Longitudinal Early Brain Development and Language
Longitudinal-Trajectories-Early-Brain-Development-Language (New England cohort)
Brain MRI of children scanned repeatedly from infancy to school age, collected to relate early brain growth to later literacy and language skills, with half the children having a family history of dyslexia. T1-weighted and diffusion MRI from 80 children over 234 sessions, in BIDS.
Overview
This OpenNeuro release holds the New England cohort of a study by Turesky, Escalante, Loh and Gaab at Harvard that traced how the brain grows from infancy to early school age and whether those growth curves relate to later reading skills. Children were enrolled as infants in an NIH-funded longitudinal project on brain and literacy development and were scanned again at up to four later stages. The PNAS paper analysed this cohort together with the separately hosted Calgary Preschool MRI dataset.
Composition
The release contains 80 children (41 female, 39 male by the participants file) and 234 MRI sessions. Every child has T1-weighted and diffusion images from at least two time points that passed the study's quality control; images from further time points of the same children are included whether or not they passed. Sessions are numbered by developmental stage: infant, toddler, pre-reading, beginning reading and emergent reading. Ages at scan range from about 2.5 months to just over 10 years. The paper reports that 40 of the 80 children have a first-degree relative with a history of reading difficulty. The participants file also carries maternal education, a home literacy score, literacy and cognitive test scores (Woodcock-Johnson IV, Woodcock Reading Mastery Tests III, KBIT-2) and quality ratings of the FreeSurfer segmentations and diffusion tracts.
Acquisition
All scans come from a 3 T Siemens scanner with a 32-channel head coil, at Boston Children's Hospital before 2021 and at the Harvard Center for Brain Science afterwards. Structural images are 1 mm MPRAGE. Diffusion scans have 2 mm isotropic voxels, 30 directions at b = 1000 s/mm² and 10 to 11 b = 0 volumes, with simultaneous multi-slice factor 2. A reverse phase-encoded volume is shared as a field map for 178 sessions. Parameters were adapted to head size across ages. T1-weighted images were defaced with mri_deface, or with mideface where that tool failed.
Known limitations
Only children with at least two usable time points were released, so the sample is selected on scan quality and retention. There is no functional MRI and no T2-weighted image. The family history column in the participants file codes 33 children as positive, which differs from the 40 reported in the paper. One session has no row in the participants file. Race data are given only as percentages in the preprint supplement.
Cohort
Aggregate numbers from the sources below. Bars are relative to the 80 subjects.
Sex
- Female 41 51%
- Male 39 49%
Contrast / sequence
Groups can overlap
- T1-weighted 80 100%
- Diffusion-weighted 80 100%
anat/*_T1w.nii.gz, dwi/*_dwi.nii.gz in File listing of OpenNeuro ds006169 snapshot 1.0.9 (CC0), subjects and sessions counted per NIfTI file type
Field strength
- 3 T 80 100%
Supplementary Methods 3 in Turesky et al., bioRxiv preprint v3 (2025-04-06) of the same study, including the Supplementary Methods on the New England cohort and its MRI acquisition
Age
Studiesmean 1, median 0.8, range 0.2 to 10.4
Scanner vendor
- Siemens Healthineers 80 100%
Supplementary Methods 3 in Turesky et al., bioRxiv preprint v3 (2025-04-06) of the same study, including the Supplementary Methods on the New England cohort and its MRI acquisition
Country
- United States 80 100%
Supplementary Methods 1 in Turesky et al., bioRxiv preprint v3 (2025-04-06) of the same study, including the Supplementary Methods on the New England cohort and its MRI acquisition
Contrast combinations
How many subjects have exactly each set of contrasts.
| T1w | dwi | Subjects with exactly this set |
|---|---|---|
80 |
License and access
Our reading of the license, not legal advice. Before you use the data, read the original license and confirm that your use is allowed. We take no responsibility for how you use a dataset. Full disclaimer
Download without an account
Creative Commons Zero 1.0 Universal
Public domain dedication. Do anything with the data, including commercial use, without asking and without having to give credit.
dataset_description.json of the OpenNeuro release states the license as "CC0".
What you can do
- Yes
- Yes
- Yes
- Yes
- Yes
What you can share
- Yes
- Yes
- Yes
What you must do
- No
- Share alike No
- No
- No
- Manuscript review No
- Release code No
- Return results No
- Delete after use No
Limits
- No
- Location limits No
Citation
Turesky TK, Escalante ES, Loh M, Gaab N. Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development. Proc Natl Acad Sci USA 122(24), e2414598122 (2025). doi:10.1073/pnas.2414598122
Sources
Every number on this page comes from one of these documents. Each chart names the table or page it is taken from. The raw numbers are in stats.csv.
- Turesky et al. 2025, Longitudinal trajectories of brain development from infancy to school age and their relationship with literacy development, PNAS (PMC full text) paper
- Turesky et al., bioRxiv preprint v3 (2025-04-06) of the same study, including the Supplementary Methods on the New England cohort and its MRI acquisition paper
- OpenNeuro ds006169 snapshot 1.0.9 (README, dataset_description.json, CHANGES, snapshot summary) website
- participants.tsv of OpenNeuro ds006169 (CC0), one row per session with age in months and sex coded 0 = male, 1 = female computed
- File listing of OpenNeuro ds006169 snapshot 1.0.9 (CC0), subjects and sessions counted per NIfTI file type computed