PHARMACOLOGIC ANALYSIS OF NEUROTRANSMITTER SYSTEMS SUBSERVING BASAL GANGLIA AND BRAINSTEM SUPPRESSION OF INTRALAMINAR THALAMIC NEURONS

Abstracts ◽  
1978 ◽  
pp. 823
Author(s):  
Howard K. Strahlendorf ◽  
Charles D. Barnes
Brain ◽  
2006 ◽  
Vol 130 (1) ◽  
pp. 265-275 ◽  
Author(s):  
A.-S. Rolland ◽  
M.-T. Herrero ◽  
V. Garcia-Martinez ◽  
M. Ruberg ◽  
E. C. Hirsch ◽  
...  

2019 ◽  
Author(s):  
Md Ali Azam ◽  
Deepak Kumbhare ◽  
Ravi Hadimani ◽  
Jamie Toms ◽  
Mark S. Baron ◽  
...  

AbstractA modified computational model of pallidal receiving ventral oral posterior (Vop) thalamocortical motor relay neurons was adapted based on in vivo observations in our rodent model. The model accounts for different input neuronal firing patterns in the primary motor output nucleus of basal ganglia, the globus pallidus interna (GPi) and subsequently generate Vop outputs as observed in vivo under different conditions. Hyperpolarizing input de-inactivates its T-type calcium channel and sets the thalamic neurons in the preferable burst firing mode over a tonic mode and induces low threshold spikes (LTS). In the hyperpolarized state, both spontaneously and in response to excitatory (e.g. corticothalamic) inputs, burst spiking occurs on the crest of the LTS. By selecting and determining the timing and extent of opening of thalamic T-type calcium channels via GABAergic hyperpolarizing input, the GPi precisely regulates Vop-cortical burst motor signaling. Different combinations of tonic, burst, irregular tonic and irregular burst inputs from GPi were used to verify our model. In vivo data obtained from recordings in the entopedunucular nucleus (EP; rodent equivalent of GPi) from resting head restrained healthy and dystonic rats were used to simulate the influences of different inputs from GPi. In all cases, GPi neuronal firing patterns are demonstrated to act as a firing mode selector for thalamic Vop neurons.


2012 ◽  
Vol 108 (5) ◽  
pp. 1403-1429 ◽  
Author(s):  
Jesse H. Goldberg ◽  
Michael A. Farries ◽  
Michale S. Fee

The basal ganglia-recipient thalamus receives inhibitory inputs from the pallidum and excitatory inputs from cortex, but it is unclear how these inputs interact during behavior. We recorded simultaneously from thalamic neurons and their putative synaptically connected pallidal inputs in singing zebra finches. We find, first, that each pallidal spike produces an extremely brief (∼5 ms) pulse of inhibition that completely suppresses thalamic spiking. As a result, thalamic spikes are entrained to pallidal spikes with submillisecond precision. Second, we find that the number of thalamic spikes that discharge within a single pallidal interspike interval (ISI) depends linearly on the duration of that interval but does not depend on pallidal activity prior to the interval. In a detailed biophysical model, our results were not easily explained by the postinhibitory “rebound” mechanism previously observed in anesthetized birds and in brain slices, nor could most of our data be characterized as “gating” of excitatory transmission by inhibitory pallidal input. Instead, we propose a novel “entrainment” mechanism of pallidothalamic transmission that highlights the importance of an excitatory conductance that drives spiking, interacting with brief pulses of pallidal inhibition. Building on our recent finding that cortical inputs can drive syllable-locked rate modulations in thalamic neurons during singing, we report here that excitatory inputs affect thalamic spiking in two ways: by shortening the latency of a thalamic spike after a pallidal spike and by increasing thalamic firing rates within individual pallidal ISIs. We present a unifying biophysical model that can reproduce all known modes of pallidothalamic transmission—rebound, gating, and entrainment—depending on the amount of excitation the thalamic neuron receives.


Author(s):  
Laureline Logiaco ◽  
L.F. Abbott ◽  
Sean Escola

AbstractThe mechanisms by which neural circuits generate an extensible library of motor motifs and flexibly string them into arbitrary sequences are unclear. We developed a model in which inhibitory basal ganglia output neurons project to thalamic units that are themselves bidirectionally connected to a recurrent cortical network. During movement sequences, electrophysiological recordings of basal ganglia output neurons show sustained activity patterns that switch at the boundaries between motifs. Thus, we model these inhibitory patterns as silencing some thalamic neurons while leaving others disinhibited and free to interact with cortex during specific motifs. We show that a small number of disinhibited thalamic neurons can control cortical dynamics to generate specific motor output in a noise robust way. If the thalamic units associated with each motif are segregated, many motor outputs can be learned without interference and then combined in arbitrary orders for the flexible production of long and complex motor sequences.


Author(s):  
Vaughn R. Steele ◽  
Vani Pariyadath ◽  
Rita Z. Goldstein ◽  
Elliot A. Stein

Addiction is a complex neuropsychiatric syndrome related to dysregulation of brain systems including the mesocorticolimbic dopamine reward circuit. Dysregulation of reward circuitry is related to each of the three cyclical stages in the disease model of addiction: maintenance, abstinence, and relapse. Parsing reward circuitry is confounded due to the anatomical complexity of cortico-basal ganglia-thalamocortical loops, forward and backward projections within the circuit, and interactions between neurotransmitter systems. We begin by introducing the neurobiology of the reward system, specifically highlighting nodes of the circuit beyond the basal ganglia, followed by a review of the current literature on reward circuitry dysregulation in addiction. Finally, we discuss biomarkers of addiction identified with neuroimaging that could help guide neuroprediction models and development of targets for effective new interventions, such as noninvasive brain stimulation. The neurocircuitry of reward, especially non-prototypical nodes, may hold essential keys to understanding and treating addiction.


1994 ◽  
Vol 175 (1-2) ◽  
pp. 9-12 ◽  
Author(s):  
C.F. Loidl ◽  
M. Herrera-Marschitz ◽  
K. Andersson ◽  
Z.-B. You ◽  
M. Goiny ◽  
...  

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