GitHub - OpenNeuroDatasets/ds006468: OpenNeuro dataset - MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps And Noisy Sentences.

OpenNeuroDatasets / ds006468 Public

Notifications You must be signed in to change notification settings
Fork 1
Star 0

OpenNeuro dataset - MEG-SCANS - A comprehensive magnetoencephalography speech dataset with Stories, Chirps And Noisy Sentences.

openneuro.org/datasets/ds006468

0 stars 1 fork Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
.datalad		.datalad
derivatives		derivatives
stimuli		stimuli
sub-01		sub-01
sub-02		sub-02
sub-03		sub-03
sub-04		sub-04
sub-05		sub-05
sub-06		sub-06
sub-07		sub-07
sub-08		sub-08
sub-09		sub-09
sub-10		sub-10
sub-11		sub-11
sub-12		sub-12
sub-13		sub-13
sub-14		sub-14
sub-15		sub-15
sub-16		sub-16
sub-17		sub-17
sub-18		sub-18
sub-19		sub-19
sub-20		sub-20
sub-21		sub-21
sub-22		sub-22
sub-23		sub-23
sub-24		sub-24
.gitattributes		.gitattributes
CHANGES		CHANGES
README		README
dataset_description.json		dataset_description.json
participants.json		participants.json
participants.tsv		participants.tsv

Repository files navigation

References
----------
Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A. and Jas, M. (2019). MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software 4: (1896).https://doi.org/10.21105/joss.01896

Niso, G., Gorgolewski, K. J., Bock, E., Brooks, T. L., Flandin, G., Gramfort, A., Henson, R. N., Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Schoffelen, J., Tadel, F., Wexler, J., Baillet, S. (2018). MEG-BIDS, the brain imaging data structure extended to magnetoencephalography. Scientific Data, 5, 180110.https://doi.org/10.1038/sdata.2018.110

Description
-----------
The MEG-SCANS (Stories, Chirps, And Noisy Sentences) dataset provides raw and MaxFiltered magnetoencephalography (MEG) recordings from 24 German-speaking participants, collected over three months. Each participant engaged in an auditory experiment, listening to approximately one hour of stimuli, including two audiobooks (approx. 20 minutes each), 120 sentences from the Oldenburger Matrix Sentence Test (OLSA) presented at varying speech intelligibility levels (20% to 95%) for Speech Reception Threshold (SRT) assessment, and short up-chirps used for MEG signal quality assessment. For each participant, the dataset comprises raw MEG data, corresponding MaxFiltered data, two empty-room MEG recordings (pre- and post-session), a structural MRI scan of the head, behavioral audiogram and SRT results from hearing screenings, and the corresponding audio stimulus material (audiobooks, envelopes, and chirp stimuli). Auxiliary channels recorded include the left audio channel (MISC001), right audio channel (MISC002), and the instructor's microphone (MISC007), all sampled at 1000 Hz. Organized according to the Brain Imaging Data Structure (BIDS), this dataset offers a robust benchmark for large-scale encoding/decoding analyses of temporally-resolved brain responses to speech. Note that sub-01 served as a pilot so that its data resembles a slightly different experimental design, specifically lacking chirp stimuli and featuring different audiobooks; this variation is accounted for in the provided analysis pipelines. Comprehensive Matlab and Python code are included alongside the entire analysis pipeline [https://doi.org/10.5281/zenodo.17397581] to replicate key data validations, ensuring transparency and reproducibility.