Disruption of neural periodicity predicts clinical response after deep brain stimulation for obsessive-compulsive disorder

NR Provenza, S Reddy, AK Allam, SV Rajesh, N Diab… - Nature Medicine, 2024 - nature.com
NR Provenza, S Reddy, AK Allam, SV Rajesh, N Diab, G Reyes, RM Caston, KA Katlowitz
Nature Medicine, 2024nature.com
Recent advances in surgical neuromodulation have enabled chronic and continuous
intracranial monitoring during everyday life. We used this opportunity to identify neural
predictors of clinical state in 12 individuals with treatment-resistant obsessive-compulsive
disorder (OCD) receiving deep brain stimulation (DBS) therapy (NCT05915741). We
developed our neurobehavioral models based on continuous neural recordings in the
region of the ventral striatum in an initial cohort of five patients and tested and validated …
Abstract
Recent advances in surgical neuromodulation have enabled chronic and continuous intracranial monitoring during everyday life. We used this opportunity to identify neural predictors of clinical state in 12 individuals with treatment-resistant obsessive-compulsive disorder (OCD) receiving deep brain stimulation (DBS) therapy (NCT05915741). We developed our neurobehavioral models based on continuous neural recordings in the region of the ventral striatum in an initial cohort of five patients and tested and validated them in a held-out cohort of seven additional patients. Before DBS activation, in the most symptomatic state, theta/alpha (9 Hz) power evidenced a prominent circadian pattern and a high degree of predictability. In patients with persistent symptoms (non-responders), predictability of the neural data remained consistently high. On the other hand, in patients who improved symptomatically (responders), predictability of the neural data was significantly diminished. This neural feature accurately classified clinical status even in patients with limited duration recordings, indicating generalizability that could facilitate therapeutic decision-making.
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