Neuroscan amplifier

Manufactured by Compumedics

Sourced in United States, Saint Vincent and the Grenadines

The Neuroscan amplifiers are high-performance data acquisition systems designed for neurophysiological research. They provide reliable and accurate recording of electrical signals from the brain and other physiological sources. The amplifiers feature low noise, high input impedance, and advanced filtering capabilities to ensure high-quality data acquisition.

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Lab products found in correlation

Nuamp, by Compumedics (1 mentions) Scan 4, by Compumedics (1 mentions) Neuroscan quik cap, by Compumedics (1 mentions) Matlab, by MathWorks (1 mentions)

5 protocols using neuroscan amplifier

EEG Recording and ICA-based Artifact Correction

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During the experiment, the electroencephalogram (EEG) was recorded from 29 electrodes including all 19 standard locations of the 10–20 system [24 ] with Ag-AgCl electrodes mounted in an elastic cap (Electro Caps International, Eaton, OH) relative to two reference electrode placed on both ear lobes. Eye-movements were recorded with electrodes affixed at the right and left external canthi (horizontal electrooculogram (hEOG), bipolar recording) and at the left and right orbital ridges (vertical electrooculogram (vEOG), bipolar recording). Impedances of all electrodes were kept below 5 kΩ. Biosignals were amplified with a band-pass from 0.05 to 30 Hz with a digitization rate of 250 Hz using Neuroscan amplifiers and Acquire recording software (Neuroscan Inc., Sterling, VA).
Artifact correction and averaging. Prior to ERP data analysis, all trials containing eye-movement artifacts were corrected using ICA-based artifact correction implemented in EEGlab [25 (link), 26 (link)]. Stimulus-locked ERPs (time-locked to the onset of the flanker stimulus) were averaged for epochs of 1200 ms starting 200 ms prior to stimulus. A pre-stimulus period of 100 ms served as a baseline for ERP-computation. All ERP figures and all ERP statistics are slightly band-pass-filtered (0.1 to 30 Hz).

Priester L.D, & Wiswede D. (2018). Useful distracting information: ERP correlates of distractors in stimulus-response-episodes. PLoS ONE, 13(11), e0206468.

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EEG Protocol for Multimodal Recording

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Electroencephalography (EEG) was recorded using 128 Ag/AgCl electrodes on the participant’s scalp (including six electrodes on the face) mounted on their head using a standard 10–20 system with a reference near the Cz electrode site. We controlled eye movements with the help of electrodes placed over and beside the eyes. Heart rate changes were accessed to be regressed out as covariates by placing one electrode over their index finger on both hands. We maintained electrode impedances below 20 kΩ and amplified signals using Neuroscan amplifiers with an analog bandpass of 0.1–100 Hz. We recorded EEG data at a sampling frequency of 1000 Hz.

Nayak S., Kuo C, & Tsai A.C. (2019). Mid-Frontal Theta Modulates Response Inhibition and Decision Making Processes in Emotional Contexts. Brain Sciences, 9(10), 271.

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High-Density EEG Recording Protocol

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EEG was recorded from 64 positions on the scalp in reference to the left mastoid, using Ag/AgCl electrodes (mounted in Easycaps, modified full 10%-system) and Neuroscan amplifiers that were decoupled from the audio system via optical fibers. Electrooculography was recorded below the left eye using an additional electrode. Interelectrode impedances were kept below 5 kΩ by abrading the skin. The EEG recordings were bandpass-filtered (cutoffs: 0.05 and 100 Hz, analog filter) and then digitized using a sampling rate of 250 Hz.

Riecke L., Scharke W., Valente G, & Gutschalk A. (2014). Sustained Selective Attention to Competing Amplitude-Modulations in Human Auditory Cortex. PLoS ONE, 9(9), e108045.

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EEG Signal Acquisition and Preprocessing

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EEG signals were recorded with a 33-channel Quick-Cap connected to a 40-channel NuAmps (NeuroScan Amplifier, Compumedics Inc., Charlotte, NC, USA). The layout of the electrodes followed the International 10–20 system (Figure 2), where A1 and A2 were reference electrodes, the ground channel was at the forehead, and the remaining 30 electrodes were used for recording EEGs. Impedance was kept below 10 kOhm by applying Electro-Gel (Compumedics Inc., Charlotte, NC, USA) to the electrodes. Ocular activity (i.e., electrooculography, EOG) was monitored with two electrodes placed above the left eye and the right side of the right eye, respectively. The recorded EEG and EOG signals were amplified and filtered (0.5–100 Hz), and then digitized with a sampling rate of 500 Hz using the NuAmp amplifier from NeuroScan Inc. Ocular artifacts coming from blinking or eye movements were removed from the EEG signals using the artifact removal software from NeuroScan (Scan4.5). Afterward, the EEG signals were further filtered using a Finite Impulse Response (FIR) filter (0.5–50 Hz). Finally, other possible artifacts caused from generic discontinuities and electromyography were removed using the independent component analysis (ICA) and ADJUST algorithm (Mognon et al., 2011 (link)) provided in the EEGLAB (Infomax ICA).

Trinh T.T., Tsai C.F., Hsiao Y.T., Lee C.Y., Wu C.T, & Liu Y.H. (2021). Identifying Individuals With Mild Cognitive Impairment Using Working Memory-Induced Intra-Subject Variability of Resting-State EEGs. Frontiers in Computational Neuroscience, 15, 700467.

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Multimodal EEG Recording and Analysis

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EEG was measured from a 32-electrode Neuroscan Quik-Cap arranged using the International 10–20 standard (Compumedics, Charlotte, NC). Recordings were referenced to averaged mastoids, with the mid-frontal site (FPz) serving as the ground electrode, and impedance < 10 kΩ. Additional electrodes were placed above and below the left orbit and on the outer canthus of each eye to monitor vertical (VEOG) and horizontal electro-oculographic activity with a bipolar recording. Continuous data were digitized at a sampling rate of 500 Hz, with a DC to 70 Hz filter, and a 60 Hz notch filter using a Neuroscan amplifier (Compumedics, Charlotte, NC). Matlab (R2014a, Mathworks Inc.), EEGLAB toolbox (version 13.4.4)^{71 (link)}, and ERPLAB toolbox (version 4.0.2.3)^{72 (link)} were used for offline data processing. Raw EEG data collected during the cognitive task were corrected for eye-movement artifacts using an independent component analyses (ICA) followed by an autocorrelation procedure rejecting ICA components (i.e., EEG.icaact matrix generated by the ICA procedure) that had a correlation coefficient greater than 0.3 with the raw VEOG time-series data^{73 (link)}. Corrected data underwent two different processing pipelines to evaluate task-related P3-ERP and event-related de/synchronization (ERS/ERD) in frequency bands.

Kao S.C., Tsai Y.J., Hsieh S.S., Chen I.F., Schmitt S, & Hung T.M. (2022). The relationship of muscular endurance and coordination and dexterity with behavioral and neuroelectric indices of attention in preschool children. Scientific Reports, 12, 7059.

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