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Dive into the research topics where Ryosuke Matsumura is active.

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Featured researches published by Ryosuke Matsumura.


Applied Physics Letters | 2016

Unidirectional signal propagation in primary neurons micropatterned at a single-cell resolution

Hideaki Yamamoto; Ryosuke Matsumura; H. Takaoki; Shutaro Katsurabayashi; Ayumi Hirano-Iwata; Michio Niwano

The structure and connectivity of cultured neuronal networks can be controlled by using micropatterned surfaces. Here, we demonstrate that the direction of signal propagation can be precisely controlled at a single-cell resolution by growing primary neurons on micropatterns. To achieve this, we first examined the process by which axons develop and how synapses form in micropatterned primary neurons using immunocytochemistry. By aligning asymmetric micropatterns with a marginal gap, it was possible to pattern primary neurons with a directed polarization axis at the single-cell level. We then examined how synapses develop on micropatterned hippocampal neurons. Three types of micropatterns with different numbers of short paths for dendrite growth were compared. A normal development in synapse density was observed when micropatterns with three or more short paths were used. Finally, we performed double patch clamp recordings on micropatterned neurons to confirm that these synapses are indeed functional, and that the neuronal signal is transmitted unidirectionally in the intended orientation. This work provides a practical guideline for patterning single neurons to design functional neuronal networks in vitro with the direction of signal propagation being controlled.


Applied Physics Letters | 2016

An electrically resistive sheet of glial cells for amplifying signals of neuronal extracellular recordings

Ryosuke Matsumura; Hideaki Yamamoto; Michio Niwano; Ayumi Hirano-Iwata

Electrical signals of neuronal cells can be recorded non-invasively and with a high degree of temporal resolution using multielectrode arrays (MEAs). However, signals that are recorded with these devices are small, usually 0.01%-0.1% of intracellular recordings. Here, we show that the amplitude of neuronal signals recorded with MEA devices can be amplified by covering neuronal networks with an electrically resistive sheet. The resistive sheet used in this study is a monolayer of glial cells, supportive cells in the brain. The glial cells were grown on a collagen-gel film that is permeable to oxygen and other nutrients. The impedance of the glial sheet was measured by electrochemical impedance spectroscopy, and equivalent circuit simulations were performed to theoretically investigate the effect of covering the neurons with such a resistive sheet. Finally, the effect of the resistive glial sheet was confirmed experimentally, showing a 6-fold increase in neuronal signals. This technique feasibly amplifies signals of MEA recordings.


Scientific Reports | 2018

Dependence and Homeostasis of Membrane Impedance on Cell Morphology in Cultured Hippocampal Neurons

Ryosuke Matsumura; Hideaki Yamamoto; Takeshi Hayakawa; Shutaro Katsurabayashi; Michio Niwano; Ayumi Hirano-Iwata

The electrical impedance of cell membranes is important for excitable cells, such as neurons, because it strongly influences the amount of membrane potential change upon a flow of ionic current across the membrane. Here, we report on an investigation of how neuronal morphology affects membrane impedance of cultured hippocampal neurons. Microfabricated substrates with patterned scaffolding molecules were used to restrict the neurite growth of hippocampal neurons, and the impedance was measured via whole-cell patch-clamp recording under the inhibition of voltage-dependent ion channels. Membrane impedance was found to depend inversely on the dendrite length and soma area, as would be expected from the fact that its electrical property is equivalent to a parallel RC circuit. Moreover, we found that in biological neurons, the membrane impedance is homeostatically regulated to impede changes in the membrane area. The findings provide direct evidence on cell-autonomous regulation of neuronal impedance and pave the way towards elucidating the mechanism responsible for the resilience of biological neuronal networks.


AIP Advances | 2016

Interaction of plasma-generated water cluster ions with chemically-modified Si surfaces investigated by infrared absorption spectroscopy

Ayumi Hirano-Iwata; Ryosuke Matsumura; Teng Ma; Yasuo Kimura; Michio Niwano; Kazuo Nishikawa

We have investigated the interaction of water cluster ions generated by discharge plasma, with chemically modified Si surfaces using infrared absorption spectroscopy in the multiple internal reflection geometry. We observe that water cluster ions readily adsorb on SiO2-covered Si surfaces to form waterdroplets. We demonstrate that positively- and negatively-charged cluster ions adsorb on the SiO2-covered Si surface in different manners, indicating ionic interaction of the waterdroplets with the negatively-charged SiO2surface.Waterdroplets formed on the protein-coatedsurface rupture the amide bond of the proteins, suggesting the function of protein decomposition of water cluster ions.


Electrochemistry Communications | 2014

Interference between field excitatory postsynaptic potentials and simultaneously recorded chronoamperometric l-glutamate currents in mouse hippocampal slices

Ayumi Hirano-Iwata; Ryosuke Matsumura; Ryuta Tezuka; Michio Niwano; T.V.P. Bliss; Masao Sugawara


The Japan Society of Applied Physics | 2018

Geometrical control of neuronal function using microfabricated substrates

Hideaki Yamamoto; Ryosuke Matsumura; Takeshi Hayakawa; Shutaro Katsurabayashi; Michio Niwano; Ayumi Hirano-Iwata


The Japan Society of Applied Physics | 2018

Input-output characteristics of neuronal network units with defined connectivity (II)

Takeshi Hayakawa; Hideaki Yamamoto; Ryosuke Matsumura; Ayumi Hirano-Iwata


The Japan Society of Applied Physics | 2017

Stable culture of patterned neuronal networks on microcontact printed proteins

Hideaki Yamamoto; Ryosuke Matsumura; Katsuya Ide; Takeshi Hayakawa; Kei Wakimura; Michio Niwano; Ayumi Hirano-Iwata


The Japan Society of Applied Physics | 2017

Computational modeling of cultured neuronal networks with modular geometry

Hideaki Yamamoto; Satoshi Moriya; Katsuya Ide; Ryosuke Matsumura; Hisanao Akima; Shigeru Kubota; Takashi Tanii; Shigeo Sato; Michio Niwano; Ayumi Hirano-Iwata


The Japan Society of Applied Physics | 2017

Controlling modularity of cultured neuronal networks using micropatterned surfaces

Katsuya Ide; Hideaki Yamamoto; Ryosuke Matsumura; Takashi Tanii; Tatsuo Yoshinobu; Michio Niwano; Ayumi Hirano-Iwata

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