Lesion of the subthalamic nucleus or globus pallidus does not cause chaotic firing patterns in basal ganglia neurons in rats

2000 ◽  
Vol 873 (2) ◽  
pp. 263-267
Author(s):  
Lawrence J Ryan
Keyword(s):  
Basal Ganglia ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Firing Patterns

scholarly journals Sensorimotor processing in the basal ganglia leads to transient beta oscillations during behavior

2017 ◽  
Author(s):  
Amin Mirzaei ◽  
Arvind Kumar ◽  
Daniel Leventhal ◽  
Nicolas Mallet ◽  
Ad Aertsen ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Basal Ganglia ◽  
Computational Model ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Single Unit ◽  
Beta Oscillations ◽  
Firing Patterns ◽  
Sensorimotor Processing

AbstractBrief epochs of beta oscillations have been implicated in sensorimotor control in the basal ganglia of task-performing healthy animals. However, which neural processes underlie their generation and how they are affected by sensorimotor processing remains unclear. To determine the mechanisms underlying transient beta oscillations in the local field potential (LFP), we combined computational modeling of the subthalamo-pallidal network for the generation of beta oscillations with realistic stimulation patterns derived from single unit data. The single unit data were recorded from different basal ganglia subregions in rats performing a cued choice task. In the recordings we found distinct firing patterns in the striatum, globus pallidus and subthalamic nucleus related to sensory and motor events during the behavioral task. Using these firing patterns to generate realistic inputs to our network model lead to transient beta oscillations with the same time course as the rat LFP data. In addition, our model can account for further non-intuitive aspects of beta modulation, including beta phase resets following sensory cues and correlations with reaction time. Overall, our model can explain how the combination of temporally regulated sensory responses of the subthalamic nucleus, ramping activity of the subthalamic nucleus, and movement-related activity of the globus pallidus, leads to transient beta oscillations during behavior.Significance StatementTransient beta oscillations emerge in the normal functioning cortico-basal ganglia loop during behavior. In this work we employ a unique approach connecting a computational model closely with experimental data. In this way we achieve a simulation environment for our model that mimics natural input patterns in awake behaving animals. Using this approach we demonstrate that a computational model for beta oscillations in Parkinson’s disease can also account for complex patterns of transient beta oscillations in healthy animals. Therefore, we propose that transient beta oscillations in healthy animals share the same mechanism with pathological beta oscillations in Parkinson’s disease. This important result connects functional and pathological roles of beta oscillations in the basal ganglia.

Subthalamo-Pallidal Circuit

2017 ◽  
pp. 143-150
Author(s):  
Charles J. Wilson
Keyword(s):  
Basal Ganglia ◽  
Substantia Nigra ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Substantia Nigra Pars Reticulata ◽  
Modern Methods

The subthalamo-pallidal system constitutes the second layer of circuitry in the basal ganglia, downstream of the striatum. It consists of four nuclei. Two of them, the external segment of the globus pallidus (GPe) and subthalamic nucleus (STN), make their connections primarily within the basal ganglia. The others, the internal segment of the globus pallidus (GPi) and the substantia nigra pars reticulata (SNr), are the output nuclei of the basal ganglia. Collectively, their axons distribute collaterals to all the targets of the basal ganglia. Rare interneurons have been reported in each of them from studies of Golgi-stained preparations, but they have not so far been confirmed using more modern methods. The circuit as described here is based primarily on studies of the axonal arborizations of neurons stained individually by intracellular or juxtacellular labeling.

scholarly journals Basal ganglia and cerebellar contributions to vocal emotion processing: a high resolution fMRI study

2020 ◽  
Author(s):  
Leonardo Ceravolo ◽  
Sascha Frühholz ◽  
Jordan Pierce ◽  
Didier Grandjean ◽  
Julie Péron
Keyword(s):  
Basal Ganglia ◽  
High Resolution ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Effective Connectivity ◽  
Emotion Processing ◽  
Brain Regions ◽  
Fmri Study ◽  
Vocal Emotion

AbstractUntil recently, brain networks underlying emotional voice prosody decoding and processing were focused on modulations in primary and secondary auditory, ventral frontal and prefrontal cortices, and the amygdala. Growing interest for a specific role of the basal ganglia and cerebellum was recently brought into the spotlight. In the present study, we aimed at characterizing the role of such subcortical brain regions in vocal emotion processing, at the level of both brain activation and functional and effective connectivity, using high resolution functional magnetic resonance imaging. Variance explained by low-level acoustic parameters (fundamental frequency, voice energy) was also modelled. Wholebrain data revealed expected contributions of the temporal and frontal cortices, basal ganglia and cerebellum to vocal emotion processing, while functional connectivity analyses highlighted correlations between basal ganglia and cerebellum, especially for angry voices. Seed-to-seed and seed-to-voxel effective connectivity revealed direct connections within the basal ganglia ̶ especially between the putamen and external globus pallidus ̶ and between the subthalamic nucleus and the cerebellum. Our results speak in favour of crucial contributions of the basal ganglia, especially the putamen, external globus pallidus and subthalamic nucleus, and several cerebellar lobules and nuclei for an efficient decoding of and response to vocal emotions.

Understanding Parkinsonian Handwriting Through a Computational Model of Basal Ganglia

2008 ◽  
Vol 20 (10) ◽  
pp. 2491-2525 ◽  
Author(s):  
Garipelli Gangadhar ◽  
Denny Joseph ◽  
V. Srinivasa Chakravarthy
Keyword(s):  
Basal Ganglia ◽  
Computational Model ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Line Contour ◽  
Velocity Fluctuations ◽  
Signaling Model ◽  
Tip Velocity ◽  
Handwriting Generation

Handwriting in Parkinson's disease (PD) is typically characterized by micrographia, jagged line contour, and unusual fluctuations in pen tip velocity. Although PD handwriting features have been used for diagnostics, they are not based on a signaling model of basal ganglia (BG). In this letter, we present a computational model of handwriting generation that highlights the role of BG. When PD conditions like reduced dopamine and altered dynamics of the subthalamic nucleus and globus pallidus externa subsystems are simulated, the handwriting produced by the model manifested characteristic PD handwriting distortions like micrographia and velocity fluctuations. Our approach to PD modeling is in tune with the perspective that PD is a dynamic disease.

A basal ganglia pacemaker formed by the subthalamic nucleus and external globus pallidus

Nature ◽  
10.1038/23281 ◽  
1999 ◽  
Vol 400 (6745) ◽  
pp. 677-682 ◽  
Author(s):  
Dietmar Plenz ◽  
Stephen T. Kital
Keyword(s):  
Basal Ganglia ◽  
Globus Pallidus ◽  
Subthalamic Nucleus

Nitric oxide synthase mRNA expression in human subthalamic nucleus, striatum and globus pallidus: implications for basal ganglia function

1994 ◽  
Vol 22 (1-4) ◽  
pp. 329-332 ◽  
Author(s):  
Angus P. Nisbet ◽  
Oliver J.F. Foster ◽  
Ann Kingsbury ◽  
Andrew J. Lees ◽  
C.David Marsden
Keyword(s):  
Nitric Oxide ◽  
Basal Ganglia ◽  
Nitric Oxide Synthase ◽  
Mrna Expression ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Oxide Synthase

scholarly journals Activation of the basal ganglia and indirect pathway neurons during frontal lobe seizures

Brain ◽  
2021 ◽  
Author(s):  
Anastasia Brodovskaya ◽  
Shinnosuke Shiono ◽  
Jaideep Kapur
Keyword(s):  
Basal Ganglia ◽  
Substantia Nigra ◽  
Frontal Lobe ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
D2 Receptor ◽  
Field Potential ◽  
Anticonvulsant Effect ◽  
Neuronal Activation ◽  
Indirect Pathway

Abstract There are no detailed descriptions of neuronal circuit active during frontal lobe motor seizures. Using activity reporter mice, local field potential recordings, tissue clearing, viral tracing, and super-resolution microscopy, we found neuronal activation after focal motor to bilateral tonic-clonic seizures in the striatum, globus pallidus externus, subthalamic nucleus, substantia nigra pars reticulata and neurons of the indirect pathway. Seizures preferentially activated dopamine D2 receptor-expressing neurons over D1 in the striatum, which have different projections. Furthermore, the D2 receptor agonist infused into the striatum exerted an anticonvulsant effect. Seizures activate structures via short and long latency loops, and anatomical connections of the seizure focus determine the seizure circuit. These studies, for the first time, show activation of neurons in the striatum, globus pallidus, subthalamic nucleus, and substantia nigra during frontal lobe motor seizures on the cellular level, revealing a complex neuronal activation circuit subject to modulation by the basal ganglia.

scholarly journals The Subthalamic Nucleus in Primary Dystonia: Single-Unit Discharge Characteristics

2009 ◽  
Vol 102 (6) ◽  
pp. 3740-3752 ◽  
Author(s):  
Lauren E. Schrock ◽  
Jill L. Ostrem ◽  
Robert S. Turner ◽  
Shoichi A. Shimamoto ◽  
Philip A. Starr
Keyword(s):  
Basal Ganglia ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Single Unit ◽  
Discharge Rate ◽  
Receptive Fields ◽  
Principal Component ◽  
Oscillatory Activity ◽  
Inhibitory Input ◽  
Primary Dystonia

Most models of dystonia pathophysiology predict alterations of activity in the basal ganglia thalamocortical motor circuit. The globus pallidus interna (GPi) shows bursting and oscillatory neuronal discharge in both human dystonia and in animal models, but it is not clear which intrinsic basal ganglia pathways are implicated in this abnormal output. The subthalamic nucleus (STN) receives prominent excitatory input directly from cortical areas implicated in dystonia pathogenesis and inhibitory input from the external globus pallidus. The goal of this study was to elucidate the role of the STN in dystonia by analyzing STN neuronal discharge in patients with idiopathic dystonia. Data were collected in awake patients undergoing microelectrode recording for implantation of STN deep brain stimulation electrodes. We recorded 62 STN neurons in 9 patients with primary dystonia. As a comparison group, we recorded 143 STN neurons in 20 patients with Parkinson's disease (PD). Single-unit activity was discriminated off-line by principal component analysis and evaluated with respect to discharge rate, bursting, and oscillatory activity. The mean STN discharge rate in dystonia patients was 26.3 Hz (SD 13.6), which was lower than that in the PD patients (35.6 Hz, SD 15.2), but higher than published values for subjects without basal ganglia dysfunction. Oscillatory activity was found in both disorders, with a higher proportion of units oscillating in the beta range in PD. Bursting discharge was a prominent feature of both dystonia and PD, whereas sensory receptive fields were expanded in PD compared with dystonia. The STN firing characteristics, in conjunction with those previously published for GPi, suggest that bursting and oscillatory discharge in basal ganglia output may be transmitted via pathways involving the STN and provide a pathophysiologic rationale for STN as a surgical target in dystonia.

scholarly journals Basal ganglia and cerebellum contributions to vocal emotion processing as revealed by high-resolution fMRI

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Leonardo Ceravolo ◽  
Sascha Frühholz ◽  
Jordan Pierce ◽  
Didier Grandjean ◽  
Julie Péron
Keyword(s):  
Basal Ganglia ◽  
High Resolution ◽  
Globus Pallidus ◽  
Subthalamic Nucleus ◽  
Effective Connectivity ◽  
Emotion Processing ◽  
Brain Regions ◽  
Vocal Emotion ◽  
Variance Explained

AbstractUntil recently, brain networks underlying emotional voice prosody decoding and processing were focused on modulations in primary and secondary auditory, ventral frontal and prefrontal cortices, and the amygdala. Growing interest for a specific role of the basal ganglia and cerebellum was recently brought into the spotlight. In the present study, we aimed at characterizing the role of such subcortical brain regions in vocal emotion processing, at the level of both brain activation and functional and effective connectivity, using high resolution functional magnetic resonance imaging. Variance explained by low-level acoustic parameters (fundamental frequency, voice energy) was also modelled. Wholebrain data revealed expected contributions of the temporal and frontal cortices, basal ganglia and cerebellum to vocal emotion processing, while functional connectivity analyses highlighted correlations between basal ganglia and cerebellum, especially for angry voices. Seed-to-seed and seed-to-voxel effective connectivity revealed direct connections within the basal ganglia—especially between the putamen and external globus pallidus—and between the subthalamic nucleus and the cerebellum. Our results speak in favour of crucial contributions of the basal ganglia, especially the putamen, external globus pallidus and subthalamic nucleus, and several cerebellar lobules and nuclei for an efficient decoding of and response to vocal emotions.

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