimaging studies enhances statistical power and comparability across studies. formation of is influenced by intrinsic embryonic patterning as well extrinsic inputs, particularly through postnatal exposure. Given the substantial changes brain volume, microstructure, functional connectivity first years life, we hypothesized 1-to-3-year-olds would exhibit major differences from...
The MacArthur-Bates Communicative Development Inventories (CDI) are widely used, parent-report instruments of language acquisition. Here, we focus on the word-inventory sections instruments, and show two different approaches to modeling CDI data, based real-world needs. First, that Words & Gestures data collected out-of-range can be robustly adjusted Sentences scores. Second, demonstrate a novel application Gompertz growth curves longitudinal especially when same timepoints were not...
Abstract The cerebral cortex consists of distinct areas that develop through intrinsic embryonic patterning and postnatal experiences. Accurate parcellation these in neuroimaging studies improves statistical power cross-study comparability. Given significant brain changes volume, microstructure, connectivity during early life, we hypothesized cortical 1- to 3-year-olds would differ markedly from neonates increasingly resemble adult patterns as development progresses. Here, parcellated the...
The contribution of this paper is to describe how we can program neuroimaging workflow using Make, a software development tool designed for describing build executables from source files. We show that achieve many the features more sophisticated pipeline systems, including reproducibility, parallelization, fault tolerance, and quality assurance reports. suggest Make represents large step towards these with only modest increase in programming demands over shell scripts. This approach reduces...
The importance of motion correction when processing resting state functional magnetic resonance imaging (rs-fMRI) data is well-established in adult cohorts. This includes adjustments based on self-limited, large amplitude subject head motion, as well factitious rhythmic induced by respiration. In adults, such respiration artifact can be effectively removed applying a notch filter to the trace, resulting higher amounts retained after frame censoring (e.g., "scrubbing") and more reliable...
The contribution of this paper is to identify and describe current best practices for using Amazon Web Services (AWS) execute neuroimaging workflows "in the cloud." Neuroimaging offers a vast set techniques by which interrogate structure function living brain. However, many scientists whom an extremely important tool have limited training in parallel computation. At same time, field experiencing surge computational demands, driven combination data-sharing efforts, improvements scanner...
Prior research suggests that the organization of language network in brain is left-dominant and becomes more lateralized with age increasing skill. The at which specific components become adult-like varies depending on abilities they subserve. So far, a large, developmental study has not included task paradigm, so we introduce method to resting-state laterality Adolescent Brain Cognitive Development (ABCD) study. Our approach mixes source timeseries between left right homotopes (1) inferior...
The MacArthur-Bates Communicative Development Inventories (CDI) are widely used, parent-report instruments of language acquisition. Here, we focus on the word-inventory sections instruments, and show two different approaches to modeling CDI data, based real-world needs. First, that Words & Gestures data collected out-of-range can be robustly adjusted Sentences scores. Second, demonstrate a novel application Gompertz growth curves longitudinal especially when same timepoints were not...
Abstract The human cerebral cortex contains groups of areas that support sensory, motor, cognitive, and affective functions, often categorized into functional networks. These networks show stronger internal weaker external connectivity (FC), with FC profiles more similar within the same network. Previous studies have shown these develop from nascent forms before birth to their mature, adult-like structures in childhood. However, analyses rely on adult network definitions. This study assesses...
Brain segmentation of infant magnetic resonance (MR) images is vitally important for studying typical and atypical brain development. The undergoes many changes throughout the first years postnatal life, making tissue difficult most existing algorithms. Here we introduce a deep neural network BIBSNet ( B aby I nfant rain S egmentation Neural Net work), an open-source, community-driven model robust generalizable leveraging data augmentation large sample size manually annotated images....
Both functional connectivity (FC) and blood oxygen level-dependent (BOLD) signal variability (SD
Abstract A critical question in the study of language development is to understand lexical and syntactic acquisition, which play different roles speech extent it would be natural surmise they are acquired differently. As measured through comprehension production closed-class words, ability emerges at roughly 400-word mark. However, a significant proportion developmental work uses coarse combination function content words on MacArthur-Bates Communicative Development Inventory (MB-CDI). Using...
Reproducibility of neuroimaging research on infant brain development remains limited due to highly variable protocols and processing approaches. Progress towards reproducible pipelines is by a lack benchmarks such as gold standard segmentations. Addressing this core limitation, we constructed the Baby Open Brains (BOBs) Repository, an open source resource comprising manually curated expert-reviewed Markers expert reviewers segmented anatomical MRI data from 71 imaging visits across 51...
<ns4:p>Here, we present unprocessed and preprocessed Attention Network Test data from 25 adults with Parkinson’s disease 21 healthy adults, along the associated defaced structural scans. The has been processed a provided Analysis of Functional NeuroImages <ns4:italic>afni_proc.py</ns4:italic> script includes scans that were skull-stripped before defacing. All acquired demographic neuropsychological are included.</ns4:p>
A critical question in the study of language development is to understand lexical and syntactic acquisition. Functional content words are acquired processed differently, demonstrated deaf acquisition electroencephalography work. As measured through comprehension production closed-class words, ability emerges at roughly 400-word mark. However, a significant proportion developmental work uses coarse combination functional on MacArthur-Bates Communicative Development Inventory (MCDI). Using...
Native speakers of English are differentially sensitive to morphologicallysimple and morphologically complex when both ungrammatical. A largerP600 is elicited by sentences like *“The dogs must running” than dog isrun.” This taken mean that native have an easier time processingthe second condition, either because the base form verb underspecifiedfor a number featural specifications, or predictions in “be”contexts weaker modal conditions. We find L1speakers Mandarin who speak as language show...