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. Although each individual neuron was weakly and diversely tuned to multiple information types, 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. In αCaMKII heterozygous knockout mice, an animal model of neuropsychiatric disorders, including intellectual disability and bipolar disorder, 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 diffusely and independently distributed in DG neurons.
See details in Murano T, Nakajima R, Nakao A, Hirata N, Amemori S, Murakami A, Kamitani Y, Yamamoto J, Miyakawa T. Multiple types of navigational information are independently encoded in the population activities of the dentate gyrus neurons. Proc Natl Acad Sci U S A. 2022 Aug 9;119(32):e2106830119. doi: 10.1073/pnas.2106830119. Epub 2022 Aug 5. PMID: 35930667.
(See details in Murano T, et. al. (2020) BioRxiv. https://doi.org/10.1101/2020.06.09.141572 )
Tomoyuki Murano, Ryuichi Nakajima, Akito Nakao, Nao Hirata, Satoko Amemori, Akira Murakami, Yukiyasu Kamitani, Jun Yamamoto, Tsuyoshi Miyakawa (2022) Multiple types of navigational information are independently encoded in the population activities of the dentate gyrus neurons., Proceedings of the National Academy of Sciences of the United States of America, Volume 119, Number 32, pp. e2106830119
Published in 2022 Aug 9 (Electronic publication in Aug. 5, 2022, midnight )
(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 Ca(2+) 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 (alphaCaMKII) 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.(MeSH Terms)
Murano, Tomoyuki, Nakajima, Ryuichi, Nakao, Akito, Hirata, Nao, Amemori, Satoko, Murakami, Akira, Kamitani, Yukiyasu, Yamamoto, Jun, Miyakawa, Tsuyoshi (2020/01/01), Multiple types of navigational information are independently encoded in the population activities of the dentate gyrus neurons, 2020.06.09.141572
Published in 2020/01/01
(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.Competing Interest StatementThe authors have declared no competing interest.