結合強度推定に基づくニューロン種の分類―ドーパミンニューロンを含む培養神経回路網の電気活動―

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2013/09/01

タイトル(英語): Neuron Type Sorting Based on Connection-strength Estimation―Electrical Activity of Cultured Neuronal Networks including Dopamine Neurons―

著者名: 磯村　拓哉（東京大学大学院新領域創成科学研究科人間環境学専攻），武内　彬正（東京大学大学院新領域創成科学研究科人間環境学専攻），榛葉　健太（東京大学大学院新領域創成科学研究科人間環境学専攻），小谷　潔（東京大学大学院新領域創成科学研究科人間環境学専攻），神保　泰彦（東京大学大学院新領域創成科学研究科人間環境学専攻）

著者名(英語): Takuya Isomura (Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo), Akimasa Takeuchi (Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo), Kenta Shimba (Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo), Kiyoshi Kotani (Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo), Yasuhiko Jimbo (Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo)

キーワード: モデルベース結合強度推定，ニューロン種分類，ドーパミン（DA）ニューロン，微小電極アレイ（MEA）　　model-based connection-strength estimation，neuron type sorting，dopamine (DA) neurons，microelectrode array (MEA)

要約(英語): Connection-strength estimation based on multi-neuron spike data enables us to estimate effective connectivity between neurons and is widely used for investigating information processing in neuronal networks. However, most previous studies have not focused on the networks which partially consist of modulator neurons. We applied connection-strength estimation to categorize neuron types from multi-neuron spike data which were recorded from cultivated neuronal networks including dopamine ones. Substantia nigra and ventral tegmental area cells obtained from rat embryos were cultivated on microelectrode array substrate. Spontaneous electrical activity was observed after 4 weeks in culture. Connection strengths were estimated at the state without antagonists and that with some antagonists. We sorted neurons into 3 neuron types which are assumed as glutamate, GABA, and dopamine ones. Some differences of the activity pattern were observed between each neuron type. These results suggest that neuron type sorting based on connection-strength estimation can be applied to estimate neurons in the networks including dopamine ones.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.133 No.9 （2013） 特集：エージェントシミュレーションの最新動向

本誌掲載ページ: 1806-1813 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/133/9/133_1806/_article/-char/ja/