The effects of levodopa and ongoing deep brain stimulation on subthalamic beta oscillations in Parkinson's disease

2010 ◽  
Vol 226 (1) ◽  
pp. 120-127 ◽  
Author(s):  
Gaia Giannicola ◽  
Sara Marceglia ◽  
Lorenzo Rossi ◽  
Simona Mrakic-Sposta ◽  
Paolo Rampini ◽  
...  
2018 ◽  
Vol 38 (19) ◽  
pp. 4556-4568 ◽  
Author(s):  
Doris D. Wang ◽  
Coralie de Hemptinne ◽  
Svjetlana Miocinovic ◽  
Jill L. Ostrem ◽  
Nicholas B. Galifianakis ◽  
...  

2021 ◽  
Author(s):  
Elie M Adam ◽  
Emery N. Brown ◽  
Nancy Kopell ◽  
Michelle M McCarthy

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is highly effective in alleviating movement disability in patients with Parkinson's disease (PD). However, its therapeutic mechanism of action is unknown. The healthy striatum exhibits rich dynamics resulting from an interaction of beta, gamma and theta oscillations. These rhythms are at the heart of selection, initiation and execution of motor programs, and their loss or exaggeration due to dopamine (DA) depletion in PD is a major source of the behavioral deficits observed in PD patients. Interrupting abnormal rhythms and restoring the interaction of rhythms as observed in the healthy striatum may then be instrumental in the therapeutic action of DBS. We develop a biophysical networked model of a BG pathway to study how abnormal beta oscillations can emerge throughout the BG in PD, and how DBS can restore normal beta, gamma and theta striatal rhythms. Our model incorporates STN projections to the striatum, long known but understudied, that were recently shown to preferentially target fast spiking interneurons (FSI) in the striatum. We find that DBS in STN is able to normalize striatal medium spiny neuron (MSN) activity by recruiting FSI dynamics, and restoring the inhibitory potency of FSIs observed in normal condition. We also find that DBS allows the re-expression of gamma and theta rhythms, thought to be dependent on high DA levels and thus lost in PD, through cortical noise control. Our study shows how BG connectivity can amplify beta oscillations, and delineates the role of DBS in disrupting beta oscillations and providing corrective input to STN efferents to restore healthy striatal dynamics. It also suggests how gamma oscillations can be leveraged to enhance or supplement DBS treatment and improve its effectiveness.


Neurosignals ◽  
2011 ◽  
Vol 19 (3) ◽  
pp. 151-162 ◽  
Author(s):  
Manuela Rosa ◽  
Gaia Giannicola ◽  
Domenico Servello ◽  
Sara Marceglia ◽  
Claudio Pacchetti ◽  
...  

2021 ◽  
Author(s):  
David Escobar Sanabria ◽  
Joshua E Aman ◽  
Valentina Zapata Amaya ◽  
Luke A Johnson ◽  
Hafsa Farooqi ◽  
...  

Approaches to control basal ganglia neural activity in real-time are needed to clarify the causal role of 8-35 Hz ("beta band") oscillatory dynamics in the manifestation of Parkinson's disease (PD) motor signs. Here, we show that resonant beta oscillations evoked by electrical stimulation with precise amplitude and timing can be used to predictably suppress or amplify spontaneous beta band activity in the internal segment of the globus pallidus (GPi) in the human. Using this approach, referred to as closed-loop evoked interference deep brain stimulation (eiDBS), we could suppress or amplify frequency-specific (16-22 Hz) neural activity in a PD patient. Amplification of targeted oscillations led to an increase in the variance of motor tracking delays, supporting the hypothesis that pallidal beta oscillations are linked to motor performance. Our results highlight the utility of eiDBS to characterize the pathophysiology of PD and other brain conditions in the human and develop personalized neuromodulation therapies.


2021 ◽  
Vol 17 (7) ◽  
pp. e1009116
Author(s):  
Benoit Duchet ◽  
Filippo Ghezzi ◽  
Gihan Weerasinghe ◽  
Gerd Tinkhauser ◽  
Andrea A. Kühn ◽  
...  

Parkinson’s disease motor symptoms are associated with an increase in subthalamic nucleus beta band oscillatory power. However, these oscillations are phasic, and there is a growing body of evidence suggesting that beta burst duration may be of critical importance to motor symptoms. This makes insights into the dynamics of beta bursting generation valuable, in particular to refine closed-loop deep brain stimulation in Parkinson’s disease. In this study, we ask the question “Can average burst duration reveal how dynamics change between the ON and OFF medication states?”. Our analysis of local field potentials from the subthalamic nucleus demonstrates using linear surrogates that the system generating beta oscillations is more likely to act in a non-linear regime OFF medication and that the change in a non-linearity measure is correlated with motor impairment. In addition, we pinpoint the simplest dynamical changes that could be responsible for changes in the temporal patterning of beta oscillations between medication states by fitting to data biologically inspired models, and simpler beta envelope models. Finally, we show that the non-linearity can be directly extracted from average burst duration profiles under the assumption of constant noise in envelope models. This reveals that average burst duration profiles provide a window into burst dynamics, which may underlie the success of burst duration as a biomarker. In summary, we demonstrate a relationship between average burst duration profiles, dynamics of the system generating beta oscillations, and motor impairment, which puts us in a better position to understand the pathology and improve therapies such as deep brain stimulation.


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