Bio

Dr. Felix Chang's clinical practice mainly involves intraoperative neurophysiologic monitoring (IONM) and the treatment of neurological disorders with botulinum toxin. He earned his medical degree at the University of Texas Southwestern Medical Center. He completed his neurology residency at the Harvard Neurology Program at the Beth Israel Deaconess Medical Center in Boston. He then went on to complete a fellowship in clinical neurophysiology with a focus in intraoperative neurophysiologic monitoring at Stanford.

Clinical Focus

  • Intraoperative Neurophysiological Monitoring
  • Botulinum Toxin Treatment
  • Clinical Neurophysiology

Academic Appointments

Honors & Awards

  • Young Investigator Award, American Clinical Neurophysiology Society (2021)

Professional Education

  • Internship: George Washington University Medical Center Dept of Internal Medicine (2017) DC
  • Board Certification, American Board of Psychiatry and Neurology, Clinical Neurophysiology (2023)
  • Fellowship: Stanford Neurophysiology Fellowship (2021) CA
  • Board Certification: American Board of Psychiatry and Neurology, Neurology (2020)
  • Residency: Beth Israel Deaconess Medical Center Neurology Residency (2020) MA
  • Medical Education: University of Texas Southwestern Medical School Registrar (2016) TX
  • MD, University of Texas Southwestern (2016)

Contact

  • Academic
    Department: Adult Neurology Position: Clinical Assistant Professor
  • Clinical (Primary)  Stanford Neuroscience Health Center 213 Quarry Rd 3rd Fl MC 5958 Palo Alto, CA 94304 (650) 725-7459 (fax)

Additional Clinical Info

Additional Info

All Publications

  • Multimodal Intraoperative Neurophysiologic Monitoring Including Transcranial Motor Evoked Potentials for the Detection of Cerebral Ischemia During Carotid Endarterectomy. Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society Gummi, R., Hirschauer, T., Chang, F., Tippur, A., Keroles, M., Meyers, N., Nguyen, V., Lee, L., Cho, S. C., López, J. R., Le, S. 2026

    Abstract

    Carotid endarterectomy (CEA) is a common surgical intervention, but the perioperative stroke risk may be as high as 12%, with an average reported rate approximately 3%. Intraoperative neurophysiologic monitoring (IONM) can provide real-time feedback to guide the surgical team on whether or not to place a temporary shunt to reduce the length of time that cerebral blood flow is interrupted. In this study, the authors assessed the utility of adding transcranial motor evoked potentials (tcMEPs) to other IONM modalities in early detection of cerebral ischemia during CEAs.The authors conducted a retrospective review of CEA cases from 2010 to 2020 at this center and included all CEA cases with electroencephalogram (EEG), somatosensory evoked potentials (SSEPs) and tcMEPs. The authors analyzed the IONM reports for case details. The primary study end points were types of IONM changes and their relative onsets to carotid occlusion.The authors identified 254 patients who underwent 274 CEAs using multimodal IONM. In 35 (12.7%) cases, there were critical IONM changes with 33 (12.0%) demonstrating changes during clamping of the carotid artery. Of these 35 cases, changes in both SSEPs and tcMEPs were observed in 20 (57.1%), only SSEP changes in 8 (22.9%), and only tcMEP changes in 2 (5.7%). In 5 cases, tcMEP loss was noted to precede other IONM changes. In total, 82% of significant changes were observed within the first 10 minutes of carotid clamping.This large cohort study shows that multimodal IONM with tcMEPs can contribute to the early detection of cerebral ischemia during CEA.

    View details for DOI 10.1097/WNP.0000000000001241

    View details for PubMedID 41637738

  • Intraoperative Neurophysiologic Monitoring of Cerebrovascular Disorders Intraoperative Monitoring Lopez, J. R., Chang, F. W. Springer, Cham. 2022; 1: 611–659

    View details for DOI 10.1007/978-3-030-95730-8_28

  • Intraoperative Neurophysiologic Monitoring for Thoracic and Thoracoabdominal Aortic Procedures Intraoperative Monitoring Chang, F. W., Lopez, J. R. Springer, Cham. 2022; 1: 661–708

    View details for DOI 10.1007/978-3-030-95730-8_29

https://orcid.org/0000-0001-5589-8338