Connectivity-Optimized Individualized Localization (COIL)

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The overarching goal of this project is to develop a tool for connectivity- guided targeting the dorsolateral prefrontal cortex (DLPFC) with transcranial magnetic stimulation (TMS). For broad applicability, the underlying algorithm needs to robustly provide individually optimized targets for high-precision personalized stimulation. To balance individual precision and robustness, large-scale information from normative datasets and data from patients with depression will serve to define the critical connectivity profiles of the DLPFC. We will apply machine-learning algorithms to these profiles to identify the optimal hotspot within this region in individual subjects. Implementation of the algorithm into a user-friendly software package will yield an impactful tool for TMS therapy of treatment-resistant depression.