title: A connectivity-based test-retest dataset of multi-modal magnetic resonance imaging in young healthy adults.
abstract: Recently, magnetic resonance imaging (MRI) has been widely used to investigate the structures and functions of the human brain in health and disease in vivo. However, there are growing concerns about the test-retest reliability of structural and functional measurements derived from MRI data. Here, we present a test-retest dataset of multi-modal MRI including structural MRI (S-MRI), diffusion MRI (D-MRI) and resting-state functional MRI (R-fMRI). Fifty-seven healthy young adults (age range: 19-30 years) were recruited and completed two multi-modal MRI scan sessions at an interval of approximately 6 weeks. Each scan session included R-fMRI, S-MRI and D-MRI data. Additionally, there were two separated R-fMRI scans at the beginning and at the end of the first session (approximately 20 min apart). This multi-modal MRI dataset not only provides excellent opportunities to investigate the short- and long-term test-retest reliability of the brain's structural and functional measurements at the regional, connectional and network levels, but also allows probing the test-retest reliability of structural-functional couplings in the human brain.
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Qixiang
authors.initials: Q
authors.lastname: Lin
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Zhengjia
authors.initials: Z
authors.lastname: Dai
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Mingrui
authors.initials: M
authors.lastname: Xia
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Zaizhu
authors.initials: Z
authors.lastname: Han
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Ruiwang
authors.initials: R
authors.lastname: Huang
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Gaolang
authors.initials: G
authors.lastname: Gong
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Chao
authors.initials: C
authors.lastname: Liu
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Yanchao
authors.initials: Y
authors.lastname: Bi
authors.affiliation: State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University , Beijing 100875, China.
authors.forename: Yong
authors.initials: Y
authors.lastname: He
mesh_terms: D000328:Adult; D019412:Anatomy, Cross-Sectional; D001921:Brain / Q000033:anatomy & histology / Q000502:physiology; D001931:Brain Mapping; D006801:Humans; D008279:Magnetic Resonance Imaging; D055815:Young Adult
keywords: Bioinformatics; Brain imaging; Functional magnetic resonance imaging; Magnetic resonance imaging