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NOMIS: Quantifying morphometric deviation from normality over the lifetime in the adult human brain

Potvin, O.; Dieumegarde, L.; Duchesne, S.; Alzheimer's Disease Neuroimaging Initiative and CIMA-Q,

2021-01-25 neuroscience
10.1101/2021.01.25.428063 bioRxiv
Show abstract

We present NOMIS (https://github.com/medicslab/NOMIS), a comprehensive open MRI tool to assess morphometric deviation from normality in the adult human brain. Based on MR anatomical images from 6,909 cognitively healthy individuals aged 18-100 years, we modeled 1,344 measures computed using the open access FreeSurfer pipeline, considering account personal characteristics (age, sex, intracranial volume) and image quality (resolution, contrast-to-noise ratio and surface reconstruction defect holes), and providing expected values for any new individual. Then, for each measure, the NOMIS tool was built to generate Z-score effect sizes denoting the extent of deviation from the normative sample. Depending on the user need, NOMIS offers four versions of Z-score adjusted on different sets of variables. While all versions consider head size and image quality, they can also incorporate age and/or sex, thereby facilitating multi-site neuromorphometric research across adulthood.

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