Neural and Kinematic Features of Freezing of Gait for Adaptive Neurostimulation
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
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California
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Palo Alto, California, United States, 94304
- Stanford Movement Disorders
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- A diagnosis of idiopathic Parkinson's disease, with bilateral symptoms at Hoehn and Yahr Stage greater than or equal to II.
- Documented improvement in motor signs on versus off dopaminergic medication, with a change in the Unified Parkinson's Disease Rating Scale motor (UPDRS III) score of >= 30% off to on medication.
- The presence of complications of medication such as wearing off signs,fluctuating responses and/or dyskinesias, and/or medication refractory tremor,and/or impairment in the quality of life on or off medication due to these factors.
- Subjects should be on stable doses of medications, which should remain unchanged until the DBS system is activated. After the DBS system is optimized(during which time the overall medication dose may be reduced to avoid discomfort and complications such as dyskinesias) the medication dose should remain unchanged, if possible, for the duration of the study.
- Treatment with carbidopa/levodopa, and with a dopamine agonist at the maximal tolerated doses as determined by a movement disorders neurologist.
- Ability and willingness to return for study visits, at the initial programming and after three, six and twelve months of DBS.
- Age > 18
- Has a history of and/or displays freezing of gait
Exclusion Criteria:
- Subjects with significant cognitive impairment and/or dementia as determined bya standardized neuropsychological battery.
- Subjects with clinically active depression, defined according to the Diagnostic and Statistical manual of Mental Disorders, Fourth Edition (DSM-IV) criteria and as scored on a validated depression assessment scale.
- Subjects with very advanced Parkinson's disease, Hoehn and Yahr stage 5 on medication (non-ambulatory).
- Age > 80.
- Subjects with an implanted electronic device such as a neurostimulator, cardiac pacemaker/defibrillator or medication pump.
- Subjects, who are pregnant, are capable of becoming pregnant, or who are breast feeding.
- Patients with cortical atrophy out of proportion to age or focal brain lesions that could indicate a non-idiopathic movement disorder as determined by MRI
- Subjects having a major comorbidity increasing the risk of surgery (prior stroke,severe hypertension, severe diabetes, or need for chronic anti-coagulation other than aspirin).
- Subjects having any prior intracranial surgery.
- Subjects with a history of seizures.
- Subjects, who are immunocompromised.
- Subjects with an active infection.
- Subjects, who require diathermy, electroconvulsive therapy (ECT), or transcranial magnetic stimulation (TMS) to treat a chronic condition.
- Subjects, who have an inability to comply with study follow-up visits or study protocol.
- Subjects, who are unable to understand or sign the informed consent.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Basic Science
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Activa PC+S Neurostimulator
All patients will complete motor testing on both continuous DBS and adaptive DBS during a study visit.
The UPDRS rater and the patient will be blind to which type of stimulation they are on.
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Activa PC+S Neurostimulator is approved for both aDBS and cDBS paradigms.
Other Names:
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Incidence of Treatment-Emergent Adverse Events [Safety and Tolerability] Related to aDBS
Time Frame: 30 min - 2 hours
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Safety, tolerability and feasibility of aDBS
|
30 min - 2 hours
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Aim 1: Alpha Power
Time Frame: 30 minutes
|
Subthalamic nucleus (STN) local field potentials (LFP) recordings demonstrate oscillatory neuronal activity in both the alpha (8-12 Hz) and beta (13-30 Hz) bands in the resting state in PD.
Spectrograms were generated using a short-time Fourier transform, with a 1 second Hanning window and a 0.5 second overlap, creating a frequency resolution of 1 Hz.
Power spectral densities were calculated using the Welch method with the same window and overlap parameters.
Power was summed in the beta and alpha bands.
This power can be representative of the magnitude of oscillatory activity in this frequency band occurring in this brain region.
|
30 minutes
|
|
Aim 1: Beta Power
Time Frame: 30 minutes
|
Subthalamic nucleus (STN) local field potentials (LFP) recordings demonstrate oscillatory neuronal activity in both the alpha (8-12 Hz) and beta (13-30 Hz) bands in the resting state in PD.
Spectrograms were generated using a short-time Fourier transform, with a 1 second Hanning window and a 0.5 second overlap, creating a frequency resolution of 1 Hz.
Power spectral densities were calculated using the Welch method with the same window and overlap parameters.
Power was summed in the beta and alpha bands.
This power can be representative of the magnitude of oscillatory activity in this frequency band occurring in this brain region.
|
30 minutes
|
|
Aim 1: Alpha Sample Entropy
Time Frame: 30 minutes
|
The predictability of the local field potentials (band-pass filtered between 8-12 Hz for alpha) was analyzed using Sample Entropy (SampEn), a nonlinear measure suitable for physiological time series.
SampEn may be a more consistent measure and more suitable to shorter time series data than approximate entropy, partially due to the elimination of counting self matches.
SampEn is calculated as the negative logarithm of the estimated conditional probability that if consecutive subseries of length m are similar according to some preset tolerance r, the consecutive subseries of length m+1 will be similar too.
Here the length of the vector pairs, m, denotes the embedding dimension.
|
30 minutes
|
|
Aim 1: Beta Sample Entropy
Time Frame: 30 minutes
|
The predictability of the local field potentials (band-pass filtered between 15-30 Hz for beta) was analyzed using Sample Entropy (SampEn), a nonlinear measure suitable for physiological time series.
SampEn may be a more consistent measure and more suitable to shorter time series data than approximate entropy, partially due to the elimination of counting self matches.
SampEn is calculated as the negative logarithm of the estimated conditional probability that if consecutive subseries of length m are similar according to some preset tolerance r, the consecutive subseries of length m+1 will be similar too.
Here the length of the vector pairs, m, denotes the embedding dimension.
|
30 minutes
|
|
Aim 2: Asymmetry
Time Frame: 30 minutes
|
Asymmetry during both forward walking and stepping in place was calculated using periods of walking or stepping when the subject was not freezing. According to previous studies, asymmetry is defined as: 100*(absolute value of the natural log of the shorter average swing time over the longer average swing time) or mathematically: 100*| ln (SSWT/LSWT) | where SSWT = shorter mean swing time LSWT = longer mean swing time |
30 minutes
|
|
Aim 2: Arrhythmicity
Time Frame: 30 minutes
|
Arrhythmicity during both forward walking and stepping in place was calculated using periods of walking or stepping when the subject was not freezing.
According to previous studies, arrhythmicity is defined as the mean stride time coefficient of variation of both legs, and a greater stride time CV implies less rhythmic gait or stepping.
Higher arrhythmicity corresponds to more arrhythmic, or more impaired, gait.
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30 minutes
|
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Aim 2: Stride Time
Time Frame: 30 minutes
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Kinematic Features associated with Freezing of Gait
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30 minutes
|
|
Aim 2: Percent Time Freezing
Time Frame: 30 minutes
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Freezing of gait episodes during stepping in place were identified using a validated computerized algorithm, and during forward walking by a blinded rater.
The percent time freezing was calculated by dividing the time spent freezing by the total time to complete the task then multiplying by 100 to get a percent.
If no freezing was observed, then the percent time freezing reported was 0.0%.
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30 minutes
|
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Percent Time Freezing
Time Frame: 30 minutes
|
Freezing of gait episodes during stepping in place were identified using a validated computerized algorithm.
The percent time freezing was calculated by dividing the time spent freezing by the total time to complete the task then multiplying by 100 to get a percent.
If no freezing was observed, then the percent time freezing reported was 0.0%.
The percent time spent freezing was compared while the participant was doing the stepping in place task on continuous deep brain stimulation (cDBS) and while the participant was doing the stepping in place task on adaptive deep brain stimulation (aDBS).
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30 minutes
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 1R21NS096398 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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