Evaluation of the COGNISION(TM) System as an Event-related Potential (ERP) Collection System.
NCT ID: NCT00582127
Last Updated: 2010-12-24
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
50 participants
OBSERVATIONAL
2008-01-31
2010-11-30
Brief Summary
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An ERP system records electrical signals at the scalp that are produced by the brain when performing cognitive tasks. By doing this study, we hope to evaluate various performance parameters of the COGNISION(TM) system.
Detailed Description
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Both groups, AD and controls will be asked to listen to a series of sounds and press a button on a handheld control box when a target sound is heard. The COGNISION(TM) headset on each subject's head will then record the electrical signals during this task.
Four important features of the COGNISION(TM) will be investigated:
1. Patient tolerance
2. Ease of use
3. Data quality
4. Network architecture
Conditions
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Keywords
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Study Design
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CASE_CONTROL
CROSS_SECTIONAL
Study Groups
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1
Mild-moderate Alzheimer's Disease
No interventions assigned to this group
2
Age-matched Controls
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* Mild to moderate diagnosis of Alzhiemer's disease
* Age 60 to 85
* Cognitively healthy with no complaints
Exclusion Criteria
* Neurological disorders such as stroke, Parkinson's disease, Huntington's disease, multiple sclerosis, brain tumor, delirium, or psychiatric disorder other than depression (e.g. schizophrenia)
* Subjects with life threatening illnesses and subjects with significant hearing or visual impairments
* Subjects with a current prescription for psychoactive pharmaceuticals
60 Years
85 Years
ALL
Yes
Sponsors
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University of Kentucky
OTHER
Neuronetrix, Inc.
INDUSTRY
Responsible Party
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University of Kentucky
Principal Investigators
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Charles D Smith, M.D.
Role: PRINCIPAL_INVESTIGATOR
University of Kentucky
Locations
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Sanders Brown Center for Aging, Neurology Dept.
Lexington, Kentucky, United States
Countries
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References
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Polikar R, Topalis A, Green D, Kounios J, Clark CM. Comparative multiresolution wavelet analysis of ERP spectral bands using an ensemble of classifiers approach for early diagnosis of Alzheimer's disease. Comput Biol Med. 2007 Apr;37(4):542-58. doi: 10.1016/j.compbiomed.2006.08.012. Epub 2006 Sep 20.
Related Links
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Website for manufacturer of COGNISION(tm) System being tested
Other Identifiers
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VAL-UK-01
Identifier Type: -
Identifier Source: org_study_id