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Toward assessing the functional connectivity of spinal neurons
Zaback, Martin Tiwari, Ekta Krupka, Alexander J. Marchionne, Francesca Negro, Francesco Thompson, Christopher K.
Zaback, Martin
Tiwari, Ekta
Krupka, Alexander J.
Marchionne, Francesca
Negro, Francesco
Thompson, Christopher K.
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Journal article
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2022-03-03
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Health and Rehabilitation Sciences
Bioengineering
Bioengineering
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https://doi.org/10.3389/fncir.2022.839521
Abstract
Spinal interneurons play a critical role in motor output. A given interneuron may receive convergent input from several different sensory modalities and descending centers and relay this information to just as many targets. Therefore, there is a critical need to quantify populations of spinal interneurons simultaneously. Here, we quantify the functional connectivity of spinal neurons through the concurrent recording of populations of lumbar interneurons and hindlimb motor units in the in vivo cat model during activation of either the ipsilateral sural nerve or contralateral tibial nerve. Two microelectrode arrays were placed into lamina VII, one at L3 and a second at L6/7, while an electrode array was placed on the surface of the exposed muscle. Stimulation of tibial and sural nerves elicited similar changes in the discharge rate of both interneurons and motor units. However, these same neurons showed highly significant differences in prevalence and magnitude of correlated activity underlying these two forms of afferent drive. Activation of the ipsilateral sural nerve resulted in highly correlated activity, particularly at the caudal array. In contrast, the contralateral tibial nerve resulted in less, but more widespread correlated activity at both arrays. These data suggest that the ipsilateral sural nerve has dense projections onto caudal lumbar spinal neurons, while contralateral tibial nerve has a sparse pattern of projections.
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Zaback M, Tiwari E, Krupka AJ, Marchionne F, Negro F, Lemay MA and Thompson CK (2022) Toward Assessing the Functional Connectivity of Spinal Neurons. Front. Neural Circuits 16:839521. doi: 10.3389/fncir.2022.839521
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Frontiers in Neural Circuits, Vol. 16
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