Data · dataset · 2022
Brainnetome brain atlas for preadolescent children
Listed in ScienceDB
The dataset used in this work was from a longitudinal multisite project, the adolescent brain cognitive development (ABCD) study.
Description
Brain partitioning was performed using data from 60 participants (30 males) who are physically healthy, right-handed, and with good-quality scanned images. The ABCD baseline group data are used for partitioning and the follow-up group data are used for validation and comparison.
The partitioning process is described in the article ATPP: Automatic Tractography-based Parcellation Pipeline article.With 188 cortical and 36 subcortical subregions, this release is a more accurate and validated brain atlas for late childhood/pre-adolescence studies. The atlas includes a voxel version and a surface version. Among them, the volume atlas (CHILD_ATLAS_224.nii.gz, containing cortical regions and subcortical regions) has a spatial resolution of 2mm, while the surface version (child_164k_L.label.gii and child_164k_R.label.gii， only containing cortical regions) has a spatial resolution of 164k.
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In addition, we also provided a T1w structure item template for alignment reference. Users can upsample/downsample as needed to get the proper version of the atlas for their data.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.o00125.00006 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Image 65% · Longitudinal study 65%
Provenance · 1 source records, 12 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.o00125.00006 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:longitudinal-study | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |