ArticleBrain communications2024
Changes in electrophysiological aperiodic activity during cognitive control in Parkinson's disease.
Article in Brain communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Aperiodic Neural Activity in Clinical Investigations.The European journal of neuroscience · 2025Pooled it
- Long-term reliability and stability of parameterized resting state EEG: evidence from a five-year follow-up.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Magnetoencephalography-based prediction of longitudinal symptom progression in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- A meta-analysis of periodic and aperiodic electrophysiological features in Parkinson's disease.Brain communications · 2026Review
- Analysis of aperiodic activity in obsessive-compulsive disorder and major depression.Scientific reports · 2025Article
- Article
- Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- The Dynamic Management of Working Memory Is Supported by Aperiodic Neural Activity.Psychophysiology · 2025Article
- Metacontrol-related aperiodic neural activity decreases but strategic adjustment thereof increases from childhood to adulthood.Scientific reports · 2025Article
- Catecholaminergic Modulation of Metacontrol Is Reflected in Aperiodic EEG Activity and Predicted by Baseline GABA+ and Glx Concentrations.Human brain mapping · 2025Article
- Task-induced 1/f slope modulation as a paradigm-independent marker of cognitive control in multiple sclerosis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Review
- Resting state electroencephalography alpha activity predicts cognitive scores in rapid eye movement sleep behavior disorder.Sleep advances : a journal of the Sleep Research Society · 2025Article
- Slowing of Parameterized Resting-State Electroencephalography After Mild Traumatic Brain Injury.Neurotrauma reports · 2024Article
- Beta bursts spatiotemporal profiles and their links to hemodynamic responses during movement and rest.Imaging neuroscience (Cambridge, Mass.)Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cognitive symptoms in Parkinson's disease are common and can significantly affect patients' quality of life. Therefore, there is an urgent clinical need to identify a signature derived from behavioural and/or neuroimaging indicators that could predict which patients are at increased risk for early and rapid cognitive decline. Recently, converging evidence identified that aperiodic activity of the EEG reflects meaningful physiological information associated with age, development, cognitive and perceptual states or pathologies. In this study, we aimed to investigate aperiodic activity in Parkinson's disease during cognitive control and characterize its possible association with behaviour. Here, we recorded high-density EEG in 30 healthy controls and 30 Parkinson's disease patients during a Simon task. We analysed task-related behavioural data in the context of the activation-suppression model and extracted aperiodic parameters (offset, exponent) at both scalp and source levels. Our results showed lower behavioural performances in cognitive control as well as higher offsets in patients in the parieto-occipital areas, suggesting increased excitability in Parkinson's disease. A small congruence effect on aperiodic parameters in pre- and post-central brain areas was also found, possibly associated with task execution. Significant differences in aperiodic parameters between the resting-state, pre- and post-stimulus phases were seen across the whole brain, which confirmed that the observed changes in aperiodic activity are linked to task execution. No correlation was found between aperiodic activity and behaviour or clinical features. Our findings provide evidence that EEG aperiodic activity in Parkinson's disease is characterized by greater offsets, and that aperiodic parameters differ depending on arousal state. However, our results do not support the hypothesis that the behaviour-related differences observed in Parkinson's disease are related to aperiodic changes. Overall, this study highlights the importance of considering aperiodic activity contributions in brain disorders and further investigating the relationship between aperiodic activity and behaviour.
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