PT  - JOURNAL ARTICLE
AU  - Potvin, Olivier
AU  - Dieumegarde, Louis
AU  - Duchesne, Simon
AU  - ,
AU  - ,
AU  - ,
TI  - NOMIS: Quantifying morphometric deviations from normality over the lifetime of the adult human brain
AID  - 10.1101/2021.01.25.428063
DP  - 2022 Jan 01
TA  - bioRxiv
PG  - 2021.01.25.428063
4099  - http://biorxiv.org/content/early/2022/02/23/2021.01.25.428063.short
4100  - http://biorxiv.org/content/early/2022/02/23/2021.01.25.428063.full
AB  - 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.Competing Interest StatementThe authors have declared no competing interest.