2019
DOI: 10.1016/j.neurobiolaging.2018.08.010
|View full text |Cite
|
Sign up to set email alerts
|

Levodopa may affect cortical excitability in Parkinson's disease patients with cognitive deficits as revealed by reduced activity of cortical sources of resting state electroencephalographic rhythms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

3
27
3
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
7
1

Relationship

1
7

Authors

Journals

citations
Cited by 32 publications
(34 citation statements)
references
References 68 publications
3
27
3
1
Order By: Relevance
“…A further potential limitation is the use of dopaminergic medication in many LBD patients which has also been shown to influence EEG signals by increasing eyesclosed alpha power [46,47]. However, we did not find differences between LBD patients who were taking dopaminergic medication compared to those patients not taking these medications, and there were no significant correlations between LEDD and the EEG measures included in the present study.…”
Section: Discussioncontrasting
confidence: 70%
“…A further potential limitation is the use of dopaminergic medication in many LBD patients which has also been shown to influence EEG signals by increasing eyesclosed alpha power [46,47]. However, we did not find differences between LBD patients who were taking dopaminergic medication compared to those patients not taking these medications, and there were no significant correlations between LEDD and the EEG measures included in the present study.…”
Section: Discussioncontrasting
confidence: 70%
“…The relative bandpower in α band showed a decreasing trend in the longitudinal changes from PD-CogNl to PD-MCI to PDD as well as cortical changes were observed in PD patients (Babiloni et al, 2011(Babiloni et al, , 2019Caviness et al, 2016). PD patients had lower occipital α source compared to HC whilst PDD patients showed increased frontal-temporal α source and abnormal sources of posterior cortical β1 rhythm (Soikkeli et al, 1991;Babiloni et al, 2011Babiloni et al, , 2019. As the changes of β band power are related to gait initiation failure (GIF) events, abnormal β oscillation may be a biomarker of motor impairment in PD patients (Palmer et al, 2010;Quynh Tran et al, 2016).…”
Section: Eeg Spectral Characteristicsmentioning
confidence: 90%
“…The diminished β power ERD and prolonged β ERS in an attentional experiment suggest that the coupling between attention and motor preparation was impaired in PD-FOG (Tard et al, 2016). The relative bandpower in α band showed a decreasing trend in the longitudinal changes from PD-CogNl to PD-MCI to PDD as well as cortical changes were observed in PD patients (Babiloni et al, 2011(Babiloni et al, , 2019Caviness et al, 2016). PD patients had lower occipital α source compared to HC whilst PDD patients showed increased frontal-temporal α source and abnormal sources of posterior cortical β1 rhythm (Soikkeli et al, 1991;Babiloni et al, 2011Babiloni et al, , 2019.…”
Section: Eeg Spectral Characteristicsmentioning
confidence: 91%
“…Three of the studies that split alpha into lower and upper frequencies found less lower alpha power in people with PD-MCI compared to cognitively healthy PD patients (Babiloni et al [101], n = 35 PD-D, 50 PD-MCI, 35 PD-CH; Bousleiman et al [102], n = 41 PD-MCI, 12 PD-CH) and in people with DLB-MCI compared to cognitively healthy older adults (Babiloni et al [103], n = 23 DLB-MCI, 30 OA). Babiloni et al also observed less upper alpha power in people with DLB-MCI compared to cognitively healthy older adults (Babiloni et al [103], n = 23 DLB-MCI, 30 OA), but more upper alpha power in people with PD-MCI compared to cognitively healthy PD patients and in people with PD-D compared to those with PD-MCI (Babiloni et al [101], n = 35 PD-D, 50 PD-MCI, 35 PD-CH). The latter study was the only one that investigated alpha power in PD-MCI in individually defined alpha bands.…”
Section: Alpha Power and Functional Connectivity During Wakeful Restmentioning
confidence: 99%
“…We also observed that EEG was mostly recorded with a small number of electrodes, which could lead to imprecise measures of alpha power and connectivity in source space, and alpha connectivity in sensor space. Most studies that measured alpha at reconstructed sources used 19 or 20 electrodes [56,72,81,89,94,98,101,103,110,115,207], which is, according to COBIDAS-MEEG guidelines [82], not sufficient for precise source localization. Furthermore, when connectivity is measured in sensor space with a small number of electrodes and without spatial filters, it can lead to spurious connections.…”
Section: Limitations and Future Directionsmentioning
confidence: 99%