Defining Phenotypes of Movement Disorders :Parkinson's Plus Disorders (PD), Essential Tremor (ET), Cortical Basal Degeneration (CBD), Multiple Systems Atrophy (MSA), Magnetoencephalography. (PHENO)
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|ClinicalTrials.gov Identifier: NCT02132052|
Recruitment Status : Recruiting
First Posted : May 6, 2014
Last Update Posted : February 10, 2017
|Condition or disease|
|Essential Tremor Multiple System Atrophy Corticobasal Degeneration Supranuclear Palsy, Progressive Parkinson Disease|
Specific Aim 1: Determine which features of resting Magnetoencephalography (MEG) brain activity most sensitively discriminate between PD with normal cognition, PD with mild cognitive impairment (MCI), and PD dementia (PDD). Investigators predict that frontal network slowing and connectivity will discriminate between normal cognition and MCI while visuospatial network involvement will distinguish the PDD group.
Specific Aim 2: Determine which features of resting MEG brain activity most sensitively discriminate PDD from Alzheimer's Disease. Investigators predict that PDD will be distinguished from Alzheimer's (AD) on the basis of increased network connectivity, particularly in frontal and visuospatial networks.
Specific Aim 3 Investigate how resting state MEG activity correlates with task related brain activity. Investigators predict that resting state slowing will be associated with decreased task related brain activity.
Specific Aim 4: Determine which features of resting MEG brain activity most sensitively discriminate between motor subtypes of PD and also other relevant clinical populations (essential tremor and Parkinson plus syndromes). Investigators predict that frontal and parietal slowing and connectivity will discriminate PD from related conditions and that patterns of motor cortex connectivity and activity will differentiate among PD motor phenotypes.
|Study Type :||Observational|
|Estimated Enrollment :||18 participants|
|Official Title:||Defining Cognitive and Motor Phenotypes of Parkinson's Disease (PD) With Magnetoencephalography|
|Study Start Date :||November 2013|
|Actual Primary Completion Date :||December 2014|
|Estimated Study Completion Date :||December 2018|
- Focal oscillatory activity [ Time Frame: May 2014 ]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.
- Spectral coherence: [ Time Frame: May 2014 ]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.
- Spectral Granger analysis: [ Time Frame: May 2014 ]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.
- Reactivity: [ Time Frame: May 2014 ]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.
- Complex network analysis: [ Time Frame: May 2014 ]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.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02132052
|Contact: Sarah Rogers||303 724 8655||Sarah.Rogers@ucdenver.edu|
|Contact: Benzi Kluger, MD||303 724 firstname.lastname@example.org|
|United States, Colorado|
|University Of Colorado. Denver, MEG Lab||Recruiting|
|Aurora, Colorado, United States, 80045|
|Principal Investigator:||Benzi Kluger, MD||University of Colorado, Denver|