2014
DOI: 10.1016/j.neulet.2014.04.013
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Are there any gender differences in the hippocampus volume after head-size correction? A volumetric and voxel-based morphometric study

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Cited by 80 publications
(46 citation statements)
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“…The present results suggest the contribution of specific cytoarchitectonically identified areas, namely s24 and s32, to these regional gender differences, and may shed light on the neurobiologic substrates of behavioral gender differences in healthy volunteers. Since male brains are larger than female brains, it is important to control the gender difference for the effect of absolute brain size (Luders et al, 2014; Perlaki et al, 2014). In the present study, s32 and s24 were larger in the brains of males than in those of females even after correction for absolute brain size.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…The present results suggest the contribution of specific cytoarchitectonically identified areas, namely s24 and s32, to these regional gender differences, and may shed light on the neurobiologic substrates of behavioral gender differences in healthy volunteers. Since male brains are larger than female brains, it is important to control the gender difference for the effect of absolute brain size (Luders et al, 2014; Perlaki et al, 2014). In the present study, s32 and s24 were larger in the brains of males than in those of females even after correction for absolute brain size.…”
Section: Discussionmentioning
confidence: 99%
“…Prior to this analysis, all areal volumes were expressed as a fraction of total brain volume for each brain in order to adjust for differences in total brain size, i.e. we searched for true gender differences (Luders et al, 2014; Perlaki et al, 2014). …”
Section: Methodsmentioning
confidence: 99%
“…Multiple linear regression models were created for each structure as a dependent variable with all three subscales of PIUQ separately as an independent variable. Head correction was done using the statistical method: intracranial volume (ICV) was entered as additional independent variable (Perlaki et al 2014). To test whether problematic Internet use is associated with volumetric alterations in the reward system, multiple linear regression models were created for all three PIUQ subscales with each investigated region with the control of age and intracranial volume.…”
Section: Volumetric Analysismentioning
confidence: 99%
“…To identify structural brain changes MRI volumetry and VBM were used. These volumetric methods follow different approach and therefore enables different conclusions: while volumetry is based on automatic segmentation of brain regions, VBM provides "voxelwise overview of regional morphological effects" (Morey et al 2009;Good et al 2001;Keller & Roberts 2009;Perlaki et al 2014). Previous structural neuroimaging studies about Internet addiction used the VBM approach.…”
Section: Vbmmentioning
confidence: 99%
“…26,27 Meta-analysis demonstrated reduced hippocampus volume in many neuropsychiatric disorders commonly found in women. 27 Therefore, researchers assumed that the smaller hippocampus volume of women contributed to increased vulnerability of neuropsychiatric disorders.…”
Section: Hippocampusmentioning
confidence: 99%