This project aims to investigate the dynamic functional connectivity between the cerebellum and the hippocampus in patients with schizophrenia. The student will understand and explore cerebellum-hippocampus dynamic functional connectivity, and how it relates to the distinct symptoms of schizophrenia (negative, positive and cognitive) in a longitudinal cohort working closely with experts in dynamic functional connectivity methods. Additionally, the student will assist in data acquisition for a randomized controlled trial, which includes neuroimaging data, clinical assessment, and transcranial magnetic stimulation (TMS), a non-invasive neurostimulation technique that has shown promise in improving symptoms of neuropsychiatric disorders.
Required Skills and Background
Preferred background in clinical fields (e.g., psychology, medicine or equivalent).
Applicants from other disciplines with relevant skills and interests are also welcome.
Strong interest in clinical neurosciences and psychiatry, particularly schizophrenia
Experience with statistics and programming language (MATLAB, Python, or R), or willingness to learn
Ideally, prior experience with clinical work and data acquisition in human populations
Proficiency in French is required, especially for data acquisition
Familiarity with neuroimaging techniques is a plus Proactive attitude