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Dataset of brain functional connectome and its maturation in adolescents

Authors :
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
Source :
Data in Brief, Vol 43, Iss , Pp 108454- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

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

Language :
English
ISSN :
23523409
Volume :
43
Issue :
108454-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.4770d8ee6e2b4ecb839328a9a53671d3
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2022.108454