51 files

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

posted on 2021-03-09, 13:52 authored by Peter MurphyPeter Murphy, Niklas WilmingNiklas Wilming, Diana Carolina Hernandez Bocanegra, Genis Prat Ortega, Tobias Donner

This dataset contains source reconstructed MEG data for:

Murphy PR, Wilming N, Hernandez Bocanegra DC, Prat Ortega G & Donner TH (2021). Adaptive circuit dynamics across human cortex during evidence accumulation in changing environments. Nature Neuroscience. Online ahead of print.

Each "*source_reconstructions*" .zip contains files for trial onset-aligned epochs (full-length trials composed of 12 evidence samples only), separately for low (1-35 Hz in steps of 1 Hz; "LF") and high (36-160 Hz in steps of 4 Hz; "HF") frequency TFR decompositions. Furthermore, each session is spread over a number of files that contain 100 trials each. Files from one epoch type can be safely concatenated in pandas.

Individual files can be read by using `pandas.read_hdf`. This will return a table that contains individual ROIs as columns and a multi-index that labels each data point. Specifically, the index contains a trial identifier ('trial'), a time identifier ('time', seconds relative to trial onset), an identifier for the TFR settings ('est_key') and a frequency identifier ('est_val').

See https://github.com/DonnerLab/2021_Murphy_Adaptive-Circuit-Dynamics-Across-Human-Cortex/tree/main/source_reconstruct/pymeg for code that makes and further processes datasets of this form. They are made with lcmv_peter.py and an example of further processing is sr_agg_parallel.py (in this case, aggregation of reconstructed over vertices within specified ROIs).

Each “*sr_behav.zip” contains behavioural (‘choices’), task (sample locations: ‘stimIn’; change-point positions: ‘pswitch’; generative distributions at end of each trial: ‘fdist’; and generative distributions per sample position: ‘distseq’) and minimal eye-tracking data (‘pupil’, ‘Xgaze’, ‘Ygaze’, all from only 0.57 s following sample onset) from the same trials in the source reconstructed datasets. Use the ‘trialID’ variable in combination with the ‘trial’ identifier in the source reconstructed datasets to align trials.


Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – DO 1240/3-1, DO 1240/4-1, and SFB 936 - Projekt-Nr. A7.