PARKINSON DISEASE (Disorder)
Conditions
Brief 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.
Interventions
None listed
Sponsors
King's College London
Ruijin Hospital
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 75 Years
Healthy volunteers
No
Inclusion criteria
* Age ≥ 18 years * A diagnosis of Parkinson's Disease * A diagnosis of hallucinations, impulse control disorder, or panic disorder (episodic anxiety) * Previous bilateral DBS implantation with a Medtronic Percept device as part of clinical care
Exclusion criteria
* Non-English speakers * \<18 years old or \>75 years old * A history of concurrent conditions that could significantly confound the study results, such as other significant neurological condition (e.g., brain injury/infection, substance abuse) or concurrent severe psychiatric condition (e.g., schizophrenia) * Moderate/severe Intellectual Disability or inability to understand study procedures * Lack of capacity to consent to the study * Currently involvement in other studies
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Identification of Local Field Potential Correlates of Neuropsychiatric Symptoms in Parkinson's Disease | Baseline through Day 120 | Association between intracranial Local Field Potential (LFP) recordings from the Medtronic Percept Deep Brain Stimulation device and participant-reported neuropsychiatric symptom events, including hallucinations, impulse control symptoms, and episodic anxiety. Machine learning approaches will be used to identify electrophysiological patterns associated with symptom states. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Temporal Dynamics of Neuropsychiatric Symptoms | Baseline through Day 120 | Characterisation of the frequency, timing, and temporal patterns of participant-reported neuropsychiatric symptom events recorded using the Medtronic Percept device event-marking function. |
| Association Between LFP Features and Behavioural Task Performance | Baseline assessment at Day 0 | Association between Local Field Potential (LFP) features and performance on reward-processing behavioural tasks, including the Monetary Incentive Delay task and Apple Gathering Task. |
| Association Between LFP Features and Clinical Symptom Severity Measures | Baseline assessment at Day 0 | Association between Local Field Potential (LFP) features and validated clinical symptom severity scales, including the Neuropsychiatric Inventory (NPI), Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease Rating Scale (QUIP-RS), and Parkinson Anxiety Scale (PAS). |
Countries
China, United Kingdom
Contacts
CONTACTPaul Shotbolt, PhD
Outcome results
None listed