研究者業績

Tomoyuki Murano

  (村野 友幸)

Profile Information

Affiliation
Research Promotion Headquarters, Division of Comprehensive Medical Science, Center for Medical Science, Division of Systems Medical Science, Fujita Health University
Degree
bachelor(The University of Tokyo)
phD(The Graduate University for Advanced Studies)

Contact information
tomoyuki.muranofujita-hu.ac.jp
ORCID ID
 https://orcid.org/0000-0002-9351-737X
J-GLOBAL ID
202101008576743119
researchmap Member ID
B000249228

External link

神経の過剰な興奮が精神疾患の病態形成に及ぼす影響について研究しています。


Papers

 10
  • Tomoyuki Murano, Hideo Hagihara, Katsunori Tajinda, Keizo Takao, Yoshihiro Takamiya, Kaoru Katoh, Alfred J. Robison, Mitsuyuki Matsumoto, Masakazu Namihira, Tsuyoshi Miyakawa
    Nature Communications, 17 5881, Jul 17, 2026  Peer-reviewedLead author
  • Tomoyuki Murano, Hideo Hagihara, Katsunori Tajinda, Keizo Takao, Yoshihiro Takamiya, Kaoru Katoh, Alfred J. Robison, Mitsuyuki Matsumoto, Masakazu Namihira, Tsuyoshi Miyakawa
    May 8, 2025  Lead author
  • Hideo Hagihara, Tomoyuki Murano, Tsuyoshi Miyakawa
    Frontiers in Psychiatry, 14 1151480, May 2, 2023  Peer-reviewed
  • Tomoyuki Murano, Ryuichi Nakajima, Akito Nakao, Nao Hirata, Satoko Amemori, Akira Murakami, Yukiyasu Kamitani, Jun Yamamoto, Tsuyoshi Miyakawa
    Proceedings of the National Academy of Sciences of the United States of America, 119(32) e2106830119, Aug 9, 2022  Peer-reviewedLead author
    The dentate gyrus (DG) plays critical roles in cognitive functions, such as learning, memory, and spatial coding, and its dysfunction is implicated in various neuropsychiatric disorders. However, it remains largely unknown how information is represented in this region. Here, we recorded neuronal activity in the DG using Ca2+ imaging in freely moving mice and analyzed this activity using machine learning. The activity patterns of populations of DG neurons enabled us to successfully decode position, speed, and motion direction in an open field, as well as current and future location in a T-maze, and each individual neuron was diversely and independently tuned to these multiple information types. Our data also showed that each type of information is unevenly distributed in groups of DG neurons, and different types of information are independently encoded in overlapping, but different, populations of neurons. In alpha-calcium/calmodulin-dependent kinase II (αCaMKII) heterozygous knockout mice, which present deficits in spatial remote and working memory, the decoding accuracy of position in the open field and future location in the T-maze were selectively reduced. These results suggest that multiple types of information are independently distributed in DG neurons.
  • Tomoyuki Murano, Ryuichi Nakajima, Akito Nakao, Nao Hirata, Satoko Amemori, Akira Murakami, Yukiyasu Kamitani, Jun Yamamoto, Tsuyoshi Miyakawa
    Jun 9, 2020  Lead author
    Abstract The dentate gyrus (DG) plays critical roles in cognitive functions such as learning, memory, and spatial coding, and its dysfunction is implicated in various neuropsychiatric disorders. However, it remains largely unknown how information is represented in this region. Here, we recorded neuronal activity in the DG using Ca2+imaging in freely moving mice and analysed this activity using machine learning. The activity patterns of populations of DG neurons enabled us to successfully decode position, speed, and motion direction in an open field as well as current and future location in a T-maze, and each individual neuron was diversely and independently tuned to these multiple information types. In αCaMKII heterozygous knockout mice, which present deficits in spatial remote and working memory, the decoding accuracy of position in the open field and future location in the T-maze were selectively reduced. These results suggest that multiple types of information are independently distributed in DG neurons.

Presentations

 19

Teaching Experience

 1

Research Projects

 4