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Published VersionCC BY-NC-ND V4.0, Open Access
Journal article
Dataset of brain functional connectome and its maturation in adolescents
Data in Brief, Vol.43, pp.1-9
2022
Appears in Thompson Institute Research Collection
Abstract
We provided the dataset of brain connectome matrices, their similarities measures to self and others longitudinally, and Kessler's psychological distress scales (K10) including the response to each question. The dataset can be used to replicate the results of the manuscript titled “A longitudinal study of functional connectome uniqueness and its association with psychological distress in adolescence”. The functional connectome (whole-brain and 13 networks) matrices were calculated from the resting-state functional MRIs (rs-fMRIs). We collected rs-fMRI and Kessler's psychological distress scale (K10) in 77 adolescents longitudinally up to 9 times from 12 years of age every four months. After removal of data with excessive motion, 262 functional connectome matrices were provided with this paper. The 300 regions of interest (ROIs) were defined using the Greene lab brain atlas. The functional connectome matrices were calculated as correlations between time series from any pair of ROIs extracted from pre-processed fMRIs. This dataset could be potentially used to:
1. Understand developmental changes in the functional brain connectivity,
2. As a normal control database of functional connectome matrices,
3. Develop and validate connectome and network-related analysing methods.
Details
- Title
- Dataset of brain functional connectome and its maturation in adolescents
- Authors
- Zack Shan (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteAbdalla Z Mohamed (Author) - University of the Sunshine Coast, Queensland, Thompson InstitutePaul Schwenn (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteLarisa McLoughlin (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteAmanda Boyes (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteDashiell Sacks (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteChristina Driver (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteVince D Calhoun (Author) - Georgia State UniversityJim Lagopoulos (Author) - University of the Sunshine Coast, Queensland, Thompson InstituteDaniel Hermens (Author) - University of the Sunshine Coast, Queensland, Thompson Institute
- Publication details
- Data in Brief, Vol.43, pp.1-9
- Publisher
- Elsevier BV
- Date published
- 2022
- DOI
- 10.1016/j.dib.2022.108454
- ISSN
- 2352-3409
- Copyright note
- Copyright (c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
- Organisation Unit
- Graduate Research School; University of the Sunshine Coast, Queensland; Thompson Institute
- Language
- English
- Record Identifier
- 99655798502621
- Output Type
- Journal article
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