A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old

uploaded by Brain Development Lab on 2021-04-08 - about 1 month ago
last modified on 2021-04-26 - 17 days ago
authored by Jin Wang, Marisa N. Lytle, Yael Weiss, Brianna L. Yamasaki, James R. Booth
014537
We found 3 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-5003/ses-5/func/sub-5003_ses-5_task-Gram_acq-D1S5_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5003/ses-5/func/sub-5003_ses-5_task-Gram_acq-D1S7_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5003/ses-5/func/sub-5003_ses-5_task-Phon_acq-D1S13_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5003/ses-5/func/sub-5003_ses-5_task-Phon_acq-D1S9_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5008/ses-5/fmap/sub-5008_ses-5_acq-D2S15_phasediff.nii.gz

The most common set of dimensions is: 64,64,57 (voxels), This file has the dimensions: 62,64,57 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Gram_acq-D1S4_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Gram_acq-D1S6_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Phon_acq-D1S10_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Phon_acq-D1S12_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5008/ses-9/anat/sub-5008_ses-9_acq-D1S2_T1w.nii.gz

The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 1.00mm x 1.03mm x 1.03mm.

and 96 more files

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

/sub-5003/ses-7/fmap/sub-5003_ses-7_acq-D2S13_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5004/ses-7/fmap/sub-5004_ses-7_acq-D2S13_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5006/ses-5/fmap/sub-5006_ses-5_acq-D1S18_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5006/ses-5/fmap/sub-5006_ses-5_acq-D2S15_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5007/ses-7/fmap/sub-5007_ses-7_acq-D2S10_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5007/ses-9/fmap/sub-5007_ses-9_acq-D2S13_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5008/ses-5/fmap/sub-5008_ses-5_acq-D2S15_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5008/ses-7/fmap/sub-5008_ses-7_acq-D1S12_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5008/ses-9/fmap/sub-5008_ses-9_acq-D1S11_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5009/ses-5/fmap/sub-5009_ses-5_acq-D2S23_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

and 355 more files

OpenNeuro Accession Number: ds003604
Files: 16639, Size: 678.67GB, Subjects: 322, Sessions: 3
Available Tasks: Grammaticality Task, Sound Task, Plausability Task, Meaning Task
Available Modalities: T1w, bold, events, sbref, dwi, phasediff

README

Known Issues

  • BIDS validator warns that some stimuli files are not included in events.tsv. This is due to the extra 2 circle figures, which were used to keep participants' attention and remind them to respond timely.
  • BIDS validator warns that inconsistent subjects and missing sessions because not all subjects could attend all tasks and all sessions.
  • BIDS validator warns that we missed magnitude files. This is due to the fact that we did not collect magnitude images during the fieldmap scan. We only collected phasediff images.
  • BIDS validator warns that not all subjects/sessions/runs have the same scanning parameters. This is mainly due to the fact that we added 6 volumes to the end of the functional runs after a small subset of initial participants. There are a few t1 weighted images with varied resolution, but they were all within +-0.05mm. A few diffusion weighted images have 69 or 65 volumes in contrast to standard 70 volumes. These differences are likely due to occasional scanner updates at the scanning center.
  • We manually created json files for 29 functional runs and 4 anatomical runs because we converted them using spm8 but then the original DICOMs were lost. ./sub-5085/ses-5/anat/sub-5085ses-5acq-D1S1_T1w.json ./sub-5085/ses-5/anat/sub-5085ses-5acq-D1S3_T1w.json ./sub-5085/ses-5/anat/sub-5085ses-5acq-D1S2_T1w.json ./sub-5347/ses-5/anat/sub-5347ses-5acq-D1S1_T1w.json ./sub-5085/ses-5/func/sub-5085ses-5task-Phonacq-D1S4run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Phonacq-D1S5run-02_bold.json ./sub-5032/ses-7/func/sub-5032ses-7task-Phonacq-D2S5run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Phonacq-D1S4run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Phonacq-D1S3run-02_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Phonacq-D1S5run-02_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Phonacq-D1S6run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Semacq-D3S4run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Semacq-D3S3run-01_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Semacq-D3S4run-02_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Semacq-D3S3run-01_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Semacq-D3S7run-02_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Semacq-D1S6run-01_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Semacq-D1S5run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Gramacq-D1S7run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Gramacq-D1S6run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Gramacq-D3S5run-02_bold.json ./sub-5032/ses-7/func/sub-5032ses-7task-Gramacq-D2S4run-02_bold.json ./sub-5032/ses-7/func/sub-5032ses-7task-Gramacq-D2S3run-01_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Gramacq-D1S3run-02_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Gramacq-D1S4run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Gramacq-D1S6run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Gramacq-D1S5run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Plausacq-D2S3run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Plausacq-D2S4run-02_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Plausacq-D3S5run-01_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Plausacq-D3S6run-02_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Plausacq-D1S4run-01_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Plausacq-D1S3run-02_bold.json

  • The calculation of reaction time (rt) and accuracy (acc) for each condition within each run for each participant is documented in ./derivatives/funcmvaccrt/AccRT_Calculation.doc

Authors

  • Jin Wang
  • Marisa N. Lytle
  • Yael Weiss
  • Brianna L. Yamasaki
  • James R. Booth

Dataset DOI

10.18112/openneuro.ds003604.v1.0.2

License

CC0

Acknowledgements

This project was supported by R01-DC013274 and BCS-1358794 from the National Institute of Deafness and other Communication Disorders (NIDCD) and the National Science Foundation (NSF) awarded to James R. Booth. We thank Emily Algert, Hannah Cweigenberg, Stephanie Herrin, Alyssa Lucio, Madeleine Reisgerzog, Christine Saenz, Macarena Suarez-Pellicioni & Jessica W. Younger for their help with data collection. We thank Neelima Wagley, Abigail Snow, Lilah Givens, Tyjah Johnson, and Julia Pines for their help with data curation. We thank Chris Thompson for his help with developing a code for data uploading.

How to Acknowledge

Please cite: Wang J, Lytle M, Weiss Y, Yamasaki B & Booth JR. (2021) A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old. preprint at https://psyarxiv.com/tpndf

Funding

  • R01-DC013274 from National Institute of Deafness and other Communication Disorders (NIDCD)
  • BCS-1358794 from National Science Foundation

References and Links

Ethics Approvals

How To Cite

Copy
Jin Wang and Marisa N. Lytle and Yael Weiss and Brianna L. Yamasaki and James R. Booth (2021). A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003604.v1.0.2
More citation info

A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old

uploaded by Brain Development Lab on 2021-04-08 - about 1 month ago
last modified on 2021-04-26 - 17 days ago
authored by Jin Wang, Marisa N. Lytle, Yael Weiss, Brianna L. Yamasaki, James R. Booth
014537

OpenNeuro Accession Number: ds003604
Files: 16639, Size: 678.67GB, Subjects: 322, Sessions: 3
Available Tasks: Grammaticality Task, Sound Task, Plausability Task, Meaning Task
Available Modalities: T1w, bold, events, sbref, dwi, phasediff

README

Known Issues

  • BIDS validator warns that some stimuli files are not included in events.tsv. This is due to the extra 2 circle figures, which were used to keep participants' attention and remind them to respond timely.
  • BIDS validator warns that inconsistent subjects and missing sessions because not all subjects could attend all tasks and all sessions.
  • BIDS validator warns that we missed magnitude files. This is due to the fact that we did not collect magnitude images during the fieldmap scan. We only collected phasediff images.
  • BIDS validator warns that not all subjects/sessions/runs have the same scanning parameters. This is mainly due to the fact that we added 6 volumes to the end of the functional runs after a small subset of initial participants. There are a few t1 weighted images with varied resolution, but they were all within +-0.05mm. A few diffusion weighted images have 69 or 65 volumes in contrast to standard 70 volumes. These differences are likely due to occasional scanner updates at the scanning center.
  • We manually created json files for 29 functional runs and 4 anatomical runs because we converted them using spm8 but then the original DICOMs were lost. ./sub-5085/ses-5/anat/sub-5085ses-5acq-D1S1_T1w.json ./sub-5085/ses-5/anat/sub-5085ses-5acq-D1S3_T1w.json ./sub-5085/ses-5/anat/sub-5085ses-5acq-D1S2_T1w.json ./sub-5347/ses-5/anat/sub-5347ses-5acq-D1S1_T1w.json ./sub-5085/ses-5/func/sub-5085ses-5task-Phonacq-D1S4run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Phonacq-D1S5run-02_bold.json ./sub-5032/ses-7/func/sub-5032ses-7task-Phonacq-D2S5run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Phonacq-D1S4run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Phonacq-D1S3run-02_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Phonacq-D1S5run-02_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Phonacq-D1S6run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Semacq-D3S4run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Semacq-D3S3run-01_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Semacq-D3S4run-02_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Semacq-D3S3run-01_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Semacq-D3S7run-02_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Semacq-D1S6run-01_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Semacq-D1S5run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Gramacq-D1S7run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Gramacq-D1S6run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Gramacq-D3S5run-02_bold.json ./sub-5032/ses-7/func/sub-5032ses-7task-Gramacq-D2S4run-02_bold.json ./sub-5032/ses-7/func/sub-5032ses-7task-Gramacq-D2S3run-01_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Gramacq-D1S3run-02_bold.json ./sub-5211/ses-9/func/sub-5211ses-9task-Gramacq-D1S4run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Gramacq-D1S6run-01_bold.json ./sub-5365/ses-9/func/sub-5365ses-9task-Gramacq-D1S5run-02_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Plausacq-D2S3run-01_bold.json ./sub-5085/ses-5/func/sub-5085ses-5task-Plausacq-D2S4run-02_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Plausacq-D3S5run-01_bold.json ./sub-5061/ses-5/func/sub-5061ses-5task-Plausacq-D3S6run-02_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Plausacq-D1S4run-01_bold.json ./sub-5347/ses-5/func/sub-5347ses-5task-Plausacq-D1S3run-02_bold.json

  • The calculation of reaction time (rt) and accuracy (acc) for each condition within each run for each participant is documented in ./derivatives/funcmvaccrt/AccRT_Calculation.doc

Authors

  • Jin Wang
  • Marisa N. Lytle
  • Yael Weiss
  • Brianna L. Yamasaki
  • James R. Booth

Dataset DOI

10.18112/openneuro.ds003604.v1.0.2

License

CC0

Acknowledgements

This project was supported by R01-DC013274 and BCS-1358794 from the National Institute of Deafness and other Communication Disorders (NIDCD) and the National Science Foundation (NSF) awarded to James R. Booth. We thank Emily Algert, Hannah Cweigenberg, Stephanie Herrin, Alyssa Lucio, Madeleine Reisgerzog, Christine Saenz, Macarena Suarez-Pellicioni & Jessica W. Younger for their help with data collection. We thank Neelima Wagley, Abigail Snow, Lilah Givens, Tyjah Johnson, and Julia Pines for their help with data curation. We thank Chris Thompson for his help with developing a code for data uploading.

How to Acknowledge

Please cite: Wang J, Lytle M, Weiss Y, Yamasaki B & Booth JR. (2021) A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old. preprint at https://psyarxiv.com/tpndf

Funding

  • R01-DC013274 from National Institute of Deafness and other Communication Disorders (NIDCD)
  • BCS-1358794 from National Science Foundation

References and Links

Ethics Approvals

How To Cite

Copy
Jin Wang and Marisa N. Lytle and Yael Weiss and Brianna L. Yamasaki and James R. Booth (2021). A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old. OpenNeuro. [Dataset] doi: 10.18112/openneuro.ds003604.v1.0.2
More citation info

Dataset File Tree

Git Hash: 0aaf6a4 

BIDS Validation

We found 3 Warnings in your dataset. You are not required to fix warnings, but doing so will make your dataset more BIDS compliant.

/sub-5003/ses-5/func/sub-5003_ses-5_task-Gram_acq-D1S5_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5003/ses-5/func/sub-5003_ses-5_task-Gram_acq-D1S7_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5003/ses-5/func/sub-5003_ses-5_task-Phon_acq-D1S13_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5003/ses-5/func/sub-5003_ses-5_task-Phon_acq-D1S9_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5008/ses-5/fmap/sub-5008_ses-5_acq-D2S15_phasediff.nii.gz

The most common set of dimensions is: 64,64,57 (voxels), This file has the dimensions: 62,64,57 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Gram_acq-D1S4_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Gram_acq-D1S6_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,218 (voxels), This file has the dimensions: 128,128,56,212 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Phon_acq-D1S10_run-01_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5008/ses-5/func/sub-5008_ses-5_task-Phon_acq-D1S12_run-02_bold.nii.gz

The most common set of dimensions is: 128,128,56,158 (voxels), This file has the dimensions: 128,128,56,152 (voxels).

/sub-5008/ses-9/anat/sub-5008_ses-9_acq-D1S2_T1w.nii.gz

The most common resolution is: 1.00mm x 1.00mm x 1.00mm, This file has the resolution: 1.00mm x 1.03mm x 1.03mm.

and 96 more files

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

There are files in the /stimuli directory that are not utilized in any _events.tsv file.

/sub-5003/ses-7/fmap/sub-5003_ses-7_acq-D2S13_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5004/ses-7/fmap/sub-5004_ses-7_acq-D2S13_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5006/ses-5/fmap/sub-5006_ses-5_acq-D1S18_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5006/ses-5/fmap/sub-5006_ses-5_acq-D2S15_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5007/ses-7/fmap/sub-5007_ses-7_acq-D2S10_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5007/ses-9/fmap/sub-5007_ses-9_acq-D2S13_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5008/ses-5/fmap/sub-5008_ses-5_acq-D2S15_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5008/ses-7/fmap/sub-5008_ses-7_acq-D1S12_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5008/ses-9/fmap/sub-5008_ses-9_acq-D1S11_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

/sub-5009/ses-5/fmap/sub-5009_ses-5_acq-D2S23_phasediff.nii.gz

Each _phasediff.nii[.gz] file should be associated with a _magnitude1.nii[.gz] file.

and 355 more files

Dataset File Tree

Git Hash: 0aaf6a4 

Comments

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By braindevelopmentlaboratory@gmail.com - 17 days ago
complete version