Disruption of neural periodicity predicts clinical response after deep brain stimulation for obsessive-compulsive disorder
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. 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.
Date: 4 December 2024, 15:00 (Wednesday, 8th week, Michaelmas 2024)
Venue: Old Road Campus Research Building, Headington OX3 7DQ
Venue Details: Institute for Biomedical Engineering (IBME) - 1st Floor Seminar Room
Speaker: Asst. Prof. Nicole Provenza (Baylor College of Medicine)
Organising department: MRC Brain Network Dynamics Unit
Organiser: Prof. Andrew Sharott (MRC Brain Network Dynamics Unit)
Organiser contact email address: andrew.sharott@bndu.ox.ac.uk
Host: Prof. Timothy Denison (University of Oxford)
Part of: Brain Network Dynamics Seminar Series
Booking required?: Not required
Audience: Members of the University only
Editor: Laura Wehmeyer