The electroencephalogram (EEG) data were collected using a 16-channel BrainVision actiCAP snap system (Brain Products GmbH, Munich, Germany) with 12 scalp electrode sites (Fp2, Fp1, Fz, Cz, FC5, FC6, Pz, Oz, P3, P4, P7, P8) and four external electrodes. One external electrode was placed on the right infraorbital region to record vertical eye movements (channel VEOG), and one was placed lateral to the outer canthus of the right eye to measure horizontal eye movements (channel RH). By convention, mastoid sites (M1 and M2) were collected to re-reference offline (see section below). EEG signals were recorded using Brain Vision Recorder software (Brain Products GmbH, Munich, Germany), online-referenced to channel FCz, a ground at AFz, and amplified using the portable V-Amp system (Brain Products GmbH, Munich, Germany). The sampling rate was set to 1000 Hz.
V amp system
Manufactured by Brain Products
Sourced in Germany
The V-Amp system is a high-performance, multi-channel amplifier designed for laboratory and research applications. It provides a reliable and accurate solution for the acquisition of physiological signals, such as electroencephalography (EEG) and other biopotential measurements. The V-Amp system offers a modular and scalable design, allowing users to configure the number of channels as per their requirements. It features advanced signal processing capabilities and a user-friendly interface for seamless data collection and analysis.
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Lab products found in correlation
2 protocols using v amp system
1
EEG Data Collection with 16-Channel System
2
EEG Frequency-Based Signal Analysis
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BEG data was recorded with the V-Amp system (Brain Products, Inc., Munich, Germany), using passive Ag/AgCl electrodes at a sampling rate of 1000 Hz. A Butterworth Zero Phase filter was applied with cutoffs from 1 to 30 Hz Meigen [26] .
Magnitudes at the two frequencies of interest were extracted, as well as the background noise levels at two neighboring frequencies, that is 15 and 17 Hz for the central stimulation frequency and at 13 .4 and 15 .4 Hz for the peripheral frequency. Noise bins were then averaged and used to calculate a signal-to-noise ratio (SNR) for each participant and then loglO-transfonned for statistical analyses, using SPSS Statistic® software (version 18.0). The signal at the 14.4 and 16 Hz had to exceed the average noise calculated at two neighboring frequencies by a factor of 2.8 to reach a 5%
significance level [27] .
3-6
Magnitudes at the two frequencies of interest were extracted, as well as the background noise levels at two neighboring frequencies, that is 15 and 17 Hz for the central stimulation frequency and at 13 .4 and 15 .4 Hz for the peripheral frequency. Noise bins were then averaged and used to calculate a signal-to-noise ratio (SNR) for each participant and then loglO-transfonned for statistical analyses, using SPSS Statistic® software (version 18.0). The signal at the 14.4 and 16 Hz had to exceed the average noise calculated at two neighboring frequencies by a factor of 2.8 to reach a 5%
significance level [27] .
3-6
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