Corpus ID: 59574131

Brain structure may determine gender identity-a VBM study on transsexualism

@inproceedings{SzaboBrainSM,
  title={Brain structure may determine gender identity-a VBM study on transsexualism},
  author={Alexander G. Szabo and G{\'a}bor Csukly and Vikt{\'o}ria Simon and G{\'a}bor Rudas and P. and Czobor and Lehel Alp{\'a}r Simon}
}

Figures and Tables from this paper

References

SHOWING 1-10 OF 10 REFERENCES
Increased Cortical Thickness in Male-to-Female Transsexualism.
TLDR
Findings provide further evidence that brain anatomy is associated with gender identity, where measures in MTF transsexuals appear to be shifted away from gender-congruent men. Expand
Sex dimorphism of the brain in male-to-female transsexuals.
TLDR
The present data do not support the notion that brains of MtF-TR are feminized, and bring attention to the networks inferred in processing of body perception. Expand
Sexual differentiation of the human brain: Relation to gender identity, sexual orientation and neuropsychiatric disorders
  • A. Bao, D. Swaab
  • Medicine, Psychology
  • Frontiers in Neuroendocrinology
  • 2011
TLDR
The relationships between structural and functional sex differences of various brain areas and the way they change along with any changes in the supply of sex hormones on the one hand and sex differences in behavior in health and disease on the other are discussed. Expand
Adaptive non‐local means denoising of MR images with spatially varying noise levels
To adapt the so‐called nonlocal means filter to deal with magnetic resonance (MR) images with spatially varying noise levels (for both Gaussian and Rician distributed noise).
Regional gray matter variation in male-to-female transsexualism
TLDR
MRI data of 24 male-to-female (MTF) transsexuals not yet treated with cross-sex hormones are analyzed to provide new evidence that transsexualism is associated with distinct cerebral pattern, which supports the assumption that brain anatomy plays a role in gender identity. Expand
A fast diffeomorphic image registration algorithm
TLDR
DARTEL has been applied to intersubject registration of 471 whole brain images, and the resulting deformations were evaluated in terms of how well they encode the shape information necessary to separate male and female subjects and to predict the ages of the subjects. Expand
Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images
TLDR
A validation study on statistical nonsupervised brain tissue classification techniques in magnetic resonance (MR) images demonstrates that methods relying on both intensity and spatial information are more robust to noise and field inhomogeneities and shows that simulated data results can be extended to real data. Expand
Fast and robust parameter estimation for statistical partial volume models in brain MRI
TLDR
The proposed TMCD method allows for the accurate, robust, and efficient estimation of partial volume model parameters, which is crucial to a variety of brain MRI data analysis procedures such as the accurate estimation of tissue volumes and the accurate delineation of the cortical surface. Expand
Voxel-Based Morphometry—The Methods
At its simplest, voxel-based morphometry (VBM) involves a voxel-wise comparison of the local concentration of gray matter between two groups of subjects. The procedure is relatively straightforwardExpand
Statistical approach to segmentation of single-channel cerebral MR images
TLDR
The proposed scheme for segmentation is based on the iterative conditional modes (ICM) algorithm in which measurement model parameters are estimated using local information at each site, and the prior model parametersare estimated using the segmentation after each cycle of iterations. Expand