Synaptic Connectivity in Engineered Neuronal Networks

Author(s):  
Peter Molnar ◽  
Jung-Fong Kang ◽  
Neelima Bhargava ◽  
Mainak Das ◽  
James J. Hickman
2020 ◽  
Vol 14 (1) ◽  
pp. 59-62
Author(s):  
Mary Guaraldi ◽  
Sangmook Lee ◽  
Thomas B. Shea

Background and Objective: Glutamate neurotoxicity is associated with a wide range of disorders and can impair synaptic function. Failure to clear extracellular glutamate fosters additional cycles and spread of regional hyperexcitation. Methods and Results: Using cultured murine cortical neurons, herein it is demonstrated that synaptic signals generated by cultures undergoing glutamate-induced hyperactivity can invoke similar effects in other cultures not exposed to elevated glutamate. Conclusion: Since sequential synaptic connectivity can encompass extensive cortical regions, this study presents a potential additional contributor to the spread of damage resulting from glutamate excitotoxicity and should be considered in attempts to mitigate neurodegeneration.


2014 ◽  
Vol 1557 ◽  
pp. 180-189 ◽  
Author(s):  
Jeannette Hofmeijer ◽  
Alex T.B. Mulder ◽  
Ana C. Farinha ◽  
Michel J.A.M. van Putten ◽  
Joost le Feber

Author(s):  
Peter Molnar ◽  
Jung-Fong Kang ◽  
Neelima Bhargava ◽  
Mainak Das ◽  
James J. Hickman

2002 ◽  
Vol 117 (2) ◽  
pp. 123-131 ◽  
Author(s):  
Claire Wyart ◽  
Christophe Ybert ◽  
Laurent Bourdieu ◽  
Catherine Herr ◽  
Christelle Prinz ◽  
...  

2000 ◽  
Vol 120 (2) ◽  
pp. 223-231 ◽  
Author(s):  
Qi-Ying Liu ◽  
Margaret Coulombe ◽  
Judith Dumm ◽  
Kara M Shaffer ◽  
Anne E Schaffner ◽  
...  

Author(s):  
Peter Molnar ◽  
Jung-Fong Kang ◽  
Neelima Bhargava ◽  
Mainak Das ◽  
James J. Hickman

2014 ◽  
Vol 34 (5) ◽  
pp. 757-776 ◽  
Author(s):  
Peter Verstraelen ◽  
Isabel Pintelon ◽  
Rony Nuydens ◽  
Frans Cornelissen ◽  
Theo Meert ◽  
...  

1997 ◽  
Vol 77 (6) ◽  
pp. 3218-3225 ◽  
Author(s):  
Thomas H. Müller ◽  
D. Swandulla ◽  
H. U. Zeilhofer

Müller, Thomas H., D. Swandulla, and H. U. Zeilhofer. Synaptic connectivity in cultured hypothalamic neuronal networks. J. Neurophysiol. 77: 3218–3225, 1997. We have developed a novel approach to analyze the synaptic connectivity of spontaneously active networks of hypothalamic neurons in culture. Synaptic connections were identified by recording simultaneously from pairs of neurons using the whole cell configuration of the patch-clamp technique and testing for evoked postsynaptic current responses to electrical stimulation of one of the neurons. Excitatory and inhibitory responses were distinguished on the basis of their voltage and time dependence. The distribution of latencies between presynaptic stimulation and postsynaptic response showed multiple peaks at regular intervals, suggesting that responses via both monosynaptic and polysynaptic paths were recorded. The probability that an excitatory event is transmitted to another excitatory neuron and results in an above-threshold stimulation was found to be only one in three to four. This low value indicates that in addition to evoked synaptic responses other sources of excitatory drive must contribute to the spontaneous activity observed in these networks. The various types of synaptic connections (excitatory and inhibitory, monosynaptic, and polysynaptic) were counted, and the observations analyzed using a probabilistic model of the network structure. This analysis provides estimates for the ratio of inhibitory to excitatory neurons in the network (1:1.5) and for the ratio of postsynaptic cells receiving input from a single GABAergic or glutamatergic neuron (3:1). The total number of inhibitory synaptic connections was twice that of excitatory connections. Cell pairs mutually connected by an excitatory and an inhibitory synapse occurred significantly more often than predicted by a random process. These results suggests that the formation of neuronal networks in vitro is controlled by cellular mechanisms that favor inhibitory connections in general and specifically enhance the formation of reciprocal connections between pairs of excitatory and inhibitory neurons. These mechanisms may contribute to network formation and function in vivo.


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