This title appears in the Scientific Report :
2017
Movement-related delta-theta synchronization in young and elderly healthy subjects.
Movement-related delta-theta synchronization in young and elderly healthy subjects.
P229 Movement-related delta-theta synchronization in young and elderly healthy subjectsSilvia Daun1,2, Svitlana Popovych1,2, Liqing Liu1,2, Bin A. Wang1, Tibor I. Tóth2, Christian Grefkes1,3, Gereon R. Fink1,3, Nils Rosjat1,21Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Re...
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Personal Name(s): | Daun, S. (Corresponding author) |
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Popovych, S. / Liu, L. / Wang, Bin / Toth, T. I. / Grefkes, C. / Fink, G. R. / Rosjat, N. | |
Contributing Institute: |
Kognitive Neurowissenschaften; INM-3 |
Imprint: |
2017
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Conference: | CNS 2017, 26th Annual Computational Neuroscience Meeting, Antwerpen (Belgien), 2017-07-15 - 2017-07-20 |
Document Type: |
Abstract |
Research Program: |
(Dys-)function and Plasticity |
Publikationsportal JuSER |
P229 Movement-related delta-theta synchronization in young and elderly healthy subjectsSilvia Daun1,2, Svitlana Popovych1,2, Liqing Liu1,2, Bin A. Wang1, Tibor I. Tóth2, Christian Grefkes1,3, Gereon R. Fink1,3, Nils Rosjat1,21Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Research Center Juelich, Juelich, 52428 Germany; 2Heisenberg Research Group of Computational Neuroscience - Modeling Neural Network Function, Department of Animal Physiology, Institute of Zoology, University of Cologne, Cologne, 50674, Germany; 3Department of Neurology, University Hospital Cologne, Cologne, 50937, GermanyCorrespondence: Silvia Daun (silvia.daun@uni-koeln.de)BMC Neuroscience 2017, 18 (Suppl 1):P229The wealth of data showing that human motor performance is affected by normal ageing is contrasted by the dearth of data on ageing effects on the neural processes underlying action. For example, it remains to be elucidated how the different phases of an action (i.e., preparation, initiation and execution) are expressed in neural oscillations and how these are affected by normal ageing. The interest in ageing-related changes of motor performance and the neural basis thereof are governed by the quest for more detailed insights into the possible reorganization of the key phases of an action. For this reason, it is apt and timely to study ageing-dependent effects on the neural organization of motor performance in more detail. The crucial point of such investigations is the study of synchronization, a key mechanism underlying the coordination of distinct neural populations in shaping complex motor tasks.In an earlier EEG-study [1] on young adults, we found that when generating unilateral index-finger movements, local oscillations in the δ-θ frequency band over the centroparietal, central and frontocentral regions (corresponding to the primary motor area (M1), the supplementary motor area (SMA) and the pre-motor area (PM), respectively) exhibited robust phase locking both prior to and during the movement. The local oscillations were most pronounced in the hemisphere contralateral to the moving hand in both externally and internally triggered actions. A subsequent study [2] using an identical experimental paradigm with a population of older adults found that the local phase locking in the δ-θ frequency band was also present during the motor acts of the older participants.To investigate the neural processes underlying ageing-related dependence of the motor performance in more detail, we employed inter-regional phase-locking analysis by calculating the phase-locking values (PLVs) from the EEG records of the two data sets mentioned above. PLV measures the extent of instantaneous synchronization between two distinct brain regions.Our analysis revealed significant PLV in both age groups in the δ-θ frequencies around movement onset. Invariant sub-networks were established by strong PLV between brain areas involved in the motor act, which were different in older and younger subjects. More intra- and inter-hemispheric PLVs occurred in older than in younger subjects. Furthermore, data suggest that older subjects compensate for the diminished connectivity observed between contralateral M1 and SMA, and ipsilateral PM and SMA during movement preparation and execution by establishing additional intra- and inter- hemispheric connections.Based on the above findings on local and inter-regional phase locking, we built a mathematical model consisting of phase oscillators representing two main regions of the motor network, i.e. SMA and M1. This simple model is capable of reproducing the effects of increased PLI and, independently of this, the effect of increased PLV between both regions. After extending the network model to all core motor regions and fitting the model parameters to the experimental data it will serve as a tool to make predictions on disturbed networks dynamics, e.g. decoupling of nodes.References1. Popovych S, Rosjat N, Tóth TI, Wang BA, Liu L, Abdollahi RO, Viswanathan S, Grefkes C, Fink GR, Daun S: Movement-related phase locking in the delta-theta frequency band. NeuroImage 2016, 139: 439–449.2. Liu L, Rosjat N, Popovych S, Yeldesbay A, Wang BA, Tóth TI, Grefkes C, Fink GR, Daun S: Movement related intra-regional phase locking in the delta-theta frequency band in young and elderly subjects. Program No. 624.08. 2016. Neuroscience Meeting Planner. San Diego, CA: Society for Neuroscience, 2016. Online. |