Prof. LindaChao | cognitive neuroscience | Best Researcher Award

Prof. LindaChao | cognitive neuroscience | Best Researcher Award 🏆

Professor/Research Career Scientist at UCSF/San Francisco VA Health Care System🎓

Dr. Linda L. Chao is a highly respected neuroscientist whose journey began with a B.S. in Biological Sciences and a Ph.D. in Neuroscience from UC Davis. Following her postdoctoral training as a Cognitive Neuroscience Fellow at the National Institute of Mental Health, Dr. Chao joined UCSF, where she is now a Professor in Radiology, Psychiatry, and Behavioral Sciences. She also contributes significantly to veteran health research at the San Francisco VA Medical Center. Renowned for her expertise in cognitive neuroscience and neuroimaging, Dr. Chao employs advanced MRI, PET, and fMRI techniques to study neurodegenerative diseases, Gulf War Illness, and PTSD. Her groundbreaking work in non-pharmacological therapies for Alzheimer’s and trauma-related conditions has earned her prestigious awards, including the UC Davis Graduate Research Award and the NIMH Fellows Award for Research Excellence. As an active member of key neuroscience organizations and a dedicated mentor, Dr. Chao is a vital figure in advancing mental health research and neuroimaging innovations.

Professional Profile 

Education 🎓:

Dr. Linda L. Chao earned her B.S. in Biological Sciences (1987-1991) and a Ph.D. in Neuroscience (1991-1996) from the University of California, Davis. Her dedication to understanding the brain and its functions began here, paving the way for her groundbreaking work in neuroscience and cognitive research.

 

Work Experience 💼:

Dr. Chao’s career reflects a strong commitment to advancing mental health research. Her postdoctoral training took place at the National Institute of Mental Health (NIMH) as a Cognitive Neuroscience Fellow (1996-2000). She joined the University of California, San Francisco (UCSF) as an Assistant Professor in Radiology and Psychiatry in 2001, advancing to Associate Professor and later Professor in the departments of Radiology & Biomedical Imaging, Psychiatry, and Behavioral Sciences. She also holds a significant role with the San Francisco VA Medical Center, where she contributes to research safety and promotes veteran health.

 

Skills 🔍

Dr. Chao is highly skilled in cognitive neuroscience, neuroimaging, and radiology. She has expertise in analyzing brain health through MRI, PET, and fMRI imaging techniques. Her experience extends to research safety, clinical trials, and therapeutic interventions for neurodegenerative diseases and Gulf War Illness. Her innovative skills in cognitive and neuroimaging research support her work in developing non-pharmacological interventions for conditions like PTSD and Alzheimer’s.

 

Awards and Honors 🏆

Dr. Chao’s research excellence is recognized with numerous awards, including the University of California, Davis Graduate Research Award (1994) and the Fellows Award for Research Excellence from the National Institute of Mental Health (1999). These honors underscore her significant contributions to cognitive neuroscience and clinical research.

 

🤝 Memberships:

Dr. Chao is actively involved in multiple professional organizations, including the Society for Neuroscience (SFN), Cognitive Neuroscience Society (CNS), and the International Society to Advance Alzheimer’s Research and Treatment (ISAART). Her memberships reflect her dedication to staying at the forefront of neuroscience, cognitive health, and clinical research.

Teaching Experience 👩‍🏫:

With a passion for mentoring, Dr. Chao has taught at UCSF’s School of Medicine, facilitating courses on brain, mind, and behavior. She has lectured on clinical fMRI applications and led seminars on neuroimaging. Her role as a mentor has influenced many students and researchers in radiology, psychology, and psychiatry, shaping the future of neuroscience.

 

Research Focus 🔬:

Dr. Chao’s research primarily explores cognitive function, neurodegenerative diseases, and neuroimaging in veterans. Her work on Gulf War Illness and the effects of sarin exposure highlights her commitment to understanding trauma impacts on the brain. Additionally, she investigates photobiomodulation therapies, non-pharmacological dementia treatments, and PTSD interventions. Her recent studies reveal the complex interactions between genetic factors and environmental exposures affecting brain health.

Conclusion 

Dr. Linda L. Chao is a deserving candidate for the Best Researcher Award. Her remarkable contributions to cognitive neuroscience, dedication to mentoring, and commitment to understanding the brain’s response to trauma and neurotoxic exposure make her a vital asset to the field. With her current momentum and slight expansion in her research’s reach and collaboration, Dr. Chao is well-positioned to continue making substantial, globally impactful advancements in neuroscience.

📚 Publilcation 

  • Topic: Implementing a new multidisciplinary, remote, dementia staff training program for Veterans Affairs nursing homes
    • Year: 2024
    • Journal: BMC Health Services Research
  • Topic: Olfactory and cognitive decrements in 1991 Gulf War veterans with Gulf War illness/chronic multisymptom illness
    • Year: 2024
    • Journal: Environmental Health: A Global Access Science Source
  • Topic: Current health status of Gulf War deployed and Gulf War era veterans who use Veterans Affairs health care
    • Year: 2024
    • Journal: Journal of Women’s Health
  • Topic: PON1 status in relation to Gulf War Illness: Evidence of gene–exposure interactions from a multisite case–control study of 1990–1991 Gulf War veterans
    • Year: 2024
    • Journal: International Journal of Environmental Research and Public Health
  • Topic: Gulf War illness is associated with host gut microbiome dysbiosis and is linked to altered species abundance in veterans from the BBRAIN cohort
    • Year: 2024
    • Journal: International Journal of Environmental Research and Public Health
  • Topic: Livestream, group movement program for people living with cognitive impairment and care partners: A randomized clinical trial
    • Year: 2024
    • Journal: Alzheimer’s and Dementia: Translational Research and Clinical Interventions
  • Topic: Characterizing 1991 Gulf War women veterans from the Boston Biorepository and Integrative Network for Gulf War Illness: Demographics, exposures, neuroimaging, and cognitive outcomes
    • Year: 2024
    • Journal: Clinical Neuropsychologist
  • Topic: Cognitive decrements in 1991 Gulf War veterans: Associations with Gulf War illness and neurotoxicant exposures in the Boston Biorepository, Recruitment, and Integrative Network (BBRAIN) cohorts
    • Year: 2023
    • Journal: Environmental Health: A Global Access Science Source

 

Mark Myers | Neuroscience | Excellence in Research

Dr Mark Myers | Neuroscience | Excellence in Research

Professor  at University of Tennessee Health Science Center, United States

Mark H. Myers, Ph.D. is a distinguished professional in the fields of computer science, biomedical engineering, and computational neurodynamics. He is currently an Assistant Professor in the Department of Anatomy and Neurobiology at the University of Tennessee Health Science Center (UTHSC), a position he has held since 2014, and serves as an Adjunct Professor in the Mathematics/Computer Science Department at Christian Brothers University since 2020.

Profile:

scopus

Education:

🎓 Ph.D. in Computer Science – University of Memphis (2005-2011) 🧠 Dissertation: Simulation of Abnormal/Normal Brain States Using the KIV Model 🎓 M.Sc. in Biomedical Engineering – University of Memphis 🧩 Thesis: Vagus Nerve Implant Simulator for Seizure Prediction and Treatment 🎓 M.Sc. in Computer Science – University of Memphis (2004-2005) 🧪 Thesis: Optimization of EEG Analysis for Cognitive Phase Transitions 🎓 B.Sc. in Physics, Minor in Math – University of Alabama

Professional Experience:

🔬 Assistant Professor – University of Tennessee Health Science Center, College of Medicine (2014-present) 🖥️ Adjunct Professor – Christian Brothers University, Mathematics/Computer Science Department (2020-present) 📊 Sr. Data Science Architect Consultant – Cognosante, LLC for Veteran’s Administration (2020-2021) 💼 CTO/CEO – NeuroDyne, Inc (2017-present) 🔬 Director, Center for Biomedical Informatics – UTHSC, College of Medicine (2015-2016) 🔬 Assistant Professor, Ophthalmology – UTHSC, College of Medicine (2012-2015) 👨‍🏫 Adjunct Professor, Computer Science – University of Memphis (2012-2015) 🔬 Research Assistant – Computational Neurodynamics Lab, University of Memphis (2004-2012) ⚓ Sr. R&D Software Engineer Consultant – U.S. Navy-Department of Defense Contractor (2009-2011) 📦 Senior Enterprise Architect – FedEx Express (2006-2009)

Associations: 🧠 Guest Editor and Topic Editor – Frontiers in Neuroscience, Brain Sciences 🧠 Review Editor – Frontiers in Computational Neuroscience 🧬 Member – Society for Neuroscience, International Neural Network Society, The Association of Research in Vision and Ophthalmology

Teaching Experience:

👨‍🏫 Adjunct Professor – Christian Brothers University Courses: Neural Networks, Operating Systems, C Programming, Introduction to AI 👨‍🏫 Assistant Professor – UTHSC Courses: Neuroanatomy Lab 👨‍🏫 Adjunct Professor – University of Memphis Courses: Java Network Programming, Control Theory/Systems Neuroscience 👨‍🏫 Adjunct Professor – Rhodes College Courses: Physics I, Physics II

Research  Focus   :

Dr. Mark H. Myers’ neuroscience research is centered around several key areas:

Seizure Prediction and Detection:Development of Algorithms: Dr. Myers has developed advanced algorithms for the prediction and detection of seizures, with a focus on non-invasive techniques using EEG data.Ambulatory Monitoring: His patented work on ambulatory seizure monitoring systems aims to provide real-time detection and management of seizures, improving patient outcomes.

Brain-State Simulation:KIV Model: His Ph.D. dissertation involved the simulation of abnormal and normal brain states using the KIV model, contributing to the understanding of various neurological conditions.

EEG Analysis and Cognitive Phase Transitions:EEG Optimization: Dr. Myers’ research includes optimizing EEG analysis to detect cognitive phase transitions, enhancing the ability to monitor and interpret brain activity during different cognitive states.

Neurodynamic Modeling:Mesoscopic Modeling: He has worked on modeling neuron population dynamics to study brain disorders such as epilepsy, providing insights into the neural mechanisms underlying these conditions.

Neural Interfaces and Vagus Nerve Stimulation:Vagus Nerve Research: His master’s thesis on a vagus nerve implant simulator aimed at predicting and treating seizures showcases his interest in neural interfaces and their therapeutic potential.

Traumatic Brain Injury (TBI):Visual Evoked Potentials: Recent research by Dr. Myers investigates the effects of mild traumatic brain injuries on visual pathways, providing valuable data on the impact of TBI on cognitive functions.

Multisensory Integration:Audiovisual Processing: His studies on multisensory integration, particularly in patients with inherited retinal dystrophies, explore how the brain processes and integrates information from different sensory modalities.

Collaborative Research:NSF and DOD Grants: Dr. Myers has led and contributed to numerous research projects funded by the National Science Foundation and the Department of Defense, focusing on brain-computer interfaces, cognitive modeling, and autonomous systems.

Citations:

📚Citations: 179

📄 Documents: 173

📊h-index: 8

Publication Top Notes:

  1. Auditory and olfactory findings in patients with USH2A-related retinal degeneration—Findings at baseline from the rate of progression in USH2A-related retinal degeneration natural history study (RUSH2A)
    Authors: Iannaccone, A., Brewer, C.C., Cheng, P., … Stingl, K., Zein, W.M.
    Journal: American Journal of Medical Genetics, Part A, 2021, 185(12), pp. 3717–3727
  2. Automatic detection of a student’s affective states for intelligent teaching systems
    Author: Myers, M.H.
    Journal: Brain Sciences, 2021, 11(3), pp. 1–15, 331
  3. Seizure localization using EEG analytical signals
    Authors: Myers, M.H., Padmanabha, A., Bidelman, G.M., Wheless, J.W.
    Journal: Clinical Neurophysiology, 2020, 131(9), pp. 2131–2139
  4. Frontal cortex selectively overrides auditory processing to bias perception for looming sonic motion
    Authors: Bidelman, G.M., Myers, M.H.
    Journal: Brain Research, 2020, 1726, 146507
  5. Mesoscopic neuron population modeling of normal/epileptic brain dynamics
    Authors: Myers, M.H., Kozma, R.
    Journal: Cognitive Neurodynamics, 2018, 12(2), pp. 211–223
  6. A pilot investigation of audiovisual processing and multisensory integration in patients with inherited retinal dystrophies
    Authors: Myers, M.H., Iannaccone, A., Bidelman, G.M.
    Journal: BMC Ophthalmology, 2017, 17(1), pp. 240