A5043092204- Olfactory and Sensory Function Studies
- Advanced Chemical Sensor Technologies
- Neurobiology and Insect Physiology Research
- Stress Responses and Cortisol
- Biochemical Analysis and Sensing Techniques
- Cardiac Health and Mental Health
- Functional Brain Connectivity Studies
- Neural dynamics and brain function
- Psychological Well-being and Life Satisfaction
- Heart Rate Variability and Autonomic Control
- Resilience and Mental Health
- Memory and Neural Mechanisms
- Epilepsy research and treatment
University of Pennsylvania
2021-2024
Stony Brook University
2010-2020
State University of New York
2012-2020
Studies in visual, auditory, and somatosensory cortices have revealed that different cell types as well neurons located laminae display distinct stimulus response profiles. The extent to which these layer type-specific distinctions generalize gustatory cortex (GC) remains unknown. In this study, we performed extracellular recordings adult female mice monitor the activity of putative pyramidal inhibitory deep superficial layers GC. Awake, head-restrained were trained lick tastants (sucrose,...
Background The piriform cortex has been implicated in the initiation, spread and termination of epileptic seizures. This understanding extended to surgical management epilepsy, where it shown that resection or ablation can result better outcomes. How why may play such a crucial role seizure networks is not well understood. To answer these questions, we investigated functional structural connectivity both healthy controls temporal lobe epilepsy (TLE) patients. Methods We studied retrospective...
The human olfactory system has two discrete channels of sensory input, arising from epithelia housed in the left and right nostrils. Here, we asked whether primary cortex (piriform cortex, PC) encodes odor information nostrils as integrated or distinct stimuli. We recorded intracranial EEG signals directly PC while subjects participated an identification task where odors were delivered to left, right, both analyzed time-course odor-identity coding using machine learning approaches, found...