Effects of different intracranial volume correction methods on univariate sex differences in grey matter volume and multivariate sex prediction.

ABSTRACT: Sex differences in 116 local gray matter volumes (GM_VOL) were assessed in 444 males and 444 females without correcting for total intracranial volume (TIV) or after adjusting the data with the scaling, proportions, power-corrected proportions (PCP), and residuals methods. The results confirmed that only the residuals and PCP methods completely eliminate TIV-variation and result in sex-differences that are "small" (∣d∣ < 0.3). Moreover, as assessed using a totally independent sample, sex differences in PCP and residuals adjusted-data showed higher replicability ([Formula: see text] 93%) than scaling and proportions adjusted-data [Formula: see text] 68%) or raw data ([Formula: see text] 45%). The replicated effects were meta-analyzed together and confirmed that, when TIV-variation

SUBMITTER: Sanchis-Segura C 

PROVIDER: S-EPMC7395772 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature