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Voluntary Movements

開催日 2014/9/11
時間 11:00 - 12:00
会場 Poster / Exhibition(Event Hall B)

Different modulation of common motor information in rodent primary and secondary motor cortices

  • P1-151
  • 齊木 愛希子 / Akiko Saiki:1,2 木村 梨絵 / Rie Kimura:1,2 佐村 俊和 / Toshikazu Samura:1,3 塚元 葉子 / Yoko Fujiwara-Tsukamoto:1,2,4 酒井 裕 / Yutaka Sakai:1 礒村 宜和 / Yoshikazu Isomura:1,2 
  • 1:玉川大学脳科学研究所 / Brain Science Institute, Tamagawa University, Tokyo, Japan 2:科学技術振興機構・CREST / JST-CREST, Tokyo, Japan 3:山口大院・医・応用分子生命科学 / Dept Applied Molecular Biosci, Grad Sch Med, Yamaguchi Univ, Yamaguchi, Japan 4:同志社大・脳科学研究科 / Grad Sch Brain Sci, Doshisha Univ, Kyoto, Japan 

Rodents have primary and secondary motor cortices that are involved in the execution of voluntary movements via their direct projections to the spinal cord in parallel. However, it is unclear whether the rodent secondary motor cortex has any motor function distinct from the primary motor cortex to properly control voluntary movements. In this study, we quantitatively examined neuronal activity in the caudal forelimb area (CFA) of the primary motor cortex and rostral forelimb area (RFA) of the secondary motor cortex in head-fixed rats performing forelimb movements (pushing, holding, and pulling a lever). We found virtually no large differences between CFA and RFA neurons, regardless of neuron subtypes, not only in their basal spiking properties but also in the time-course, amplitude, and direction preference of their functional activation for simple forelimb movements. However, the RFA neurons, as compared with the CFA neurons, showed obviously a greater susceptibility of their functional activation to an alternation in a behavioral situation, which might be accompanied by some internal adaptations without affecting the motor outputs. Our results suggest that, although the CFA and RFA neurons may commonly process fundamental motor information to control forelimb movements properly, the RFA neurons are functionally differentiated, in particular, to integrate the motor information with internal state information such as attention and motivation.

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