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Jing Wang, MD, PhD

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  • Specialty: Pain Management
  • Treats: Adults
  • Languages: English, Cantonese, Mandarin, Shanghainese
  • Phone: 212-201-1004
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Positions
  • Valentino D.B. Mazzia, MD, JD Professor of Anesthesiology,
  • Professor,
  • Director, Interdisciplinary Pain Program
  • Director, Research, Center for the Study and Treatment of Pain
  • Vice Chair, Research, Department of Anesthesiology, Perioperative Care and Pain Medicine
Board Certifications
  • American Board of Anesthesiology (Pain Medicine), 2009
  • American Board of Anesthesiology - Anesthesiology, 2009
Education and Training
  • Fellowship, Johns Hopkins Hospital, Pain Management, 2009
  • Residency, Columbia Presbyterian Medical Center, Anesthesiology, 2008
  • MD from Columbia University, 2004
  • PhD from Columbia College, 2003

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Jing Wang, MD, PhD does not accept insurance.

Locations and Appointments

Center for the Study and Treatment of Pain

240 East 38th Street, 14th Floor, New York, NY 10016

Phone

212-201-1004

Fax

212-263-7254

Interests

molecular, cellular, & translational neuroscience, computational neuroscience, neural engineering

Research Summary

My research interest is centered on the role of brain circuits in the regulation of acute and chronic pain. One of our research areas is the cortical mechanisms of pain processing and regulation. We have recently found that glutamatergic projections from the prefrontal cortex to the nucleus accumbens can modulate acute and persistent postoperative pain in rodent models. We are currently performing pre-clinical and clinical investigations of pharmacological agents that alter glutamate signaling such as ketamine in postoperative pain management. We are also investigating gain control mechanisms for pain regulation in the cortex. A second area of focus in our laboratory lies in the use of computational methods to decode pain in the brain and to implement a brain-machine interface (BMI) to treat pain in real-time. We have successful decoded both the onset and intensity of acute pain in rodents using supervised and unsupervised machine learning algorithms, and we have constructed prototype BMIs to demonstrate its analgesic activities in rodents. We are currently working on identifying neural biomarkers for spontaneous pain and chronic pain. 

Academic Contact

Academic office

435 E 30th Street

Tenth Floor

New York, NY 10016

Phone

646-501-4515

These focus areas and their associated publications are derived from PubMed and the MeSH term library. *
represents one publication
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*Due to PubMed processing times, the most recent publications may not be reflected in the timeline.

  • Chronic Pain and Postoperative Cognitive Function in the Elderly: a Prospective Observational Study

  • A Single-Center Observational Study to Develop EEG Biomarkers of Transition from Acute to Chronic Pain

  • Wang, Jing; Chen, Zhe Sage

    Cell reports. Medicine. 2024 Oct 15; 5(10):101662

  • Wang, Jing; Doan, Lisa V

    Cell reports. Medicine. 2024 Oct 04; 101786

  • Wu, Rachel R; Katz, Simon; Wang, Jing; Doan, Lisa V

    Current oncology reports. 2024 Aug ; 26(8):865-879

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