APPLESEED Example Dataset

uploaded by Meghan Puglia on 2021-06-28 - 30 days ago
last modified on 2021-07-12 - 16 days ago
authored by Cabell L. Williams, Meghan H. Puglia
3314741

OpenNeuro Accession Number: ds003710
Files: 293, Size: 10.18GB, Subjects: 13, Sessions: 4
Available Tasks: APPLESEED example
Available Modalities: EEG

README

The APPLESEED Example Dataset

This dataset consists of longitudinal EEG recordings from 13 infants at 4, 8, and 12 months of age. Test-retest reliability was assessed at 4 months of age via two appointments (session 1 & 2) that occurred within 1 week of each other. Session 3 data was recorded at 8 months of age and session 4 data was recorded at 12 months of age. Two participants did not return for longitudinal testing at sessions 3 & 4. Therefore, the complete dataset consists of 48 recording sessions, with reliability and longitudinal data (sessions 1-4) for 11 infants (6 F), and reliability data only (sessions 1 & 2) for an additional 2 infants. A channel location file and bin file for analysis are included in the "code" directory.

This dataset was used to develop and validate the Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED) and is provided as an example dataset to accompany Puglia, M.H., Slobin, J.S., & Williams, C.L., 2021. The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED): Development and validation for use in pediatric populations. bioRxiv. https://doi.org/10.1101/2021.07.10.450198.

APPLESEED code is available to download from https://github.com/mhpuglia/APPLESEED.

This dataset is part of a larger, ongoing longitudinal study initially described in Puglia, M.H., Krol, K.M., Missana, M., Williams, C.L., Lillard, T.S., Morris, J.P., Connelly, J.J. and Grossmann, T., 2020. Epigenetic tuning of brain signal entropy in emergent human social behavior. BMC medicine, 18(1), pp.1-24. https://doi.org/10.1186/s12916-020-01683-x.

Authors

  • Cabell L. Williams
  • Meghan H. Puglia

Dataset DOI

10.18112/openneuro.ds003710.v1.0.1

License

CC0

Acknowledgements

How to Acknowledge

Please cite: Puglia, M.H., Slobin, J.S., & Williams, C.L., 2021. The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED): Development and validation for use in pediatric populations. bioRxiv. https://doi.org/10.1101/2021.07.10.450198., and Puglia, M.H., Krol, K.M., Missana, M., Williams, C.L., Lillard, T.S., Morris, J.P., Connelly, J.J., & Grossmann, T. (2020). Epigenetic tuning of brain signal entropy in emergent human social behavior. BMC medicine, 18(1), 1-24. https://doi.org/10.1186/s12916-020-01683-x

Funding

References and Links

Ethics Approvals

How To Cite

Copy
Cabell L. Williams and Meghan H. Puglia (2021). APPLESEED Example Dataset. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003710.v1.0.1
More citation info

APPLESEED Example Dataset

uploaded by Meghan Puglia on 2021-06-28 - 30 days ago
last modified on 2021-07-12 - 16 days ago
authored by Cabell L. Williams, Meghan H. Puglia
3314741

OpenNeuro Accession Number: ds003710
Files: 293, Size: 10.18GB, Subjects: 13, Sessions: 4
Available Tasks: APPLESEED example
Available Modalities: EEG

README

The APPLESEED Example Dataset

This dataset consists of longitudinal EEG recordings from 13 infants at 4, 8, and 12 months of age. Test-retest reliability was assessed at 4 months of age via two appointments (session 1 & 2) that occurred within 1 week of each other. Session 3 data was recorded at 8 months of age and session 4 data was recorded at 12 months of age. Two participants did not return for longitudinal testing at sessions 3 & 4. Therefore, the complete dataset consists of 48 recording sessions, with reliability and longitudinal data (sessions 1-4) for 11 infants (6 F), and reliability data only (sessions 1 & 2) for an additional 2 infants. A channel location file and bin file for analysis are included in the "code" directory.

This dataset was used to develop and validate the Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED) and is provided as an example dataset to accompany Puglia, M.H., Slobin, J.S., & Williams, C.L., 2021. The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED): Development and validation for use in pediatric populations. bioRxiv. https://doi.org/10.1101/2021.07.10.450198.

APPLESEED code is available to download from https://github.com/mhpuglia/APPLESEED.

This dataset is part of a larger, ongoing longitudinal study initially described in Puglia, M.H., Krol, K.M., Missana, M., Williams, C.L., Lillard, T.S., Morris, J.P., Connelly, J.J. and Grossmann, T., 2020. Epigenetic tuning of brain signal entropy in emergent human social behavior. BMC medicine, 18(1), pp.1-24. https://doi.org/10.1186/s12916-020-01683-x.

Authors

  • Cabell L. Williams
  • Meghan H. Puglia

Dataset DOI

10.18112/openneuro.ds003710.v1.0.1

License

CC0

Acknowledgements

How to Acknowledge

Please cite: Puglia, M.H., Slobin, J.S., & Williams, C.L., 2021. The Automated Preprocessing Pipe-Line for the Estimation of Scale-wise Entropy from EEG Data (APPLESEED): Development and validation for use in pediatric populations. bioRxiv. https://doi.org/10.1101/2021.07.10.450198., and Puglia, M.H., Krol, K.M., Missana, M., Williams, C.L., Lillard, T.S., Morris, J.P., Connelly, J.J., & Grossmann, T. (2020). Epigenetic tuning of brain signal entropy in emergent human social behavior. BMC medicine, 18(1), 1-24. https://doi.org/10.1186/s12916-020-01683-x

Funding

References and Links

Ethics Approvals

How To Cite

Copy
Cabell L. Williams and Meghan H. Puglia (2021). APPLESEED Example Dataset. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003710.v1.0.1
More citation info

Dataset File Tree

Git Hash: 2653464 

BIDS Validation

Dataset File Tree

Git Hash: 2653464 

Comments

Please sign in to contribute to the discussion.