Brainamp amplifier

Manufactured by Brain Products

Sourced in Germany

The BrainAmp amplifier is a high-performance, multi-channel amplifier designed for electrophysiological research. It offers precise signal acquisition and amplification capabilities, enabling the recording of various bioelectric signals. The BrainAmp amplifier is compatible with a range of electrodes and can be integrated into various experimental setups.

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123 protocols using brainamp amplifier

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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Simultaneous EEG and EMG Recording

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EEG activity was recorded with a commercial Acticap system (BrainProducts GmbH, Germany), with 32 channels placed on FP1, FP2, F7, F3, F4, F8, FC3, FC1, FCz, FC2, FC4, C5, C3, C1, Cz, C2, C4, C6, CP3, CP1, CPz, CP2, CP4, T7, T8, P7, P3, Pz, P4, P8, O1, and O2, following the international 10/20 system (Seeck et al., 2017 (link)). The ground and reference electrodes were located at FPz and Fz, respectively. The recording electrodes were connected to a monopolar BrainAmp amplifier (BrainProducts GmbH, Germany).
EMG activity from the right tibialis anterior (TA) muscle was recorded using Ag/AgCl bipolar electrodes (Myotronics-Noromed, Tukwila, Wa, USA) combined with an MR-compatible BrainAmp amplifier (BrainProducts GmbH, Germany). The recording electrodes had an inter-electrode space of 4 cm. The ground electrode was placed on the right patella. All the signals were synchronously acquired at 1 kHz sampling rate. Both amplifiers were directly connected to powerpacks to avoid power-line noise being introduced into the neurophysiological signals.

Insausti-Delgado A., López-Larraz E., Nishimura Y., Ziemann U, & Ramos-Murguialday A. (2022). Non-invasive brain-spine interface: Continuous control of trans-spinal magnetic stimulation using EEG. Frontiers in Bioengineering and Biotechnology, 10, 975037.

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Real-Time EEG Data Acquisition and Processing

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For EEG data collection, a 32 electrodes headset was used following the international 10-20 system. The signal was acquired using NeuroRT Acquisition Server, then filtered to remove artifacts and transformed in real-time using Mensia NeuroRT (Paris, France). The server directly captures EEG data from a BrainAmp amplifier connected to an actiCAP 32 Ch Standard-2 from Brain Products. chose to use NeuroRT due to its ability to provide real-time FFT data, which splits a signal into frequency bands and provides real-time filtering options. Participants sat at a desk with an adjustable chair, approx. 80 cm from a 24'' computer monitor, and were provided with a mouse and keyboard to interact with the task interface. No means of determining the current time was available during the experiment to prevent any confounds relating to task time remaining.
From a pool of 31 Participants who took part in the study, 24 (11 female) average age 26.73 (Max = 43; Min = 18) provided data usable for analysis. Participants were screened based on good health, moderate hair thickness, and normal to corrected normal vision. Participants were all business school students with experience with information dashboard interfaces and provided written consent following the University's ethics committee guidelines.

Demazure T., Karran A.J., Léger P., Labonté-LeMoyne É., Sénécal S., Frédette M., & Babin G. (2021). Enhancing Sustained Attention. Business & Information Systems Engineering, 63(6), 653-668.

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EEG Acquisition in Standard Montage

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EEG data were collected from 61 Ag/AgCl active electrodes (actiCAP, Brain Products, Gilching, Germany) mounted on an elastic cap and arranged in a standard International 10–20 montage referenced to the left mastoid. Vertical eye movement was monitored by a right suborbital electrode, and horizontal eye movement was monitored using an electrode on the right external canthus. Electrode impedances were kept below 20 kΩ. EEGs were amplified using a BrainAmp amplifier (Brain Products), continuously sampled at 500 Hz.

Stewardson H.J, & Sambrook T.D. (2021). Reward prediction error in the ERP following unconditioned aversive stimuli. Scientific Reports, 11, 19912.

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Behavioral and Neural Correlates of Cognitive Processing

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E-prime 2.0 was used to record the behavioral data of the participants, including response time and accuracy rates of responses. The collected behavioral data were analyzed using SPSS 18.0 for repeated measures analysis of variance (ANOVA).
Electroencephalogram (EEG) data were recorded based on the International 10–20 System with BrainAmp amplifier (Brain Products, Zeppelinstraße, Gilching, Germany)and Ag/AgCl electrodes produced by Brain Products Company (Brain Products, Zeppelinstraße, Gilching, Germany). During recording, the sample rate was 1000 Hz and the frequency range of the amplifier was 0.01–100 Hz. The impedance between the electrodes and the scalp was kept below 5 KΩ. The bandpass filter was set as 0.1–50 Hz with a slope of 24 db/Oct and a notch at 50 Hz. EOG correction was based on 10 Independent Component Analysis (ICA), which detected blinking and then eliminated the EOG component in the blink interval. All trials containing EEG and EOG segments with an amplitude beyond ±75µV were rejected as artifacts. Participants’ data were excluded if their ERP in any condition was less than 30 times on average.

Wang C., Yan A., Deng W, & Qi C. (2022). Effect of Tennis Expertise on Motion-in-Depth Perception at Different Speeds: An Event-Related Potential Study. Brain Sciences, 12(9), 1160.

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Infant EEG Response to Maternal Speech

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The data used as an example here are seven minutes of EEG data collected from a 7-month-old infant listening to a recording of his mother reading a children’s story. When comparing generic and individual model computation (see below), data from nine additional 7-month-olds from the same experimental set-up will be used. All recordings were conducted according to the Declaration of Helsinki, approved by the ethics committee at the University of Lübeck, and parents provided written informed consent. For recording, we used an elastic cap (BrainCap, Easycap GmbH), in which 27 AgAgCl-electrodes were mounted according to the modified international 10–20-system. Data were recorded at a sampling rate of 500 Hz using a BrainAmp amplifier and the BrainVision Recorder software (both Brain Products). The example data set and associated analysis code can be found here: https://osf.io/7h58x/.

Jessen S., Obleser J, & Tune S. (2021). Neural tracking in infants – An analytical tool for multisensory social processing in development. Developmental Cognitive Neuroscience, 52, 101034.

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Multi-Modal Sleep Scoring Protocol

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Electroencephalographic data were recorded at F3, F4, C3, C4, P3, P4, O1, O2 and left and right mastoids using single (Ag/AgCl) electrodes with a BrainAmp amplifier (Brain Products, Gilching, Germany), a sampling rate of 500 Hz, Cz as a physical online reference and Fpz as a ground electrode. Two electrodes were placed laterally to the outer canthi of the left and right eye to collect EOG data. Two bipolar chin electrodes collected EMG data, and 2 bipolar electrodes collected electrocardiogram data. Impedances were kept below 10 kΩ for EEG, EOG, and EMG electrodes.
For sleep scoring, data were rereferenced against contralateral mastoids, and standard filter settings suggested by the AASM (Iber et al. 2007 ) were applied (e.g. EEG 0.3–35 Hz) with an additional notch filter (50 Hz). Data were exported in EDF format and scored by a central scoring facility following the AASM guidelines with a validated scoring algorithm and visual quality control (Anderer et al. 2010 (link)). Results were manually checked by additional scorers, who were blind to the experimental condition. In addition to sleep scoring data, the scoring algorithm also provided microstructural arousal and stage shift parameters. Sleep scoring parameters were computed using the SleepTrip toolbox (https://www.sleeptrip.org/; RRID: SCR_017318).

Beck J., Loretz E, & Rasch B. (2022). Stress dynamically reduces sleep depth: temporal proximity to the stressor is crucial. Cerebral Cortex (New York, NY), 33(1), 96-113.

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Electroencephalogram Recording Methodology

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Continuous electroencephalogram (EEG) was recorded with a BrainAmp amplifier and 30 active Ag-AgCl electrodes (Brain Products, Gilching, Germany) mounted on an actiCap (EASYCAP, Herrsching, Germany) according to the international 10–20 system montage. BrainVision Recorder 1.2 (Brain Products, Gilching, Germany) was used; the sampling rate was 250 Hz. Electrode impedance was kept below 10 kΩ. Electrodes were referenced to FCz electrode. To monitor ocular artefacts, vertical (vEOG) and horizontal (hEOG) electrooculogram were recorded with two electrodes positioned at the suborbital ridge and the external ocular canthus of the right eye, respectively.

Seer C., Lange F., Loens S., Wegner F., Schrader C., Dressler D., Dengler R, & Kopp B. (2017). Dopaminergic modulation of performance monitoring in Parkinson’s disease: An event-related potential study. Scientific Reports, 7, 41222.

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EEG and Eye Tracking Multimodal Protocol

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EEG was recorded with a BrainAmp amplifier by Brain Products GmbH with a sampling rate of 1,000 Hz using 19 active electrodes, positioned according to the 10-20 system in the following positions: Fp1, Fp2, F7, F3, Fz, F4, F8, T7, C3, Cz, C4, T8, P7, P3, Pz, P4, P8, O1, and O2. Additionally, three electrooculogram electrodes were included (left and right of the eyes, and adjacent to the radix nasi). References were placed on the left and right mastoid and the ground electrode was placed centrally on the forehead. Impedances were kept below 30 kOhm.
The eye tracking data was recorded using an EyeLink 1000 Plus eye tracker by SR Research Ltd. with a sampling rate of 1,000 Hz. For a more detailed description of the experimental setup and procedure (see Ceh et al., 2020) (link).

Vortmann L., SIMON M., & Putze F. (2022). Multimodal EEG and Eye Tracking Feature Fusion Approaches for Attention Classification in Hybrid BCIs. Frontiers in Computer Science, 4.

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Concurrent EEG-fMRI Acquisition in 3T MRI

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EEG was continuously recorded inside a 3T MRI scanner (Siemens, Trio, Germany). No sedation was given. The EEG acquisition was performed with 25 MR compatible electrodes (Ag/AgCl) placed on the scalp using the 10-20 (reference at FCz) and the 10-10 (F9, T9, P9, F10, T10, and P10) placement systems. Two additional electrodes were placed to record the electrocardiogram. The head of the patient was immobilized with a pillow filled with foam microspheres (Siemens, Germany) to minimize movement artifacts and for patient's comfort. Data were transmitted from a Brain Amp amplifier (Brain Products, Munich, Germany, 5 kHz sampling rate) to the EEG monitor located outside the scanner room via an optic fiber cable.
A T1-weighted anatomical acquisition was first done (1 mm slices, 256 × 256 matrix, TE = 7.4 ms, TR = 23 ms, flip angle 30°) and used to superimpose functional images. The functional data were acquired in runs of 6 min each with the patient in the resting state using a T2^*-weighted EPI sequence (64 × 64 matrix; either 25 slices, 5 × 5 × 5 mm, TE = 30 ms, TR = 1.7 s, or 33 slices, 3.7 × 3.7 × 3.7 mm, TE = 25 ms, TR = 1.9 s; flip angle 90°). The data are available upon request to the authors.

Pittau F., Ferri L., Fahoum F., Dubeau F, & Gotman J. (2017). Contributions of EEG-fMRI to Assessing the Epileptogenicity of Focal Cortical Dysplasia. Frontiers in Computational Neuroscience, 11, 8.

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