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32 channel acticap system

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The 32-channel actiCAP system is a compact, high-density electroencephalography (EEG) recording solution. It features a set of pre-configured, active electrode caps with 32 integrated amplifier channels. The system is designed to provide reliable and precise EEG data acquisition for research and clinical applications.

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Matlab, by MathWorks (1 mentions) Brain vision analyzer, by Brain Products (1 mentions) Brainamp amplifier, by Brain Products (1 mentions)

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ActiCAP (203 citations) ActiCap system (44 citations)

4 protocols using 32 channel acticap system

1

Comparative EEG Recording Setups

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At site 1 a 32-channel actiCAP system by Brain Products was used. Site 2 made use of a 32-channel active electrode set by Biosemi. The main differences between the recordings of the two systems are: different placement for four electrodes (Biosemi: AF3, AF4, PO3, PO4 vs. actiCAP: TP9, TP10, PO9, PO10), a different sampling rate (Biosemi: 2048 Hz, actiCAP: 500 Hz), and different online reference electrodes (Biosmi: CMS and DLR electrodes, actiCAP: AFz). The final analysis included only electrodes measured on both sites, namely: FP1/2, Fz, F3/4, F7/8, FC1/2, FC5/6, Cz, C3/4, T7/8, CP1/2, CP5/6, Pz, P3/4, P7/8, Oz, O1/2.
Menn K.H., Ward E.K., Braukmann R., van den Boomen C., Buitelaar J., Hunnius S, & Snijders T.M. (2022). Neural Tracking in Infancy Predicts Language Development in Children With and Without Family History of Autism. Neurobiology of Language, 3(3), 495-514.
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2

Somatosensory Evoked Potentials Acquisition and Analysis

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The recording of the somatosensory evoked potentials (SEP) outside the scanner was done using a 32‐channel actiCap system (Brain Products GmbH, Munich, Germany) placed according to the international 10–20 standard electrode placement system. The participants were placed on the same table as used inside the MRI scanner and the SEP data from channels C3 and C4 were acquired at 5 kHz using the BrainVision Recorder software (Brain Amps GmbH, Germany).
In total, 800 electrical median nerve stimulations were acquired. For each subject, an average of all 800 somatosensory evoked potentials (SEP) from 1 to 200 ms was computed, followed by averaging the subjects within the two groups individually.
For all the stimulation blocks, each stimulation number in the train of stimulations, sn, was averaged individually to investigate the time effect of each stimulus in the train (Figure 2).
Sn¯(t)=1Nk∑k=1NkSn,k(t)
where Sn¯ is the mean signal of all the stimulations, n is the stimulation number in the block, and k is the repetition number and Nk is
Nk=30forn≤1020forn>1010forn>20≤20
The root mean square (RMS) value of each 200 ms stimulation period, Sn¯, was then calculated and normalized to the value of the first stimulation. Group comparison was then performed using a two‐sample t test in MATLAB (The MathWorks, Natick, MA, USA) for each of the stimulations (n = 2–20).
Lindberg U., Kruuse C., Witting N., Jørgensen S.L., Vissing J., Rostrup E, & Larsson H.B. (2018). Altered somatosensory neurovascular response in patients with Becker muscular dystrophy. Brain and Behavior, 8(6), e00985.
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3

EEG Signal Processing and Artifact Correction

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We recorded continuous EEG using a 32-channel actiCAP system (Brain Products GmbH, Gilching, Germany) and sampled at 500 Hz with electrodes positioned according to the 10/20 system. We then referenced each pre-amplified electrode to Cz. We set software filters to a 100Hz high cutoff and a 60Hz notch, and re-referenced the data offline to the average reference and corrected eyeblinks using Brain Electrical Source Analysis software (BESA GmbH, Gräfelfing, Germany). We then exported the data to BrainVision Analyzer (Brain Products GmbH, Gilching, Germany), where the data were filtered using 40 Hz low-pass and 0.1 Hz high-pass cutoffs, segmented (300ms pre- to 800ms post-response onset), and baseline corrected from 200ms prior to the response. Because, in this task, the feedback appears immediately after the response, time locking the ERPs to the response is effectively the same as time locking the ERPs to the feedback onset. We marked each segment as contaminated by artifacts if the waveform had a voltage step greater than 10 μV/ms, a maximal voltage difference greater than 70 μV over 50ms, less than 0.5 μV over 100ms, or amplitudes above 100 μV or below −100 μV. We interpolated channels using their four nearest neighbors if greater than 40% of a channel’s segments were contaminated by such artifacts.
Frank D.W., Stevens E.M, & Versace F. (2019). A neurophysiological measure of reward sensitivity and its association with anhedonia in psychiatrically healthy adolescents and young adults. International journal of psychophysiology : official journal of the International Organization of Psychophysiology, 141, 56-64.
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4

Simultaneous EEG and Muscle Activity Recording

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The electroencephalographic activity was recorded with a commercial 32-channel actiCAP system (Brain Products GmbH, Germany) and a monopolar BrainAmp amplifier (Brain Products GmbH, Germany). The recording electrodes were placed at FP1, FP2, F7, F3, Fz, F4, F8, FC3, FC1, FCz, FC2, FC4, C5, C3, C1, Cz, C2, C4, C6, CP5, CP3, CP1, CPz, CP2, CP4, CP6, P7, P3, P4, P8, O1, and O2, following the international 10/20 system. Ground and reference electrodes were placed at AFz and Pz, respectively.
Muscle activity of the right forearm of the participants was recorded by an MR-compatible BrainAmp amplifier (Brain Products GmbH, Germany) using two Ag/AgCl bipolar sensors (Myotronics-Noromed, Tukwila, Wa, United States). The sensors were placed laterally to the stimulation pads (see Figure 1A), using the right collarbone as ground. Both EEG and muscle activity were synchronously acquired at a sampling rate of 1,000 Hz.
Insausti-Delgado A., López-Larraz E., Omedes J, & Ramos-Murguialday A. (2021). Intensity and Dose of Neuromuscular Electrical Stimulation Influence Sensorimotor Cortical Excitability. Frontiers in Neuroscience, 14, 593360.
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