AbstractMild cognitive impairment (MCI) as a precursor of dementia with Lewy bodies (DLB) is the focus of recent research, trying to explore the early mechanisms and possible biomarkers of DLB. Quantitative electroencephalogram (QEEG) methods are able to differentiate early DLB from Alzheimer's disease (AD). The aim of the present study was to assess whether QEEG abnormalities, characterized by dominant frequency <8 Hz and dominant frequency variability >1.5 Hz, typical of early DLB, are already present at the stage of MCI and to evaluate whether EEG abnormalities can predict the development of DLB. Forty-seven MCI subjects were followed for 3 years. EEG recordings were obtained at admission and at the end of the study. At the end of follow...
Introduction The aim of this study was to build a random forest classifier to improve the diagnostic...
Aims of the study: Earlier P300 studies were conducted when the prevalence of dementia with Lewy Bod...
INTRODUCTION: The aim of this study was to build a random forest classifier to improve the diagnosti...
AbstractMild cognitive impairment (MCI) as a precursor of dementia with Lewy bodies (DLB) is the foc...
OBJECTIVE: Early biomarkers for dementia with Lewy bodies (DLB) are lacking. To determine whether EE...
Objective: We investigated for quantitative EEG (QEEG) differences between Alzheimer’s disease (AD),...
Quantitative EEG (QEEG) has demonstrated good discriminative capacity for dementia with Lewy bodies ...
Funder: GE Healthcare; doi: http://dx.doi.org/10.13039/100006775Abstract: Objectives: To investigate...
Electroencephalographic (EEG) abnormalities are greater in mild cognitive impairment (MCI) with Lewy...
BACKGROUND/AIM: Dementia with Lewy bodies (DLB) is probably still underdiagnosed in the clinical set...
Introduction: The reduction of background activity and the increase of low-frequency powers on elect...
Electroencephalographic (EEG) abnormalities are greater in mild cognitive impairment (MCI) with Lewy...
The diagnosis of dementia with Lewy bodies (DLB) is often challenging in elderly individuals because...
Introduction: Previous studies on electroencephalography (EEG) to discriminate between dementia with...
Introduction. An easily accessible and inexpensive neurophysiological technique such as conventional...
Introduction The aim of this study was to build a random forest classifier to improve the diagnostic...
Aims of the study: Earlier P300 studies were conducted when the prevalence of dementia with Lewy Bod...
INTRODUCTION: The aim of this study was to build a random forest classifier to improve the diagnosti...
AbstractMild cognitive impairment (MCI) as a precursor of dementia with Lewy bodies (DLB) is the foc...
OBJECTIVE: Early biomarkers for dementia with Lewy bodies (DLB) are lacking. To determine whether EE...
Objective: We investigated for quantitative EEG (QEEG) differences between Alzheimer’s disease (AD),...
Quantitative EEG (QEEG) has demonstrated good discriminative capacity for dementia with Lewy bodies ...
Funder: GE Healthcare; doi: http://dx.doi.org/10.13039/100006775Abstract: Objectives: To investigate...
Electroencephalographic (EEG) abnormalities are greater in mild cognitive impairment (MCI) with Lewy...
BACKGROUND/AIM: Dementia with Lewy bodies (DLB) is probably still underdiagnosed in the clinical set...
Introduction: The reduction of background activity and the increase of low-frequency powers on elect...
Electroencephalographic (EEG) abnormalities are greater in mild cognitive impairment (MCI) with Lewy...
The diagnosis of dementia with Lewy bodies (DLB) is often challenging in elderly individuals because...
Introduction: Previous studies on electroencephalography (EEG) to discriminate between dementia with...
Introduction. An easily accessible and inexpensive neurophysiological technique such as conventional...
Introduction The aim of this study was to build a random forest classifier to improve the diagnostic...
Aims of the study: Earlier P300 studies were conducted when the prevalence of dementia with Lewy Bod...
INTRODUCTION: The aim of this study was to build a random forest classifier to improve the diagnosti...