{
  "Name": "Appleseed Audiobook MEG",
  "BIDSVersion": "1.7.0",
  "DatasetType": "raw",
  "License": "CC0",
  "Authors": [
    "Brodbeck, Christian",
    "Bhattasali, Shohini",
    "Cruz Heredia, Aura AL",
    "Resnik, Philip",
    "Simon, Jonathan Z",
    "Lau, Ellen"
  ],
  "Acknowledgements": "Funding and support for this research",
  "HowToAcknowledge": "Please cite this paper: Christian Brodbeck, Shohini Bhattasali, Aura AL Cruz Heredia, Philip Resnik, Jonathan Z Simon, Ellen Lau (2022). Parallel processing in speech perception with local and global representations of linguistic context. eLife, 11, e72056. https://doi.org/10.7554/elife.72056",
  "Funding": [
    "NIH"
  ],
  "EthicsApprovals": [
    "The study was approved by the IRB of the University of Maryland under the protocol titled 'MEG Studies of Speech and Language Processing' (reference # 01153), on August 22, 2018 and September 9, 2019 (approval duration: 1 year). All participants provided written informed consent prior to the start of the experiment."
  ],
  "ReferencesAndLinks": [
    "Christian Brodbeck, Shohini Bhattasali, Aura AL Cruz Heredia, Philip Resnik, Jonathan Z Simon, Ellen Lau (2022). Parallel processing in speech perception with local and global representations of linguistic context. eLife, 11, e72056. https://doi.org/10.7554/elife.72056"
  ],
  "DatasetDescription": "Magnetoencephalography (MEG) recordings of 12 subjects listening to continuous narrative speech. This dataset investigates speech processing by examining signatures of local and unified predictive models in neural responses. MEG data are in FIFF format, processed with MNE-Python. MRI data are derived from the fsaverage template with subject-specific scaling parameters.",
  "GeneratedBy": [
    {
      "Name": "MNE-BIDS",
      "Version": "0.17.0",
      "CodeURL": "https://mne.tools/mne-bids/",
      "Description": "Conversion of MEG data to BIDS format using MNE-Python"
    }
  ],
  "Notes": [
    "Subjects sub-04 and sub-05 heard stimulus 11b instead of stimulus 11",
    "MRI data are not subject-specific anatomical scans but are derived from the fsaverage template using subject-specific scaling parameters",
    "Original audio files are copyrighted and cannot be shared",
    "All subjects except sub-11 were right handed, sub-11 was left handed"
  ],
  "DatasetDOI": "10.82901/nemar.on007870",
  "SourceDatasets": [
    {
      "DOI": "doi:10.18112/openneuro.ds007870.v1.3.2"
    }
  ],
  "Version": "1.0.0"
}