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Vitalrecorder

Manufactured by Kissei Comtec
Sourced in Japan

VitalRecorder is a medical device designed for recording and monitoring vital signs. It is capable of capturing and storing data related to a patient's heart rate, respiration, and other physiological parameters.

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21 protocols using vitalrecorder

1

Optogenetic Monitoring of CRF Neuron Activity

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We used an LED (PlexonBright OPT/LED Blue_TT_FC; Plexon, Dallas, TX) for the light source. The intensity of blue light at the tip of the fiber was 0.07 mW (465 nm). The excitation light was applied through a dichroic mirror and GFP excitation bandpass filter (path, 472 ± 35 nm) and coupled to the silica fiber (NA of 0.39, 400 μm diameter). The G-CaMP6 signals from CRF neurons were collected by the same silica fiber passed through a bandpass emission filter (path, 525 ± 25 nm) and guided to a photomultiplier tube (1P28; Hamamatsu Photonics K.K., Hamamatsu, Japan). G-CaMP6 signals were recorded by VitalRecorder (Kissei Comtec), together with the EEG/EMG signals at a sampling frequency of 128 Hz.
The guide cannula was stereotaxically implanted with a dummy fiber above the PVN more than 2 weeks after AAV injection, and they were fixed to the skull with dental cement. More than 7 days after the surgery, an optical fiber was implanted (AP, +0.4 to 0.5 mm; ML, +0.2 mm; DV, −4.7 mm). Recorded G-CaMP6 signals were smoothed by a 33-point moving average and converted to ΔF/F (%) as follows: dF/F = 100*(F(t) − Fmin) / Fmin, where F(t) is the G-CaMP6 signal and Fmin is the minimum value of the signal. Calcium signals of 1 min before and after stage change were selected and calculated mean value for each animal in Fig. 3. Statistics was performed using mean data obtained from all animals.
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2

EEG/EMG-Based Sleep-Wake Scoring

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Sleep/wake states were assessed via EEG/EMG. These biopotentials were sampled at 256 Hz with VitalRecorder (Kissei Comtec Co.) software, and then passed through an amplifier (Grass Instruments). Raw EEG/EMG voltage data were exported (.txt) into MATLAB (MathWorks, Natick, MA, United States) and analyzed using custom scripts [as in Li et al. (2020) (link)]. Wake was defined as low amplitude, high frequency EEG oscillations with prominent EMG signal. NREM sleep was characterized by large amplitude, low frequency delta oscillations in the EEG, with little or no EMG signal. REM sleep was identified based on a predominant theta (θ) component of the EEG, with no EMG activity reflecting complete motor atonia. Behavioral states (wake, NREM, or REM sleep) were assessed blind to the time-locked photometry signal or experimental manipulation (LPS or saline).
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3

Muscle Activity Assessment during ASLR

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Surface electromyography (EMG) (Vital Recorder; Kissei Comtec Co., Matsumoto, Japan) with a 1,000-Hz sampling frequency was used to measure muscle activities. The following muscles were measured: the bilateral rectus abdominis (RA: about 2–3 cm lateral to the umbilical region), the bilateral EO (15 cm lateral to the umbilicus), the bilateral IO (2 cm medial and inferior to the ASIS), rectus femoris (RF: at 50% on the line from the superior part of the patella to the ASIS) on the leg raising side, the biceps femoris (BF: at 50% on the line between the lateral epicondyle of the tibia and the ischial tuberosity) on the non-leg raising side. The reference electrode was placed on the patella of the leg raising side. Bipolar surface electrodes (P-00-S; Ambu Inc., Ballerup, Denmark) were applied after successful skin preparation using sanding and alcohol. Each pair of electrodes was attached 2.5 cm apart and aligned parallel to muscle fibers. All EMG data were processed through a bandpass filter (15–500 Hz) and full-wave rectified. The average EMG amplitudes of the medial 3 sec of the total 5-sec duration of ASLR were determined. Mean amplitudes of the maximal voluntary isometric contraction (MVIC) were used for normalizing the average EMG amplitudes recorded during ASLR (%MVIC). The MVIC values of each muscle were performed in the manual muscle testing positions.
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4

Automated Scoring of Cataplexy in Mice

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After at least 1 week of recovery, we moved mice into the recording chambers to allow at least 5 days of acclimation to the recording cage and EEG/EMG cable. During recordings, EEG/EMG signals were amplified, filtered (EEG: 0.3–35 Hz; EMG: 100–300 Hz; Grass Amplifier 6SS, Grass Instruments), and digitized at a sampling rate of 256 Hz (VitalRecorder, Kissei Comtec) with simultaneous infrared video recordings. We scored sleep/wake signals in 10 s epochs semiautomatically using SleepSign (Kissei Comtec, band pass filter settings: EEG, 0.25–64 Hz; EMG, 10–60 Hz, with a notch filter at 60 Hz for each) and performed manual corrections as needed. We scored cataplexy manually using EEG/EMG and video according to a consensus definition (Scammell et al., 2009 (link)). Specifically, we scored an event as cataplexy if four criteria were met: the episode was (1) an event of nuchal atonia lasting at least 10 s, (2) the mouse was not asleep during the 40 s preceding the episode, (3) the mouse was immobile for the duration of the event, and (4) the EEG was dominated by theta activity (Scammell et al., 2009 (link)).
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5

Sleep-Wake Patterns in Ovariectomized Mice

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At approximately two weeks after OVXs and sham operations, mice were implanted with the electroencephalogram (EEG) and electromyogram (EMG) electrodes for polysomnographic recordings. Cortical EEG and EMG signals were amplified, filtered (EEG, 0.5–30 Hz; EMG, 20–200 Hz), digitized at a sampling rate of 128 Hz, and recorded using VitalRecorder (Kissei Comtec, Japan). Once complete, polygraphic recordings were automatically scored offline into 10-s epochs that were categorized as either waking, non-rapid eye movement (NREM) sleep, or rapid eye movement (REM) sleep using SleepSign according to standard criteria. Defined sleep-wake stages were examined visually and corrected if necessary by investigators blinded to the group information. A bout was defined as an episode without interruptions of any other vigilance stage. For EEG spectral power analysis, fast Fourier transformations (FFTs) were performed for all consecutive 10 s epochs. Then the FFT data of each vigilance stage (wakefulness, NREM, REM) in the frequency range 0–24.5 Hz (frequency resolution of 0.5 Hz) during the 12-h inactive and active phase were averaged, respectively. The spectral power density at a specific frequency was expressed as the percentage of total FFT data of the frequency range 0–24.5 Hz of each animal in order to minimize individual variations35 (link),36 (link).
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6

EEG and EMG Recording in Mice

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One week after electrode placement, mice underwent EEG and EMG recording in their home cage equipped with a data acquisition system capable of simultaneous video recording (Vital recorder, KISSEI COMTEC, Japan). Signals were recorded during ZT =  ~ 2 to 8 (~ 11 AM to 6 PM) for each mouse. Data were collected at a sampling rate of 128 Hz. Electric slip rings (Biotex Inc.) allowed mice to move and sleep naturally.
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7

Multimodal Sleep Recording Protocol

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The EEG recording electrodes were implanted after anesthesia, and a reference electrode was placed on the forehead. The EMG recording electrodes were implanted in the neck muscles. EEG–EMG recordings were performed with the recording system (Pinnacle), and the data were analyzed with EEGLAB (v2019.1). The EEG–EMG signals were amplified (Grass Link, Grass Technologies), filtered (EEG: 0.3–30 Hz, EMG: 20–200 Hz), and digitized at 128 Hz using sleep recording software (Vital Recorder, Kissei Comtec). The polysomnography signals were automatically analyzed by analysis software (SleepSign for Animals, Kissei Comtec) and EEGLAB. The scoring results were visually inspected and manually corrected if necessary. The LOC and awake‐state classifications were performed by a researcher who did not participate in the experimental manipulation (Figure S2).
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8

Multimodal Behavioral State Monitoring

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EEG/EMG signals were sampled at 256 Hz with VitalRecorder (Kissei Comtec Co.) following amplification through an amplifier multiple channels (Grass Instruments). The bandpass was set between 0.1-120 Hz. Raw EEG/EMG data were exported to Matlab (MathWorks, Natick, MA, USA) and analyzed with custom scripts and Matlab built-in tools based on described criteria (6) to determine behavioral states. For optogenetic and fiber photometry recording experiments, simultaneous EEG/EMG signals were recorded to determine behavioral states. The raw EEG/EMG signals with/without GCaMP6f traces were imported to Matlab for offline analysis.
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9

Implantation of EEG and EMG Electrodes in Mice

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We implanted each mouse with EEG and EMG electrodes under isoflurane anesthesia (1.5–2%) [10 (link)]. Briefly, we placed screw electrodes epidurally over the frontal (1.5 mm lateral and 1.0 mm anterior to bregma) and parietal (1.5 mm lateral and 1.0 mm anterior to lambda) cortices for frontoparietal EEG recordings. EMG signals were acquired by a pair of stainless steel spring wires inserted into the neck extensor muscles. At the time of surgery, mice were 9 to 10 weeks of age.
After surgery, mice were housed individually under standard conditions [10 (link)]. After a recovery period of 7 to 10 days, we connected the mice to recording cables and left them to acclimatize for an additional 3 to 4 days before recording their EEG/EMG signals. The mice then remained connected to the recording cable throughout the study.
EEG/EMG signals were amplified and filtered (EEG: 0.5–60 Hz; EMG: 10–100 Hz) by head-mounted preamplifiers and amplifiers (8202-DSL and 8206-SL, respectively; Pinnacle Technology, Lawrence, KS, USA), and recorded on a computer (Vital Recorder, Kissei Comtec, Matsumoto, Japan) after analog-to-digital conversion.
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10

Simultaneous EEG, EMG, and Behavior Monitoring

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EEG and EMG signals were filtered at EEG 1.5–30 Hz and at EMG 15–300 Hz and amplified by an amplifier (AB-610J, Nihon Koden, Japan). The digital sampling rate was 128 Hz. Animal behavior was monitored through a Charged Coupled Device (CCD) video camera (SPK-E700CHP1, Keiyo Techno, Japan) and an infrared activity sensor (Kissei Comtec). All EEG and EMG data were recorded by VitalRecorder (Kissei Comtec) and analyzed by SleepSign software (Kissei Comtec).
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