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Synamp

Manufactured by Compumedics
Sourced in United States

SynAmps is a high-performance EEG data acquisition system designed for clinical and research applications. It features multi-channel amplification and analog-to-digital conversion capabilities to record and process electroencephalography (EEG) signals.

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18 protocols using synamp

1

Multimodal Neurophysiological Acquisition Protocol

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A soft elastic cap with 64 surface electrodes (Ag/AgCl) was used (Quick-Cap, Compumedics), with the electrodes placed according to the international 10–20 system and connected to a bioamplifier (SynAmps, Compumedics). Neuroscan (Curry7.4 NeuroScan, Compumedics) was used to record signals and for data processing. The ground electrode was incorporated into the cap by the manufacturer over the midline frontal region and the reference placed between the Cz and Pz electrodes. In the data analysis the signals were re-referenced to bimastoid electrodes (M1, M2). We chose to reference the signal to the mastoid electrodes out of concern of clinical relevance. Mastoid referencing can yield reasonable results even in the case of few electrodes.
Electrode impedance was kept below 5 kΩ. Horizontal and vertical electro-oculographic data were registered with two bipolar channels. Two Electrocardiogram (ECG) electrodes were placed in the heart axis and two electrodes in a submental position to record EMG artifacts. EEG measurements were sampled at 2 kHz with an analog, anti-aliasing RC low-pass filter at 800 Hz. The EEG data were digitally high-pass and low-pass filtered offline with a Hann function filter at 0.5 Hz and 250 Hz and a tapering window at 10%. No notch filters were applied.
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2

Multimodal Assessment of Neurological Function

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The event-related potential and MRS methods have been described previously,33 ,36 (link),52 (link) and details are given in the eMethods in the Supplement. Briefly, the event-related potential was recorded using a 64-channel system2 (link) (SynAmps; Compumedics Neuroscan) at a 1-kHz sampling rate with bandpass at 0.1 to 200 Hz. The paradigm was a passive duration-deviant odd-ball task.52 (link) Standard and deviant trials were averaged separately, followed by subtraction of the 2 mean waveforms. Mismatch negativity was scored by peak detection within a poststimulus window of 100 to 225 milliseconds by an automatic algorithm, followed by visual inspection to verify correct placement of each marker for peak detection. Magnetic resonance scanning was conducted on a 3-T imaging system (Tim Trio; Siemens) equipped with a 32-channel head coil. Spectra were acquired with a short-echo sequence for detection of glutamatergic measures36 (link) and a spectral editing sequence for detection of GABA with minimal macromolecule contamination.33 Metabolites were quantified with available tool kits (LCModel; LCModel Inc53 (link) and freely available GANNET54 (link)) and corrected for the proportion of voxel gray, white, and cerebrospinal fluid tissue proportions55 (link) and then reported in institutional units (Table 2). Figure 1 shows voxel location, representative spectra, and MMN waveforms.
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3

EEG Acquisition Using Neuroscan System

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We acquired EEG using SynAmps amplifiers and Neuroscan data acquisition software (Compumedics). Sixty-one electrodes were distributed across the scalp using the international 10-10 positioning system. Data were referenced to the left mastoid during acquisition, and we included a right mastoid measurement to derive an average mastoid reference offline. The ground was positioned on the left upper arm. We concurrently collected vertical and horizontal electrooculography (EOG), using a bipolar montage with electrodes to the side of each eye, and above and below the left eye. During acquisition, data were filtered between 0.1 and 200 Hz, digitized at 1000 Hz, and stored for offline analysis. Electrode impedance was aimed to be below 5 kiloohm and was at least below 10 kiloohm.
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4

Long-Term Video-EEG Recording for Neurological Assessment

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Long-term video-EEG recording with 64 scalp electrodes (SynAmps; Compumedics Neuroscan, Charlotte, NC, USA, or SD LTM64 Headbox; Micromed, Italy) was performed on all patients using a standard clinical EEG setup. Electrodes were placed according to the 10-20 montage international system. Impedances were below 5 kΩ. The signal was sampled at 256 Hz and digitized, and the stored data was off-line filtered using 0.5-100 Hz band-pass digital filters.
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5

EEG Recording During Navon Task

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During the experimental session, children sat comfortably in an electrically shielded dimly lit room in front of a 24″ monitor that displayed the stimuli. We recorded EEG (band pass DC-200 Hz, sampling rate 1000 Hz) from 30 scalp positions referenced to earlobes with the ground at FzA, in accordance with the 10/20 system with the amplifier SynAmps, NeuroScan, (Compumedics, El Paso, TX, USA) (Figure 1B). Electrode impedances were kept under 5 kOhm. We also recorded the electrooculogram (same bandpass and sampling rate as for EEG) to exclude trials contaminated with eye movements for further analysis. Notch filter was set at 60 Hz. Behavioral data under Navon’s paradigm were recorded in parallel with the electrophysiological data. Data were stored and analyzed offline.
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6

EEG Recording and Preprocessing Protocol

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As explained in Horwitz et al. (2017a) (link), we used a soft elastic cap with 64 surface Ag/AgCl electrodes (Quick-Cap, Compumedics), placed the electrodes according to the international 10–20 system, and connected the cap to a bioamplifier (SynAmps, Compumedics). We used Neuroscan (Curry7.4 NeuroScan, Compumedics) for signals recording and data processing. The ground electrode is incorporated over the midline frontal region of the cap and the reference was placed between the Cz and Pz-electrodes by the manufacturer. In the data analysis, the signals were re-referenced to bimastoid electrodes (M1, M2).
We kept electrode impedance below 5 kΩ. Furthermore, we registered horizontal and vertical electro-oculographic (EOG) data with two bipolar channels. Moreover, we placed two EKG-electrodes in the heart axis on the chest and two electrodes in submental positions to record EMG-artifacts. We sampled the EEG measurements at 2 kHz with an analog, antialiasing RC low-pass filter at 800 Hz and digitally high-pass and low-pass bandpass filtered the EEG-data offline with a Hann function filter at 0.5 and 250 Hz with a tapering window at 10%. We did not apply any notch filters.
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7

EEG Data Acquisition and Analysis

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EEG acquisition and analyses followed the same procedures in E1 and E2. EEG data were collected using SynAmps amplifiers and Neuroscan software (Compumedics). Electrode placement followed the international 10-10 system, using a 61-electrode montage. Data were referenced to the left mastoid at acquisition. Measurements of vertical and horizontal EOG were included for off-line independent component analysis (ICA) correction. Data were digitized at 1,000 Hz.
EEG data were analyzed in MATLAB, using the FieldTrip toolbox (Oostenveld et al., 2011 (link)). Data were rereferenced to the average of both mastoids and downsampled to 250 Hz. ICA was performed to identify components associated with blinking or lateral eye movements, and bad components were removed from the data. After ICA correction, trials with exceptional variance were identified based on visual inspection (ft_rejectvisual with the “summary” method) and excluded. Noisy trials were identified without knowledge of the relevant conditions to which particular trials belonged. We additionally excluded trials in which the decision time (the time between cue onset and report onset) was below 200 or above 2,000 ms. In E1, on average 1,027 ± 25 trials (86 ± 2%) were retained for analysis. In E2, on average 700 ± 11 trials (87 ± 1%) were retained for analysis.
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8

Multimodal EEG Recording Setup

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EEG was recorded from 64 electrodes mounted in a custom-designed electrocap (Electro-Cap International, Eaton, Ohio), referenced to the right mastoid during recording (SynAmps amplifiers from Neuroscan; El Paso, TX). Additionally, horizontal and vertical EOG electrodes recorded blinks and eye movements, for which participants were additionally monitored online via a video camera in the EEG chamber. Electrode impedances were kept below 2Ω for the mastoids, below 10Ω for the electro-oculogram (EOG) electrodes, and below 5Ω for all the remaining electrodes. All EEG channels were continuously recorded with a band-pass filter of 0.01-100 Hz at a sampling rate of 500 Hz per channel.
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9

Scalp EEG Recording Methodology

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We placed 19 disk-type Ag/AgCl electrodes on the scalp of each participant, in accordance with the international 10/20 system37 . Reference and ground electrodes were placed on the left ear and forehead, respectively. Vertical and horizontal electrooculograms were also recorded. Signals were amplified and band limited using differential amplifiers and band-pass filters (SynAmps, NeuroScan, Charlotte, USA). Gains were 60 dB and cut-off frequencies were 0.1 and 100 Hz. The input impedance of the amplifiers was 10 MΩ. Signals were digitized using a 16-bit analogue-to-digital converter at 500 Hz and stored on a hard disk.
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10

Scalp EEG Recording and Artifact Monitoring

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Electroencephalogram signals were recorded from 64 scalp sites according to the International 10–20 system with Ag/AgCl electrodes and AC Amplifier (Synamps, Neuroscan Inc.). The vertical and horizontal electrooculogram (VEOG and HEOG) sites were used to monitor the horizontal eye movements and eyeblinks, and the electrode impedance was kept below 5 kΩ during recoding. EEG signals were acquired by referenced to the left mastoid online and then were recomputed offline against to the right mastoid.
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