Motor sequence learning

uploaded by Eva Berlot on 2020-05-03 - over 1 year ago
last modified on 2020-05-11 - over 1 year ago
authored by Eva Berlot, Nicola Popp, Jörn Diedrichsen
41599

OpenNeuro Accession Number: ds002776
Files: 2113, Size: 170.03GB, Subjects: 26, Sessions: 4
Available Tasks: motorseq
Available Modalities: T1w, bold, events, fieldmap

README

Motor sequence learning

This contains the raw 7 Tesla fMRI data and structural images, used in the "A critical re-evaluation of fMRI signatures of motor sequence learning" (https://www.biorxiv.org/content/10.1101/2020.01.08.899229v2.full). Please, note that while this is a preprint, the dataset should be cited using a published peer-reviewed version of the paper.

The experiment consisted of 4 imaging sessions, across 5 weeks of training. Participants (N=26) underwent session 1 (ses-01) prior to training onset, session 2 (ses-02) after a week of training and sessions 3-4 (ses-03, ses-04) after 5 weeks. Performance across sesssions 1-3 was paced using a metronome, and in session 4 the performance was at full speed.

Participants executed inside the scanner 6 trained and 6 untrained sequences. Sequence identity (1-12) and sequence type (trained / untrained) for each trial can be found in the accompanying events.tsv files. Additionally, each sequence was performed twice in a row (repetition 1-2 in events.tsv).

Authors

  • Eva Berlot
  • Nicola Popp
  • Jörn Diedrichsen

Dataset DOI

10.18112/openneuro.ds002776.v1.0.2

License

CC0

Acknowledgements

How to Acknowledge

If you use these data, please cite the appropriate manuscripts.

Funding

  • NSERC Discovery Grant (RGPIN-2016-04890)
  • Canada First Research Excellence Fund (BrainsCAN)
  • Ontario Trillium Scholarship

References and Links

Ethics Approvals

How To Cite

Copy
Eva Berlot and Nicola Popp and Jörn Diedrichsen (2020). Motor sequence learning. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds002776.v1.0.2
More citation info

Motor sequence learning

uploaded by Eva Berlot on 2020-05-03 - over 1 year ago
last modified on 2020-05-11 - over 1 year ago
authored by Eva Berlot, Nicola Popp, Jörn Diedrichsen
41599

OpenNeuro Accession Number: ds002776
Files: 2113, Size: 170.03GB, Subjects: 26, Sessions: 4
Available Tasks: motorseq
Available Modalities: T1w, bold, events, fieldmap

README

Motor sequence learning

This contains the raw 7 Tesla fMRI data and structural images, used in the "A critical re-evaluation of fMRI signatures of motor sequence learning" (https://www.biorxiv.org/content/10.1101/2020.01.08.899229v2.full). Please, note that while this is a preprint, the dataset should be cited using a published peer-reviewed version of the paper.

The experiment consisted of 4 imaging sessions, across 5 weeks of training. Participants (N=26) underwent session 1 (ses-01) prior to training onset, session 2 (ses-02) after a week of training and sessions 3-4 (ses-03, ses-04) after 5 weeks. Performance across sesssions 1-3 was paced using a metronome, and in session 4 the performance was at full speed.

Participants executed inside the scanner 6 trained and 6 untrained sequences. Sequence identity (1-12) and sequence type (trained / untrained) for each trial can be found in the accompanying events.tsv files. Additionally, each sequence was performed twice in a row (repetition 1-2 in events.tsv).

Authors

  • Eva Berlot
  • Nicola Popp
  • Jörn Diedrichsen

Dataset DOI

10.18112/openneuro.ds002776.v1.0.2

License

CC0

Acknowledgements

How to Acknowledge

If you use these data, please cite the appropriate manuscripts.

Funding

  • NSERC Discovery Grant (RGPIN-2016-04890)
  • Canada First Research Excellence Fund (BrainsCAN)
  • Ontario Trillium Scholarship

References and Links

Ethics Approvals

How To Cite

Copy
Eva Berlot and Nicola Popp and Jörn Diedrichsen (2020). Motor sequence learning. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds002776.v1.0.2
More citation info

Dataset File Tree

Git Hash: 02e7aa6 

BIDS Validation

Dataset File Tree

Git Hash: 02e7aa6 

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By eva.berlot@gmail.com - over 1 year ago
Added metadata
By eva.berlot@gmail.com - over 1 year ago
Added metadata
By eva.berlot@gmail.com - over 1 year ago
Added metadata
By eva.berlot@gmail.com - over 1 year ago
Changed the reference from preprint to published manuscript
By eva.berlot@gmail.com - over 1 year ago
Changed the reference from preprint to published manuscript
By eva.berlot@gmail.com - over 1 year ago
Changed the reference from preprint to published manuscript
By eva.berlot@gmail.com - over 1 year ago
Changed the reference from preprint to published manuscript