Mark Zinn

From MEpedia, a crowd-sourced encyclopedia of ME and CFS science and history
Source:LinkedIn

Mark Alan Zinn, PhD, is a specialist in autonomic neuroscience, conducting ME/CFS studies with his wife, Marcie Zinn, PhD, in their nonprofit entity, the NeuroCognitive Research Institute.[1] Mark was part of the Chronic Fatigue Syndrome Initiative at Stanford between 2011 and 2014, working with Dr. Jose Montoya. Mark continues to collaborate with the ME/CFS Initiative at Stanford Medicine.

Education[edit | edit source]

  • 1993, Bachelor's degree, Piano Performance, University of Southern California
  • 1996, Master's degree, Piano Performance from Northern Illinois University[1]
  • 1999, Performance's Certificate, Piano Performance from Northern Illinois University[1]
  • 2019, Ph.D. from De Paul University[2]

Advocacy[edit | edit source]

Notable studies[edit | edit source]

  • 2014, Cortical hypoactivation during resting eLORETA suggests central nervous system pathology in patients with chronic fatigue syndrome (Conference paper, 2014 Stanford Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome Symposium: Advances in Clinical Care and Translational Research for health care providers, At Stanford School of Medicine, Palo Alto, CA[4] - (Abstract)
  • 2015, Myalgic Encephalomyelitis: Symptoms and Biomarkers[5] - (Full Text)
  • 2016, Intrinsic Functional Hypoconnectivity in Core Neurocognitive Networks Suggests Central Nervous System Pathology in Patients with Myalgic Encephalomyelitis: A Pilot Study[6] - (Full Text)
  • 2016, qEEG / LORETA in Assessment of Neurocognitive Impairment in a Patient with Chronic Fatigue Syndrome: A Case Report[7] - (Full Text)
  • 2016, Functional Neural Network Connectivity in Myalgic Encephalomyelitis[8] - (Full Text)
  • 2017, Small-world network analysis of cortical connectivity in Chronic Fatigue Syndrome using quantitative EEG[9] - (Full Text)
  • 2018 - Cortical hypoactivation during resting EEG suggests central nervous system pathology in patients with chronic fatigue syndrome[10] - (Abstract)
  • 2019, The Central Autonomic Network in Myalgic Encephalomyelitis Syndrome / Chronic Fatigue Syndrome, Doctoral Dissertation[2] - (Abstract)

Talks and interviews[edit | edit source]

Online presence[edit | edit source]

See also[edit | edit source]

Learn more[edit | edit source]

References[edit | edit source]

[4]

  1. 1.0 1.1 1.2 "Mark Zinn, Ph.D." LinkedIn. Retrieved December 3, 2019.
  2. 2.0 2.1 Zinn, Mark (June 14, 2019). "Small-World Network Analysis of Cortical Connectivity in Chronic Fatigue Syndrome using EEG". College of Science and Health Theses and Dissertations.
  3. "An open letter to The Lancet, again". Virology blog. Retrieved December 2, 2019.
  4. 4.0 4.1 Zinn, Mark A; May, Marcie L; Norris, Jane; Valencia, Ian; Montoya, Jose G; Maldonado, Jose R (2014). "Cortical hypoactivation during resting eLORETA suggests central nervous system pathology in patients with chronic fatigue syndrome". Conference: 2014 Stanford Myalgic Encephalomyelitis/ Chronic Fatigue Syndrome Symposium.
  5. Jason, Leonard; Zinn, Marcie; Zinn, Mark (2015). "Myalgic Encephalomyelitis: Symptoms and Biomarkers". Current Neuropharmacology. 13 (5): 701–34. doi:10.2174/1570159X13666150928105725. PMID 26411464.
  6. Zinn, Marcie; Zinn, Mark; Jason, Leonard (2016). "Intrinsic Functional Hypoconnectivity in Core Neurocognitive Networks Suggests Central Nervous System Pathology in Patients with Myalgic Encephalomyelitis: A Pilot Study". Applied Psychophysiology and Biofeedback. 41 (3): 283–300. doi:10.1007/s10484-016-9331-3. PMID 26869373.
  7. Zinn, Marcie; Zinn, Mark; Jason, Leonard (2016). "qEEG / LORETA in Assessment of Neurocognitive Impairment in a Patient with Chronic Fatigue Syndrome: A Case Report" (PDF). Clinical Research: Open Access. 2 (1). doi:10.16966/2469-6714.110.
  8. Zinn, Marcie; Zinn, Mark; Jason, Leonard (2016). "Functional Neural Network Connectivity in Myalgic Encephalomyelitis". NeuroRegulation. 3 (1): 28–50. doi:10.15540/nr.3.1.28.
  9. Zinn, Mark Alan; Zinn, Marcie L.; Jason, Leonard A. (December 7, 2017). "Small-World Network Analysis of Cortical Connectivity in Chronic Fatigue Syndrome Using Quantitative EEG". NeuroRegulation. 4 (3–4): 125. doi:10.15540/nr.4.3-4.125. ISSN 2373-0587.
  10. Zinn, M.A.; Zinn, M.L.; Valencia, I.; Jason, L.A.; Montoya, J.G. (July 2018). "Cortical hypoactivation during resting EEG suggests central nervous system pathology in patients with chronic fatigue syndrome". Biological Psychology. 136: 87–99. doi:10.1016/j.biopsycho.2018.05.016. PMID 29802861.