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

This dataset has been published! You can make changes to this Draft page, then create a new version to make them public.

OpenNeuro Accession Number: ds003604Files: 16639Size: 714.28GB

BIDS Validation

3 Warnings Valid

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

view 3 warnings in 481 files

Warning: 1106 files

Not all subjects/sessions/runs have the same scanning parameters.

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Warning: 210 files

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

Reason:

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

Reason:

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

Reason:

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

Reason:

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

Reason:

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

Reason:

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

Reason:

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

Reason:

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

Reason:

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

Reason:

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

Warning: 3365 files

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

Location:

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

Reason:

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

and 355 more files

FilesDownloadMetadata

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

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

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-5085_ses-5_acq-D1S1_T1w.json ./sub-5085/ses-5/anat/sub-5085_ses-5_acq-D1S3_T1w.json ./sub-5085/ses-5/anat/sub-5085_ses-5_acq-D1S2_T1w.json ./sub-5347/ses-5/anat/sub-5347_ses-5_acq-D1S1_T1w.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Phon_acq-D1S4_run-01_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Phon_acq-D1S5_run-02_bold.json ./sub-5032/ses-7/func/sub-5032_ses-7_task-Phon_acq-D2S5_run-01_bold.json ./sub-5365/ses-9/func/sub-5365_ses-9_task-Phon_acq-D1S4_run-01_bold.json ./sub-5365/ses-9/func/sub-5365_ses-9_task-Phon_acq-D1S3_run-02_bold.json ./sub-5211/ses-9/func/sub-5211_ses-9_task-Phon_acq-D1S5_run-02_bold.json ./sub-5211/ses-9/func/sub-5211_ses-9_task-Phon_acq-D1S6_run-01_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Sem_acq-D3S4_run-02_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Sem_acq-D3S3_run-01_bold.json ./sub-5061/ses-5/func/sub-5061_ses-5_task-Sem_acq-D3S4_run-02_bold.json ./sub-5061/ses-5/func/sub-5061_ses-5_task-Sem_acq-D3S3_run-01_bold.json ./sub-5061/ses-5/func/sub-5061_ses-5_task-Sem_acq-D3S7_run-02_bold.json ./sub-5347/ses-5/func/sub-5347_ses-5_task-Sem_acq-D1S6_run-01_bold.json ./sub-5347/ses-5/func/sub-5347_ses-5_task-Sem_acq-D1S5_run-02_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Gram_acq-D1S7_run-02_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Gram_acq-D1S6_run-01_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Gram_acq-D3S5_run-02_bold.json ./sub-5032/ses-7/func/sub-5032_ses-7_task-Gram_acq-D2S4_run-02_bold.json ./sub-5032/ses-7/func/sub-5032_ses-7_task-Gram_acq-D2S3_run-01_bold.json ./sub-5211/ses-9/func/sub-5211_ses-9_task-Gram_acq-D1S3_run-02_bold.json ./sub-5211/ses-9/func/sub-5211_ses-9_task-Gram_acq-D1S4_run-01_bold.json ./sub-5365/ses-9/func/sub-5365_ses-9_task-Gram_acq-D1S6_run-01_bold.json ./sub-5365/ses-9/func/sub-5365_ses-9_task-Gram_acq-D1S5_run-02_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Plaus_acq-D2S3_run-01_bold.json ./sub-5085/ses-5/func/sub-5085_ses-5_task-Plaus_acq-D2S4_run-02_bold.json ./sub-5061/ses-5/func/sub-5061_ses-5_task-Plaus_acq-D3S5_run-01_bold.json ./sub-5061/ses-5/func/sub-5061_ses-5_task-Plaus_acq-D3S6_run-02_bold.json ./sub-5347/ses-5/func/sub-5347_ses-5_task-Plaus_acq-D1S4_run-01_bold.json ./sub-5347/ses-5/func/sub-5347_ses-5_task-Plaus_acq-D1S3_run-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/func_mv_acc_rt/Acc_RT_Calculation.doc

Comments

Please sign in to contribute to the discussion.

By braindevelopmentlaboratory@gmail.com - about 1 year ago

complete version

By smeisler@g.harvard.edu - 10 months ago

Hi,

May I ask why some subjects have multiple DWI scans? Based on looking at the gradient tables and QA metrics, it doesn't seem like it's necessarily the case that one acquisition is incomplete or poor quality, which are usually reasons to repeat a scan. 

Thanks,
Steven

By braindevelopmentlaboratory@gmail.com - 9 months ago

Hi, Steven, 

Thank you for your question. It was because we sometimes forgot that we had already collected DTI during the previous session and DTI data were usually collected when we had extra scanning time. Hope it helps. 

Best,
Jin

By rbelisle4@g.ucla.edu - 4 months ago

Hi, 

For handedness, does the number on participants.tsv reflect the number of actions out of the total 5 actions that were performed with the right hand? 

Thank you,
Becky

By wangjin@utexas.edu - 4 months ago

Yes. That's correct Becky. 

Best,
Jin

Authors

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

Available Modalities

Versions

Draft

Updated: 2022-01-20

Tasks

Grammaticality Task, Sound Task, Plausability Task, Meaning Task

Uploaded by

Brain Development Lab on 2021-04-08 - about 1 year ago

Last Updated

2022-01-20 - 5 months ago

Sessions

3

Participants

322

Dataset DOI

doi:10.18112/openneuro.ds003604.v1.0.6

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 Jessica Church Lang, 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.N., Weiss, Y. et al. A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old. Sci Data 9, 4 (2022). https://doi.org/10.1038/s41597-021-01106-3

Funding

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

References and Links

Wang, J., Rice, M.L., Booth, J.R. (2020). Syntactic and semantic specialization and integration in 5- to 6-year-old children during auditory sentence processing. Journal of Cognitive Neuroscience, 32(1),36-49. https://www.mitpressjournals.org/doi/full/10.1162/jocn_a_01477
Wang, J., Joanisse, M.F., Booth, J.R. (2020). Neural representations of phonology in temporal cortex scaffold longitudinal reading gains in 5- to 7-year-old children. NeuroImage, 207, 116359. https://www.sciencedirect.com/science/article/pii/S1053811919309504
Younger, J.W., Lee, K.W., Demir-Lira, O.E., & Booth, J.R. (2019). Brain lateralization of phonological awareness varies by maternal education. Developmental Science, 22(6), e12807. https://onlinelibrary.wiley.com/doi/full/10.1111/desc.12807
Wang J., Joanisse M.F., Booth J.R. (2018). Reading skill related to left ventral occipitotemporal cortex during a phonological awareness task in 5-6-year old children. Developmental Cognitive Neuroscience, 30, 116-122. https://www.sciencedirect.com/science/article/pii/S1878929317301494
Weiss, Y., Cweigenberg, H.G., Booth, J.R. (2018). Neural specialization of phonological and semantic processing in young children. Human Brain Mapping, 39(11), 4334-4348. https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.24274
Wang, J., Wagley, N., Rice, M. L., & Booth, J. R. (2021). Semantic and syntactic specialization during auditory sentence processing in 7-8-year-old children. Cortex, 145, 169-186. https://www.sciencedirect.com/science/article/pii/S0010945221003075
Wagley, N., & Booth, J. R. (2021). Neuro-cognitive development of semantic and syntactic bootstrapping in 6-to 7.5-year-old children. NeuroImage, 241, 118416. https://www.sciencedirect.com/science/article/pii/S1053811921006911
Wang, J., Pines, J., Joanisse, M., & Booth, J. R. (2021). Reciprocal relations between reading skill and the neural basis of phonological awareness in 7-to 9-year-old children. NeuroImage, 236, 118083. https://www.sciencedirect.com/science/article/pii/S1053811921003608
Wang, J., Yamasaki, B. L., Weiss, Y., & Booth, J. R. (2021). Both frontal and temporal cortex exhibit phonological and semantic specialization during spoken language processing in 7‐to 8‐year‐old children. Human Brain Mapping, 42(11), 3534-3546. https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.25450
Yamasaki BL, McGregor K & Booth JR (2021). Early phonological neural specialization predicts later growth in word reading skills. Frontiers in Human Neuroscience, 15, 674119. https://www.frontiersin.org/articles/10.3389/fnhum.2021.674119/full
Wang, J., Joanisse, M., Booth, J.R.(2021). Letter fluency in 7-8-year-old children is related to the anterior, but not posterior, ventral occipito-temporal cortex during an auditory phonological task. Developmental Cognitive Neuroscience, 47, 100898. https://www.sciencedirect.com/science/article/pii/S187892932030147X

Ethics Approvals

N/A