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Meg 2100

Manufactured by Nihon Kohden
Sourced in Japan

The MEG-2100 is a magnetoencephalography (MEG) system designed for clinical and research applications. It is capable of recording magnetic field signals generated by neuronal activity within the brain. The MEG-2100 utilizes an array of highly sensitive superconducting quantum interference devices (SQUIDs) to detect these magnetic fields, providing a non-invasive method for studying brain function.

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8 protocols using meg 2100

1

Conditioned Fear Response in Mice

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The conditioning apparatus consisted of a restraining device enclosed within a darkened sound-attenuating chamber. The chamber contained two speakers mounted on a two-tier rack. The heart rates of the mice being conditioned were amplified using the implanted chronic electrode connected to an amplifier (MEG-2100; Nihon Kohden, Tokyo, Japan). The output signal from the amplifier was divided into two: one part was monitored on an oscilloscope (VC-6725; Hitachi, Tokyo, Japan) and the other was digitized using an analog to digital converter (MacLab 8s; AD Instruments, Dunedin, New Zealand) and stored on a computer at a 1 kHz sampling frequency. A conditioning (tone) stimulus (CS) and unconditioned (electrical shock) stimulus were delivered using a programmable pulse generator (Master 8; A.M.P.I., Jerusalem, Israel). The tone stimulus was generated by a synthesizer (1941-Wave-Factory; NF Corporation, Yokohama, Japan), amplified by a two-channel power amplifier (SRP-P150; Sony, Tokyo, Japan), and delivered to the mice through two speakers. The sound intensity was measured with a sound-level meter. The unconditioned stimulus was delivered using an electrical stimulator (SEN-2201; Nihon Kohden) connected to two shock electrodes secured around the tail of each mouse.
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2

Multiunit Discharge Recording from PMC

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Multiunit discharges were recorded from the PMC with a monopolar electrode (resistance approximately 1 MΩ) using an AC preamplifier (MEG-2100, Nihon Kohden, high cut 3 kHz, low cut 300 Hz). Its output was digitized, and the discharge rates were determined.
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3

Gait Kinematics and Muscle Activity Measurement

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The surface electrodes recording the EMG activity were placed over the bellies of the left RF, BF, SOL, and TA. The distance between the electrodes was 2 cm. The signals from those electrodes were amplified via amplifiers with band-pass filter between 50 Hz and 1 kHz (MEG-2100; Nihon Kohden, Tokyo, Japan). A foot switch was attached over the tip of each big toe to detect the toe off (TO). An accelerometer was placed on the walkway 1 to detect the first right heel contact (HC). Another accelerometer was placed on the support surface of the platform to detect the left HC over the support surface of the platform. The other accelerometer was placed on the walkway 2 to detect the second right HC. The analogue signals from those sensors were digitized at a sampling rate of 1 kHz (PowerLab/8sp and 2sp; ADInstruments, Colorado Spring, CO, USA). The digitized signals were stored on a personal computer.
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4

Nerve Activity Recording in Aging Rats

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Single unitary afferent nerve activity was recorded from CBPN in five young adult rats and four aged rats. The CBPN was separated either in the prone position or the supine position and cut close to the sacral plexus. The peripheral cut segments of the nerve were placed on bipolar platinum-iridium wire recording electrodes. Action potentials of single units were amplified (MEG-2100, Nihon Kohden), audibly monitored through connection to a speaker, visually displayed on an oscilloscope (TS-8500, IWATSU, Tokyo), and digitized (Micro1401, Cambridge Electronic Design, UK) for later processing (Spike 2 software, Cambridge Electronic Design, UK). Receptive fields and mechanical thresholds of each unit were determined using 0.08–4.0 mN von Frey hairs (Touch-test sensory filaments, US Neurologicals). The conduction velocity of each single unit was measured to classify nerve fibers which had conduction velocities >15.6 m/s as Aβ fibers, fibers with conduction velocities between 2 and 15.6 m/s as Aδ fibers, and fibers with conduction velocities <2 m/s as C fibers, as described previously (Hotta et al., 2012 (link)).
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5

Muscle Activity Measurement Using Oscilloscope

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An oscilloscope providing visual cues was placed 150 cm in front of the participants. The visual cue was a green horizontal line on the oscilloscope. The duration of the cue was 50 ms. Ag/AgCl surface electrodes recording the electromyographic (EMG) signals were placed over the right FDI and ADM muscles with belly tendon montages. The EMG signals were amplified and bandpass filtered (15 Hz to 3 kHz) with an amplifier (MEG-2100, Nihon Kohden, Tokyo, Japan). The EMG signals were converted to digital signals at a sampling rate of 10 kHz using an A/D converter (PowerLab 800S, AD Instruments, Colorado Springs, CO, USA), and the digital signals were stored on a personal computer.
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6

Electrophysiological recording and analysis of field potentials

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Field potential recordings were performed using a slice different from that used for the flavoprotein fluorescence imaging experiment. Multiple simultaneous extracellular recordings were performed with Teflon-coated tungsten electrodes (1.0 MΩ; USK-20, Unique Medical, Japan) positioned in the CA1, subiculum and granular cell layer of the dentate gyrus. Signals were amplified 10,000 times and passed through a 1.5–10-kHz band-pass filter with an amplifier (MEG-2100, Nihon Kohden, Tokyo, Japan). Mains hum was removed with a 50-Hz notch filter. Spontaneous field potentials were recorded during 10 min at a sampling rate of 10 kHz. The signal was input to a computer via an analog-digital converter (PowerLab, AD Instruments, Australia) for later analyses.
Fast Fourier Transform (FFT) was performed on 1024 data points (102 ms; frequency resolution 9.8 Hz) at each time step with LabChart 7 (AD Instruments, Australia). Ten consecutive FFT data for the events were aligned at the initial peak of the event temporally and averaged using a script written in-house for MATLAB (MathWorks, USA).
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7

Index Finger Abduction-Adduction Measurement

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The participants were seated in front of a table. A monitor, indicating a lissajous figure of a target point trajectory and that of a trajectory of actual finger movement, was placed 1 m in front of the participants. The forearms were pronated with the palms faced downward. The hands were placed over the devices preventing movement of the fingers other than the index fingers. Abduction-adduction movements of the index fingers were measured by electrogoniometers placed over the index fingers. The signals from the electrogoniometers were amplified with strain amplifiers (PH-412B; DKH, Tokyo, Japan). Ag/AgCl surface electrodes recording EMG signals were placed over the FDI muscles using a belly-tendon montage. The EMG signals were amplified by an amplifier (MEG-2100; Nihon Kohden, Tokyo, Japan) with passband filters of 15 Hz–3 kHz. The signals were converted to digital signals using A/D converters (PowerLab 800S: AD Instruments, Colorado Springs, USA; Unique Acquisition UAS-A1: Unique Medical, Tokyo, Japan) at a sampling rate of 10 kHz and stored in personal computers.
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8

Chronic ERG Recording in Crickets

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For recording ERG, a compound electrical response generated by various retinal cells in response to a light stimulus, crickets, whose legs were amputated, were fixed to a supporting rod, and enamel-insulated Ag wire electrodes (ϕ 200 μm) were chronically implanted into the immediate vicinity of the receptor layer of their compound eyes. The apparatus was arranged so that the ERGs elicited by a 400 ms flash of green light (λ = 525 nm) at intervals of 1 h were recorded automatically. The flash was given by a green light emitting diode (LK-5PG, LED & Application Technologies, China) driven by an electronic stimulator (SEN-3301, Nihon Kohden, Tokyo), and the stimulus intensities were 3.35 μW/cm 2 , which were below saturation for the ERG. Electrical signals were amplified by a biophysical amplifier (MEG-2100, Nihon Kohden), and monitored with an oscilloscope (2211, Tektronix, Tokyo). The signals were collected and analyzed on an IBM computer using data acquisition hardware (CED1401, Cambridge Electronic Design Ltd., Cambridge, UK) and software (Spike II, Cambridge Electronic Design Ltd.). Amplitudes of the on-component of ERGs were measured. The ERG recording was started around ZT 5-6 and the light was turned off at ZT 12 to record the ERG under DD. The recording was continued for at least 48 h and up to 120 h.
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