EEG Classification System for Dementia

NCT02273921 | Unknown

• 1 other identifier: MC-CT-002
• Study Type: interventional
• Target: 2,000
• Locations: 0 countries
• Sites: N/A

Brief Summary

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:

1. 1.Healthy controls
2. 2.Mild Cognitive Impairment
3. 3.Alzheimers Disease (AD)
4. 4.Lewy-body Dementia
5. 5.Parkinsons Disease Dementia
6. 6.Vascular Dementia (VaD)
7. 7.Frontotemporal Dementia (FTD)
8. 8.Depression

Conditions

Dementia

Keywords

Dementia, Diagnosis, Electroencephalography

Outcome Measures

Primary Outcomes (1)

• Classification system for dementia based on EEG

  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.

Study Arms (1)

EEG

NO INTERVENTION

A non-invasive EEG recording

Other: EEG recording

Interventions

EEG recording OTHER

EEG is recorded once for each participant

EEG

Eligibility Criteria

• Age: 50 Years - 90 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Age of participant in the range of 50-90 years

You may not qualify if:

• Outside required age range

Sponsors & Collaborators

• Mentis Cura: lead
• Landspitali University Hospital: collaborator

Related Publications (3)

• 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.

  PMID: 20153691 BACKGROUND

• 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.

  PMID: 17765604 BACKGROUND

• 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.

  PMID: 22922592 RESULT

MeSH Terms

Conditions

Dementia; Disease

Condition Hierarchy (Ancestors)

Brain Diseases; Central Nervous System Diseases; Nervous System Diseases; Neurocognitive Disorders; Mental Disorders; Pathologic Processes; Pathological Conditions, Signs and Symptoms

Study Officials

• Jón Snædal, MD

  Landspitali University Hospital

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: NA
• Masking: NONE
• Purpose: DIAGNOSTIC
• Intervention Model: SINGLE GROUP
• Sponsor Type: INDUSTRY
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: September 29, 2014
• First Posted: October 24, 2014
• Study Start: March 1, 2005
• Primary Completion: June 1, 2020
• Study Completion: June 1, 2020
• Last Updated: October 24, 2014

Record last verified: 2014-10