Literature DB >> 19168074

Mean-field modeling of the basal ganglia-thalamocortical system. I Firing rates in healthy and parkinsonian states.

S J van Albada1, P A Robinson.   

Abstract

Parkinsonism leads to various electrophysiological changes in the basal ganglia-thalamocortical system (BGTCS), often including elevated discharge rates of the subthalamic nucleus (STN) and the output nuclei, and reduced activity of the globus pallidus external (GPe) segment. These rate changes have been explained qualitatively in terms of the direct/indirect pathway model, involving projections of distinct striatal populations to the output nuclei and GPe. Although these populations partly overlap, evidence suggests dopamine depletion differentially affects cortico-striato-pallidal connection strengths to the two pallidal segments. Dopamine loss may also decrease the striatal signal-to-noise ratio, reducing both corticostriatal coupling and striatal firing thresholds. Additionally, nigrostriatal degeneration may cause secondary changes including weakened lateral inhibition in the GPe, and mesocortical dopamine loss may decrease intracortical excitation and especially inhibition. Here a mean-field model of the BGTCS is presented with structure and parameter estimates closely based on physiology and anatomy. Changes in model rates due to the possible effects of dopamine loss listed above are compared with experiment. Our results suggest that a stronger indirect pathway, possibly combined with a weakened direct pathway, is compatible with empirical evidence. However, altered corticostriatal connection strengths are probably not solely responsible for substantially increased STN activity often found. A lower STN firing threshold, weaker intracortical inhibition, and stronger striato-GPe inhibition help explain the relatively large increase in STN rate. Reduced GPe-GPe inhibition and a lower GPe firing threshold can account for the comparatively small decrease in GPe rate frequently observed. Changes in cortex, GPe, and STN help normalize the cortical rate, also in accord with experiments. The model integrates the basal ganglia into a unified framework along with an existing thalamocortical model that already accounts for a wide range of electrophysiological phenomena. A companion paper discusses the dynamics and oscillations of this combined system.

Entities:  

Mesh:

Year:  2008        PMID: 19168074     DOI: 10.1016/j.jtbi.2008.12.018

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  32 in total

1.  A biologically constrained model of the whole basal ganglia addressing the paradoxes of connections and selection.

Authors:  Jean Liénard; Benoît Girard
Journal:  J Comput Neurosci       Date:  2014-06       Impact factor: 1.621

2.  The beta oscillation conditions in a simplified basal ganglia network.

Authors:  Bing Hu; Xiyezi Diao; Heng Guo; Shasha Deng; Yu Shi; Yuqi Deng; Liqing Zong
Journal:  Cogn Neurodyn       Date:  2018-12-04       Impact factor: 5.082

3.  Frequency and function in the basal ganglia: the origins of beta and gamma band activity.

Authors:  Alexander Blenkinsop; Sean Anderson; Kevin Gurney
Journal:  J Physiol       Date:  2017-06-05       Impact factor: 5.182

4.  Control of absence seizures induced by the pathways connected to SRN in corticothalamic system.

Authors:  Bing Hu; Daqing Guo; Qingyun Wang
Journal:  Cogn Neurodyn       Date:  2014-11-25       Impact factor: 5.082

5.  Regulation and control roles of the basal ganglia in the development of absence epileptiform activities.

Authors:  Bing Hu; Dingjiang Wang; Zhinan Xia; Aijun Yang; Jingsong Zhang; Qianqian Shi; Hao Dai
Journal:  Cogn Neurodyn       Date:  2019-10-08       Impact factor: 5.082

6.  Controlling mechanism of absence seizures by deep brain stimulus applied on subthalamic nucleus.

Authors:  Bing Hu; Yu Guo; Xiaoqiang Zou; Jing Dong; Long Pan; Min Yu; Zhejia Yang; Chaowei Zhou; Zhang Cheng; Wanyue Tang; Haochen Sun
Journal:  Cogn Neurodyn       Date:  2017-10-20       Impact factor: 5.082

7.  Origins and suppression of oscillations in a computational model of Parkinson's disease.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  J Comput Neurosci       Date:  2014-08-07       Impact factor: 1.621

8.  Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations.

Authors:  Sacha Jennifer van Albada; Moritz Helias; Markus Diesmann
Journal:  PLoS Comput Biol       Date:  2015-09-01       Impact factor: 4.475

9.  Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease.

Authors:  Jhielson M Pimentel; Renan C Moioli; Mariana F P de Araujo; Caetano M Ranieri; Roseli A F Romero; Frank Broz; Patricia A Vargas
Journal:  Front Neurorobot       Date:  2021-07-01       Impact factor: 2.650

10.  A data-informed mean-field approach to mapping of cortical parameter landscapes.

Authors:  Zhuo-Cheng Xiao; Kevin K Lin; Lai-Sang Young
Journal:  PLoS Comput Biol       Date:  2021-12-23       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.