The Resting-state EEG Gamma Oscillations in Alzheimer's Disease

Sponsor
Görsev Yener, MD, PhD (Other)
Overall Status
Completed
CT.gov ID
NCT05989087
Collaborator
(none)
51
1
76.9
0.7

Study Details

Study Description

Brief Summary

The literature suggests a strong association between amyloid accumulation and gamma alterations, emerging gamma activity as a biomarker candidate for Alzheimer's pathology. The present study aims to investigate resting-state gamma activity changes in CSF-proven early-onset Alzheimer's disease (EOAD) patients with a holistic approach that employs structural and functional brain neuroimaging techniques, and neuropsychological aspects.

Condition or Disease Intervention/Treatment Phase
  • Diagnostic Test: CSF

Detailed Description

This cross-sectional study included 24 drug-naive CSF-proven EOAD patients and age-, sex, and education-matched healthy controls. All participants underwent a detailed neuropsychological evaluation, resting-state EEG recording, and MRI. Gamma power and coherence were measured in total gamma (30-48 Hz), gamma-1 (30-35 Hz), gamma-2 (35-40 Hz), and gamma-3 (40-48 Hz) frequency bands. Gray matter volumes were extracted for 54 ROIs and compared between groups. Discriminant analysis was performed to determine the classification accuracy of gamma activity for EOAD. Finally, correlations between CSF, neuropsychological tests, EEG, and MRI measures were explored.

Study Design

Study Type:
Observational
Actual Enrollment :
51 participants
Observational Model:
Other
Time Perspective:
Retrospective
Official Title:
The Underestimated Utility of Resting-state Gamma Oscillations: Both Increase and Decrease of Gamma Discriminates Early-onset Alzheimer's Disease Patients From Healthy Individuals
Actual Study Start Date :
Nov 7, 2012
Actual Primary Completion Date :
Jan 2, 2016
Actual Study Completion Date :
Apr 5, 2019

Arms and Interventions

Arm Intervention/Treatment
Early-onset Alzhimer's disease

Patients were recruited from the outpatient memory clinics of the Department of Neurology, Dokuz Eylül University Hospital. The patient group was diagnosed by an expert neurologist, according to the National Institute on Aging-Alzheimer's Association diagnostic criteria for Alzheimer's disease

Diagnostic Test: CSF
Early-onset Alzheimer's disease patients underwent routine laboratory tests to obtain CSF samples. Also, all participants underwent structural MRI examinations and neuropsychological tests.
Other Names:
  • MRI
  • Neuropsychological tests
  • Healthy controls

    Age-and gender-matched healthy volunteers were recruited via advertisements and word-of-mouth.

    Outcome Measures

    Primary Outcome Measures

    1. EEG [Day 2]

      The resting state EEG recordings were acquired using Easy-Cap comprising 30 Ag/AgCl electrodes placed according to the international 10-20 system. Coherence and maximum peak power of the total gamma (30-48 Hz) and sub-gamma bands [gamma-1 (30-35 Hz), gamma-2 (35-40 Hz), and gamma-3 (40-48 Hz)] were measured for each participant.

    Secondary Outcome Measures

    1. Correlation Analysis [3 months]

      Correlations between CSF, NPT, EEG, and MRI measures were investigated.

    2. Discriminant Analysis [3 months]

      The discriminative power of gamma measures (power and coherence) was investigated with discriminant analysis (DA).

    3. MRI [Day 1]

      Participants underwent structural magnetic resonance imaging on a Philips Achieva 1.5 Tesla scanner. The gray matter volumes and cortical thickness were obtained from the 3D-T1 weighted TFE sequence (TR: 9ms, TE: 4ms, FOV: 240mm, matrix: 256, slice thickness: 1mm, NSA: 1).

    Eligibility Criteria

    Criteria

    Ages Eligible for Study:
    N/A to 65 Years
    Sexes Eligible for Study:
    All
    Accepts Healthy Volunteers:
    Yes
    Inclusion Criteria:
    • For all participants: Age < 65

    • For EOAD patients: Meeting National Institute on Aging-Alzheimer's Association diagnostic criteria.

    • For healthy controls: MMSE>25 IADL = 8

    Exclusion Criteria:
    • For EOAD patients: MMSE > 24 GDS > 14 Having treatment with antipsychotics and comorbidities that may affect cognitive abilities.

    • For healthy controls: Having neurological and/or cognitive abnormalities Having a history of neurological, psychiatric, or systemic disorders, and alcohol/drug abuse. GDS > 14

    • For all participants: Having neurological (other than AD) or any other serious disease (cancer, systemic disease)

    Contacts and Locations

    Locations

    Site City State Country Postal Code
    1 İzmir University of Economics İzmir Turkey

    Sponsors and Collaborators

    • Görsev Yener, MD, PhD

    Investigators

    None specified.

    Study Documents (Full-Text)

    More Information

    Publications

    None provided.
    Responsible Party:
    Görsev Yener, MD, PhD, Clinical Professor, Dokuz Eylul University
    ClinicalTrials.gov Identifier:
    NCT05989087
    Other Study ID Numbers:
    • DokuzEU EEG
    First Posted:
    Aug 14, 2023
    Last Update Posted:
    Aug 14, 2023
    Last Verified:
    Aug 1, 2023
    Individual Participant Data (IPD) Sharing Statement:
    Undecided
    Plan to Share IPD:
    Undecided
    Studies a U.S. FDA-regulated Drug Product:
    No
    Studies a U.S. FDA-regulated Device Product:
    No
    Keywords provided by Görsev Yener, MD, PhD, Clinical Professor, Dokuz Eylul University
    Additional relevant MeSH terms:

    Study Results

    No Results Posted as of Aug 14, 2023