We performed EEG recordings (1) to estimate the individual alpha band peak frequency (IAF) and (2) to characterize the immediate electrophysiological effects and short-lasting aftereffects of rTMS. We attained scalp EEG data with a 24-bit, battery-powered, active channel amplifier with 64 Ag/AgCl active EEG electrodes (actiCAP, BrainVision LLC, Germany) at a 2.5 kHz sampling rate, and without hardware filters (actiChamp, Brain Vision LLC, Germany). Ground and reference electrodes were located at Fpz and FCz, respectively. Impedance values were maintained below 20 kΩ.
Actichamp
Manufactured by BrainVision
Sourced in Germany
The ActiChamp is a high-performance amplifier system designed for the acquisition and recording of electrophysiological signals. It features low-noise, high-resolution amplifiers and supports a wide range of electrode types and recording configurations.
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Lab products found in correlation
6 protocols using actichamp
1
Characterizing Immediate Effects of rTMS via EEG
2
EEG Preprocessing and Artifact Removal
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EEG was acquired from 64 active electrodes (BrainVision ActiChamp), with each impedance kept below 30kΩ. Data was digitized at 1000 Hz and FCz was used as the online reference. EEG was processed offline using custom scripts in MATLAB (version R2019b) and with EEGLAB toolbox.46 (link) Recordings were down-sampled to 500 Hz and high-pass filtered at 0.1 Hz using a zero-phase, Hamming-windowed FIR filter. Data were re-referenced offline to the average of all electrodes. EEG data were segmented into epochs centered on stimulus onset using a time window of -2000 to 2000 ms. Individual trials were rejected if any scalp channel exceeded 100 μV at any time during the interval extending from -500 to 500 ms relative to the stimulus onset. On average, 209 trials were rejected for each participant. These trials were not involved in the analysis of behavioral data. Noisy channels were spherically interpolated and independent components analysis was performed to remove components reflecting eye-blinks or eye movements. A pre-stimulus baseline of -200 to 0 ms was subtracted from each trial.
3
Multimodal Neurophysiological Acquisition Protocol
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Continuous EEG signals were recorded using a 32-channel electrocap (ActiCHamp, BrainVision) with active electrodes positioned according to the extended 10–10 international system. All electrodes were referenced to the Fz electrode, with the ground electrode placed on the forehead. Electrode impedances were kept below 10 kΩ. EEG signals were digitized with a 1000 Hz sampling rate and band-pass filtered within the 0.01–120 Hz range. One electrocardiogram (ECG) signal was acquired using three Ag/AgCl electrodes, which were positioned according to the Lead II Einthoven configuration: two electrodes placed on the right clavicle and the left hip/abdomen (active electrodes), and one electrode placed on the left clavicle (ground electrode). A respiratory signal was acquired using the Brain Vision respiration belt attached to the participant’s chest or abdomen, depending on the subject’s breathing mode. All peripheral signals were co-registered with the EEG via the auxiliary inputs of the amplifier.
4
EEG Data Collection Protocol
5
Simultaneous EEG and Behavioral Data Acquisition
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The behavioral and electrophysiological data were recorded simultaneously. The stimulus presentation and behavioral responses were controlled using E-Prime 3.0. EEG signals were recorded using a 32-channel EEG system (ActiChamp, Brain Vision v005 10/2017). The impedance was maintained below 50 kΩ throughout the testing and referenced to Cz. Furthermore, the raw EEG signals were digitized using a sampling frequency of 500 Hz and online filtering between 1 and 100 Hz.
6
EEG Data Collection and Preprocessing
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Continuous neural data were collected using a 128-channel BrainVision ActiChamp EEG system using the international five percent system for electrode placement over the scalp [81 (link)]. Data were online referenced to FCz and digitised at 1000 Hz. All preprocessing was performed offline using EEGLAB [82 (link)]. Basic processing was performed: data were filtered using 0.1 Hz high pass and 100 Hz low pass filters, using EEGlab default Hamming windowed sinc FIR zero-phase filters. Epochs were constructed from 100ms prior to 600ms after each image presentation and downsampled to 250 Hz. No electrode interpolation or artefact rejection was performed [cf. 83 (link)]. We did not control for eye movements or other artefacts in the analyses because multivariate classification is robust to random noise and artefacts [84 ]. Furthermore, our design minimises eye movements because all images were presented at fixation, for short durations and in random order.
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