FreeSurfer subcortical normative data.
This article contains a spreadsheet computing estimates of the expected subcortical regional volumes of an individual based on its characteristics and the scanner characteristics, in addition to supplementary results related to the article "Normative data for subcortical regional volumes over the lifetime of the adult human brain" (O. Potvin, A. Mouiha, L. Dieumegarde, S. Duchesne, 2016) [1] on normative data for subcortical volumes. Data used to produce normative values was obtained by anatomical magnetic resonance imaging from 2790 healthy individuals aged 18-94 years using 23 samples provided by 21 independent research groups. The segmentation was conducted usingFreeSurfer. The spreadsheet includes formulas in order to compute for a new individual, significance test for volume abnormality, effect size and estimated percentage of the normative population with a smaller volume while taking into account age, sex, estimated intracranial volume (eTIV), and scanner characteristics. Detailed R-squares of each predictor for all formula are also reported as well as the difference of subcortical volumes segmented byFreeSurferon two different computer hardware setups.
Centre de recherche de l׳Institut universitaire en santé mentale de Québec, 2601, de la Canardière, Québec, Canada G1J 2G3.
Olivier
O
Potvin
Centre de recherche de l׳Institut universitaire en santé mentale de Québec, 2601, de la Canardière, Québec, Canada G1J 2G3.
Abderazzak
A
Mouiha
Centre de recherche de l׳Institut universitaire en santé mentale de Québec, 2601, de la Canardière, Québec, Canada G1J 2G3.
Louis
L
Dieumegarde
Centre de recherche de l׳Institut universitaire en santé mentale de Québec, 2601, de la Canardière, Québec, Canada G1J 2G3; Département de radiologie, Université Laval, 1050, avenue de la Médecine, Québec, Canada G1V 046.
Simon
S
Duchesne
Age; Magnetic resonance; Morphometry; Neuroimaging; Normal aging; Normality; Sex