Resynchronization in neuronal network divided by femtosecond laser processing

Hosokawa, Chie; Kudoh, Suguru N.; Kiyohara, Ai; Taguchi, Takahisa

doi:10.1097/wnr.0b013e3282fdf6b3

Cited by 23 publications

(10 citation statements)

References 16 publications

(18 reference statements)

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“…VP propagation from one side of the detectable region to the other was indicated by the analysed data from the MEA. Complex neuronal networks found in animals do not exist in plants, and many signal patterns, such as bursting or synchronisation that have been widely studied in animal nerves1929 and brains30, have not been discovered or investigated in plants in situ . Considering the variations in the features of electrical signals in plants, different information (perhaps corresponding to different environmental stimuli, such as cold, heat, or cutting) might be transmitted through different VP signal types.…”

Section: Discussionmentioning

confidence: 99%

Spatio-temporal mapping of variation potentials in leaves of Helianthus annuus L. seedlings in situ using multi-electrode array

Zhao

Wang

Huang

et al. 2014

Sci Rep

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Damaging thermal stimuli trigger long-lasting variation potentials (VPs) in higher plants. Owing to limitations in conventional plant electrophysiological recording techniques, recorded signals are composed of signals originating from all of the cells that are connected to an electrode. This limitation does not enable detailed spatio-temporal distributions of transmission and electrical activities in plants to be visualised. Multi-electrode array (MEA) enables the recording and imaging of dynamic spatio-temporal electrical activities in higher plants. Here, we used an 8 × 8 MEA with a polar distance of 450 μm to measure electrical activities from numerous cells simultaneously. The mapping of the data that were recorded from the MEA revealed the transfer mode of the thermally induced VPs in the leaves of Helianthus annuus L. seedlings in situ. These results suggest that MEA can enable recordings with high spatio-temporal resolution that facilitate the determination of the bioelectrical response mode of higher plants under stress.

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Section: Discussionmentioning

confidence: 99%

Spatio-temporal mapping of variation potentials in leaves of Helianthus annuus L. seedlings in situ using multi-electrode array

Zhao

Wang

Huang

et al. 2014

Sci Rep

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“…Dissociated neuron was plated with a nominal density of 2500 cells/mm 2 onto a poly(ethylenimine)-coated multi-electrode dish (MED) probe (Alpha MED Scientific, Osaka, Japan). The probe consisted of 64 planar microelectrodes and 4 reference electrodes [Kudoh et al, 2007;Hosokawa et al, 2008;Ito et al, 2010]. Each electrode was 50×50 m 2 and the electrode spacing was 150 m.…”

Section: Experimental Procedures Cell Culture On Measmentioning

confidence: 99%

Xenon-induced inhibition of synchronized bursts in a rat cortical neuronal network

et al. 2012

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List of abbreviations:Xe, xenon; DIV, day in vitro; DMEM, Dulbecco's Modified Eagle Medium; MEA, multi-electrode array; MED, multi-electrode dish; GABAA, -aminobutyric acid type-A; NMDA, N-methyl-D-aspartate; SR, spike rate; SBR, synchronized-burst rate; SA, spike amplitude; SW, spike width; BD, burst duration; IBI, inter-burst interval, SIB, number of spikes in a burst 2 Abstract:Xenon (Xe) and other inert gases produce anesthesia via an inhibitory mechanism in neuronal networks. To better understand this mechanism, we measured the electrical signals from cultured rat cortical neuronal networks in a multi-electrode array (MEA) under an applied Xe pressure. We used the MEA to measure the firing of the neuronal network with and without Xe gas pressurized to 0.3 MPa. The MEA system monitored neuronal spikes on 16 electrodes (each 50×50 m 2 ) at a sampling rate of 20 kHz. The embryo rat cortical cells were first cultured on MEAs without Xe for approximately three weeks, at which time they produced synchronized bursts that indicate maturity. Then, with an applied Xe pressure, the synchronized bursts quickly ceased, whereas single spikes continued. The Xe-induced inhibition-recovery of neuronal network firing was reversible: after purging the Xe from the system, the synchronized bursts gradually resumed. Thus, Xe did not inhibit single neuron firing, yet reversibly inhibited the synaptic transmission. This finding agrees with the channel-blocker and a modified-hydrate hypothesis of anesthesia, but not the lipid-solubility hypothesis. (174 words)

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“…Stimulated spikes that were produced by bipolar pulses (10 μA, 100 μs × 2) from one channel (electrode) were recorded by an extracellular recording system with 64 channels (MED64, Alpha MED Scientific Inc.) with a sampling frequency of 20 kHz. These procedures were basically the same as those described previously [12], [13]. Raster plots were obtained by detecting the peaks of recorded spike responses with a prespecified threshold (5 times the root mean square of4noise, peak-to-peak Because we did not sort the spikes, the spike train from each electrode may be composed of spikes from several neuronal cells as shown in Fig.1.…”

Section: Code Spectrum Of a Cultured Neural Networkmentioning

confidence: 99%

Base of brain intelligence: Information flow in cultured neuronal networks and its simulation on 2D mesh network

Tamura

Nishitani

Hosokawa³

et al. 2015

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

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It's important for understanding brain intelligence to investigate how the signal/ information is flown in neuronal network. We observed spike trains obtained by one-shot electrical stimulation with 8 × 8 multi-electrodes in cultured neuronal networks. Each electrode is considered to collect spikes from several neurons. We then constructed code flow maps as movies of the electrode array to observe the code flow especially of "1101" and "1011." To quantify the flow, we calculated the cross-correlations of the maximum direction of the codes with lengths less than 8. Normalized cross-correlations in the maximum direction were almost constant irrespective of code. Thus, the analysis suggested that the local codes for electrode flow maintained the code shape to some extent and conveyed information in the neural network. Then we made simulation of such code flow, and could estimate rough characteristics of neurons including refractory period and distribution of connection weights between neurons.

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Resynchronization in neuronal network divided by femtosecond laser processing

Cited by 23 publications

References 16 publications

Spatio-temporal mapping of variation potentials in leaves of Helianthus annuus L. seedlings in situ using multi-electrode array

Spatio-temporal mapping of variation potentials in leaves of Helianthus annuus L. seedlings in situ using multi-electrode array

Xenon-induced inhibition of synchronized bursts in a rat cortical neuronal network

Base of brain intelligence: Information flow in cultured neuronal networks and its simulation on 2D mesh network

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