4.3 Article

Cell Type Specific Representation of Vibro-tactile Stimuli in the Mouse Primary Somatosensory Cortex

期刊

FRONTIERS IN NEURAL CIRCUITS
卷 12, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fncir.2018.00109

关键词

somatosensory cortex; vibro-tactile sensation; inhibitory cells; functional subnetworks; two-photon imaging

资金

  1. Core Research for Evolutional Science and Technology (CREST), Japan Agency for Medical Research and Development (AMED)
  2. Japan Society for the Promotion of Science (JSPS) KAKENHI [25221001, 25117004, 15K16573, 17K13276]
  3. Brain Mapping by Integrated Neurotechnologies for Disease Studies (Brain/MINDS)-AMED
  4. Ichiro Kanehara Foundation for the Promotion of Medical Sciences and Medical Care
  5. Uehara Memorial Foundation
  6. Grants-in-Aid for Scientific Research [17K13276, 15K16573] Funding Source: KAKEN

向作者/读者索取更多资源

Although the processing of whisker deflections in the barrel area of the rodent primary somatosensory cortex (S1) has been studied extensively, how cutaneous vibro-tactile stimuli are processed in the rodent Si outside the barrel area has not been fully examined. Particularly, the cell-type specific representation of multiple vibration frequencies in genetically identified inhibitory cells in the Si has not been examined. Using two-photon calcium imaging, we examined the responses to vibration stimuli of excitatory and inhibitory neurons in the Si hind limb area of male and female mice. The excitatory cells showed relatively sharp selectivity to vibration stimuli, whereas the inhibitory cells exhibited less selectivity. The excitatory and inhibitory cells with different preferred stimuli were intermingled in a salt and pepper manner. Furthermore, the noise correlation tended to be especially strong in excitatory -inhibitory and inhibitory-inhibitory cell pairs that have similar stimulus selectivity. These results suggest that excitatory cells tend to represent specific stimulus information and work together with similarly tuned inhibitory cells as a functionally connected network.

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