Implementing ABCD studyⓇ MRI sequences for multi-site cohort studies: Practical guide to necessary steps,
Wajiha Bano1,2,3, Elmo Pulli1,2,3, Lucia Cantonas4
1FinnBrain Birth Cohort Study, Turku Brain and Mind Center, Department of Clinical Medicine, University of Turku, Turku, Finland.
Methodsx
|July 5, 2024
Summary
Standardizing magnetic resonance imaging (MRI) protocols across sites enhances neuroscience research reliability. Minor adjustments and containerized pipelines improve data consistency for multisite studies.
Area of Science:
- Neuroscience
- Medical Imaging
Background:
- Multisite magnetic resonance imaging (MRI) studies offer significant potential for advancing neuroscience.
- Scanner variability and non-standardized protocols can compromise the reliability and repeatability of MRI-derived brain measures.
Purpose of the Study:
- To implement and evaluate a standardized MRI protocol across multiple sites and scanners.
- To assess the impact of standardization on data quality and test-retest variability for multisite research.
Main Methods:
- A standardized MRI protocol, based on the Adolescent Brain Cognition Development (ABCD) study, was implemented across two sites and four MRI scanners (Siemens, Philips, GE).
- Data included anatomical scans (T1, T2 weighted), diffusion-weighted imaging (DWI), and resting-state functional MRI (rs-fMRI).
- Standardized, containerized pipelines were used for data preprocessing, with evaluation of image quality metrics and test-retest variability.
Main Results:
- Successful implementation of standardized MRI protocols was achieved with minor adjustments for scanner-specific technical variations (e.g., repetition time, b-values, DICOM export).
- Containerized preprocessing pipelines demonstrated benefits for managing multisite data.
- Evaluation of image quality metrics and test-retest variability provided insights into protocol performance across different scanners and sites.
Conclusions:
- Standardized MRI protocols and containerized data processing are crucial for enhancing the reliability of multisite neuroscience studies.
- Careful optimization of image acquisition parameters is necessary to mitigate scanner-induced variability.
- This work offers practical guidance for implementing robust multisite neuroimaging research.
Keywords:
FinnBrain ProtocolMRIMulti-centre studiesMulti-scannerMulti-vendorNeuroimagingReproducibility

