Repetitive Transcranial Magnetic Stimulation (rTMS) for Chronic Neuropathic Pain
Julian Motzkin, Professor
UC San Francisco
Applications for Spring 2025 are closed for this project.
When pain becomes chronic, there can be changes in brain areas involved with processing pain signals. Our research combines fMRI of pain circuits with repetitive transcranial magnetic stimulation (rTMS), a type of non-invasive brain stimulation, to determine how rTMS may alleviate difficult-to-treat pain.
Role: Students will have the opportunity to work on two main projects: fMRI analysis and TMS data analysis. This work may involve analyzing physiological data, coding and performing quality checks, piloting thermal pain tasks, and machine learning with prediction outcomes. Much of this work can be done remotely, but students will have the opportunity to come in-person for fMRI and TMS sessions if they wish.
Qualifications: Preferred but not essential: upper division Data Science majors who have completed Data 8; experience with coding languages such as bash, Python, MATLAB, and R.
Hours: to be negotiated
Off-Campus Research Site: UCSF 675 18th St. San Francisco, CA 94107
Related website: http://profiles.ucsf.edu/julian.motzkin
Related website: http://www.ucsfhealth.org/providers/dr-julian-motzkin