What question did this study set out to answer?

To establish and validate a robust harmonization framework for pooling large-scale structural brain MRI datasets across diverse acquisition protocols and characterize anatomical trajectories across the lifespan.

December 9, 2019SHILAP Revista de lepidopterologíaOpen Access

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

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Authors

RPRaymond PomponioUniversity of Pittsburgh GEGüray ErusUniversity of Pennsylvania MHMohamad HabesAlzheimer's Society

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Implication

Multi-cohort study demonstrates robust MRI harmonization in individuals aged 3 to 96 years, highlighting normative reference charts to detect disease-related brain structural deviations.

Key Points

To establish and validate a robust harmonization framework for pooling large-scale structural brain MRI datasets across diverse acquisition protocols and characterize anatomical trajectories across the lifespan.
Aggregated and harmonized N=10,477 structural brain MRI scans from participants aged 3 to 96 years without known neurological or psychiatric disorders across 18 geographically diverse studies.
Applied multi-atlas-based image processing algorithms to generate hierarchical anatomical segmentations spanning major regions to discrete cortical and deep brain structures.
Developed a statistical harmonization model capable of eliminating site-specific batch effects while preserving nonlinear age-associated structural trajectories.
Generated continuous normative lifespan trajectories spanning ages 3 to 96 years for global, cortical, and subcortical brain volumes.
Successfully validated the removal of multi-site technical variance without dampening true biological nonlinear age trends across cohorts.
Established a web-based visualization interface allowing external brain MRI datasets to be benchmarked against normative aging and developmental distributions.

Cite This Study

Pomponio et al. (2019) studied this question.

synapsesocial.com/papers/69d7ed9f05ee2ba81dbee950 https://doi.org/10.1016/j.neuroimage.2019.116450

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Implication

Multi-cohort study demonstrates robust MRI harmonization in individuals aged 3 to 96 years, highlighting normative reference charts to detect disease-related brain structural deviations.

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Discussion

Member takes

Implication

Key Points

Cite This Study

Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan

Discussion

Member takes

Implication

Key Points

Cite This Study

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