Development of an EEG Diagnostic for Alzheimer's Disease

July 3, 2023 updated by: Richard J. Caselli, Mayo Clinic

Development of an EEG Diagnostic for Alzheimer's Disease: A Feasibility Study

The purpose of this research is to collect and compare electroencephalogram data from all stages of Alzheimer's disease from preclinical through severe dementia.

Study Overview

Detailed Description

Patients with diagnoses of sporadic and late onset Alzheimer's disease dementia, MCI, and DLB evaluated by a dementia subspecialist will meet published diagnostic criteria, and EEGs will be obtained through written informed consent. Regarding presymptomatic patients, we have previously shown that the mean age of MCI diagnosis in our cohort is 73 years and that preclinical cognitive decline begins as much as 20 years before clinical diagnosis but is also affected by APOE genotype. Eligibility therefore will include unimpaired APOE e4/4 homozygotes age 65-75 and APOE e3/4 heterozygotes age 75-85 for the preclinical AD subset and age, sex, and education matched APOE e4 noncarriers for the unaffected controls. Biomarker confirmation for preclinical diagnosis will be utilized to the extent possible (a subset of 130 members of our cohort have undergone amyloid-PET resulting in approximately 45 who are amyloid positive). EEG data will be performed during wakefulness with 15 minutes of eyes open and 15 minutes of eyes closed. A 32 electrode cap will be applied following the 10-20 anatomical system by certified EEG technologists. Data will be recorded using a research-grade EEG system with FDA 510(k) clearance for use in medical contexts. Subjects will be seated in a testing room with minimal distractions. An EEG tech will fit the subject with a cap containing NN Ag/AgCl electrodes placed according to the international 10-10 system and ensure electrode impedances stay below 10 kΩ. Subjects will be instructed to minimize movements and remain in a relaxed but wakeful state. We will record fifteen minutes of eyes-open resting state EEG. Afterwards, the subjects will be instructed to close their eyes and reminded to stay relaxed but awake, and we will record fifteen minutes of eyes-closed resting state EEG. During the recording session, a researcher will monitor the subject's behavior and the EEG signal. The researcher will briefly prompt the subject to remain awake if the subject's behavior or EEG traces show signs of drowsiness. All data will be de-identified then transferred to SPARK Neuro's research and development team for analysis via secure encrypted methods. The data will be stored on password-protected computer systems, and only the necessary research and research-support staff at SPARK Neuro will have access to the data. The SPARK Neuro research and development team will analyze de-identified patient data to address the aims of this proposal. SPARK Neuro will use various techniques including those standard in EEG analysis (e.g. filtering, scaling, independent components analysis), particular approaches shown to be successful in the Alzheimer's disease EEG classification literature (e.g. coherence, relative power in standard frequency bands, functional connectivity, spectral entropy), as well as approaches from the broader machine-learning and EEG literature (e.g. spectral clustering, convolutional neural networks, cross-frequency coupling, non-linear kernels, Katz fractal dimension, beamforming).

Study Type

Observational

Enrollment (Estimated)

30

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Arizona
      • Scottsdale, Arizona, United States, 85259
        • Mayo Clinic in Arizona

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

50 years to 85 years (Adult, Older Adult)

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Subjects with moderate to severe dementia, mild stage dementia, amnestic MCI, presymptomatic APOE e4 carriers, and age, sex, and education matched APOE e4 noncarriers will be recruited at Mayo Clinic Arizona to obtain EEG data.

Description

Inclusion Criteria:

  • 5 individuals with moderate to severe dementia, 5 with mild stage dementia, 5 with amnestic MCI, 5 presymptomatic APOE e4 carriers, and 5 age, sex, and education matched APOE e4 noncarriers. Additionally we will include a group of 5 patients with mild to moderate stage dementia with Lewy bodies (DLB), the second most common degenerative dementia, to explore differences from clinically typical Alzheimer's disease patients given the known clinical differences in EEG dysrhythmic severity between them (total of 30).
  • Unimpaired APOE e4/4 homozygotes age 65-75 and APOE e3/4 heterozygotes age 75-85 for the preclinical AD subset and age, sex, and education matched APOE e4 noncarriers for the unaffected controls.
  • Biomarker confirmation for preclinical diagnosis will be utilized to the extent possible (a subset of 130 members of our cohort have undergone amyloid-PET resulting in approximately 45 who are amyloid positive).

Exclusion Criteria:

  • Previous stroke.
  • Severe head injury.
  • Craniotomy.
  • Any other potentially confounding neurologic illness (typically anything that causes structural brain damage).
  • Psychoactive medication use will not be an absolute exclusionary criterion in patients with moderate to severe dementia but patients who are relatively drug-free will be prioritized to the extent they are available within the study period.
  • Psychoactive drug use will be exclusionary in the prospectively obtained clinical patients.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Obtain electroencephalogram (EEG) data
Time Frame: 1 year
Number of EEG data on individuals at all stages of Alzheimer's disease from preclinical through severe dementia.
1 year

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Collaborators

Investigators

  • Principal Investigator: Richard Caselli, MD, Mayo Clinic

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2021

Primary Completion (Estimated)

June 1, 2024

Study Completion (Estimated)

June 1, 2024

Study Registration Dates

First Submitted

June 29, 2021

First Submitted That Met QC Criteria

June 29, 2021

First Posted (Actual)

July 8, 2021

Study Record Updates

Last Update Posted (Actual)

July 5, 2023

Last Update Submitted That Met QC Criteria

July 3, 2023

Last Verified

July 1, 2023

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

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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