- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT02273921
EEG Classification System for Dementia
The goal of this study is to construct a large database of EEG recordings from elderly individuals in predefined groups. The purpose of this database is to select groups of EEG recordings from the database in order to compare the electrophysiology, as measured by EEG, of the groups.
In the clinical trial part all individuals are treated exactly the same and are therefore considered a single group. The categorization is performed during the data analysis.
The groups in the data analysis will initially be based on the following:
- Healthy controls
- Mild Cognitive Impairment
- Alzheimers Disease (AD)
- Lewy-body Dementia
- Parkinsons Disease Dementia
- Vascular Dementia (VaD)
- Frontotemporal Dementia (FTD)
- Depression
Other groups will be added if needed.
Study Overview
Study Type
Enrollment (Anticipated)
Phase
- Not Applicable
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- Age of participant in the range of 50-90 years
Exclusion Criteria:
- Outside required age range
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
No Intervention: EEG
A non-invasive EEG recording
|
EEG is recorded once for each participant
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Classification system for dementia based on EEG
Time Frame: The quality of the classification system will be evaluated regularly, at least every 6 months, up to 6 years.
|
The EEGs recorded in the trial will be categorized into controls or predefined clinical groups based on the participants' clinical diagnosis.
The classification system will be constructed using this categorization.
|
The quality of the classification system will be evaluated regularly, at least every 6 months, up to 6 years.
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Principal Investigator: Jón Snædal, MD, Landspitali University Hospital
Publications and helpful links
General Publications
- Snaedal J, Johannesson GH, Gudmundsson TE, Gudmundsson S, Pajdak TH, Johnsen K. The use of EEG in Alzheimer's disease, with and without scopolamine - a pilot study. Clin Neurophysiol. 2010 Jun;121(6):836-41. doi: 10.1016/j.clinph.2010.01.008. Epub 2010 Feb 12.
- Gudmundsson S, Runarsson TP, Sigurdsson S, Eiriksdottir G, Johnsen K. Reliability of quantitative EEG features. Clin Neurophysiol. 2007 Oct;118(10):2162-71. doi: 10.1016/j.clinph.2007.06.018. Epub 2007 Aug 31.
- Snaedal J, Johannesson GH, Gudmundsson TE, Blin NP, Emilsdottir AL, Einarsson B, Johnsen K. Diagnostic accuracy of statistical pattern recognition of electroencephalogram registration in evaluation of cognitive impairment and dementia. Dement Geriatr Cogn Disord. 2012;34(1):51-60. doi: 10.1159/000339996. Epub 2012 Aug 23.
Study record dates
Study Major Dates
Study Start
Primary Completion (Anticipated)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Estimate)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- MC-CT-002
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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