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Brain vision recorder version 2

Manufactured by Brain Products
Sourced in Germany

The Brain Vision Recorder, version 2.0, is a data acquisition system used for recording and analyzing brain signals. It supports various neuroimaging techniques, including electroencephalography (EEG), magnetoencephalography (MEG), and event-related potentials (ERPs). The system is designed to provide reliable and high-quality data capture for research and clinical applications.

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2 protocols using brain vision recorder version 2

1

EEG Recording of Visual Perception Task

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During the experiment, participants sat in a dimly light room ∼70 cm from a 24-inch LCD monitor (resolution, 1920 × 1080 pixels; refresh frequency, 60 Hz). E-prime, version 3.0 (Psychology Software Tools, Inc., Sharpsburg, PA), was used to present all visual stimuli with the corresponding triggers and to record both response accuracy and reaction time via the keypress. The electroencephalogram (EEG) signals were recorded using Brain Vision Recorder, version 2.0 (Brain Products GmbH, Germany), at a sampling rate of 1000 Hz from 64 electrodes placed on the scalp according to the international 10-10 system. The EEG record was referenced online against the FCz site and was grounded at the AFz site. One electrode was placed on the left mastoid and another on the right mastoid for offline re-referencing. The vertical electrooculogram was recorded just below the left eye. The horizontal electrooculogram was recorded at the outer canthus of the right eye. Electrode impedances were kept below 5 kΩ for the duration of the experiment. The E‐Prime and the EEG system software timing were synchronized with the video stimulus onset.
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2

Spatial Stroop-Simon Task ERP Analysis

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ERP data were collected during the spatial Stroop-Simon task. Thirty-two channels of scalp electroencephalography (EEG) activity were recorded with the Brain Products System (Brain Vision Recorder Version 2.0; Brain Products, Munich, Germany), and ERP signals were extracted with the method described in previous studies (Wang et al., 2014; (link)Zheng et al., 2019) (link). We focused on the slow potential (SP) component in ERP signals to evaluate con ict control function (Bartholow, 2010) (link).
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