npj Parkinson s DiseaseNeurosciencePeer-reviewed journal article
Cortex-wide topography of 1/f-exponent in Parkinson's disease
Pascal HelsoniD, Daniel LundqvistiD, Per SvenningssoniD, Mikkel C. VindingiD, Arvind KumariD
Abstract
Parkinsons Disease causes progressive and debilitating changes to the brain as well as to the mind. While the diagnostic hallmark features are the characteristic movement-related symptoms, the disease also causes decline in sensory processing, cognitive, emotional performance and most patients develop dementia over time. The extent of symptoms and the brain-wide projections of neuromodulators such as dopamine suggest that many brain regions are simultaneously affected in Parkinsons disease. To characterise such disease-related and brain-wide changes in neuronal function, we performed a source level analysis of resting state magnetoencephalogram (MEG) from two groups: Parkinsons disease patients and healthy controls. Besides standard spectral analysis, we quantified the aperiodic component of the neural activity by fitting a power law ({kappa}/f {lambda}) to the MEG spectrum and then studied its relationship with age and UPDRS. Consistent with previous results, the most significant spectral changes were observed in the high theta/low alpha band (7-10 Hz) in all brain regions. Furthermore, analysis of the aperiodic part of the spectrum showed that, in all but frontal regions, {lambda} was significantly larger in Parkinsons disease patients than in control subjects. Our results indicate for the first time that Parkinsons disease is associated with significant changes in population activity across the whole neocortex. Surprisingly, even early sensory areas showed a significantly larger {lambda} in patients than in healthy controls. Moreover, {lambda} was not affected by the L-dopa medication. Finally, {lambda} was positively correlated with patient age but not with UPDRS-III (summary measure of motor symptoms clinical rating). Because {lambda} is closely associated excitationinhibition balance, our results propose new hypotheses about manifestation of Parkinsons disease in cortical networks.
- organism: human
- assay: electronic health records
- research focus: differential expression
- approach: statistical model
- Citations
- 39
- FWCI
- 6.62
- Field percentile
- top 2%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A meta-analysis of periodic and aperiodic M/EEG components in Parkinson's disease
Hamzeh Norouzi, Magdalena Ietswaart, … Gemma Learmonth·bioRxiv·Jul 7, 2025
- Medication-Invariant Resting Aperiodic and Periodic Neural Activity in Parkinson's Disease
Daniel J. McKeown, Manon Jones, … Douglas J. Angus·PsychophysiologyPeer-reviewed·Nov 8, 2023
- Reduction of spontaneous cortical beta bursts in Parkinson’s disease is linked to symptom severity
Mikkel C. Vinding, Panagiota Tsitsi, … Daniel Lundqvist·Brain CommunicationsPeer-reviewed·Jan 1, 2020
- The aperiodic exponent of subthalamic field potentials reflects excitation/inhibition balance in Parkinsonism: a cross-species study in vivo
Christoph Wiest, Flavie Torrecillos, … Huiling Tan·eLifePeer-reviewed·Feb 22, 2023
- Changes in electrophysiological aperiodic activity during cognitive control in Parkinson's disease
Noémie Monchy, Julien Modolo, … Joan Duprez·Brain CommunicationsPeer-reviewed·Jan 1, 2024
- Attenuated beta rebound to proprioceptive afferent feedback in Parkinson’s disease
Mikkel C. Vinding, Panagiota Tsitsi, … Daniel Lundqvist·Scientific ReportsPeer-reviewed·Feb 22, 2019