The ventral striatum harbours patient specific intracranial neural signatures of obsessions and compulsions
Fridgeirsson, E. A.; Bais, M. N.; Eijsker, N. A.; Thomas, R. M.; Smit, D. J.; Bergfeld, I. O.; Schuurman, R.; van den Munckhof, P.; de Koning, P.; Vulink, N.; Figee, M.; Mazaheri, A.; van Wingen, G.; Denys, D.
Show abstract
Deep brain stimulation is a treatment option for patients with refractory obsessive-compulsive disorder. A new generation of stimulators hold promise for closed loop stimulation, with adaptive stimulation in response to biological signals Here we aimed to discover a suitable biomarker in the ventral striatum in patients with obsessive compulsive disorder using local field potentials. We induced obsessions and compulsions and trained a deep learning model on the recorded time series. Average classification sensitivities were 47% for obsessions and 66% for compulsions for patient specific models at 25% chance level. Sensitivity for obsessions reached over 90% in one patient, whereas performance was near chance level when the model was trained across patients. Optimal sensitivity for obsessions and compulsions was obtained at different recording sites. This study shows that closed loop stimulation is a viable option for OCD, but that intracranial biomarkers for obsessive-compulsive disorder are patient and not disorder specific.
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