OBJECTIVE To assess the relevance of Quantitative electroencephalography (qEEG) measures as outcomes of disease severity and progression in PD. METHODS Main databases were systematically searched (January 2018) for studies of sufficient methodological quality that examined correlations between clinical symptoms of idiopathic PD and cortical (surface) qEEG metrics. RESULTS Thirty-six out of 605 identified studied were included. Results were classified into four domains: cognition (23 studies), motor function (13 studies), effect of treatment (7 studies), and other (10 studies). In cross-sectional studies, EEG slowing correlated with global cognitive impairment and with diffuse deterioration in other domains. In longitudinal studies, decrease...
Background: Quantitative electroencephalography (qEEG) has been suggested as a biomarker for cogniti...
To identify quantitative EEG frequency and connectivity features (Phase Lag Index) characteristic of...
<i>Background/Aims:</i> Dementia biomarkers that are accessible and easily applicable in nonspeciali...
OBJECTIVE To assess the relevance of Quantitative electroencephalography (qEEG) measures as outcomes...
OBJECTIVE: To assess the relevance of quantitative EEG (qEEG) measures as outcomes of disease severi...
<b><i>Background:</i></b> Cognitive deficits in Parkinson's disease (PD) are heterogeneous and can b...
Background: QEEG could provide physiological biomarkers for changes over time in Parkinson\u27s dise...
Cognitive decline is common with the progression of Parkinson’s disease (PD). Different candidate bi...
Objective: We evaluated quantitative EEG (QEEG) measures as predictive biomarkers for the developmen...
Background and purpose: It is believed that progressive Lewy-type synucleinopathy (LTS) is primarily...
8noOver the years motor deficit in Parkinson's Disease (PD) patients was largely studied, however, n...
OBJECTIVE: Mild cognitive impairment in Parkinson's disease (PD-MCI) is diagnosed based on the resul...
OBJECTIVE: In Parkinson's Disease (PD), measures of non-dopaminergic systems involvement may reflect...
To access publisher's full text version of this article click on the hyperlink at the bottom of the ...
We sought to define quantitative electroencephalographic (EEG) measures as biomarkers of both early ...
Background: Quantitative electroencephalography (qEEG) has been suggested as a biomarker for cogniti...
To identify quantitative EEG frequency and connectivity features (Phase Lag Index) characteristic of...
<i>Background/Aims:</i> Dementia biomarkers that are accessible and easily applicable in nonspeciali...
OBJECTIVE To assess the relevance of Quantitative electroencephalography (qEEG) measures as outcomes...
OBJECTIVE: To assess the relevance of quantitative EEG (qEEG) measures as outcomes of disease severi...
<b><i>Background:</i></b> Cognitive deficits in Parkinson's disease (PD) are heterogeneous and can b...
Background: QEEG could provide physiological biomarkers for changes over time in Parkinson\u27s dise...
Cognitive decline is common with the progression of Parkinson’s disease (PD). Different candidate bi...
Objective: We evaluated quantitative EEG (QEEG) measures as predictive biomarkers for the developmen...
Background and purpose: It is believed that progressive Lewy-type synucleinopathy (LTS) is primarily...
8noOver the years motor deficit in Parkinson's Disease (PD) patients was largely studied, however, n...
OBJECTIVE: Mild cognitive impairment in Parkinson's disease (PD-MCI) is diagnosed based on the resul...
OBJECTIVE: In Parkinson's Disease (PD), measures of non-dopaminergic systems involvement may reflect...
To access publisher's full text version of this article click on the hyperlink at the bottom of the ...
We sought to define quantitative electroencephalographic (EEG) measures as biomarkers of both early ...
Background: Quantitative electroencephalography (qEEG) has been suggested as a biomarker for cogniti...
To identify quantitative EEG frequency and connectivity features (Phase Lag Index) characteristic of...
<i>Background/Aims:</i> Dementia biomarkers that are accessible and easily applicable in nonspeciali...