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Calgary Preschool magnetic resonance imaging (MRI) dataset
Jess E Reynolds1,2,3,4,5, Xiangyu Long1,2,3, Dmitrii Paniukov1,2,3,4,5,6
1Department of Radiology, University of Calgary, 2500 University Drive NW, Calgary, T2N 1N4, AB, Canada.
Insights
This dataset offers magnetic resonance imaging (MRI) data for studying early childhood brain development. It aims to characterize typical and atypical brain development, linking it to cognitive and behavioral outcomes in children aged 2-8 years.
Area of Science:
- Neuroimaging
- Developmental Neuroscience
- Pediatric Research
Background:
- The Calgary Preschool MRI Dataset was established to investigate brain development in early childhood.
- Understanding typical brain development is crucial for identifying atypical patterns in children with various conditions.
Purpose of the Study:
- To characterize brain structure and function in children aged 2-8 years.
- To explore the links between brain development and cognitive/behavioral outcomes.
- To establish a baseline for identifying atypical development in pediatric populations.
Main Methods:
- Utilized magnetic resonance imaging (MRI) on a General Electric 3T MR750w system with a 32-channel head coil.
- Acquired T1-weighted, arterial spin labeling (ASL), diffusion tensor imaging (DTI), and resting-state functional MRI (fMRI) data.
- Collected data from 126 children (1.95-6.22 years old) with longitudinal follow-up (1-20 scans per child).
Main Results:
- The dataset contains 431 MRI scans from 126 children, with varying scan modalities available per participant.
- Provides comprehensive imaging data for a pediatric cohort, enabling detailed analysis of brain development trajectories.
- Includes diverse MRI sequences essential for assessing brain structure, function, and connectivity.
Conclusions:
- The Calgary Preschool MRI Dataset is a valuable resource for developmental neuroimaging research.
- Facilitates the study of typical and atypical brain development in early childhood.
- Supports research into the relationship between neurobiology and cognitive/behavioral development in children.
Abstract:
The Calgary Preschool MRI Dataset in the Developmental Neuroimaging Lab at the University of Calgary uses magnetic resonance imaging (MRI) techniques to study brain structure and function in early childhood [1-3]. The dataset aims to characterise brain development in early childhood (2-8 years), and to understand links to cognitive and behavioral development, as well as provide a baseline from which to identify atypical development in children with diseases, disorders, or brain injuries. MRI data are provided for 126 children (61 males, 65 females). Children ranged from 1.95 to 6.22 years (mean = 3.98 ± 1.06 years) at the time of their first scan and were initially scanned at six month intervals, and now continue to be followed annually (1-20 scans per child, 431 total datasets; datasets do not always have all scan modalities available). All MRI scans were acquired on the same General Electric 3T MR750w system and 32-channel head coil (GE, Waukesha, WI) at the Alberta Children's Hospital in Calgary, Canada. The MRI protocols provided in this dataset include: T1-weighted images acquired using a FSPGR BRAVO sequence; arterial spin labeling (ASL) images acquired with the vendor supplied pseudo continuous 3D ASL sequence; diffusion tensor imaging data acquired using single shot spin echo echo-planar imaging; and passive viewing resting state functional MRI data acquired with a gradient-echo echo-planar imaging sequence.
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