ArticleNPJ Parkinson's disease2024
Resting-state EEG measures cognitive impairment in Parkinson's disease.
Article in NPJ Parkinson's disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06984757 (Mid-frontal Delta/Theta and Cognitive Control), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.
What it found
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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.
Mid-frontal Delta/Theta and Cognitive Control
Who cites it
29 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- "Brain-First" vs. "Body-First" PD: Definitions and Implications in Everyday Clinical Practice: A Systematic Review.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Resting-state EEG changes associated with cognitive decline in Parkinson's disease: a systematic review.Journal of neural transmission (Vienna, Austria : 1996) · 2026Pooled it
- A task-aligned multimodal machine learning framework for studying working memory dysfunction in Parkinson's disease.Cognitive neurodynamics · 2026Article
- The Relationship Between Resting State Quantitative EEG and Daytime Sleepiness Complaints in Parkinson's Disease.Journal of sleep research · 2026Article
- A Comparison of Machine Learning Models for Classification of Parkinson's Disease During a Working Memory and Sustained Attention Task.Brain sciences · 2026Article
- Article
- A Hybrid Random Forest-SARSA Framework for Resting-State EEG-Based Parkinson's Disease Detection With Temporal Decision Refinement.Brain and behavior · 2026Article
- Modulation of Non-Rhythmic Temporal Prediction by Subthalamic Nucleus Deep Brain Stimulation (STN-DBS) in Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026Article
- Assessment of mental and behavioural non-motor symptoms of Parkinson's Disease using Artificial Intelligence (AI): a systematic review.Communications medicine · 2026Article
- Rapid Profiling of EEG Responses to Non-Invasive Brain Stimulation in Parkinson's Disease: A Biomarker-Driven Screening Framework.Biomedicines · 2026Article
- Exploring Dynamic Alpha Band Connectivity in Parkinson's Disease: A Novel Approach to Postural Control Assessment Using the BioVRSea Paradigm.Brain topography · 2026Article
- Delta-Band EEG Microstate Dynamics as Promising Candidate Markers of Central Vertigo Severity.Brain sciences · 2026Article
- MIL-O-PD: a two-stage multiple instance learning and heuristic optimization framework for unpaired multimodal Parkinson's diagnosis.Frontiers in aging neuroscience · 2026Article
- The phase average wavelength of alpha rhythm in EEG signals of patients with Parkinson's disease combined with cognitive impairment.PloS one · 2026Article
- A meta-analysis of periodic and aperiodic electrophysiological features in Parkinson's disease.Brain communications · 2026Review
- Digital Therapeutics for Alzheimer's and Parkinson's Diseases: Current Trends and Future Perspectives.Medicinal research reviews · 2026Review
- EEG Sensor-Based Parkinson's Disease Detection Using a Multi-Domain Feature Fusion Network.Sensors (Basel, Switzerland) · 2025Article
- Disruption of low-frequency narrowband EEG microstate networks in Parkinson's disease with mild cognitive impairment.Journal of neuroengineering and rehabilitation · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- Resting-State EEG Alpha Asymmetry as a Potential Marker of Clinical Features in Parkinson's Disease.Journal of personalized medicine · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Cognitive dysfunction is common in Parkinson's disease (PD). We developed and evaluated an EEG-based biomarker to index cognitive functions in PD from a few minutes of resting-state EEG. We hypothesized that synchronous changes in EEG across the power spectrum can measure cognition. We optimized a data-driven algorithm to efficiently capture these changes and index cognitive function in 100 PD and 49 control participants. We compared our EEG-based cognitive index with the Montreal cognitive assessment (MoCA) and cognitive tests across different domains from National Institutes of Health (NIH) Toolbox using cross-validations, regression models, and randomization tests. Finally, we externally validated our approach on 32 PD participants. We observed cognition-related changes in EEG over multiple spectral rhythms. Utilizing only 8 best-performing electrodes, our proposed index strongly correlated with cognition (MoCA: rho = 0.68, p value < 0.001; NIH-Toolbox cognitive tests: rho ≥ 0.56, p value < 0.001) outperforming traditional spectral markers (rho = -0.30-0.37). The index showed a strong fit in regression models (R
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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.