ArticleCognitive neurodynamics2017
Complexity of resting-state EEG activity in the patients with early-stage Parkinson's disease.
Article in Cognitive neurodynamics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 64 citations in OpenAlex.
- Trial
- Task-specific dynamical entropy variations in EEG as a biomarker for Parkinson's disease progression.GeroScience · 2026Article
- Digital Therapeutics for Alzheimer's and Parkinson's Diseases: Current Trends and Future Perspectives.Medicinal research reviews · 2026Review
- EEG features associated with Alzheimer's disease and Frontotemporal dementia are not reflected by processed indices used in anesthesia monitoring.Journal of clinical monitoring and computing · 2025Article
- Article
- EEG entropy insights in the context of physiological aging and Alzheimer's and Parkinson's diseases: a comprehensive review.GeroScience · 2024Review
- A novel nonlinear bispectrum analysis for dynamical complex oscillations.Cognitive neurodynamics · 2024Article
- Revisiting the Characterization of Resting Brain Dynamics with the Permutation Jensen-Shannon Distance.Entropy (Basel, Switzerland) · 2024Article
- An interpretable model based on graph learning for diagnosis of Parkinson's disease with voice-related EEG.NPJ digital medicine · 2024Article
- Brain complexity in stroke recovery after bihemispheric transcranial direct current stimulation in mice.Brain communications · 2024Article
- Article
- Spatio-Temporal Fractal Dimension Analysis from Resting State EEG Signals in Parkinson's Disease.Entropy (Basel, Switzerland) · 2023Article
- Analysis of complexity in the EEG activity of Parkinson's disease patients by means of approximate entropy.GeroScience · 2022Article
- Weighted Brain Network Analysis on Different Stages of Clinical Cognitive Decline.Bioengineering (Basel, Switzerland) · 2022Article
- A survey of brain network analysis by electroencephalographic signals.Cognitive neurodynamics · 2022Article
- Parkinson's disease is characterized by sub-second resting-state spatio-oscillatory patterns: A contribution from deep convolutional neural network.NeuroImage. Clinical · 2022Article
- Graph Theory on Brain Cortical Sources in Parkinson's Disease: The Analysis of 'Small World' Organization from EEG.Sensors (Basel, Switzerland) · 2021Article
- A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson's disease.Journal of neuroscience methods · 2021Article
- EEG power spectral density in locked-in and completely locked-in state patients: a longitudinal study.Cognitive neurodynamics · 2021Article
- Interaction of Indirect and Hyperdirect Pathways on Synchrony and Tremor-Related Oscillation in the Basal Ganglia.Neural plasticity · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To investigate the abnormal brain activities in the early stage of Parkinson's disease (PD), the electroencephalogram (EEG) signals were recorded with 20 channels from non-dementia PD patients (18 patients, 8 females) and age matched healthy controls (18 subjects, 8 females) during the resting state. Two methods based on the ordinal patterns of the recorded series, i.e., permutation entropy (PE) and order index (OI), were introduced to characterize the complexity of the cortical activities for two groups. It was observed that the resting-state EEG of PD patients showed lower PE and higher OI than healthy controls, which indicated that the early-stage PD caused the reduced complexity of EEG. We further applied two methods to determine the complexity of EEG rhythms in five sub-bands. The results showed that the gamma, beta and alpha rhythms of PD patients were characterized by lower PE and higher OI, i.e., reduced complexity, than healthy subjects. No significant differences were observed in theta or delta rhythms between two groups. The findings suggested that PE and OI were promising methods to detect the abnormal changes in the dynamics of EEG signals associated with early-stage PD. Further, such changes in EEG complexity may be the early markers of the cortical or subcortical dysfunction caused by PD.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.