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

Author:

Provenza Nicole R.ORCID,Reddy Sandesh,Allam Anthony K.,Rajesh Sameer V.,Diab Nabeel,Reyes GabrielORCID,Caston Rose M.,Katlowitz Kalman A.,Gandhi Ajay D.,Bechtold Raphael A.,Dang Huy Q.,Najera Ricardo A.,Giridharan Nisha,Kabotyanski Katherine E.,Momin Faiza,Hasen Mohammed,Banks Garrett P.,Mickey Brian J.,Kious Brent M.,Shofty BenORCID,Hayden Benjamin Y.,Herron Jeffrey A.ORCID,Storch Eric A.,Patel Ankit B.,Goodman Wayne K.,Sheth Sameer A.ORCID

Abstract

AbstractRecent 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.

Funder

U.S. Department of Health & Human Services | NIH | National Institute of Neurological Disorders and Stroke

Robert and Janice McNair Foundation

Publisher

Springer Science and Business Media LLC

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