- Neuroendocrine regulation and behavior
- Receptor Mechanisms and Signaling
- Evolutionary Psychology and Human Behavior
- Topic Modeling
- Neuropeptides and Animal Physiology
- Neurological disorders and treatments
- Expert finding and Q&A systems
- Circadian rhythm and melatonin
- Botulinum Toxin and Related Neurological Disorders
- Cardiovascular, Neuropeptides, and Oxidative Stress Research
- Parkinson's Disease Mechanisms and Treatments
- Cell Image Analysis Techniques
- Neuroscience and Neuropharmacology Research
- Context-Aware Activity Recognition Systems
- Attachment and Relationship Dynamics
- Cellular Mechanics and Interactions
- Neurobiology and Insect Physiology Research
- Information Retrieval and Search Behavior
- Advanced Fluorescence Microscopy Techniques
- Human-Animal Interaction Studies
- Balance, Gait, and Falls Prevention
- Literature Analysis and Criticism
- Neuroscience and Neural Engineering
- Library Science and Administration
- Regulation of Appetite and Obesity
Emory University
2022-2024
National Institutes of Health
2019-2022
National Institute of Environmental Health Sciences
2019-2022
United States Department of Health and Human Services
2019
Abstract Understanding the function of broadly projecting neurons depends on comprehensive knowledge distribution and targets their axon collaterals. While retrograde tracers and, more recently, viral vectors have been used to identify efferent projections, they limited ability reveal full pattern collaterals from complex, heterogeneous neuronal populations. Here we describe TrAC (tracing collaterals), an intersectional recombinase-based viral-genetic strategy that allows simultaneous...
Recent data demonstrate that noradrenergic neurons of the locus coeruleus (LC-NE) are required for fear-induced suppression feeding, but role endogenous LC-NE activity in natural, homeostatic feeding remains unclear. Here, we found was suppressed during food consumption, and magnitude this neural response attenuated as mice consumed more pellets throughout session, suggesting LC responses to modulated by satiety state. Visual-evoked also sated mice, state modulates encoding multiple...
Abstract Recent data suggest that LC-NE neurons play a role in fear-induced suppression of feeding, but their endogenous activity naturally behaving animals has not been explored. We found was enhanced during food approach and suppressed consumption, these food-evoked responses were attenuated sated mice. Interestingly, visual-evoked also mice, demonstrating internal satiety state modulates encoding multiple behavioral states. intake could be by brief or longer durations activation. Lastly,...
<sec> <title>BACKGROUND</title> The increasing use of social media to share lived and living experiences substance presents a unique opportunity obtain information on side-effects, usage patterns, opinions novel psychoactive substances (NPS). However, due the large volume data, obtaining useful insights through natural language processing (NLP) technologies such as models (LLMs) is challenging. </sec> <title>OBJECTIVE</title> To develop retrieval-augmented generation (RAG) architecture for...
Visualization and quantification of fluorescently labeled axonal fibers are widely employed in studies neuronal connectivity the brain. However, accurate analysis axon density is often confounded by autofluorescence other fluorescent artifacts. By time these problems detected tissue sections, significant resources have been invested, may not be easy to replace. In response difficulties, we developed DEFiNE (Digital Enhancement Fibers with Noise Elimination), a method for eliminating...
Several studies using mice have examined the effects of aging on cognitive tasks, as well sensory and motor functions. However, few influence social behavior. Prairie voles (Microtus ochrogaster) are a socially monogamous biparental rodent that live in small family groups now among most popular models for examining Although behavioral trajectories early-life development prairie been well-studied, how behavior may change throughout adulthood remains unknown. Here we virgin male female four...
ABSTRACT Accumulating evidence indicates that disruption of galanin signaling is associated with neuropsychiatric disease, but the precise functions this neuropeptide remain largely unresolved due to lack tools for experimentally disrupting its transmission in a cell type-specific manner. To examine function noradrenergic system, we generated and crossed two novel knock-in mouse lines create animals lacking specifically neurons ( Gal cKO-Dbh ). We observed reduced levels peptide pons,...
Abstract Tremor, defined as an “involuntary, rhythmic, oscillatory movement of a body part,” is key feature many neurological conditions, but still clinically assessed by visual observation. Methodologies for objectively quantifying tremor are promising remain non-standardized across centers. Our center performs full-body behavioral testing with 3D motion capture clinical and research purposes patients Parkinson’s disease, essential tremor, other conditions. The objective this study was to...
The increasing use of social media to share lived and living experiences substance presents a unique opportunity obtain information on side effects, patterns, opinions novel psychoactive substances. However, due the large volume data, obtaining useful insights through natural language processing technologies such as models is challenging. This paper aims develop retrieval-augmented generation (RAG) architecture for medical question answering pertaining clinicians' queries emerging issues...
Tremor, defined as an "involuntary, rhythmic, oscillatory movement of a body part", is key feature many neurological conditions including Parkinson's disease and essential tremor. Clinical assessment continues to be performed by visual observation with quantification on clinical scales. Methodologies for objectively quantifying tremor are promising but remain non-standardized across centers. Our center performs full-body behavioral testing 3D motion capture research purposes in patients...
The increasing use of social media to share lived and living experiences substance presents a unique opportunity obtain information on side effects, patterns, opinions novel psychoactive substances. However, due the large volume data, obtaining useful insights through natural language processing technologies such as models is challenging. This paper aims develop retrieval-augmented generation (RAG) architecture for medical question answering pertaining clinicians' queries emerging issues...