Abstract
Parkinson’s disease is marked by an elevated neural synchrony in the cortico-basal ganglia circuits in the beta frequency band. This elevated synchrony has been associated with Parkinsonian hypokinetic symptoms. The application of recently developed synchronization analysis techniques allows us to investigate the temporal dynamics of synchrony on different time scales. The results of this analysis are summarized here, revealing highly variable dynamics of synchronized neural activity on multiple time scales and its association with disease.
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Acknowledgments
This paper was supported by the ICTSI/Indiana University Health–IU School of Medicine Strategic Research Initiative, the National Science Foundation Grant DMS 1813819, and National Science Foundation Grant HRD 1700199.
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Ahn, S., Park, C., Rubchinsky, L.L. (2019). Neural Synchronization in Parkinson’s Disease on Different Time Scales. In: Cutsuridis, V. (eds) Multiscale Models of Brain Disorders. Springer Series in Cognitive and Neural Systems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-18830-6_6
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DOI: https://doi.org/10.1007/978-3-030-18830-6_6
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