SRM Resting-state EEG

uploaded by Christoffer Hatlestad-Hall on 2021-08-25 - 25 days ago
last modified on 2021-08-25 - 25 days ago
authored by Christoffer Hatlestad-Hall, Trine Waage Rygvold, Stein Andersson
13614663

OpenNeuro Accession Number: ds003775
Files: 617, Size: 4.49GB, Subjects: 111, Sessions: 2
Available Tasks: resteyesc
Available Modalities: EEG

README

SRM Resting-state EEG

Introduction

This EEG dataset contains resting-state EEG extracted from the experimental paradigm used in the Stimulus-Selective Response Modulation (SRM) project at the Dept. of Psychology, University of Oslo, Norway.

The data is recorded with a BioSemi ActiveTwo system, using 64 electrodes following the positional scheme of the extended 10-20 system (10-10). Each datafile comprises four minutes of uninterrupted EEG acquired while the subjects were resting with their eyes closed. The dataset includes EEG from 111 healthy control subjects (the "t1" session), of which a number underwent an additional EEG recording at a later date (the "t2" session). Thus, some subjects have one associated EEG file, whereas others have two.

Disclaimer

The dataset is provided "as is". Hereunder, the authors take no responsibility with regard to data quality. The user is solely responsible for ascertaining that the data used for publications or in other contexts fulfil the required quality criteria.

The data

Raw data files

The raw EEG data signals are rereferenced to the average reference. Other than that, no operations have been performed on the data. The files contain no events; the whole continuous segment is resting-state data. The data signals are unfiltered (recorded in Europe, the line noise frequency is 50 Hz). The time points for the subject's EEG recording(s), are listed in the *_scans.tsv file (particularly interesting for the subjects with two recordings).

Please note that the quality of the raw data has not been carefully assessed. While most data files are of high quality, a few might be of poorer quality. The data files are provided "as is", and it is the user's esponsibility to ascertain the quality of the individual data file.

/derivatives/cleaned_data

For convenience, a cleaned dataset is provided. The files in this derived dataset have been preprocessed with a basic, fully automated pipeline (see /code/s2_preprocess.m for details) directory for details. The derived files are stored as EEGLAB .set files in a directory structure identical to that of the raw files. Please note that the *_channels.tsv files associated with the derived files have been updated with status information about each channel ("good" or "bad"). The "bad" channels are – for the sake of consistency – interpolated, and thus still present in the data. It might be advisable to remove these channels in some analyses, as they (per definition) do not provide anything to the EEG data. The cleaned data signals are referenced to the average reference (including the interpolated channels).

Please mind the automatic nature of the employed pipeline. It might not perform optimally on all data files (e.g. over-/underestimating proportion of bad channels). For publications, we recommend implementing a more sensitive cleaning pipeline.

Demographic and cognitive test data

The participants.tsv file in the root folder contains the variables age, sex, and a range of cognitive test scores. See the sidecar participants.json for more information on the behavioural measures. Please note that these measures were collected in connection with the "t1" session recording.

How to cite

All use of this dataset in a publication context requires the following paper to be cited:

Rygvold, T. W., Hatlestad‐Hall, C., Elvsåshagen, T., Moberget, T., & Andersson, S. (2021). Do visual and auditory stimulus‐specific response modulation reflect different mechanisms of neocortical plasticity?. European Journal of Neuroscience, 53(4), 1072-1085. DOI: http://dx.doi.org/10.1111/ejn.14964

Contact

Questions regarding the EEG data may be addressed to Christoffer Hatlestad-Hall (chr.hh@pm.me).

Question regarding the project in general may be addressed to Stein Andersson (stein.andersson@psykologi.uio.no) or Trine W. Rygvold (t.w.rygvold@psykologi.uio.no).

Authors

  • Christoffer Hatlestad-Hall
  • Trine Waage Rygvold
  • Stein Andersson

Dataset DOI

10.18112/openneuro.ds003775.v1.0.0

License

CC0

Acknowledgements

How to Acknowledge

Reference to Rygvold T, Hatlestad-Hall C et al. (2021): http://dx.doi.org/10.1111/ejn.14964

Funding

References and Links

Ethics Approvals

How To Cite

Copy
Christoffer Hatlestad-Hall and Trine Waage Rygvold and Stein Andersson (2021). SRM Resting-state EEG. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003775.v1.0.0
More citation info

SRM Resting-state EEG

uploaded by Christoffer Hatlestad-Hall on 2021-08-25 - 25 days ago
last modified on 2021-08-25 - 25 days ago
authored by Christoffer Hatlestad-Hall, Trine Waage Rygvold, Stein Andersson
13614663

OpenNeuro Accession Number: ds003775
Files: 617, Size: 4.49GB, Subjects: 111, Sessions: 2
Available Tasks: resteyesc
Available Modalities: EEG

README

SRM Resting-state EEG

Introduction

This EEG dataset contains resting-state EEG extracted from the experimental paradigm used in the Stimulus-Selective Response Modulation (SRM) project at the Dept. of Psychology, University of Oslo, Norway.

The data is recorded with a BioSemi ActiveTwo system, using 64 electrodes following the positional scheme of the extended 10-20 system (10-10). Each datafile comprises four minutes of uninterrupted EEG acquired while the subjects were resting with their eyes closed. The dataset includes EEG from 111 healthy control subjects (the "t1" session), of which a number underwent an additional EEG recording at a later date (the "t2" session). Thus, some subjects have one associated EEG file, whereas others have two.

Disclaimer

The dataset is provided "as is". Hereunder, the authors take no responsibility with regard to data quality. The user is solely responsible for ascertaining that the data used for publications or in other contexts fulfil the required quality criteria.

The data

Raw data files

The raw EEG data signals are rereferenced to the average reference. Other than that, no operations have been performed on the data. The files contain no events; the whole continuous segment is resting-state data. The data signals are unfiltered (recorded in Europe, the line noise frequency is 50 Hz). The time points for the subject's EEG recording(s), are listed in the *_scans.tsv file (particularly interesting for the subjects with two recordings).

Please note that the quality of the raw data has not been carefully assessed. While most data files are of high quality, a few might be of poorer quality. The data files are provided "as is", and it is the user's esponsibility to ascertain the quality of the individual data file.

/derivatives/cleaned_data

For convenience, a cleaned dataset is provided. The files in this derived dataset have been preprocessed with a basic, fully automated pipeline (see /code/s2_preprocess.m for details) directory for details. The derived files are stored as EEGLAB .set files in a directory structure identical to that of the raw files. Please note that the *_channels.tsv files associated with the derived files have been updated with status information about each channel ("good" or "bad"). The "bad" channels are – for the sake of consistency – interpolated, and thus still present in the data. It might be advisable to remove these channels in some analyses, as they (per definition) do not provide anything to the EEG data. The cleaned data signals are referenced to the average reference (including the interpolated channels).

Please mind the automatic nature of the employed pipeline. It might not perform optimally on all data files (e.g. over-/underestimating proportion of bad channels). For publications, we recommend implementing a more sensitive cleaning pipeline.

Demographic and cognitive test data

The participants.tsv file in the root folder contains the variables age, sex, and a range of cognitive test scores. See the sidecar participants.json for more information on the behavioural measures. Please note that these measures were collected in connection with the "t1" session recording.

How to cite

All use of this dataset in a publication context requires the following paper to be cited:

Rygvold, T. W., Hatlestad‐Hall, C., Elvsåshagen, T., Moberget, T., & Andersson, S. (2021). Do visual and auditory stimulus‐specific response modulation reflect different mechanisms of neocortical plasticity?. European Journal of Neuroscience, 53(4), 1072-1085. DOI: http://dx.doi.org/10.1111/ejn.14964

Contact

Questions regarding the EEG data may be addressed to Christoffer Hatlestad-Hall (chr.hh@pm.me).

Question regarding the project in general may be addressed to Stein Andersson (stein.andersson@psykologi.uio.no) or Trine W. Rygvold (t.w.rygvold@psykologi.uio.no).

Authors

  • Christoffer Hatlestad-Hall
  • Trine Waage Rygvold
  • Stein Andersson

Dataset DOI

10.18112/openneuro.ds003775.v1.0.0

License

CC0

Acknowledgements

How to Acknowledge

Reference to Rygvold T, Hatlestad-Hall C et al. (2021): http://dx.doi.org/10.1111/ejn.14964

Funding

References and Links

Ethics Approvals

How To Cite

Copy
Christoffer Hatlestad-Hall and Trine Waage Rygvold and Stein Andersson (2021). SRM Resting-state EEG. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003775.v1.0.0
More citation info

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Dataset File Tree

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