Bukhari Headshot
Principal Investigator
Assistant Professor of Neurology
Faculty Network Member of the Duke Institute for Brain Sciences
Contact Information

932 Morreene Rd., Durham, NC 27705
(919) 684-8704


The Bukhari lab studies the brain circuitry and physiology of a rare brain disorder called dystonia. Dystonia is an involuntary movement disorder manifested by abnormal body postures that lead to permanent disability. There is currently no disease-modifying therapy, a major unmet clinical need. We would like to thank dystonia patients and healthy volunteers who have participated in our research studies.

Your time and dedication are the hope and key to our success. If you would like to learn more about our work, please email us at movdisres@duke.edu.

The Bukhari lab maintains a culture of respect, pride and inclusion for all members of our community.


The Bukhari Lab studies the brain circuitry and physiology of a rare brain disorder called dystonia. 

Dystonia is an involuntary movement disorder manifested by abnormal body postures that lead to permanent disability. There is currently no disease modifying therapy, a major unmet clinical need. 

One of the key mechanisms of dystonia is an alteration of synaptic plasticity, a mechanism for learning and memory. The Bukhari Lab seeks to understand the disruption of synaptic plasticity in brain circuitry of human dystonia. This abnormality was previously reported to occur in deep brain regions in mouse models of dystonia. However, due to limitation in technology, the abnormality in synaptic plasticity has only been studied at the superficial cortical brain regions in human dystonia. At the Bukhari Lab, we have developed advanced technology to evaluate the mechanism of abnormal plasticity in deep brain regions in human dystonia. We use a non-invasive brain stimulation technology called transcranial magnetic stimulation (TMS) to understand the brain circuit of dystonia patients and measure changes in functional brain networks and its effect on clinical measures of dystonia.

A second goal of our research is to use insights gained from our evaluation of the abnormal plasticity mechanism in human dystonia to develop a long-lasting clinical therapy. To this end, we are applying advanced functional neuroimaging approaches and computational modeling to precisely deliver a TMS stimulation paradigm informed by biological understanding of the disease and change the abnormal neural circuitry in dystonia. Our goal is to identify a brain stimulation approach and pattern that can rectify the abnormal brain plasticity in human dystonia and provide long lasting clinical benefit for patients.

Collectively, the mechanistic and therapeutic goals of our research study have significant benefit for advancing the care of dystonia patients.  Understanding the disease mechanism will inform the development of future clinical therapies for all dystonia patients. TMS is FDA approved for treatment of depression, migraine and obsessive-compulsive disorder. Demonstrating therapeutic benefit in human dystonia will provide a novel, and non-invasive clinical therapy for dystonia patients.


  • Bukhari-Parlakturk N, Frucht SJ. Isolated and combined dystonias: Update. Handb Clin Neurol. 2023;196:425-442. doi: 10.1016/B978-0-323-98817-9.00005-3. PMID: 37620082.
  • McAllister ML, Slayton MA, Bukhari-Parlakturk N, Liu AJ, Peterchev AV, Davis SW. Intermittent Theta-Burst Stimulation for Memory Modulation in a Patient With Mild Cognitive Impairment and Trigeminal Neuralgia. J ECT. 2023 Jul 4. doi: 10.1097/YCT.0000000000000946. Epub ahead of print. PMID: 37530727.
  • Bukhari-Parlakturk N, Lutz MW, Al-Khalidi HR, Unnithan S, Wang JE, Scott B, Termsarasab P, Appelbaum LG, Calakos N. Suitability of Automated Writing Measures for Clinical Trial Outcome in Writer's Cramp. Mov Disord. 2023 Jan;38(1):123-132. doi: 10.1002/mds.29237. Epub 2022 Oct 13. PMID: 36226903; PMCID: PMC9851940.
  • Dannhauer M, Huang Z, Beynel L, Wood E, Bukhari-Parlakturk N, Peterchev AV. TAP: targeting and analysis pipeline for optimization and verification of coil placement in transcranial magnetic stimulation. J Neural Eng. 2022 Apr 21;19(2):10.1088/1741-2552/ac63a4. doi: 10.1088/1741-2552/ac63a4. PMID: 35377345; PMCID: PMC9131512.

Read more of Dr. Bukhari-Parlakturk's publications on PubMed.


The Bukhari lab is always looking for interested, talented members for our research team. Please email Dr. Bukhari at noreen.bukhari@duke.edu to learn more about open positions.

Our Team

Schilsky Movement Disorders Fellow
MSTP Year 1
Duke University Class of 2024
Duke University Class of 2025
Postdoctoral Associate
Research Scholar


Joyce Wang
Current position: Medical student, Georgetown University School of Medicine

Selen Berkman
Current position: Completing Duke undergraduate in Mathematics and Computer Science

Amber Holden
Current Position: Clinical Research Coordinator at Veteran Affairs Portland Health Care System

Ashley Pifer
Current Position: Senior Clinical Research Coordinator at Infectious Disease Division, Duke Internal Medicine Department

Chenxi Wu
Current position: Completing Master's degree in statistics, Duke University

Kelsey Ling

Eleanor Wood

Mariusz Derezinski-Choo

Michael Fei


Neurosci 493: Research Independent Study
Students and trainees are encouraged to learn from and work with Dr. Bukhari-Parlakturk by applying for the course Neurosci 493: Research Independent Study. This course is open to the following groups:
  • Undergraduates: Neurosci 493: Research Independent Study and Summer Neuroscience Program
  • Post-Baccalaureate: OPSD PRIME Pathways Program:
  • Duke Master's in Biomedical Engineering
  • Medical Students:  Third-Year Scholars Program
  • Research Fellows: Second-year research fellowship or research elective

Course Description:


Performing behavioral assessments using software-based assays, and brain imaging analyses using neuroimaging (fMRI) technology  to understand brain and behavior relationships in adult patients with focal dystonia after treatment with non-invasive brain stimulation technology (TMS)Our goal is to develop novel tools to improve the diagnosis and treatment of dystonia patients.  Preference is given to students with
computer science (python, Matlab) experience, but hands-on training is also provided.   
For more information, email noreen.bukhari@duke.edu.