Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

EEG Markers of Dementia with Lewy Bodies: A Multicenter Cohort Study

Lookup NU author(s): Professor John-Paul TaylorORCiD, Dr Ruth Cromarty, Dr Dag Aarsland

Downloads

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).

Abstract

Quantitative EEG (QEEG) has demonstrated good discriminative capacity for dementia with Lewy bodies (DLB) diagnosis as compared to Alzheimer's disease (AD) with a predictive value of 100% in a single cohort study. EEG in DLB was characterized by a dominant frequency (DF) in pre-alpha (5.5-7.5 Hz), theta, or delta bands and DF variability (DFV) >1.2 Hz, frequency prevalence (FP) pre-alpha in >40% and FP alpha in <32% of the epochs. To validate the aforementioned QEEG findings in independent cohorts of clinically diagnosed DLB versus AD patients, we analyzed EEG traces of 79 DLB and 133 AD patients (MMSE >20) collected from four European Centers. EEG traces from 19 scalp derivations were acquired as at least 10 min continuous signals and epoched in off-setting as series of 2-second-long epochs, subsequently processed by Fast Fourier Transform (frequency resolution 0.5 Hz). DLB patients showed EEG specific abnormalities in posterior derivations characterized by DF <8 Hz FP pre-alpha >50%, FP alpha <25%. DFV was >0.5 Hz. AD patients displayed stable alpha DF, DFV <0.5 Hz, FP pre-alpha <30%, and FP alpha >55%. DLB and AD differed for DF (p < 10-6), DFV (p < 0.05), FP pre-alpha (p < 10-12) and FP alpha (p < 10-12). Discriminant analysis detected specific cut-offs for every EEG mathematical descriptor; DF = 8, DFV = 2.2 Hz, FP pre-alpha=33%, FP alpha = 41% for posterior derivations. If at least one of the cut-off values was met, the percentage of DLB and AD patients correctly classified was 90% and 64%, respectively. The findings in this multicenter study support the validity of QEEG analysis as a tool for diagnosis in DLB patients.

Publication metadata

Author(s): Bonanni L, Francotti R, Nobili F, Kramberger MG, Taylor JP, Garcia-Ptacek S, Falasca WN, Fama F, Cromarty R, Onofrj M, Aarsland D

Publication type: Article

Publication status: Published

Journal: Journal of Alzheimer's Disease

Year: 2016

Volume: 29

Issue: 5

Pages: 1-9

Online publication date: 02/09/2016

Acceptance date: 22/07/2016

Date deposited: 04/11/2016

ISSN (print): 1387-2877

ISSN (electronic): 1875-8908

Publisher: IOS Press

URL: http://dx.doi.org/10.3233/JAD-160435

DOI: 10.3233/JAD-160435

Altmetrics

Altmetrics provided by Altmetric

Share