Continuous MEG data were recorded at the Center for Mind and Brain Sciences of the University of Trento using Elekta Neuromag 306 MEG system (Elekta, Helsinki, Finland), composed of 102 magnetometers and 204 planar gradiometers, placed in a magnetically shielded room (AK3B, Vakuumschmelze, Hanau, Germany). Prior to the experiment, participants’ head shape was recorded using a 3D digitizer (Fastrak Polhemus, Inc., Colchester, VA, USA), including the fiducial points (nasion, left and right periaricular sites) and the position of five coils (one on the left and right mastoid, three on the forehead). Before each run head position within the MEG helmet was recorded by inducing a non-invasive current though the five coils. Data were collected at 1000 Hz and hardware filters were adjusted to bandpass the MEG signal in the frequency range of 0.01-330 Hz.
Neuromag 306 meg system
Manufactured by Elekta
Sourced in Finland
The Neuromag 306 MEG system is a non-invasive neuroimaging device that measures the magnetic fields generated by the brain's electrical activity. It uses an array of 306 highly sensitive magnetometers to detect and record these magnetic signals, which can provide insights into brain function and structure. The system is designed for use in research and clinical applications, but a detailed description of its intended use or interpretation of the data it collects is not available.
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Lab products found in correlation
2 protocols using neuromag 306 meg system
1
Continuous MEG Data Collection Methodology
2
MEG Recording and Preprocessing Protocol
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Electromagnetic brain activity was recorded using an Elekta Neuromag 306 MEG system, composed of 204 planar gradiometers and 102 magnetometers. Signals were sampled continuously at 1,000 Hz and band-pass filtered online between 0.1 and 330Hz. Offline preprocessing was done using the Elekta MaxFilter/MaxMove software, MATLAB (RRID:SCR_001622) and the FieldTrip analysis package (RRID:SCR_004849). Spatiotemporal signal space separation (tSSS) was performed to reduce noise originating from external (non-brain) signals, as well as noise produced by head motion, by exploiting certain properties of the solution to the Maxwell equations (Taulu and Simola 2006 (link)), as implemented by the Elekta MaxFilter/MaxMove software. Data were then demeaned, detrended, down-sampled to 100 Hz and time-locked to visual onset. The data were averaged across trials of the same exemplar across runs (excluding one-back trials, which were discarded), resulting in a total of 90 unique test trials throughout the main experiment (15 per condition), and 120 unique train/test trials throughout the intact scenes experiment (30 per condition). Except for the one-back trials, no trials were excluded and no additional artifact removal methods were used.
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