Parkinson Disease Clinical Trial
— PHENOOfficial title:
Defining Cognitive and Motor Phenotypes of Parkinson's Disease (PD) With Magnetoencephalography
NCT number | NCT02132052 |
Other study ID # | 11-0952 |
Secondary ID | |
Status | Completed |
Phase | |
First received | |
Last updated | |
Start date | November 2013 |
Est. completion date | May 2014 |
Verified date | June 2021 |
Source | University of Colorado, Denver |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Observational |
Investigators hypothesize that there are specific characteristic of each cognitive and motor condition that can be defined using brains scans.
Status | Completed |
Enrollment | 81 |
Est. completion date | May 2014 |
Est. primary completion date | May 2014 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 40 Years and older |
Eligibility | Inclusion Criteria: - All subjects will be age 40 or older, - Be on stable medications for at least 30 days - Montreal Cognitive Assessment (MOCA) of 26 or higher - Scores within 1.5 standard deviations of age-matched norms for all neuropsychological tests - Parkinson's Plus Disorders (PD) will be defined using United Kingdom (UK) Brain Bank Criteria. - PD dementia (PDD) will be defined using the Movement Disorder Task Force 2007 criteria and supported by scores less than 1.5 standard deviations of age-matched norms in at least two domains. - Probable Alzheimer's Disease (AD) will be defined using the National Institute on Aging-Alzheimer Association 2011 guidelines. - Parkinson's Plus Disorders (PD) with mild cognitive impairment (MCI) will be defined by history, MOCA of 21 or higher, at least one score less than 1.5 standard deviations of age-matched norms, and cannot meet diagnostic criteria for PDD. - Essential tremor and Parkinson plus syndromes (multiple systems atrophy, corticobasal degeneration, progressive supranuclear palsy) will be defined using previously published research criteria.19-22 Exclusion Criteria - Features suggestive of other causes of parkinsonism/Parkinson-plus syndromes; - Features suggestive of other causes of dementia, including moderate to severe cerebrovascular disease by history, or imaging or history of major head trauma; - History of deep brain stimulation, ablation surgery, or other brain surgery; - Evidence for depression based on the Hospital Anxiety Depression Scale (score > 11). |
Country | Name | City | State |
---|---|---|---|
United States | University Of Colorado. Denver, MEG Lab | Aurora | Colorado |
Lead Sponsor | Collaborator |
---|---|
University of Colorado, Denver |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Focal oscillatory activity | Focal oscillatory activity: Focal band power for delta (0.5-4Hz), theta (4-8 Hz), alpha (9- 13 Hz), low beta (13-20 Hz), high beta (20-30 Hz) and gamma (30-50 Hz) activity will be derived from the autoregressive models. | May 2014 | |
Secondary | Spectral coherence: | 2) Spectral coherence: Coherence is a measure of interdependence between two time series and can be applied to MEG data to determine functional networks.4a-chen Coherence will be derived from the autoregressive models. | May 2014 | |
Secondary | Spectral Granger analysis: | 3) Spectral Granger analysis: Granger analysis is a measure of the directionality of the relationship of two time series and can be applied to sensors or sources found to have significant coherence. | May 2014 | |
Secondary | Reactivity: | Reactivity: Reactivity refers to changes in oscillatory activity between the eye open and eye closed conditions. Prior research in AD has shown significantly reduced reactivity compared to age-matched controls. | May 2014 | |
Secondary | Complex network analysis: | Complex network analysis: Complex network analysis, originally developed in graph theory, is an approach to the study of complex systems such as brain networks. It allows investigators to characterize brain networks with a small number of neurobiologically meaningful and easily computable measures, including transitivity, global efficiency, and betweenness. These measures will be used to reveal the hypothesized connectivity abnormalities in PD and to differentiate different cognitive phenotypes in PD. | May 2014 |
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