Effective deep brain stimulation co-modulate cross-frequency coupling [Abstract]

  • Objective: The disruption of pathological signals in the cortico-basal ganglia- network has been hypothesized as a mechanism of action of deep brain stimulation (DBS). However, a comprehensive model for DBS modulating oscillations is still missing. Background: Besides considering gamma as physiologic and pro-kinetic, it has been suggested that finely tuned gamma oscillations between 60-90Hz reflect dynamic processing, possibly by inducing local inhibition or facilitation. Most studies investigating gamma focused on oscillations within the STN, motor cortex (M1), supplementary motor area (SMA), and the pallidum (Allert et al., 2018). Furthermore, elements of the BG-thalamocortical network like the premotor (PMC) or prefrontal cortices (PFC) and the sub-cortical network of cerebellum (CB) have been neglected to date. Method: We recorded resting state high-density 256-channels EEG of 31 PD-patients during DBS at the clinically most effective frequency (i.e 130Hz or 160Hz). WeObjective: The disruption of pathological signals in the cortico-basal ganglia- network has been hypothesized as a mechanism of action of deep brain stimulation (DBS). However, a comprehensive model for DBS modulating oscillations is still missing. Background: Besides considering gamma as physiologic and pro-kinetic, it has been suggested that finely tuned gamma oscillations between 60-90Hz reflect dynamic processing, possibly by inducing local inhibition or facilitation. Most studies investigating gamma focused on oscillations within the STN, motor cortex (M1), supplementary motor area (SMA), and the pallidum (Allert et al., 2018). Furthermore, elements of the BG-thalamocortical network like the premotor (PMC) or prefrontal cortices (PFC) and the sub-cortical network of cerebellum (CB) have been neglected to date. Method: We recorded resting state high-density 256-channels EEG of 31 PD-patients during DBS at the clinically most effective frequency (i.e 130Hz or 160Hz). We compared spectral power and cross-frequency coupling (frequency to power) of cortical and subcortical regions using a beamformer algorithm for coherent sources (Muthuraman et al., 2018). Two clinically ineffective frequencies have been tested as control conditions. Results: We demonstrated that clinically effective STN-DBS alters oscillatory activity in a wide-spread network of cortical and subcortical regions. A reduction of beta and increase of gamma power is attested in the cortical (M1, SMA, PMC, PFC) and sub-cortical network nodes (STN, CB). Additionally, we found increased cross-frequency coupling of narrowband gamma frequencies to the stimulation frequency in the same nodes of the cortico-subcortical network. No such dynamics were revealed within control regions (i.e. posterior parietal cortex). Furthermore, stimulating at lower or higher frequencies did not significantly alter the networks’ source power spectra or cross-frequency coupling. Conclusion: We were able to show a modulation of beta- and gamma-power and cross-frequency coupling during DBS with HD-EEG in a cortical-sub cortical network. DBS does not exclusively influence motor-function but also the physiological processing related to facilitation and dynamic adaptation, in line with the proposed function of gamma oscillations.show moreshow less

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Metadaten
Author:S. Groppa, M. Glaser, N. Koirala, M. Bange, Muthuraman MuthuramanORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1109707
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/110970
ISSN:0885-3185OPAC
Parent Title (English):Movement Disorders
Publisher:Wiley
Place of publication:Weinheim
Type:Article
Language:English
Year of first Publication:2019
Publishing Institution:Universität Augsburg
Release Date:2024/01/30
Volume:34
Issue:S2
First Page:S816
DOI:https://doi.org/10.1002/mds.27795
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Informatik in der Medizintechnik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht