Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop

Abstract Parkinson’s disease (PD) is associated with abnormal $$\beta$$ β band oscillations (13–30 Hz) in the cortico-basal ganglia circuits. Abnormally increased striato-pallidal inhibition and strengthening the synaptic coupling between subthalamic nucleus (STN) and globus pallidus externa (GPe),...

Full description

Bibliographic Details
Main Authors: Seyed Mojtaba Alavi, Amin Mirzaei, Alireza Valizadeh, Reza Ebrahimpour
Format: Article
Language:English
Published: Nature Portfolio 2022-05-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-022-10084-4
_version_ 1818211360156155904
author Seyed Mojtaba Alavi
Amin Mirzaei
Alireza Valizadeh
Reza Ebrahimpour
author_facet Seyed Mojtaba Alavi
Amin Mirzaei
Alireza Valizadeh
Reza Ebrahimpour
author_sort Seyed Mojtaba Alavi
collection DOAJ
description Abstract Parkinson’s disease (PD) is associated with abnormal $$\beta$$ β band oscillations (13–30 Hz) in the cortico-basal ganglia circuits. Abnormally increased striato-pallidal inhibition and strengthening the synaptic coupling between subthalamic nucleus (STN) and globus pallidus externa (GPe), due to the loss of dopamine, are considered as the potential sources of $$\beta$$ β oscillations in the basal ganglia. Deep brain stimulation (DBS) of the basal ganglia subregions is known as a way to reduce the pathological $$\beta$$ β oscillations and motor deficits related to PD. Despite the success of the DBS, its underlying mechanism is poorly understood and, there is controversy about the inhibitory or excitatory role of the DBS in the literature. Here, we utilized a computational network model of basal ganglia which consists of STN, GPe, globus pallidus interna, and thalamic neuronal population. This model can reproduce healthy and pathological $$\beta$$ β oscillations similar to what has been observed in experimental studies. Using this model, we investigated the effect of DBS to understand whether its effect is excitatory or inhibitory. Our results show that the excitatory DBS is able to quench the pathological synchrony and $$\beta$$ β oscillations, while, applying inhibitory DBS failed to quench the PD signs. In light of simulation results, we conclude that the effect of the DBS on its target is excitatory.
first_indexed 2024-12-12T05:31:15Z
format Article
id doaj.art-06547bd1ad3c4d5cbf30adb409853a76
institution Directory Open Access Journal
issn 2045-2322
language English
last_indexed 2024-12-12T05:31:15Z
publishDate 2022-05-01
publisher Nature Portfolio
record_format Article
series Scientific Reports
spelling doaj.art-06547bd1ad3c4d5cbf30adb409853a762022-12-22T00:36:18ZengNature PortfolioScientific Reports2045-23222022-05-0112112010.1038/s41598-022-10084-4Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loopSeyed Mojtaba Alavi0Amin Mirzaei1Alireza Valizadeh2Reza Ebrahimpour3Faculty of Computer Engineering, Shahid Rajaee Teacher Training UniversityInsilico Biotechnology AGDepartment of Physics, Institute for Advance Studies in Basic Sciences (IASBS)Faculty of Computer Engineering, Shahid Rajaee Teacher Training UniversityAbstract Parkinson’s disease (PD) is associated with abnormal $$\beta$$ β band oscillations (13–30 Hz) in the cortico-basal ganglia circuits. Abnormally increased striato-pallidal inhibition and strengthening the synaptic coupling between subthalamic nucleus (STN) and globus pallidus externa (GPe), due to the loss of dopamine, are considered as the potential sources of $$\beta$$ β oscillations in the basal ganglia. Deep brain stimulation (DBS) of the basal ganglia subregions is known as a way to reduce the pathological $$\beta$$ β oscillations and motor deficits related to PD. Despite the success of the DBS, its underlying mechanism is poorly understood and, there is controversy about the inhibitory or excitatory role of the DBS in the literature. Here, we utilized a computational network model of basal ganglia which consists of STN, GPe, globus pallidus interna, and thalamic neuronal population. This model can reproduce healthy and pathological $$\beta$$ β oscillations similar to what has been observed in experimental studies. Using this model, we investigated the effect of DBS to understand whether its effect is excitatory or inhibitory. Our results show that the excitatory DBS is able to quench the pathological synchrony and $$\beta$$ β oscillations, while, applying inhibitory DBS failed to quench the PD signs. In light of simulation results, we conclude that the effect of the DBS on its target is excitatory.https://doi.org/10.1038/s41598-022-10084-4
spellingShingle Seyed Mojtaba Alavi
Amin Mirzaei
Alireza Valizadeh
Reza Ebrahimpour
Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop
Scientific Reports
title Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop
title_full Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop
title_fullStr Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop
title_full_unstemmed Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop
title_short Excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo-pallidal loop
title_sort excitatory deep brain stimulation quenches beta oscillations arising in a computational model of the subthalamo pallidal loop
url https://doi.org/10.1038/s41598-022-10084-4
work_keys_str_mv AT seyedmojtabaalavi excitatorydeepbrainstimulationquenchesbetaoscillationsarisinginacomputationalmodelofthesubthalamopallidalloop
AT aminmirzaei excitatorydeepbrainstimulationquenchesbetaoscillationsarisinginacomputationalmodelofthesubthalamopallidalloop
AT alirezavalizadeh excitatorydeepbrainstimulationquenchesbetaoscillationsarisinginacomputationalmodelofthesubthalamopallidalloop
AT rezaebrahimpour excitatorydeepbrainstimulationquenchesbetaoscillationsarisinginacomputationalmodelofthesubthalamopallidalloop