Electroencephalographic signals were recorded with a 64-channel actiChamp System (Brain Products GmbH, Gilching, Germany, Figure 2 B). The montage included Fz derivation for reference and FPz for ground. EEG signals were sampled at 5 kHz and a preconditioning 0.1–1500 Hz bandpass filtering was applied.
Actichamp system
Manufactured by Brain Products
Sourced in Germany
The ActiCHamp system is a high-performance data acquisition system designed for neuroscience research. It features a modular and versatile design, allowing for the recording of various biopotentials, including EEG, EMG, and ECG. The system offers a wide range of input channels and supports multiple electrode configurations, making it suitable for a variety of experimental setups.
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Lab products found in correlation
24 protocols using actichamp system
1
High-Density EEG Acquisition Protocol
2
EEG Processing for Face Perception
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The EEG data were collected during the task at 500 Hz with a 32-ch Brain Products actiCHamp system23 (link) with the left earlobe as the online reference. Robust average reference, line noise removal, and bad channel interpolation were performed using the PREP pipeline47 (link). The EEG data were filtered at 0.2–200 Hz, smoothed with a 20 ms running average, and epoched from −100 to +500 ms relative to the onset of the faces23 (link). Epochs were rejected for artefact if any horizontal EOG exceeded ±25 μV, any vertical EOG exceeded ±60 μV, or any other channels exceeded ±80 μV23 (link). Raw voltage values at each channel and trial were baseline corrected and z-scored in reference to the baseline period. Importantly, individual trials were not averaged prior to MVPA analysis (i.e., the MVPA analysis started from single trials28 (link)).
3
EEG Data Acquisition and Analysis
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EEG signals were recorded with a 32-electrode active electrodes system (actiChamp system, Brain Products GmbH, Germany). Electrodes were placed on EasyCap, on which electrode holders were arranged according to the 10–20 international electrode system. Two additional electrooculogram (EOG) electrodes were used to monitor horizontal and vertical ocular movements, respectively. The ground electrode was placed at the forehead. Electrode impedances were kept below 10 kΩ. The data were continuously recorded in single DC mode, sampled at 1000 Hz and referenced online to the electrode Cz. The EEG data were acquired with Brain Vision PyCoder software and filtered online by the acquisition system using a low-pass filter (second order Butterworth) with a cutoff frequency of 200 Hz. A 50-Hz notch filter was applied to filter out AC noise online during EEG recordings. EEG data processing and analysis were conducted with customized Python codes, MNE-python (Gramfort et al., 2014 (link)), EasyEEG (Yang et al., 2018 (link)).
4
Flanker Task EEG Acquisition Protocol
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We used the actiCHamp system (Brain Products GmbH, Gilching, Germany) with 32 active EEG electrodes to record the EEG during the Flanker task. The electrodes were positioned according to the international 10–20 system at Fp1, Fp2, F7, F3, Fz, F4, F8, FC5, FC3, FC1, FC2, FC4, FC6, T7, C3, Cz, C4, T8, CP5, CP3, CP1, CP2, CP4, CP6, P7, P3, Pz, P4, P8, O1, Oz, and O2. The setup included an online reference electrode at Fz and a ground electrode at Fpz. We kept electrode–skin impedance below 25 kΩ and recorded at a 500 Hz sampling rate and 24-bit resolution.
5
Whole Head EEG Data Acquisition Protocol
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Whole head EEG data were recorded from two 32 channel actiCHamp active electrode modules (64 channels total) configured in an Easycap actiCAP according to the extended 10–20 system [57 ]. EEG data were acquired Using Brain Vision Recorder coupled with the Brain Products actiCHamp system. During signal acquisition, EEG data were band pass filtered (.016–250 Hz) and digitized at a sampling frequency of 1 kHz. Neural data from all four experimental blocks were captured in a single data file with the reference channel set to FCz.
6
Whole-Brain EEG with TMS-Compatible Amplifier
7
Whole-Brain EEG with TMS-Compatible Amplifier
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Whole scalp 64-channel EEG data was collected with a TMS-compatible amplifier system (actiCHamp system, Brain Products GmbH, Munich, Germany) and labeled in accordance with the extended 10–20 international system. EEG data were online referenced to Fp1 electrode. Electrode impedances were maintained below 5k Ω at a sampling rate of 1000 Hz. EEG signals were digitized using a BrainCHamp DC amplifier and linked to BrainVision Recorder software (version 1.21) for online monitoring. Digitized EEG electrode locations on the scalp are also co-registered to individual MRI scans using Brainsight ™ TMS Frameless Navigation system.
8
EEG Preprocessing and Location Decoding Analysis
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Continuous EEG was recorded from 63 uniformly distributed scalp electrodes using a BrainProducts “actiCHamp” system. The horizontal and vertical electrooculogram (EOG) were recorded from bipolar electrode montages placed over the left and right canthi and above and below the right eye, respectively. Live EEG and EOG recordings were referenced to a 64th electrode placed over the right mastoid and digitized at 1 kHz. All data were later re-referenced to the algebraic mean of the left- and right mastoids, with 10-20 site TP9 serving as the left mastoid reference.
Data preprocessing was carried out via EEGLAB software extensions44 (link) and custom software. Data preprocessing steps included the following, in order: (1) resampling (from 1 kHz to 250 Hz), (2) bandpass filtering (1 to 50 Hz; zero-phase forward- and reverse finite impulse response filters as implemented by EEGLAB), (3) epoching from -1.0 to +5.0 sec relative to the start of each trial, (4) identification, removal, and interpolation of noisy electrodes via EEGLAB software extensions, and (5) identification and removal of oculomotor artifacts via independent components analysis as implemented by EEGLAB. After preprocessing, location decoding analyses focused exclusively on the following 10-20 occipitoparietal electrodes: P7, P5, P3, Pz, P2, P4, P6, P8, PO7, PO3, POz, PO2, PO4, PO8, O1, O2, Oz.
Data preprocessing was carried out via EEGLAB software extensions44 (link) and custom software. Data preprocessing steps included the following, in order: (1) resampling (from 1 kHz to 250 Hz), (2) bandpass filtering (1 to 50 Hz; zero-phase forward- and reverse finite impulse response filters as implemented by EEGLAB), (3) epoching from -1.0 to +5.0 sec relative to the start of each trial, (4) identification, removal, and interpolation of noisy electrodes via EEGLAB software extensions, and (5) identification and removal of oculomotor artifacts via independent components analysis as implemented by EEGLAB. After preprocessing, location decoding analyses focused exclusively on the following 10-20 occipitoparietal electrodes: P7, P5, P3, Pz, P2, P4, P6, P8, PO7, PO3, POz, PO2, PO4, PO8, O1, O2, Oz.
9
EEG Data Recording and Artifact Rejection
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EEG data were recorded from a 32-channel BrainProducts actiChamp system (Munich, Germany;
1000 Hz sampling rate, 0.05–200 Hz online bandpass filter, referenced to the FCz channel). Electro-oculogram (EOG) was recorded using four electrodes with vertical and horizontal bipolar derivations. EEG/EOG data were downsampled to 250 Hz, high-pass (1 Hz) and notch (60 Hz) filtered and re-referenced to the average of all EEG channels. We applied the ‘Fully Automated Statistical Thresholding for EEG artifact Rejection’ algorithm for artifact detection and rejection (Nolan et al., 2010 (link)).
1000 Hz sampling rate, 0.05–200 Hz online bandpass filter, referenced to the FCz channel). Electro-oculogram (EOG) was recorded using four electrodes with vertical and horizontal bipolar derivations. EEG/EOG data were downsampled to 250 Hz, high-pass (1 Hz) and notch (60 Hz) filtered and re-referenced to the average of all EEG channels. We applied the ‘Fully Automated Statistical Thresholding for EEG artifact Rejection’ algorithm for artifact detection and rejection (Nolan et al., 2010 (link)).
10
Neurophysiological Responses to Stimuli
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