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Minqi Hu,Yunxia Lou,Caiting Zhu et al. Minqi Hu et al.
Background: In neuroscience, accurately quantifying individual brain regions in large cohorts is a challenge. Differences in intracranial structures can suggest functional differences, but they also reflect the effects of...
Elvisha Dhamala,Leon Qi Rong Ooi,Jianzhong Chen et al. Elvisha Dhamala et al.
Individual differences in brain anatomy can be used to predict variations in cognitive ability. Most studies to date have focused on broad population-level trends, but the extent to which the observed predictive features are shared across s...
Carla Sanchis-Segura,Maria Victoria Ibañez-Gual,Naiara Aguirre et al. Carla Sanchis-Segura et al.
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
Carla Sanchis-Segura,Maria Victoria Ibañez-Gual,Naiara Aguirre et al. Carla Sanchis-Segura et al.
Sex differences in 116 local gray matter volumes (GMVOL) 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 proportion...
Carl W S Pintzka,Tor I Hansen,Hallvard R Evensmoen et al. Carl W S Pintzka et al.
To date, there is no consensus whether sexual dimorphism in the size of neuroanatomical structures exists, or if such differences are caused by choice of intracranial volume (ICV) correction method. When investigating volume differences in ...
Dawei Liu,Hans J Johnson,Jeffrey D Long et al. Dawei Liu et al.
In volumetric brain imaging analysis, volumes of brain structures are typically assumed to be proportional or linearly related to intracranial volume (ICV). However, evidence abounds that many brain structures have power law relationships w...