Changes in electrophysiological aperiodic activity during cognitive control in Parkinson's disease.

Autor:	Monchy N; LTSI-U1099, University of Rennes, Rennes F-35000, France., Modolo J; LTSI-U1099, University of Rennes, Rennes F-35000, France., Houvenaghel JF; LTSI-U1099, University of Rennes, Rennes F-35000, France.; Department of Neurology, Rennes University Hospital, Rennes 35033, France., Voytek B; Department of Cognitive Science, Halıcıoğlu Data Science Institute, University of California, San Diego, La Jolla, CA, USA., Duprez J; LTSI-U1099, University of Rennes, Rennes F-35000, France.
Jazyk:	angličtina
Zdroj:	Brain communications [Brain Commun] 2024 Sep 07; Vol. 6 (5), pp. fcae306. Date of Electronic Publication: 2024 Sep 07 (Print Publication: 2024).
DOI:	10.1093/braincomms/fcae306
Abstrakt:	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. Competing Interests: The authors report no competing interests. (© The Author(s) 2024. Published by Oxford University Press on behalf of the Guarantors of Brain.)
Databáze:	MEDLINE
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