edoc

Phase lag index and spectral power as QEEG features for identification of patients with mild cognitive impairment in Parkinson's disease

Chaturvedi, Menorca and Bogaarts, Jan Guy and Kozak Cozac, Vitalii V. and Hatz, Florian and Gschwandtner, Ute and Meyer, Antonia and Fuhr, Peter and Roth, Volker. (2019) Phase lag index and spectral power as QEEG features for identification of patients with mild cognitive impairment in Parkinson's disease. Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology, 130 (10). pp. 1937-1944.

Full text not available from this repository.

Official URL: https://edoc.unibas.ch/73937/

Downloads: Statistics Overview

Abstract

To identify quantitative EEG frequency and connectivity features (Phase Lag Index) characteristic of mild cognitive impairment (MCI) in Parkinson's disease (PD) patients and to investigate if these features correlate with cognitive measures of the patients.; We recorded EEG data for a group of PD patients with MCI (n = 27) and PD patients without cognitive impairment (n = 43) using a high-resolution recording system. The EEG files were processed and 66 frequency along with 330 connectivity (phase lag index, PLI) measures were calculated. These measures were used to classify MCI vs. MCI-free patients. We also assessed correlations of these features with cognitive tests based on comprehensive scores (domains).; PLI measures classified PD-MCI from non-MCI patients better than frequency measures. PLI in delta, theta band had highest importance for identifying patients with MCI. Amongst cognitive domains, we identified the most significant correlations between Memory and Theta PLI, Attention and Beta PLI.; PLI is an effective quantitative EEG measure to identify PD patients with MCI.; We identified quantitative EEG measures which are important for early identification of cognitive decline in PD.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenanalyse (Roth)
UniBasel Contributors:Roth, Volker and Chaturvedi, Menorca and Cozac, Vitalii and Bogaarts, Jan Guy and Hatz, Florian and Gschwandtner, Ute and Meyer, Antonia and Fuhr, Peter
Item Type:Article, refereed
Article Subtype:Research Article
Publisher:Elsevier
ISSN:1872-8952
Note:Publication type according to Uni Basel Research Database: Journal article
Related URLs:
Identification Number:
Last Modified:24 Jun 2020 14:02
Deposited On:24 Jun 2020 14:02

Repository Staff Only: item control page