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Kumbhare D, Azam MA, Hadimani R, Toms J, Weistroffer G, Atulasimha J, Baron MS. Healthy and pathological pallidal regulation of thalamic burst versus tonic mode firing: a computational simulation. Neuroreport 2023; 34:773-780. [PMID: 37756165 DOI: 10.1097/wnr.0000000000001955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/29/2023]
Abstract
The mechanisms by which the basal ganglia influence the pallidal-receiving thalamus remain to be adequately defined. Our prior in vivo recordings in fully alert normal and dystonic rats revealed that normally fast tonic discharging entopeduncular [EP, rodent equivalent of the globus pallidus internus (GPi)] neurons are pathologically slow, highly irregular, and bursty under dystonic conditions. This, in turn, induces pallidal-receiving thalamic movement-related neurons to change from a healthy burst predominant to a pathological tonic-predominant resting firing mode. This study aims to understand the pallidal influence on thalamic firing modes using computational simulations. We inputted various combinations of healthy and pathological (dystonic) in vivo neuronal recordings to the Rubin and Terman's computational model of low threshold spiking pallidothalamic neurons. The input sets consist of representative tonic, burst, irregular tonic and irregular burst inputs collected from EP/GPi in our animal lab. Initial test combinations of EP/ GPi input to the model were identical to the neuronal population distributions observed in vivo. The thalamic neuron model outputted similar firing rate and mode as observed in corresponding in-vivo thalamus. Further influence of each individual patterns was also delineated. By simulating the firing properties of encountered neurons, the basal ganglia output is suggested to critically act as firing mode selector for thalamic motor relay neurons. By selecting and determining the timing and extent of opening of thalamic T-type calcium channels via GABAergic hyperpolarizing input, GPi neurons are in position to precisely orchestrate thalamocortical burst motor signaling.
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Affiliation(s)
- Deepak Kumbhare
- Department of Neurosurgery, Louisiana State University Health Science Center, Shreveport, Louisiana
- McGuire Research Institute, Richmond Veterans Affairs Medical Center
| | - Md Ali Azam
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, Virginia
| | - Ravi Hadimani
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, Virginia
- Department of Biomedical Engineering, Harvard Medical School, Boston, Massachusetts
| | - Jamie Toms
- Department of Neurosurgery, Louisiana State University Health Science Center, Shreveport, Louisiana
| | - George Weistroffer
- McGuire Research Institute, Richmond Veterans Affairs Medical Center
- Department of Biomedical Engineering, Virginia Commonwealth University
| | - Jayasimha Atulasimha
- Department of Mechanical and Nuclear Engineering, Virginia Commonwealth University, Richmond, Virginia
| | - Mark S Baron
- Southeast Parkinson's Disease Research, Education and Clinical Center (PADRECC), Richmond Veterans Affairs Medical Center
- Department of Neurology, Virginia Commonwealth University Health System, Richmond, Virginia, USA
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Moriya F, Shimba K, Kotani K, Jimbo Y. Modulation of dynamics in a pre-existing hippocampal network by neural stem cells on a microelectrode array. J Neural Eng 2021; 18. [PMID: 34380120 DOI: 10.1088/1741-2552/ac1c88] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2021] [Accepted: 08/11/2021] [Indexed: 11/12/2022]
Abstract
Objective.Neural stem cells (NSCs) are continuously produced throughout life in the hippocampus, which is a vital structure for learning and memory. NSCs in the brain incorporate into the functional hippocampal circuits and contribute to processing information. However, little is known about the mechanisms of NSCs' activity in a pre-existing neuronal network. Here, we investigate the role of NSCs in the neuronal activity of a pre-existing hippocampalin vitronetwork grown on microelectrode arrays.Approach.We assessed the change in internal dynamics of the network by additional NSCs based on spontaneous activity. We also evaluated the networks' ability to discriminate between different input patterns by measuring evoked activity in response to external inputs.Main results.Analysis of spontaneous activity revealed that additional NSCs prolonged network bursts with longer intervals, generated a lower number of initiating patterns, and decreased synchronization among neurons. Moreover, the network with NSCs showed higher synchronicity in close connections among neurons responding to external inputs and a larger difference in spike counts and cross-correlations during evoked response between two different inputs. Taken together, our results suggested that NSCs alter the internal dynamics of the pre-existing hippocampal network and produce more specific responses to external inputs, thus enhancing the ability of the network to differentiate two different inputs.Significance.We demonstrated that NSCs improve the ability to distinguish external inputs by modulating the internal dynamics of a pre-existing network in a hippocampal culture. Our results provide novel insights into the relationship between NSCs and learning and memory.
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Affiliation(s)
- Fumika Moriya
- The Department of Precision Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan.,The Japan Society for the Promotion of Science (JSPS), Tokyo, Japan
| | - Kenta Shimba
- The Department of Precision Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
| | - Kiyoshi Kotani
- The Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo 153-8904, Japan
| | - Yasuhiko Jimbo
- The Department of Precision Engineering, School of Engineering, The University of Tokyo, Tokyo 113-8656, Japan
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3
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Wang M, Xia Q, Peng F, Jiang B, Chen L, Wu X, Zheng X, Wang X, Tian T, Hou W. Prolonged post-stimulation response induced by 980-nm infrared neural stimulation in the rat primary motor cortex. Lasers Med Sci 2019; 35:365-372. [PMID: 31222480 DOI: 10.1007/s10103-019-02826-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 05/31/2019] [Indexed: 11/25/2022]
Abstract
The post-stimulation response of neural activities plays an important role to evaluate the effectiveness and safety of neural modulation techniques. Previous studies have established the capability of infrared neural modulation (INM) on neural firing regulation in the central nervous system (CNS); however, the dynamic neural activity after the laser offset has not been well characterized yet. We applied 980-nm infrared diode laser light to irradiate the primary motor cortex of rats, and tungsten electrode was inserted to record the single-unit activity of neurons at the depth of 800-1000 μm (layer V of primary motor cortex). The neural activities were assessed through the change of neural firing rate and firing pattern pre- and post-stimulation with various radiant exposures. The results showed that the 980-nm laser could modulate the firing properties of neurons in the deep layer of the cortex. More neurons with post-stimulation response (78% vs. 83%) were observed at higher stimulation intensity (0.803 J/cm2 vs. 1.071 J/cm2, respectively). The change of firing rate also increased with radiant exposures increasing, and the response lasted up to 4.5 s at 1.071 J/cm2, which was significantly longer than the theoretical thermal relaxation time. Moreover, the increasing Fano factors indicated the irregularity firing pattern of post-stimulation response. Our results confirmed that neural activity maintained a prolonged post-stimulation response after INM, which may provide necessary measurable data for optimization of INM applications in CNS.
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Affiliation(s)
- Manqing Wang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Qingling Xia
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Fei Peng
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Bin Jiang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
| | - Lin Chen
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
- Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing 400044, China
| | - Xiaoying Wu
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
- Chongqing Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 400044, China
| | - Xiaolin Zheng
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
- Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing 400044, China
| | - Xing Wang
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China
- Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing 400044, China
- Chongqing Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 400044, China
| | - Tian Tian
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China.
| | - Wensheng Hou
- Key Laboratory of Biorheological Science and Technology of Ministry of Education, Chongqing University, Chongqing, 400044, China.
- Chongqing Medical Electronics Engineering Technology Research Center, Chongqing University, Chongqing 400044, China.
- Chongqing Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 400044, China.
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Tabuchi M, Monaco JD, Duan G, Bell B, Liu S, Liu Q, Zhang K, Wu MN. Clock-Generated Temporal Codes Determine Synaptic Plasticity to Control Sleep. Cell 2018; 175:1213-1227.e18. [PMID: 30318147 DOI: 10.1016/j.cell.2018.09.016] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Revised: 08/31/2018] [Accepted: 09/10/2018] [Indexed: 10/28/2022]
Abstract
Neurons use two main schemes to encode information: rate coding (frequency of firing) and temporal coding (timing or pattern of firing). While the importance of rate coding is well established, it remains controversial whether temporal codes alone are sufficient for controlling behavior. Moreover, the molecular mechanisms underlying the generation of specific temporal codes are enigmatic. Here, we show in Drosophila clock neurons that distinct temporal spike patterns, dissociated from changes in firing rate, encode time-dependent arousal and regulate sleep. From a large-scale genetic screen, we identify the molecular pathways mediating the circadian-dependent changes in ionic flux and spike morphology that rhythmically modulate spike timing. Remarkably, the daytime spiking pattern alone is sufficient to drive plasticity in downstream arousal neurons, leading to increased firing of these cells. These findings demonstrate a causal role for temporal coding in behavior and define a form of synaptic plasticity triggered solely by temporal spike patterns.
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Affiliation(s)
- Masashi Tabuchi
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Joseph D Monaco
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Grace Duan
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Benjamin Bell
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Sha Liu
- VIB Center for Brain and Disease Research and Department of Neuroscience, KU Leuven, Leuven, 3000, Belgium
| | - Qili Liu
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Kechen Zhang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Mark N Wu
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21205, USA; Solomon H. Snyder Department of Neuroscience, Johns Hopkins University, Baltimore, MD 21205, USA.
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Mijatović G, Lončar-Turukalo T, Procyk E, Bajić D. A novel approach to probabilistic characterisation of neural firing patterns. J Neurosci Methods 2018; 305:67-81. [PMID: 29777726 DOI: 10.1016/j.jneumeth.2018.05.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 05/12/2018] [Indexed: 10/16/2022]
Abstract
BACKGROUND The advances in extracellular neural recording techniques result in big data volumes that necessitate fast, reliable, and automatic identification of statistically similar units. This study proposes a single framework yielding a compact set of probabilistic descriptors that characterise the firing patterns of a single unit. NEW METHOD Probabilistic features are estimated from an inter-spike-interval time series, without assumptions about the firing distribution or the stationarity. The first level of proposed firing patterns decomposition divides the inter-spike intervals into bursting, moderate and idle firing modes, yielding a coarse feature set. The second level identifies the successive bursting spikes, or the spiking acceleration/deceleration in the moderate firing mode, yielding a refined feature set. The features are estimated from simulated data and from experimental recordings from the lateral prefrontal cortex in awake, behaving rhesus monkeys. RESULTS An efficient and stable partitioning of neural units is provided by the ensemble evidence accumulation clustering. The possibility of selecting the number of clusters and choosing among coarse and refined feature sets provides an opportunity to explore and compare different data partitions. CONCLUSIONS The estimation of features, if applied to a single unit, can serve as a tool for the firing analysis, observing either overall spiking activity or the periods of interest in trial-to-trial recordings. If applied to massively parallel recordings, it additionally serves as an input to the clustering procedure, with the potential to compare the functional properties of various brain structures and to link the types of neural cells to the particular behavioural states.
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Affiliation(s)
- Gorana Mijatović
- Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica, 21000 Novi Sad, Serbia.
| | - Tatjana Lončar-Turukalo
- Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica, 21000 Novi Sad, Serbia
| | - Emmanuel Procyk
- University of Lyon 1, Inserm, Stem Cell and Brain Research Institute U1208, 18 avenue du Doyen Lepine, 69500 Bron, France
| | - Dragana Bajić
- Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica, 21000 Novi Sad, Serbia
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Short-Term Plasticity Combines with Excitation-Inhibition Balance to Expand Cerebellar Purkinje Cell Dynamic Range. J Neurosci 2018; 38:5153-5167. [PMID: 29720550 DOI: 10.1523/jneurosci.3270-17.2018] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 04/11/2018] [Accepted: 04/21/2018] [Indexed: 01/03/2023] Open
Abstract
The balance between excitation (E) and inhibition (I) in neuronal networks controls the firing rate of principal cells through simple network organization, such as feedforward inhibitory circuits. Here, we demonstrate in male mice, that at the granule cell (GrC)-molecular layer interneuron (MLI)-Purkinje cell (PC) pathway of the cerebellar cortex, E/I balance is dynamically controlled by short-term dynamics during bursts of stimuli, shaping cerebellar output. Using a combination of electrophysiological recordings, optogenetic stimulation, and modeling, we describe the wide range of bidirectional changes in PC discharge triggered by GrC bursts, from robust excitation to complete inhibition. At high frequency (200 Hz), increasing the number of pulses in a burst (from 3 to 7) can switch a net inhibition of PC to a net excitation. Measurements of EPSCs and IPSCs during bursts and modeling showed that this feature can be explained by the interplay between short-term dynamics of the GrC-MLI-PC pathway and E/I balance impinging on PC. Our findings demonstrate that PC firing rate is highly sensitive to the duration of GrC bursts, which may define a temporal-to-rate code transformation in the cerebellar cortex.SIGNIFICANCE STATEMENT Sensorimotor information processing in the cerebellar cortex leads to the occurrence of a sequence of synaptic excitation and inhibition in Purkinje cells. Granule cells convey direct excitatory inputs and indirect inhibitory inputs to the Purkinje cells, through molecular layer interneurons, forming a feedforward inhibitory pathway. Using electrophysiological recordings, optogenetic stimulation, and mathematical modeling, we found that presynaptic short-term dynamics affect the balance between synaptic excitation and inhibition on Purkinje cells during high-frequency bursts and can reverse the sign of granule cell influence on Purkinje cell discharge when burst duration increases. We conclude that short-term dynamics may play an important role in transforming the duration of sensory inputs arriving on cerebellar granule cells into cerebellar cortical output firing rate.
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Tovar KR, Bridges DC, Wu B, Randall C, Audouard M, Jang J, Hansma PK, Kosik KS. Action potential propagation recorded from single axonal arbors using multielectrode arrays. J Neurophysiol 2018; 120:306-320. [PMID: 29641308 DOI: 10.1152/jn.00659.2017] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
We report the presence of co-occurring extracellular action potentials (eAPs) from cultured mouse hippocampal neurons among groups of planar electrodes on multielectrode arrays (MEAs). The invariant sequences of eAPs among coactive electrode groups, repeated co-occurrences, and short interelectrode latencies are consistent with action potential propagation in unmyelinated axons. Repeated eAP codetection by multiple electrodes was widespread in all our data records. Codetection of eAPs confirms they result from the same neuron and allows these eAPs to be isolated from all other spikes independently of spike sorting algorithms. We averaged co-occurring events and revealed additional electrodes with eAPs that would otherwise be below detection threshold. We used these eAP cohorts to explore the temperature sensitivity of action potential propagation and the relationship between voltage-gated sodium channel density and propagation velocity. The sequence of eAPs among coactive electrodes "fingerprints" neurons giving rise to these events and identifies them within neuronal ensembles. We used this property and the noninvasive nature of extracellular recording to monitor changes in excitability at multiple points in single axonal arbors simultaneously over several hours, demonstrating independence of axonal segments. Over several weeks, we recorded changes in interelectrode propagation latencies and ongoing changes in excitability in different regions of single axonal arbors. Our work illustrates how repeated eAP co-occurrences can be used to extract physiological data from single axons with low-density MEAs. However, repeated eAP co-occurrences lead to oversampling spikes from single neurons and thus can confound traditional spike-train analysis. NEW & NOTEWORTHY We studied action potential propagation in single axons using low-density multielectrode arrays. We unambiguously identified the neuronal sources of propagating action potentials and recorded extracellular action potentials from several positions within single axonal arbors. We found a surprisingly high density of axonal voltage-gated sodium channels responsible for a high propagation safety factor. Our experiments also demonstrate that excitability in different segments of single axons is regulated independently on timescales from hours to weeks.
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Affiliation(s)
- Kenneth R Tovar
- Neuroscience Research Institute, University of California , Santa Barbara, California
| | - Daniel C Bridges
- Neuroscience Research Institute, University of California , Santa Barbara, California.,Department of Physics, University of California , Santa Barbara, California
| | - Bian Wu
- Neuroscience Research Institute, University of California , Santa Barbara, California
| | - Connor Randall
- Department of Physics, University of California , Santa Barbara, California
| | - Morgane Audouard
- Neuroscience Research Institute, University of California , Santa Barbara, California.,Department of Molecular, Cellular and Developmental Biology, University of California , Santa Barbara, California
| | - Jiwon Jang
- Neuroscience Research Institute, University of California , Santa Barbara, California.,Department of Molecular, Cellular and Developmental Biology, University of California , Santa Barbara, California
| | - Paul K Hansma
- Neuroscience Research Institute, University of California , Santa Barbara, California.,Department of Physics, University of California , Santa Barbara, California
| | - Kenneth S Kosik
- Neuroscience Research Institute, University of California , Santa Barbara, California.,Department of Molecular, Cellular and Developmental Biology, University of California , Santa Barbara, California
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Rajdl K, Lansky P, Kostal L. Entropy factor for randomness quantification in neuronal data. Neural Netw 2017; 95:57-65. [DOI: 10.1016/j.neunet.2017.07.016] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2017] [Revised: 07/27/2017] [Accepted: 07/28/2017] [Indexed: 11/28/2022]
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9
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Dorgans K, Salvi J, Bertaso F, Bernard L, Lory P, Doussau F, Mezghrani A. Characterization of the dominant inheritance mechanism of Episodic Ataxia type 2. Neurobiol Dis 2017; 106:110-123. [PMID: 28688851 DOI: 10.1016/j.nbd.2017.07.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2016] [Revised: 06/30/2017] [Accepted: 07/04/2017] [Indexed: 12/01/2022] Open
Abstract
Episodic Ataxia type 2 (EA2) is an autosomal dominant neuronal disorder linked to mutations in the Cav2.1 subunit of P/Q-type calcium channels. In vitro studies have established that EA2 mutations induce loss of channel activity and that EA2 mutants can exert a dominant negative effect, suppressing normal Cav2.1 activity through protein misfolding and trafficking defects. To date, the role of this mechanism in the disease pathogenesis is unknown because no animal model exists. To address this issue, we have generated a mouse bearing the R1497X nonsense mutation in Cav2.1 (Cav2.1R1497X). Phenotypic analysis of heterozygous Cav2.1R1497X mice revealed ataxia associated with muscle weakness and generalized absence epilepsy. Electrophysiological studies of the cerebellar circuits in heterozygous Cav2.1R1497X mice highlighted severe dysregulations in synaptic transmission of the two major excitatory inputs as well as alteration of the spontaneous activity of Purkinje cells. Moreover, these neuronal dysfunctions were associated with a strong suppression of Cav2.1 channel expression in the cerebellum of heterozygous Cav2.1R1497X mice. Finally, the presence of Cav2.1 in cerebellar lipid raft microdomains was strongly impaired in heterozygous Cav2.1R1497X mice. Altogether, these results reveal a pathogenic mechanism for EA2 based on a dominant negative activity of mutant channels.
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Affiliation(s)
- Kevin Dorgans
- Institut des Neurosciences Cellulaires et Intégratives-INCI CNRS-UPR 3212, 5 rue Blaise Pascal, 67084 Strasbourg, France
| | - Julie Salvi
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U1191, Université de Montpellier, LabEx 'Ion Channel Science and Therapeutics', 141 rue de la Cardonille, 34094 Montpellier, France
| | - Federica Bertaso
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U1191, Université de Montpellier, LabEx 'Ion Channel Science and Therapeutics', 141 rue de la Cardonille, 34094 Montpellier, France
| | - Ludivine Bernard
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U1191, Université de Montpellier, LabEx 'Ion Channel Science and Therapeutics', 141 rue de la Cardonille, 34094 Montpellier, France
| | - Philippe Lory
- Institut de Génomique Fonctionnelle, CNRS UMR 5203, INSERM U1191, Université de Montpellier, LabEx 'Ion Channel Science and Therapeutics', 141 rue de la Cardonille, 34094 Montpellier, France.
| | - Frederic Doussau
- Institut des Neurosciences Cellulaires et Intégratives-INCI CNRS-UPR 3212, 5 rue Blaise Pascal, 67084 Strasbourg, France
| | - Alexandre Mezghrani
- Institut des Neurosciences de Montpellier, INSERM U1051, Hôpital Saint Eloi - Bâtiment INM, 80 rue Augustin Fliche, 34091 Montpellier, France.
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Kumbhare D, Holloway KL, Baron MS. Parkinsonism and dystonia are differentially induced by modulation of different territories in the basal ganglia. Neuroscience 2017; 353:42-57. [DOI: 10.1016/j.neuroscience.2017.03.063] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Revised: 03/28/2017] [Accepted: 03/30/2017] [Indexed: 10/19/2022]
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11
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Woolley SC. Social context differentially modulates activity of two interneuron populations in an avian basal ganglia nucleus. J Neurophysiol 2016; 116:2831-2840. [PMID: 27628208 DOI: 10.1152/jn.00622.2016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2016] [Accepted: 09/08/2016] [Indexed: 11/22/2022] Open
Abstract
Basal ganglia circuits are critical for the modulation of motor performance across behavioral states. In zebra finches, a cortical-basal ganglia circuit dedicated to singing is necessary for males to adjust their song performance and transition between spontaneous singing, when they are alone ("undirected" song), and a performance state, when they sing to a female ("female-directed" song). However, we know little about the role of different basal ganglia cell types in this behavioral transition or the degree to which behavioral context modulates the activity of different neuron classes. To investigate whether interneurons in the songbird basal ganglia encode information about behavioral state, I recorded from two interneuron types, fast-spiking interneurons (FSI) and external pallidal (GPe) neurons, in the songbird basal ganglia nucleus area X during both female-directed and undirected singing. Both cell types exhibited higher firing rates, more frequent bursting, and greater trial-by-trial variability in firing when male zebra finches produced undirected songs compared with when they produced female-directed songs. However, the magnitude and direction of changes to the firing rate, bursting, and variability of spiking between when birds sat silently and when they sang undirected and female-directed song varied between FSI and GPe neurons. These data indicate that social modulation of activity important for eliciting changes in behavioral state is present in multiple cell types within area X and suggests that social interactions may adjust circuit dynamics during singing at multiple points within the circuit.
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Affiliation(s)
- Sarah C Woolley
- Department of Biology and Center for Brain, Language, and Music, McGill University, Montreal, Quebec, Canada
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12
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Kumbhare D, Chaniary KD, Baron MS. Preserved dichotomy but highly irregular and burst discharge in the basal ganglia in alert dystonic rats at rest. Brain Res 2015. [PMID: 26210616 DOI: 10.1016/j.brainres.2015.07.018] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Despite its prevalence, the underlying pathophysiology of dystonia remains poorly understood. Using our novel tri-component classification algorithm, extracellular neuronal activity in the globus pallidus (GP), STN, and the entopeduncular nucleus (EP) was characterized in 34 normal and 25 jaundiced dystonic Gunn rats with their heads restrained while at rest. In normal rats, neurons in each nucleus were similarly characterized by two physiologically distinct types: regular tonic with moderate discharge frequencies (mean rates in GP, STN and EP ranging from 35-41 spikes/s) or irregular at slower frequencies (17-20 spikes/s), with a paucity of burst activity. In dystonic rats, these nuclei were also characterized by two distinct principal neuronal patterns. However, in marked difference, in the dystonic rats, neurons were primarily slow and highly irregular (12-15 spikes/s) or burst predominant (14-17 spikes/s), with maintained modest differences between nuclei. In GP and EP, with increasing severity of dystonia, burstiness was moderately further increased, irregularity mildly further increased, and discharge rates mildly further reduced. In contrast, these features did not appreciably change in STN with worsening dystonia. Findings of a lack of bursting in GP, STN and EP in normal rats in an alert resting state and prominent bursting in dystonic Gunn rats suggest that cortical or other external drive is normally required for bursting in these nuclei and that spontaneous bursting, as seen in dystonia and Parkinson's disease, is reflective of an underlying pathophysiological state. Moreover, the extent of burstiness appears to most closely correlate with the severity of the dystonia.
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Affiliation(s)
- Deepak Kumbhare
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA; McGuire Research Institute, Hunter Holmes McGuire Veterans Affairs Medical Center, Richmond, VA 23249, USA
| | - Kunal D Chaniary
- Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA 23284, USA
| | - Mark S Baron
- Southeast Parkinson's Disease Research, Education and Clinical Center (PADRECC), Hunter Holmes McGuire Veterans Affairs Medical Center, 1201 Broad Rock Blvd, Richmond, VA 23249, USA; Department of Neurology, Virginia Commonwealth University Health System, Richmond, VA 23298, USA.
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