Local Field Potential Correlates of Neuropsychiatric Symptoms in Parkinson's Disease

NCT07633379 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 20

Last updated 2026-06-08

No results posted yet for this study

Summary

This prospective observational cohort study aims to investigate whether intracranial Local Field Potentials (LFPs) recorded from implanted Deep Brain Stimulation (DBS) devices are associated with neuropsychiatric symptoms in people with Parkinson's disease (PD). The study will focus on paroxysmal anxiety, impulse control disorders, and hallucinations.

Twenty participants with Parkinson's disease and an implanted Medtronic Percept DBS device will be recruited. Participants will complete behavioural and clinical assessments and will use the event-marking functionality of the DBS device to record symptom episodes over a monitoring period of approximately 120 days. Brain activity will be passively recorded during this period.

The study will evaluate relationships between LFP signals, symptom occurrence, behavioural task performance, and clinical symptom severity measures. Machine learning approaches will be used to identify electrophysiological patterns associated with neuropsychiatric symptom states at an individual level.

The findings may improve understanding of the neural mechanisms underlying neuropsychiatric symptoms in Parkinson's disease and support the future development of personalised adaptive neuromodulation approaches.

Conditions

  • PARKINSON DISEASE (Disorder)

Sponsors & Collaborators

Eligibility

Min Age
18 Years
Max Age
75 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-06-01
Primary Completion
2028-01-01
Completion
2028-02-01

Countries

  • China
  • United Kingdom

Study Locations

More Related Trials

Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07633379 on ClinicalTrials.gov