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readme.md

Data used in: High-gamma mirror activity patterns in the human brain during reach-to-grasp movement observation, retention, and execution – an MEG study (PLOS One, accepted)

Timeseries data preprocessed as described in the article.
(Maxfilter, ICA cleaning, filtering, downsampling)

Files:

  • channel_names.npy - list of channel names
  • sFreq.npy - sampling frequency (200 Hz)
  • times.npy - time vector (-1 s to 2s)

Data files:
(All numpy arrays: trials x channels x samples)

  • observation - aligned to video onset
  • retention - aligned to video offset
  • execution - aligned to movement start
  • grasp - aligned to grasp closure

By A.M.Dreyer & J.W.Rieger

All data in this repository is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

You should have received a copy of the license along with this work. If not, see http://creativecommons.org/licenses/by-nc/4.0/.

datacite.yml
Title High-gamma mirror activity patterns in the human brain during reach-to-grasp movement observation, retention, and execution – an MEG study
Authors Dreyer,A. M.;Department of Psychology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany;ORCID:0000-0001-5291-1621
Rieger,J. W.;Department of Psychology, Carl von Ossietzky University Oldenburg, Oldenburg, Germany;ORCID:0000-0003-0955-2306
Description MEG Data used in: High-gamma mirror activity patterns in the human brain during reach-to-grasp movement observation, retention, and execution – an MEG study (PLOS One, accepted)
License Creative Commons CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
References Dreyer, AM & Rieger, JW High-gamma mirror activity patterns in the human brain during reach-to-grasp movement observation, retention, and execution – an MEG study. PLOS One. (accepted) [doi::tba] (IsSupplementTo)
Funding Forschungspool of the School of Medicine and Health Sciences, University of Oldenburg (https://uol.de/medizin/forschungspool; Grant 2017-006)
Keywords Neuroscience
Mirror Neurons
Grasping
Resource Type Dataset