The availability of large-scale multi-site neuroimaging data present unprecedented opportunities for revealing the brain's macroscopic and microscopic organization across the lifespan. Existing neurodevelopmental studies lack consensus, owing to variable preprocessing methods that result in inconsistent brain features. Existing neuroimage processing tools typically cater to specific life periods, limiting their applicability to data covering the entire human lifespan. Here, we present robust automatic tools for accurate and consistent processing of neuroimaging data covering a century of life.
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Ahmad et al. (2024) studied this question.
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