A5060253154- Functional Brain Connectivity Studies
- Transcranial Magnetic Stimulation Studies
- Advanced MRI Techniques and Applications
- Scientific Computing and Data Management
- Visual perception and processing mechanisms
- Neural and Behavioral Psychology Studies
- Software Engineering Techniques and Practices
- Neural dynamics and brain function
- Advanced Neuroimaging Techniques and Applications
- Optical Imaging and Spectroscopy Techniques
- Precipitation Measurement and Analysis
- Circadian rhythm and melatonin
- Software Testing and Debugging Techniques
- EEG and Brain-Computer Interfaces
- Research Data Management Practices
- Pain Management and Treatment
- Open Source Software Innovations
- Atmospheric aerosols and clouds
- Systems Engineering Methodologies and Applications
- Cell Image Analysis Techniques
- Advanced Combustion Engine Technologies
- MRI in cancer diagnosis
- Electroconvulsive Therapy Studies
- Hydrology and Drought Analysis
- Machine Learning in Materials Science
National Institute of Mental Health
2021-2024
National Institutes of Health
2021-2024
Sandia National Laboratories
2022-2024
Medical University of South Carolina
2019-2023
College of Charleston
2014-2015
Functional magnetic resonance imaging (fMRI) is a popular method for in vivo neuroimaging.Modern fMRI sequences are often weighted towards the blood oxygen level dependent (BOLD) signal, which closely linked to neuronal activity (Logothetis, 2002).This weighting achieved by tuning several parameters increase BOLD-weighted signal contrast.One such parameter "TE," or echo time.TE amount of time elapsed between when protons excited (the MRI source) and measured.Although total measured magnitude...
Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation modality that can treat depression, obsessive-compulsive disorder, or help smoking cessation. Research suggests timing the delivery of TMS relative to an endogenous brain state may affect efficacy and short-term dynamics.
Designing and executing a good quality control (QC) process is vital to robust reproducible science often taught through hands on training. As FMRI research trends toward studies with larger sample sizes highly automated processing pipelines, the people who analyze data are distinct from those collect preprocess data. While there reasons for this trend, it also means that important information about how were acquired, their quality, may be missed by working at later stages of these...
The use of point detectors to measure properties rainfall is ubiquitous in the hydrological sciences. An early step most analysis includes partitioning data record into “rain events.” This work utilizes from a dense network optical disdrometers explore effects instrument sampling on this partitioning. It shown that variability may result event identifications can statistically magnify differences between two similar records. presented here suggest these magnification are not equally...
ABSTRACT PyDesigner is an open-source and containerized Python software package, adapted from the DESIGNER pipeline, for diffusion weighted magnetic resonance imaging preprocessing tensor estimation. combines tools FSL MRtrix3 to reduce effects of signal noise artifacts on multiple measures that can be derived kurtosis tensors. This publication describes main features highlights its ease use across platforms, while examining accuracy robustness in deriving commonly used metrics.
Abstract Afterimages are illusory, visual conscious perceptions. A widely accepted theory is that afterimages caused by retinal signaling continues after the physical disappearance of a light stimulus. However, have been reported without preceding visual, sensory stimulation (e.g. conditioned and induced illusory vision). These observations suggest role top-down brain mechanisms in afterimage perception. Therefore, some may share perceptual features with sensory-independent perceptions...
Pupillometry is a popular method because pupil size easily measured and sensitive to central neural activity linked behavior, cognition, emotion, perception. Currently, there no for online monitoring phases of fluctuation. We introduce rtPupilPhase-an open-source software that automatically detects trends in real time. This tool enables novel applications real-time pupillometry achieving numerous research translational goals. validated the performance rtPupilPhase on human, rodent, monkey...
Depression is a serious mental illness that frequently resistant to first round of pharmacotherapy. Electroconvulsive therapy (ECT) effective even for such treatment depression but associated with significant adverse effects. Repetitive transcranial magnetic stimulation (rTMS) over the left dorsolateral prefrontal cortex in comparison causes only mild discomfort less than ECT. We hypothesize TMS efficacy could be improved by locking onset specific, potentially subject specific phase alpha...
US national research laboratories and agencies play an integral role in advancing science technology for the public good. The authors of this article, as Research Software Engineers (RSEs) allies from eight unique organizations, came together to explore RSE needs perspective development institutions. We identified three key areas improvement future RSEs pursue interest: community establishment, hiring retention, recognition. To retain cultivate essential talent, institutions must evolve...
Abstract Introduction: Concurrent TMS-fMRI studies have established the propagation of TMS-induced activity from left dorsolateral prefrontal cortex (left-DLPFC) to various afferents. However, state-dependent effect TMS pathways is less understood. Here, we used concurrent TMS-EEG-fMRI investigate dependency on brain-state (indexed via EEG alpha phase). Methods: EEG-fMRI data were acquired twenty-six major depression patients inside a Siemens 3T Prisma scanner. Single-pulse was delivered...
ABSTRACT BACKGROUND The communication through coherence model posits that brain rhythms are synchronized across different frequency bands and effective connectivity strength between interacting regions depends on their phase relation. Evidence to support the comes mostly from electrophysiological recordings in animals while evidence human data is limited. METHODS Here, an fMRI-EEG-TMS (fET) instrument capable of acquiring simultaneous fMRI EEG during noninvasive single pulse TMS applied...
Abstract Pupillometry is a popular method because pupil size easily measured, sensitive to central neural activity, and associated with behavior, cognition, emotion, perception. Currently, there no for online monitoring phases of fluctuation. We introduce rtPupilPhase – an open source software that automatically detects trends in real time, enabling novel implementations time pupillometry towards achieving numerous research translational goals. validated the performance on human, rodent,...
Abstract Repetitive transcranial magnetic stimulation (rTMS) has been shown to be an effective treatment for major depressive disorder (MDD). Although considerable clinical data have supported its efficacy, exact mechanism of action and optimal combination parameters remains unclear. Recent research suggests that the delivery rTMS causes long-term inhibition excitation neurons in varied brain areas. Additionally, interest steadily grown using neurophysiologic measures cortical excitability...
Afterimages are illusory, visual conscious perceptions. A widely accepted theory is that afterimages caused by retinal signaling continues after the physical disappearance of a light stimulus. However, have been reported without preceding visual, sensory stimulation (e.g., conditioned and induced illusory vision). These observations suggest role top-down, brain mechanisms in afterimage perception. Therefore, some may share perceptual features with sensory-independent perceptions imagery,...
Evidence-based practice (EBP) in software engineering aims to improve decision-making development by complementing practitioners' professional judgment with high-quality evidence from research. We believe the use of EBP techniques may be helpful for research engineers (RSEs) their work bring best practices scientific development. In this study, we present an experience report on a particular technique, rapid reviews, within RSE team at Sandia National Laboratories, and practical...
Those seeking to reproduce a computational experiment often need manually look at the code see how build necessary libraries, configure parameters, find data, and invoke experiment; it is not automatic. Automatic reproducibility more stringent goal, but working towards would benefit community. This work discusses machine-readable language for specifying execute experiment. We invite interested stakeholders discuss this https://github.com/charmoniumQ/execution-description .