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Raw MEG Data for Adaptive Circuit Dynamics Across Human Cortex During Evidence Accumulation in Changing Environments

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Figshare2021-04-30 更新2026-04-08 收录
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https://figshare.com/articles/dataset/Raw_MEG_Data_for_Adaptive_Circuit_Dynamics_Across_Human_Cortex_During_Evidence_Accumulation_in_Changing_Environments/14039384
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This dataset contains raw MEG data for:<br>Murphy PR, Wilming N, Hernandez Bocanegra DC, Prat Ortega G &amp; Donner TH (2021). Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments. <em>Nature Neuroscience</em>. Online ahead of print.<br><br>Each .zip contains one MEG recording in native CTF format, typically consisting of several blocks of the decision-making task described in the paper. These datasets are readable by, e.g., the FieldTrip Toolbox for Matlab (https://www.fieldtriptoolbox.org/) or python-mne (https://mne.tools/stable/index.html).<br> File naming scheme is <i>ID-SESS_Surprise_DATE_REC.ds</i>, where <i>ID</i> and <i>SESS</i> are the participant ID and session number that allow identification with behavioural and eye-tracking data also made available on Figshare. <br> To parse events etc. from these data, have a look at example code on https://github.com/DonnerLab/2021_Murphy_Adaptive-Circuit-Dynamics-Across-Human-Cortex. A good start would be `\motor_localizer\MEGpreprocessing.m`.
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2021-03-05
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