GADGET-PD Genetic and Digital Diagnosis of Essential Tremor and Parkinson's Disease Trial
NCT ID: NCT02668835
Last Updated: 2020-03-18
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
67 participants
OBSERVATIONAL
2015-11-30
2019-04-30
Brief Summary
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In this study, the investigators will collect blood from individuals with confirmed late-onset diagnosis of PD and ET. Gold standard diagnosis status will be determined via the Unified Parkinson's Disease Rating Scale (UPDRS) - the accepted clinical gold standard for Parkinson's Disease diagnosis. DNA will be extracted from blood samples to characterize the genetic risk of individuals for PD via proven genetic risk models. In addition, participants will wear a wristwatch-like accelerometer device that will track their movements (tremors) at high temporal resolution and transmit movement data via a smartphone. Cognitive distraction tasks will be administered via mobile phones while simultaneously collecting movement data. Predictive tremor features will be extracted from movement data via signal processing approaches - e.g. discrete wavelet transformation. A final predictive model combining movement tracking information and genetic information will be designed in attempt to distinguish PD from ET individuals.
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Detailed Description
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Conditions
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Study Design
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COHORT
RETROSPECTIVE
Study Groups
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Cohort 1
Idiopathic Parkinson's Disease as defined by the UK brain bank criteria and history of resting tremor.
Non intervention-Monitoring device
Fox Insight self-monitoring android app and smartwatch Participants will be asked to wear a smartwatch with accelerometers, during day and night, for a period of 2 weeks. Additionally, a self-monitoring app on a smartphone is used, where the participant reports when they take any medication and performs a focused attention task to encourage resting tremor.
Non intervention-Genetic testing
Cohort 2
Essential Tremor with history of resting tremor. Diagnosis made by a movement disorder specialist
Non intervention-Monitoring device
Fox Insight self-monitoring android app and smartwatch Participants will be asked to wear a smartwatch with accelerometers, during day and night, for a period of 2 weeks. Additionally, a self-monitoring app on a smartphone is used, where the participant reports when they take any medication and performs a focused attention task to encourage resting tremor.
Non intervention-Genetic testing
Interventions
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Non intervention-Monitoring device
Fox Insight self-monitoring android app and smartwatch Participants will be asked to wear a smartwatch with accelerometers, during day and night, for a period of 2 weeks. Additionally, a self-monitoring app on a smartphone is used, where the participant reports when they take any medication and performs a focused attention task to encourage resting tremor.
Non intervention-Genetic testing
Eligibility Criteria
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Inclusion Criteria
* Essential Tremor with history of resting tremor. Diagnosis made by a movement disorder specialist.
* Midstage in disease process for Parkinson's disease with history of resting tremor
Exclusion Criteria
* Atypical Parkinsonism
* Akinesia/ rigidity Parkinson's Disease
* Movement Disorders - Stiff-Person syndrome, choreatic disease, dystonia, progressive supranuclear palsy
* Motor neuron disease - Multiple sclerosis, amyotrophic lateral sclerosis, motor neuritis, progressive bulbar palsy, progressive muscular atrophy, spinal muscular atrophy
* Significant neurological comorbidities:
* Stroke
* Brain cancer or brain metastases
* History of bone marrow transplant
* Cerebral palsy and spastic paraplegia
18 Years
ALL
No
Sponsors
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Michael J. Fox Foundation for Parkinson's Research
OTHER
Intel Corporation
INDUSTRY
Scripps Translational Science Institute
OTHER
Responsible Party
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Principal Investigators
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Ali Torkamani, PhD
Role: PRINCIPAL_INVESTIGATOR
Scripps Translational Science Institute
Other Identifiers
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IRB-15-6628
Identifier Type: -
Identifier Source: org_study_id
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