We sought to define quantitative electroencephalographic (EEG) measures as biomarkers of both early and late cognitive decline in Parkinson\u27s disease (PD). PD subjects classified as cognitively normal (PD-CogNL), mild cognitive impairment (PD-MCI), and dementia (PD-D) were studied. Cognitive status and neuropsychological testing was correlated with background rhythm and frequency band EEG power across five frequency bands. We conclude that global EEG measures have potential use as biomarkers in the study of both early and late cognitive deterioration in PD, including for evaluating its treatment. PD-MCI has mean quantitative EEG characteristics that represent an intermediate electrophysiological state between PD-CogNL and PD-D. © 2007 El...
The research on the abnormalities of event-related oscillations in Parkinson's disease (PD) was most...
<b><i>Background:</i></b> Cognitive deficits in Parkinson's disease (PD) are heterogeneous and can b...
OBJECTIVE To assess the relevance of Quantitative electroencephalography (qEEG) measures as outcomes...
Background: QEEG could provide physiological biomarkers for changes over time in Parkinson\u27s dise...
Background: Slowing of the electroencephalogram (EEG) is frequent in Parkinson's (PD) and Alzheimer'...
Parkinson's Disease Dementia (PD-D) is one of the most important non-motor signs in advanced PD and ...
Objective: We evaluated quantitative EEG (QEEG) measures as predictive biomarkers for the developmen...
The pathophysiological mechanisms of Parkinson's disease (PD)-related dementia (PDD) are still poorl...
Cognitive decline is common with the progression of Parkinson’s disease (PD). Different candidate bi...
Background and purpose: It is believed that progressive Lewy-type synucleinopathy (LTS) is primarily...
In this study, we aim to assess and examine cognitive functions in Parkinson’s Disease patients usin...
Introduction: Parkinson's Disease (PD) is frequently associated with cognitive dysfunction ranging f...
OBJECTIVE: To assess the relevance of quantitative EEG (qEEG) measures as outcomes of disease severi...
Parkinson's disease (PD) is a neurodegenerative disease that is characterized by loss of dopaminergi...
OBJECTIVE: Mild cognitive impairment in Parkinson's disease (PD-MCI) is diagnosed based on the resul...
The research on the abnormalities of event-related oscillations in Parkinson's disease (PD) was most...
<b><i>Background:</i></b> Cognitive deficits in Parkinson's disease (PD) are heterogeneous and can b...
OBJECTIVE To assess the relevance of Quantitative electroencephalography (qEEG) measures as outcomes...
Background: QEEG could provide physiological biomarkers for changes over time in Parkinson\u27s dise...
Background: Slowing of the electroencephalogram (EEG) is frequent in Parkinson's (PD) and Alzheimer'...
Parkinson's Disease Dementia (PD-D) is one of the most important non-motor signs in advanced PD and ...
Objective: We evaluated quantitative EEG (QEEG) measures as predictive biomarkers for the developmen...
The pathophysiological mechanisms of Parkinson's disease (PD)-related dementia (PDD) are still poorl...
Cognitive decline is common with the progression of Parkinson’s disease (PD). Different candidate bi...
Background and purpose: It is believed that progressive Lewy-type synucleinopathy (LTS) is primarily...
In this study, we aim to assess and examine cognitive functions in Parkinson’s Disease patients usin...
Introduction: Parkinson's Disease (PD) is frequently associated with cognitive dysfunction ranging f...
OBJECTIVE: To assess the relevance of quantitative EEG (qEEG) measures as outcomes of disease severi...
Parkinson's disease (PD) is a neurodegenerative disease that is characterized by loss of dopaminergi...
OBJECTIVE: Mild cognitive impairment in Parkinson's disease (PD-MCI) is diagnosed based on the resul...
The research on the abnormalities of event-related oscillations in Parkinson's disease (PD) was most...
<b><i>Background:</i></b> Cognitive deficits in Parkinson's disease (PD) are heterogeneous and can b...
OBJECTIVE To assess the relevance of Quantitative electroencephalography (qEEG) measures as outcomes...