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Net station 4

Manufactured by Electrical Geodesics
Sourced in United States

Net Station 4.5 is a software application developed by Electrical Geodesics, Inc. It is designed to facilitate the acquisition, visualization, and analysis of high-density electroencephalography (EEG) data. The software provides tools for real-time data monitoring, artifact detection, and data preprocessing. Net Station 4.5 supports a range of EEG hardware systems and is compatible with various file formats for seamless data integration.

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22 protocols using net station 4

1

Electrophysiological Recording of Brain Activity

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While viewing the stimuli, participants wore 64-channel HydroCel Geodesic Sensor Nets (Electrical Geodesics, Inc., Eugene, OR) to facilitate electrophysiological recording. The nets connected to a NetAmps 300 amplifier located within the testing room, which referenced on-line to a single vertex electrode (Cz) and applied a 0.1 Hz high-pass filter to the signal. On a nearby computer, NetStation 4.3.1 (Electrical Geodesics Inc., Eugene, OR) recorded the data with a sampling rate of 250 Hz.
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2

High-Density EEG Acquisition Protocol

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Data used for both resting state EEG and ERP analyses was acquired using a 128 HydroCel Sensor Net System (EGI, Inc., Eugene, OR; http://www.egi.com) with an Ag/AgCl- coated, carbon-filled plastic electrode and sponge. EEG data were amplified using NetAmps 200 amplifiers and recorded on a nearby computer using NetStation 4.3.1 (Electrical Geodesics Inc., Eugene, OR). Data were sampled at 250 Hz with a bandpass filter of 0.1 to 100 Hz. Recorded EEG was digitized with a 12-bit National Instruments Board (National Instruments Corp., Woburn MA) and referenced on-line to a single vertex electrode (Cz).
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3

High-Density EEG Recording Methodology

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Continuous EEG was recorded at 250 Hz using a high-density EGI Hydrocel 128-electrode net, Netamps 400 amplifier, and Netstation 4.5.1 software (Electrical Geodesics, Inc.). In the EGI recording system, impedances at or below 100 kΩ are considered acceptable based on the high input impedance of the EGI amplifiers (e.g., Richards, 2003 (link)). Sensor nets of different sizes were employed, and the one that most closely corresponded to the child’s head circumference was used.
Even though EEG was recorded from the whole surface, the analyses focused on specific channels in frontal areas. A subset of three individual electrodes on each hemisphere was chosen for each child depending on the exact placement of the net. The electrodes were chosen according to the 10–20 system of electrode placement for F3 and F4 (e.g., see Yang et al. 2007 ). The most common subset of three electrodes for the right hemisphere was 2, 3, 9 (N = 12), and the most common sets for the left hemisphere were 23, 26, 27 and 24, 27, 28 (both N = 10).
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4

EEG Recording in Acoustic Attenuation

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The study was conducted in an acoustically attenuated, dimly lit room. A 19-inch monitor was placed in front of the participants. EEG was recorded using the Electrical Geodesics system with 128-channel HydroCel Geodesic Sensor Net (GES 300; Electrical Geodesics, Inc.) and Net Station 4.5.1 software. Electrode impedance levels were kept below 50 kΩ, and 100 Hz online low pass filter was applied. Cz served as a reference and sampling rate of 1000 Hz was used for recordings.
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5

High-Density EEG Recording of Memory Task

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As the EEG cap could be fitted very rapidly (about 15 min), there was only a very short interval between the learning phase and the TNT task. EEG activity was continuously recorded by a GES 300 amplifier (Electrical Geodesics, Inc.), using a HydroCel Geodesic Sensor Net (HGSN-128; Electrical Geodesics, Inc., Eugene, OR, United States) with a dense array of 128 Ag/AgCl sensors73 (link). Impedances were kept under 100 k Ω 74 (link), and the EEG channel was referenced to a vertex reference Cz, and the ground to CPPZ (fixed by the EGI system). The signal was sampled at a 20-kHz frequency with a 24-bit A/D and was online (hardware) amplified and low-pass filtered at 4 kHz. The signal was then filtered by a Butterworth low-pass finite impulse response (FIR) filter at 500 Hz and subsampled at 1 kHz. Electro-oculograms were recorded using four electrodes placed vertically and horizontally around the eyes. EEG data were processed offline using Netstation 4.4.2 (Electrical Geodesics Inc., Eugene, OR, USA). The signal was filtered using a 1-Hz Kaiser FIR first-order high-pass filter (which ensures a linear phase and no distortion in the bandwidth), in order to discard DC and very slow waves.
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6

Robust EEG Signal Acquisition and Preprocessing

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EEG activity was continuously recorded by a GES 300 amplifier (Electrical Geodesics, Inc. Eugene, OR, USA) using an EGI Hydrocel Geodesic Sensor Net (HGSN-128) with a dense array of 128 Ag/AgCl sensors. Impedances were kept under 100 kΩ, and EEG channels were referenced to a vertex reference Cz and ground to CPPZ (fixed by the EGI system). The signal was sampled at 20 kHz frequency with a 24-bit A/D and was online (hardware) amplified and low-pass filtered at 4 kHz. The signal was filtered by a Butterworth low-pass finite impulse response (FIR) filter at 500 Hz and subsampled at 1 kHz. An electro-oculogram was performed using four electrodes placed vertically and horizontally around the eyes. EEG data were processed offline using Netstation 4.4.2 (Electrical Geodesics Inc., Eugene, OR, USA). The signal was filtered using a 1 Hz Kaiser FIR first-order high-pass filter (which ensures a linear phase and no distortion in the bandwidth) to discard DC and very slow waves.
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7

Detailed Electroencephalogram Acquisition Protocol

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Electroencephalogram data were acquired with 128-channel Hydrocel Nets (Electrical Geodesics, Inc., Eugene, OR), Netamps 400 amplifiers, and Netstation 4.5 software. The electroencephalogram was digitized continuously at 500Hz with a vertex reference. Per manufacturer recommendations, channel impedances were kept below 50 kΩ, and the net was wrapped with gauze to optimize contact between the electrodes and scalp.
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8

EEG Study of Visual Perception on Dell Laptop

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The tasks were presented on a Dell Precision M3800 laptop (2048 x 1152 pixels, 60 Hz) using the Psychophysics Toolbox for MATLAB (Brainard, 1997; Kleiner, Brainard & Pelli, 2007; Pelli, 1997). EEG signals were collected using 128-channel Hydrocel Geodesic Sensor Nets connected to Net Amps 300 (Electrical Geodesics Inc., OR, USA) and NetStation 4.5 software. A photodiode attached to the monitor independently verified stimulus presentation timing. Participants used a Cedrus RB-540 response box (Cedrus, CA, USA).
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9

EEG Data Collection and Analysis Protocol

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EEG was recorded for the entire duration of the two experimental sessions. Data were collected at a sampling rate of 1000 Hz using the high impedance amplifier Net Amp 300 and Net Station 4.3 (Electrical Geodesics Inc.). Impedances were kept below 50 kΩ. From the original 256 electrodes, 73 located on the cheeks and on the neck were removed and the recordings from the remaining 183 electrodes were used for analysis. During the recording, EEG signal was referenced to Cz electrode. For analysis, data were down-sampled to 250 Hz and re-referenced to the average across the 183 electrodes.
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10

EEG Data Collection and Analysis Protocol

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EEG was recorded for the entire duration of the experimental session, both during the task performance and in the resting state periods. Data were collected at a sampling rate of 1000 Hz using the high impedance amplifier Net Amp 300 and Net Station 4.3 (Electrical Geodesics Inc.). Impedances were kept below 50 kΩ. From the original 256 electrodes, we removed 73 channels located on the cheeks and on the neck. The remaining 183 electrodes were used for further analysis. During the recording, the EEG signal was referenced to the Cz electrode. For analysis, data were down‐sampled to 250 Hz and rereferenced to the average across the 183 electrodes.
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