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About

Nisha Giridharan is a neurosurgical researcher whose work sits at the intersection of stereotactic neurosurgery, neuromodulation, and advanced surgical robotics. Her research focuses on optimizing the precision and efficiency of procedures such as deep brain stimulation (DBS) and stereo-electroencephalography (sEEG), with particular emphasis on robot-assisted techniques. Her most-cited work, "Robot-Assisted Deep Brain Stimulation: High Accuracy and Streamlined Workflow" (2022, 33 citations), demonstrated that robotic stereotaxy can achieve exceptional targeting accuracy while reducing operating room time — a finding with significant implications for surgical throughput and patient outcomes. Building on this foundation, she has advanced robotic applications for responsive neurostimulation electrode placement in epilepsy surgery, improving workflow for complex hippocampal implantations. More recently, Giridharan has pushed into frontier territory by exploring circuit-level neuromodulation for psychiatric disorders, including treatment-resistant depression, and refining current-steering strategies to minimize side effects in DBS for obsessive-compulsive disorder. Her cumulative contributions reflect a commitment to making neurostimulation therapies safer, more precise, and accessible to patients with refractory neurological and psychiatric conditions.