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KMID : 0811720010050000160
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Korean Journal of Physiology & Pharmacology
2001 Volume.5 No. 0 p.160 ~ p.0
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Neuronal Response Type Classification and Network Analysis in the SI Somatosensory Cortex of Rats
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Kwon Joo-Hyoung
Kim Sang-Eok
Shin Hyung-Cheul
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Abstract
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Different profiles of evoked single neuronal responses to the peripheral stimulation were suggested in the layer IV of the primary somatosensory (SI) cortex of rats (Chapin et. al. 1980). However, neither their exact profiles nor neuronal networks among different groups are clearly understood. In this study, we classified neuronal responses based on PSTH analysis, and we tried cross-correlation analysis among each type of neurons showing characteristic response properties. A total of 53 single neurons were isolated through multichannel single unit recording. Four types of response profiles were classified in this study. The first is type A, which has an excitatory E1 peak from 7-15 ms post-stimulus. Overall, 60% of neurons were classified as type A. The second is type B, which shows E1 peak followed by a period of suppressed spontaneous responses that lasts for about 100ms. This type of inhibitory response is known as post-excitation inhibition (PEI). Type B constitutes about 26% of all neurons. The third is type C which shows E1, PEI and later E2 response. This E2 response ranges between 100 ms and 200 ms post-stimulus. The amplitude of E2 response is lower than 50% of E1 peak and type C constitutes about 10% of all neurons examined. The last type is type D and it is similar to type C but has no PEI and constitutes about 4% of all neurons. Cross-correlation analysis shows that type D neurons exhibit impressively high rate of interactions between other types of neurons and among same type of neurons as well. On the other hand, type C neurons show quite low rate of interactions with other types of neurons. Cross- correlation analysis applied on spontaneous response shows similar results. These results suggest that: 1) type D neurons may play a role to integrate input signals from many other types of neurons and type C neurons may function to sharpen the stimulus input. 2) input processing at the layer IV of the SI cortex may involve concerted actions of extra-cortical as well as intra-cortical neural networks.
Source: Korean J Physiol Pharmacol.2001 Dec;5(Suppl II):S91
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