Honors & Awards

  • I.L. Chaikoff Memorial Award in Neurobiology, University of California, Berkeley - Molecular & Cell Biology Department (May 2013)
  • Honorable Mention, Charlene Conrad Liebau Library Prize for Undergraduate Research, University of California, Berkeley (May 2012)

Professional Affiliations and Activities

  • Student Member, American Medical Association (2014 - Present)
  • Member, American Academy of Neurology (2014 - Present)
  • Member, Society for Neuroscience (SfN) (2014 - Present)

Membership Organizations

  • Arbor Free Clinic, Lab Coordinator

Education & Certifications

  • Bachelor of Arts, University of California, Berkeley, Molecular & Cell Biology (Neurobiology) (2013)
  • Bachelor of Sciences, University of California, Berkeley, Business Administration (2013)

All Publications

  • RIME and Reason: A Medical Student Perspective of Clinical Training in Student-Run Free Clinics J Stud Run Clin Gururangan, K., Lin, S. 2018; 4 (1): 1-5
  • Utility of electroencephalography: Experience from a U.S. tertiary care medical center. Clinical neurophysiology Gururangan, K., Razavi, B., Parvizi, J. 2016; 127 (10): 3335-3340


    To investigate the utility of electroencephalography (EEG) for evaluation of patients with altered mental status (AMS).We retrospectively reviewed 200 continuous EEGs (cEEGs) obtained in ICU and non-ICU wards and 100 spot EEGs (sEEGs) obtained from the emergency department (ED) of a large tertiary medical center. Main outcomes were access time (from study request to hookup), and diagnostic yield (percentage of studies revealing significant abnormality).Access time, mean±SD (maximum), was 3.5±3.2 (20.8) hours in ICU, 4.8±5.0 (25.6) hours in non-ICU, and 2.7±3.6 (23.9) hours in ED. Access time was not significantly different for stat requests or EEGs with seizure activity. While the primary indication for EEG monitoring was to evaluate for seizures as the cause of AMS, only 8% of cEEGs and 1% of sEEGs revealed seizures. Epileptiform discharges were detected in 45% of ICU, 24% of non-ICU, and 9% of ED cases, while 2% of ICU, 15% of non-ICU, and 45% of ED cases were normal.Access to EEG is hampered by significant delays, and in emergency settings, the conventional EEG system detects seizures only in a minority of cases.Our findings underscore the inefficiencies of current EEG infrastructure for accessing diagnostically important information, as well as the need for more prospective data describing the relationship between EEG access time and EEG findings, clinical outcomes, and cost considerations.

    View details for DOI 10.1016/j.clinph.2016.08.013

    View details for PubMedID 27611442