Network Architecture of Gap Junction-Coupled Neuronal Linkage in the Striatum

Fukuda, Takahiro

doi:10.1523/jneurosci.4418-08.2009

Cited by 79 publications

(53 citation statements)

References 50 publications

(68 reference statements)

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“…This suggests that FSI-MSN interactions may also occur over long timescales relative to single action potentials because of polysynaptic network effects in the striatum. FSI-FSI connectivity is complex as it involves both chemical and electrical synapses (Berke 2011;Fukuda 2009;Kita et al 1990;Russo et al 2013), whose collective influence on network activity in the intact brain or behavior is not well understood.…”

Section: Discussionmentioning

confidence: 99%

Temporal correlations among functionally specialized striatal neural ensembles in reward-conditioned mice

Bakhurin

Mac

Golshani

et al. 2016

Journal of Neurophysiology

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Bakhurin KI, Mac V, Golshani P, Masmanidis SC. Temporal correlations among functionally specialized striatal neural ensembles in reward-conditioned mice. J Neurophysiol 115: 1521-1532, 2016. First published January 13, 2016; doi:10.1152/jn.01037.2015.-As the major input to the basal ganglia, the striatum is innervated by a wide range of other areas. Overlapping input from these regions is speculated to influence temporal correlations among striatal ensembles. However, the network dynamics among behaviorally related neural populations in the striatum has not been extensively studied. We used large-scale neural recordings to monitor activity from striatal ensembles in mice undergoing Pavlovian reward conditioning. A subpopulation of putative medium spiny projection neurons (MSNs) was found to discriminate between cues that predicted the delivery of a reward and cues that predicted no specific outcome. These cells were preferentially located in lateral subregions of the striatum. Discriminating MSNs were more spontaneously active and more correlated than their nondiscriminating counterparts. Furthermore, discriminating fast spiking interneurons (FSIs) represented a highly prevalent group in the recordings, which formed a strongly correlated network with discriminating MSNs. Spike time cross-correlation analysis showed the existence of synchronized activity among FSIs and feedforward inhibitory modulation of MSN spiking by FSIs. These findings suggest that populations of functionally specialized (cue-discriminating) striatal neurons have distinct network dynamics that sets them apart from nondiscriminating cells, potentially to facilitate accurate behavioral responding during associative reward learning.

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Section: Discussionmentioning

confidence: 99%

Temporal correlations among functionally specialized striatal neural ensembles in reward-conditioned mice

Bakhurin

Mac

Golshani

et al. 2016

Journal of Neurophysiology

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“…5). This was surprising, not least because adjoining FSIs are electrically coupled together by dendritic gap junctions (e.g., Koós and Tepper, 1999;Fukuda, 2009)-although recent simulations suggest that these gap junctions do not normally synchronize the striatal FSI network (Hjorth et al, 2009). While individual FSIs can show phase locking to a range of cortical-striatal rhythms, including ϳ80 Hz LFP oscillations provoked by rewards (Berke, 2005(Berke, , 2009, such entrainment also appears to reflect particular combinations of cortical inputs rather than a general feature of striatal organization.…”

Section: Role Of Interneurons In Transforming Cortical Input To Striamentioning

confidence: 99%

Corticostriatal Interactions during Learning, Memory Processing, and Decision Making

Pennartz¹,

Berke²,

Graybiel³

et al. 2009

J. Neurosci.

193

125

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This mini-symposium aims to integrate recent insights from anatomy, behavior, and neurophysiology, highlighting the anatomical organization, behavioral significance, and information-processing mechanisms of corticostriatal interactions. In this summary of topics, which is not meant to provide a comprehensive survey, we will first review the anatomy of corticostriatal circuits, comparing different ways by which "loops" of cortical-basal ganglia circuits communicate. Next, we will address the causal importance and systems-neurophysiological mechanisms of corticostriatal interactions for memory, emphasizing the communication between hippocampus and ventral striatum during contextual conditioning. Furthermore, ensemble recording techniques have been applied to compare information processing in the dorsal and ventral striatum to predictions from reinforcement learning theory. We will next discuss how neural activity develops in corticostriatal areas when habits are learned. Finally, we will evaluate the role of GABAergic interneurons in dynamically transforming cortical inputs into striatal output during learning and decision making.

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“…So-called small-world (Watts & Strogatz, 1998) and scale-free networks (Barabási & Albert, 1999) have been found within diverse biological systems, such as intracellular metabolic networks (Jeong et al 2000;Albert, 2005), neural networks (Buzsáki et al 2004;Bullmore & Sporns, 2009) or interconnectedness of human diseases (Goh et al 2007). However, except for neuronal networks (Majewska & Yuste, 2001;Fukuda, 2009;Sun et al 2011;Gosak et al 2012), the structural arrangement of signalling connections between cells via gap junctions has not yet received much attention from the network perspective, despite the fact that considering cells as nodes and intercellular connections as links represents a well-founded set-up, thus indicating that tissues can be regarded as a spatial network. Furthermore, it has often been neglected that in real tissues the topology of cellular connectivity can exhibit complexity (Wang et al 2010;Stožer et al 2013), with noticeable heterogeneity in the number of connections between individual cells (Niessen et al 2000;Long et al 2012).…”

Section: Introductionmentioning

confidence: 99%

The influence of gap junction network complexity on pulmonary artery smooth muscle reactivity in normoxic and chronically hypoxic conditions

Gosak¹,

Guibert²,

Billaud³

et al. 2013

Experimental Physiology

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New Findings r What is the central question of this study?Experimental results on intrapulmonary arteries indicate that the relationship between gap junctional intercellular communication and its functional involvement in tissue reactivity is very complex, both in normoxic and in chronically hypoxic conditions. The relationship between the gap junction network and vasoreactivity is poorly known and needs to be explored, including theoretical modelling approaches. r What is the main finding and its importance?Our results indicate that the role of gap junctions and their contribution to intrapulmonary artery reactivity depends crucially on the topology of the gap junctional communication network. In normoxia, myocytes are connected in a complex network, whereas chronic hypoxia is related to loss of the network complexity, leading to hypersensitivity.Experiments on intrapulmonary arteries (IPAs) isolated from rats maintained in normoxia and chronic hypobaric hypoxia showed that in normoxia, the IPA contractile sensitivity to KCl was not modified by gap junction inhibition. In contrast, chronic hypoxia induced an endothelium-independent hypersensitivity, which was suppressed by gap junction inhibition. For the theoretical analysis of these results, we developed a model of interconnected myocytes. Given that smooth muscle cells in IPAs are known to communicate via gap junctions, we regard the cytoarchitecture of the IPA as a spatial network, in which nodes represent individual smooth muscle cells and the links signify intercellular communication. A single-cell model that drives the dynamics of individual nodes includes the major elements of voltage-dependent Ca 2+ signalling. In addition, interindividual variability of SMCs is introduced by distributing the reversal potentials for K + . Cell-to-cell connection consists of passive Ca 2+ diffusion and electrical coupling, and connection between cells is determined by the topology of the intercellular network. Model predictions indicate that the experimental results can be explained by topological modifications and not by changes in the number of gap junctions. According to the model, in normoxia the myocytes are connected in a complex network, whereas chronic hypoxia is related to loss of complexity, leading to hypersensitivity. Our results thus indicate that chronic

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Network Architecture of Gap Junction-Coupled Neuronal Linkage in the Striatum

Cited by 79 publications

References 50 publications

Temporal correlations among functionally specialized striatal neural ensembles in reward-conditioned mice

Temporal correlations among functionally specialized striatal neural ensembles in reward-conditioned mice

Corticostriatal Interactions during Learning, Memory Processing, and Decision Making

The influence of gap junction network complexity on pulmonary artery smooth muscle reactivity in normoxic and chronically hypoxic conditions

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