Why Sex Matters: Brain Size Independent Differences in Gray Matter Distributions between Men and Women

The different brain anatomy of men and women is both a classic and continuing topic of major interest. Among the most replicated and robust sex differences are larger overall brain dimensions in men, and relative increases of global and regional gray matter (GM) in women. However, the question remains whether sex-typical differences in brain size (i.e., larger male and smaller female brains) or biological sex itself account for the observed sex effects on tissue amount and distribution. Exploring cerebral structures in men and women with similar brain size may clarify the true contribution of biological sex. We thus examined a sample of 24 male and 24 female subjects with brains identical in size, in addition to 24 male and 24 female subjects with considerable brain size differences. Using this large set of brains (n = 96), we applied a well validated and automated voxel-based approach to examine regional volumes of GM. While we revealed significant main effects of sex, there were no significant effects of brain size (and no significant interactions between sex and brain size). When conducting post hoc tests, we revealed a number of regions where women had larger GM volumes than men. Importantly, these sex effects remained evident when comparing men and women with the same brain size. Altogether, our findings suggest that the observed increased regional GM volumes in female brains constitute sex-dependent redistributions of tissue volume, rather than individual adjustments attributable to brain size.

[1]  S. F. Witelson,et al.  Women have greater density of neurons in posterior temporal cortex , 1995, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[2]  J. Kril,et al.  Language-associated cortical regions are proportionally larger in the female brain. , 1997, Archives of neurology.

[3]  Arthur W. Toga,et al.  The myth of the normal, average human brain—The ICBM experience: (1) Subject screening and eligibility , 2009, NeuroImage.

[4]  Alan C. Evans,et al.  Fast and robust parameter estimation for statistical partial volume models in brain MRI , 2004, NeuroImage.

[5]  B. J. Casey,et al.  Quantitative magnetic resonance imaging of human brain development: ages 4-18. , 1996, Cerebral cortex.

[6]  A. Scheibel,et al.  A quantitative dendritic analysis of wernicke's area in humans. II. Gender, hemispheric, and environmental factors , 1993, The Journal of comparative neurology.

[7]  D. Kimura Sex and cognition , 1999 .

[8]  Lutz Jäncke,et al.  Brain size and grey matter volume in the healthy human brain , 2002, Neuroreport.

[9]  Meritxell Bach Cuadra,et al.  Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images , 2005, IEEE Transactions on Medical Imaging.

[10]  Karl J. Friston,et al.  Cerebral Asymmetry and the Effects of Sex and Handedness on Brain Structure: A Voxel-Based Morphometric Analysis of 465 Normal Adult Human Brains , 2001, NeuroImage.

[11]  R. Woods,et al.  Gender effects on cortical thickness and the influence of scaling , 2006, Human brain mapping.

[12]  Sun I. Kim,et al.  Gender difference analysis of cortical thickness in healthy young adults with surface-based methods , 2006, NeuroImage.

[13]  N. Makris,et al.  Normal sexual dimorphism of the adult human brain assessed by in vivo magnetic resonance imaging. , 2001, Cerebral cortex.

[14]  R. Woods,et al.  Sex differences in cortical thickness mapped in 176 healthy individuals between 7 and 87 years of age. , 2007, Cerebral cortex.

[15]  Nancy C Andreasen,et al.  Sexual dimorphism in the human brain: evaluation of tissue volume, tissue composition and surface anatomy using magnetic resonance imaging , 2000, Psychiatry Research: Neuroimaging.

[16]  Karl J. Friston,et al.  Unified segmentation , 2005, NeuroImage.

[17]  Jagath C. Rajapakse,et al.  Statistical approach to segmentation of single-channel cerebral MR images , 1997, IEEE Transactions on Medical Imaging.

[18]  K. Cosgrove,et al.  Evolving Knowledge of Sex Differences in Brain Structure, Function, and Chemistry , 2007, Biological Psychiatry.

[19]  C. Gaser,et al.  Partial Volume Segmentation with Adaptive Maximum A Posteriori (MAP) Approach , 2009, NeuroImage.

[20]  Suzanne E. Welcome,et al.  Size Matters: Cerebral Volume Influences Sex Differences in Neuroanatomy , 2008, Cerebral cortex.

[21]  D. Kennedy,et al.  The young adult human brain: an MRI-based morphometric analysis. , 1994, Cerebral cortex.

[22]  Thomas E. Nichols,et al.  Controlling the familywise error rate in functional neuroimaging: a comparative review , 2003, Statistical methods in medical research.

[23]  Godfrey D. Pearlson,et al.  Structural differences in the cerebral cortex of healthy female and male subjects: a magnetic resonance imaging study , 1995, Psychiatry Research: Neuroimaging.

[24]  R. Woods,et al.  Mapping cortical thickness and gray matter concentration in first episode schizophrenia. , 2005, Cerebral cortex.

[25]  Eileen Luders,et al.  Gender differences in cortical complexity , 2004, Nature Neuroscience.

[26]  B. Turetsky,et al.  Sex Differences in Brain Gray and White Matter in Healthy Young Adults: Correlations with Cognitive Performance , 1999, The Journal of Neuroscience.

[27]  Paul M. Thompson,et al.  A curvature-based approach to estimate local gyrification on the cortical surface , 2006, NeuroImage.

[28]  Paul M. Thompson,et al.  Mapping cortical gray matter in the young adult brain: Effects of gender , 2005, NeuroImage.

[29]  K Zilles,et al.  Human primary auditory cortex in women and men , 2001, Neuroreport.