Clinical Focus

  • Sleep Medicine

Academic Appointments

Professional Education

  • Board Certification: American Board of Psychiatry and Neurology, Sleep Medicine (2015)
  • Fellowship: Stanford University Sleep Medicine Fellowship (2014) CA
  • Board Certification: American Board of Psychiatry and Neurology, Clinical Neurophysiology (2013)
  • Fellowship: Rush University Clinical Neurophysiology Fellowship (2012) IL
  • Board Certification: American Board of Psychiatry and Neurology, Neurology (2011)
  • Residency: Rush University Medical Center Neurology Residency (2011) IL
  • Internship: University of Arkansas Internal Medicine (2009) AR
  • Medical Education: Shahid Beheshti University of Medical Sciences (2003) Iran

All Publications

  • Ambulatory Detection of Isolated Rapid-Eye-Movement Sleep Behavior Disorder Combining Actigraphy and Questionnaire. Movement disorders : official journal of the Movement Disorder Society Brink-Kjaer, A., Gupta, N., Marin, E., Zitser, J., Sum-Ping, O., Hekmat, A., Bueno, F., Cahuas, A., Langston, J., Jennum, P., Sorensen, H. B., Mignot, E., During, E. 2022


    BACKGROUND: Isolated rapid-eye-movement sleep behavior disorder (iRBD) is in most cases a prodrome of neurodegenerative synucleinopathies, affecting 1% to 2% of middle-aged and older adults; however, accurate ambulatory diagnostic methods are not available. Questionnaires lack specificity in nonclinical populations. Wrist actigraphy can detect characteristic features in individuals with RBD; however, high-frequency actigraphy has been rarely used.OBJECTIVE: The aim was to develop a machine learning classifier using high-frequency (1-second resolution) actigraphy and a short patient survey for detecting iRBD with high accuracy and precision.METHODS: The method involved analysis of home actigraphy data (for seven nights and more) and a nine-item questionnaire (RBD Innsbruck inventory and three synucleinopathy prodromes of subjective hyposmia, constipation, and orthostatic dizziness) in a data set comprising 42 patients with iRBD, 21 sleep clinic patients with other sleep disorders, and 21 community controls.RESULTS: The actigraphy classifier achieved 95.2% (95% confidence interval [CI]: 88.3-98.7) sensitivity and 90.9% (95% CI: 82.1-95.8) precision. The questionnaire classifier achieved 90.6% accuracy and 92.7% precision, exceeding the performance of the Innsbruck RBD Inventory and prodromal questionnaire alone. Concordant predictions between actigraphy and questionnaire reached a specificity and precision of 100% (95% CI: 95.7-100.0) with 88.1% sensitivity (95% CI: 79.2-94.1) and outperformed any combination of actigraphy and a single question on RBD or prodromal symptoms.CONCLUSIONS: Actigraphy detected iRBD with high accuracy in a mixed clinical and community cohort. This cost-effective fully remote procedure can be used to diagnose iRBD in specialty outpatient settings and has potential for large-scale screening of iRBD in the general population. © 2022 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

    View details for DOI 10.1002/mds.29249

    View details for PubMedID 36258659

  • Five-Minute Awake Snoring Test for Determining CPAP Pressures (Five-Minute CPAP Test): A Pilot Study Sleep Disorders Camacho, M., Ruoff, C. M., Kawai, M., Modi, R., Arbee, J., Hekmat, A., Robertson, M., Zaghi, S., Certal, V., Capasso, R., Kushida, C. A. 2016; 2016: 8

    View details for DOI 10.1155/2016/7380874