Dataset of brain functional connectome and its maturation in adolescents
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 longitudin...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-08-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340922006503 |
| _version_ | 1828154527182749696 |
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| author | Zack Y. Shan Abdalla Z. Mohamed Paul Schwenn Larisa T. McLoughlin Amanda Boyes Dashiell D. Sacks Christina Driver Vince D. Calhoun Jim Lagopoulos Daniel F. Hermens |
| author_facet | Zack Y. Shan Abdalla Z. Mohamed Paul Schwenn Larisa T. McLoughlin Amanda Boyes Dashiell D. Sacks Christina Driver Vince D. Calhoun Jim Lagopoulos Daniel F. Hermens |
| author_sort | Zack Y. Shan |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T22:41:21Z |
| format | Article |
| id | doaj.art-4770d8ee6e2b4ecb839328a9a53671d3 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-04-11T22:41:21Z |
| publishDate | 2022-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-4770d8ee6e2b4ecb839328a9a53671d32022-12-22T03:58:58ZengElsevierData in Brief2352-34092022-08-0143108454Dataset of brain functional connectome and its maturation in adolescentsZack Y. Shan0Abdalla Z. Mohamed1Paul Schwenn2Larisa T. McLoughlin3Amanda Boyes4Dashiell D. Sacks5Christina Driver6Vince D. Calhoun7Jim Lagopoulos8Daniel F. Hermens9Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, Australia; Corresponding author.Thompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaThompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaThompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaThompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaThompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaThompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaTri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State University, Georgia Institute of Technology, Emory University, Atlanta, GA, USAThompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaThompson Institute, University of the Sunshine Coast, Birtinya, QLD, AustraliaWe 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.http://www.sciencedirect.com/science/article/pii/S2352340922006503fMRIFunctional connectivityAdolescentBrain developmental changesLongitudinal study |
| spellingShingle | Zack Y. Shan Abdalla Z. Mohamed Paul Schwenn Larisa T. McLoughlin Amanda Boyes Dashiell D. Sacks Christina Driver Vince D. Calhoun Jim Lagopoulos Daniel F. Hermens Dataset of brain functional connectome and its maturation in adolescents Data in Brief fMRI Functional connectivity Adolescent Brain developmental changes Longitudinal study |
| title | Dataset of brain functional connectome and its maturation in adolescents |
| title_full | Dataset of brain functional connectome and its maturation in adolescents |
| title_fullStr | Dataset of brain functional connectome and its maturation in adolescents |
| title_full_unstemmed | Dataset of brain functional connectome and its maturation in adolescents |
| title_short | Dataset of brain functional connectome and its maturation in adolescents |
| title_sort | dataset of brain functional connectome and its maturation in adolescents |
| topic | fMRI Functional connectivity Adolescent Brain developmental changes Longitudinal study |
| url | http://www.sciencedirect.com/science/article/pii/S2352340922006503 |
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