Comparative neuroimaging of sex differences in human and mouse brain anatomy

In vivo neuroimaging studies have established several reproducible volumetric sex differences in the human brain, but the causes of such differences are hard to parse. While mouse models are useful for understanding the cellular and mechanistic bases of sex-biased brain development in mammals, there have been no attempts to formally compare mouse and human sex differences across the whole brain to ascertain how well they translate. Addressing this question would shed critical light on use of the mouse as a translational model for sex differences in the human brain and provide insights into the degree to which sex differences in brain volume are conserved across mammals. Here, we use cross-species structural magnetic resonance imaging to carry out the first comparative neuroimaging study of sex-biased neuroanatomical organization of the human and mouse brain. In line with previous findings, we observe that in humans, males have significantly larger and more variable total brain volume; these sex differences are not mirrored in mice. After controlling for total brain volume, we observe modest cross-species congruence in the volumetric effect size of sex across 60 homologous brain regions (r=0.30; e.g.: M>F amygdala, hippocampus, bed nucleus of the stria terminalis, and hypothalamus and F>M anterior cingulate, somatosensory, and primary auditory cortices). This cross-species congruence is greater in the cortex (r=0.33) than non-cortex (r=0.16). By incorporating regional measures of gene expression in both species, we reveal that cortical regions with greater cross-species congruence in volumetric sex differences also show greater cross-species congruence in the expression profile of 2835 homologous genes. This phenomenon differentiates primary sensory regions with high congruence of sex effects and gene expression from limbic cortices where congruence in both these features was weaker between species. These findings help identify aspects of sex-biased brain anatomy present in mice that are retained, lost, or inverted in humans. More broadly, our work provides an empirical basis for targeting mechanistic studies of sex-biased brain development in mice to brain regions that best echo sex-biased brain development in humans.

[1]  P. Griffiths,et al.  Sex differences in fetal intracranial volumes assessed by in utero MR imaging , 2023, Biology of Sex Differences.

[2]  L. Gallagher,et al.  Sex and gender in neurodevelopmental conditions , 2023, Nature Reviews Neurology.

[3]  J. Lerch,et al.  A Cross-Species Neuroimaging Study of Sex Chromosome Dosage Effects on Human and Mouse Brain Anatomy , 2023, Journal of Neuroscience.

[4]  J. Mason,et al.  Sex differences in allometry for phenotypic traits in mice indicate that females are not scaled males , 2022, Nature communications.

[5]  Benjamin C. Darwin,et al.  Whole-brain comparison of rodent and human brains using spatial transcriptomics , 2022, eLife.

[6]  N. Shental,et al.  Sex, strain, and lateral differences in brain cytoarchitecture across a large mouse population , 2022, bioRxiv.

[7]  A. Raznahan,et al.  Sex differences in the human brain: a roadmap for more careful analysis and interpretation of a biological reality , 2022, Biology of sex differences.

[8]  Brian R. Long,et al.  Conservation and divergence of cortical cell organization in human and mouse revealed by MERFISH , 2022, Science.

[9]  Alex T. Kalinka,et al.  Androgens increase excitatory neurogenic potential in human brain organoids , 2022, Nature.

[10]  F. Ramus,et al.  Sex differences in the brain are not reduced to differences in body size , 2021, Neuroscience & Biobehavioral Reviews.

[11]  J B Poline,et al.  Standardizing workflows in imaging transcriptomics with the abagen toolbox , 2021, bioRxiv.

[12]  Zoran Bursac,et al.  An introduction to new robust linear and monotonic correlation coefficients , 2021, BMC Bioinform..

[13]  K. Kendrick,et al.  Choice of Voxel-based Morphometry processing pipeline drives variability in the location of neuroanatomical brain markers , 2021, Communications Biology.

[14]  Hans J. Johnson,et al.  Advanced Normalization Tools (ANTs) , 2020 .

[15]  Jurgen Germann,et al.  A high-resolution in vivo magnetic resonance imaging atlas of the human hypothalamic region , 2020, Scientific Data.

[16]  A. Ahmed,et al.  Dump the “dimorphism”: Comprehensive synthesis of human brain studies reveals few male-female differences beyond size , 2020, Neuroscience & Biobehavioral Reviews.

[17]  L. Clasen,et al.  Integrative structural, functional, and transcriptomic analyses of sex-biased brain organization in humans , 2020, Proceedings of the National Academy of Sciences.

[18]  J. Mason,et al.  Sex and Power: sexual dimorphism in trait variability and its eco-evolutionary and statistical implications , 2020, bioRxiv.

[19]  L. Ng,et al.  The Allen Mouse Brain Common Coordinate Framework: A 3D Reference Atlas , 2020, Cell.

[20]  Hongkui Zeng,et al.  A taxonomy of transcriptomic cell types across the isocortex and hippocampal formation , 2020, Cell.

[21]  Knut K. Kolskår,et al.  Greater male than female variability in regional brain structure across the lifespan , 2020, bioRxiv.

[22]  R. Shinohara,et al.  Sex differences in Variability of Brain Structure Across the Lifespan , 2019, bioRxiv.

[23]  Valerio Zerbi,et al.  Primate homologs of mouse cortico-striatal circuits , 2019, bioRxiv.

[24]  M. McCarthy A new view of sexual differentiation of mammalian brain , 2019, Journal of Comparative Physiology A.

[25]  P. Hof,et al.  Spatiotemporal expansion of primary progenitor zones in the developing human cerebellum , 2019, Science.

[26]  L. Swanson,et al.  A model for mapping between the human and rodent cerebral cortex , 2019, The Journal of comparative neurology.

[27]  Andrea Hildebrandt,et al.  Sex differences in facial emotion perception ability across the lifespan , 2019, Cognition & emotion.

[28]  N. Neumann,et al.  Novel findings from 2,838 Adult Brains on Sex Differences in Gray Matter Brain Volume , 2019, Scientific Reports.

[29]  Ben D. Fulcher,et al.  A practical guide to linking brain-wide gene expression and neuroimaging data , 2018, NeuroImage.

[30]  Jun Dazai,et al.  Mouse MRI shows brain areas relatively larger in males emerge before those larger in females , 2018, Nature Communications.

[31]  Jason P. Lerch,et al.  Impact of X/Y genes and sex hormones on mouse neuroanatomy , 2018, NeuroImage.

[32]  A. Righini,et al.  Prenatal Brain MR Imaging: Reference Linear Biometric Centiles between 20 and 24 Gestational Weeks , 2018, American Journal of Neuroradiology.

[33]  M. Dylan Tisdall,et al.  Quantitative assessment of structural image quality , 2018, NeuroImage.

[34]  Jonathan R. Polimeni,et al.  Advantages of cortical surface reconstruction using submillimeter 7 T MEMPRAGE , 2018, NeuroImage.

[35]  R. Passingham,et al.  Whole brain comparative anatomy using connectivity blueprints , 2018, bioRxiv.

[36]  Douglas C. Dean,et al.  Investigation of brain structure in the 1-month infant , 2018, Brain Structure and Function.

[37]  Evan Bolton,et al.  Database resources of the National Center for Biotechnology Information , 2017, Nucleic Acids Res..

[38]  Miao He,et al.  Brain-wide Maps Reveal Stereotyped Cell-Type-Based Cortical Architecture and Subcortical Sexual Dimorphism , 2017, Cell.

[39]  T. Leigh Spencer Noakes,et al.  Partitioning k‐space for cylindrical three‐dimensional rapid acquisition with relaxation enhancement imaging in the mouse brain , 2017, NMR in biomedicine.

[40]  Nadine Gogolla The insular cortex , 2017, Current Biology.

[41]  Russell T. Shinohara,et al.  Harmonization of cortical thickness measurements across scanners and sites , 2017, NeuroImage.

[42]  Ragini Verma,et al.  Harmonization of multi-site diffusion tensor imaging data , 2017, NeuroImage.

[43]  Jesper Andersson,et al.  A multi-modal parcellation of human cerebral cortex , 2016, Nature.

[44]  J. Lerch,et al.  Separate effects of sex hormones and sex chromosomes on brain structure and function revealed by high-resolution magnetic resonance imaging and spatial navigation assessment of the Four Core Genotype mouse model , 2016, Brain Structure and Function.

[45]  Norbert Schuff,et al.  Bayesian segmentation of brainstem structures in MRI , 2015, NeuroImage.

[46]  Koenraad Van Leemput,et al.  A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI , 2015, NeuroImage.

[47]  M. Mallar Chakravarty,et al.  Multi-atlas segmentation of the whole hippocampus and subfields using multiple automatically generated templates , 2014, NeuroImage.

[48]  J. Gilmore,et al.  Impact of sex and gonadal steroids on neonatal brain structure. , 2014, Cerebral cortex.

[49]  R M Henkelman,et al.  Clustering autism: using neuroanatomical differences in 26 mouse models to gain insight into the heterogeneity , 2014, Molecular Psychiatry.

[50]  Jennifer F. Hughes,et al.  Sequencing the Mouse Y Chromosome Reveals Convergent Gene Acquisition and Amplification on Both Sex Chromosomes , 2014, Cell.

[51]  M. Mallar Chakravarty,et al.  Pydpiper: a flexible toolkit for constructing novel registration pipelines , 2014, Front. Neuroinform..

[52]  C. Disteche,et al.  X chromosome regulation: diverse patterns in development, tissues and disease , 2014, Nature Reviews Genetics.

[53]  S. Baron-Cohen,et al.  Neuroscience and Biobehavioral Reviews a Meta-analysis of Sex Differences in Human Brain Structure , 2022 .

[54]  Jacob Ellegood,et al.  Genetic Effects on Cerebellar Structure Across Mouse Models of Autism Using a Magnetic Resonance Imaging Atlas , 2014, Autism research : official journal of the International Society for Autism Research.

[55]  L. Engqvist,et al.  THE VARIABILITY IS IN THE SEX CHROMOSOMES , 2013, Evolution; international journal of organic evolution.

[56]  D. Collins,et al.  Performing label‐fusion‐based segmentation using multiple automatically generated templates , 2013, Human brain mapping.

[57]  Mark Jenkinson,et al.  The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.

[58]  Andrew L. Janke,et al.  A segmentation protocol and MRI atlas of the C57BL/6J mouse neocortex , 2013, NeuroImage.

[59]  A. Herlitz,et al.  Sex differences and the own-gender bias in face recognition: A meta-analytic review , 2013 .

[60]  Allan R. Jones,et al.  An anatomically comprehensive atlas of the adult human brain transcriptome , 2012, Nature.

[61]  Bruce Fischl,et al.  FreeSurfer , 2012, NeuroImage.

[62]  Lindsay S. Cahill,et al.  Preparation of fixed mouse brains for MRI , 2012, NeuroImage.

[63]  Emma Ashwin,et al.  Fetal Testosterone Influences Sexually Dimorphic Gray Matter in the Human Brain , 2012, The Journal of Neuroscience.

[64]  Steen Moeller,et al.  The Human Connectome Project: A data acquisition perspective , 2012, NeuroImage.

[65]  Gary F. Egan,et al.  Segmentation of the mouse hippocampal formation in magnetic resonance images , 2011, NeuroImage.

[66]  Margaret M McCarthy,et al.  Reframing sexual differentiation of the brain , 2011, Nature Neuroscience.

[67]  N. Shah,et al.  Control of masculinization of the brain and behavior , 2011, Current Opinion in Neurobiology.

[68]  D. Louis Collins,et al.  Unbiased average age-appropriate atlases for pediatric studies , 2011, NeuroImage.

[69]  Bruce Fischl,et al.  Highly accurate inverse consistent registration: A robust approach , 2010, NeuroImage.

[70]  Dick F Swaab,et al.  Sex Differences in the Brain, Behavior, and Neuropsychiatric Disorders , 2010, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.

[71]  Richard A. Lippa,et al.  Sex Differences in Mental Rotation and Line Angle Judgments Are Positively Associated with Gender Equality and Economic Development Across 53 Nations , 2010, Archives of sexual behavior.

[72]  C. Almli,et al.  Unbiased nonlinear average age-appropriate brain templates from birth to adulthood , 2009, NeuroImage.

[73]  A. Arnold,et al.  What does the “four core genotypes” mouse model tell us about sex differences in the brain and other tissues? , 2009, Frontiers in Neuroendocrinology.

[74]  R. Mark Henkelman,et al.  High resolution three-dimensional brain atlas using an average magnetic resonance image of 40 adult C57Bl/6J mice , 2008, NeuroImage.

[75]  Cynthia L. Jordan,et al.  The role of androgen receptors in the masculinization of brain and behavior: What we've learned from the testicular feminization mutation , 2008, Hormones and Behavior.

[76]  M. McCarthy,et al.  Cellular mechanisms of estradiol-mediated masculinization of the brain , 2008, The Journal of Steroid Biochemistry and Molecular Biology.

[77]  R. Mark Henkelman,et al.  Sexual dimorphism revealed in the structure of the mouse brain using three-dimensional magnetic resonance imaging , 2007, NeuroImage.

[78]  Rebecca C. Knickmeyer,et al.  Regional Gray Matter Growth, Sexual Dimorphism, and Cerebral Asymmetry in the Neonatal Brain , 2007, The Journal of Neuroscience.

[79]  Allan R. Jones,et al.  Genome-wide atlas of gene expression in the adult mouse brain , 2007, Nature.

[80]  Anders M. Dale,et al.  Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.

[81]  Anders M. Dale,et al.  An automated labeling system for subdividing the human cerebral cortex on MRI scans into gyral based regions of interest , 2006, NeuroImage.

[82]  Anders M. Dale,et al.  Reliability in multi-site structural MRI studies: Effects of gradient non-linearity correction on phantom and human data , 2006, NeuroImage.

[83]  C. Woolley,et al.  Sexually Dimorphic Synaptic Organization of the Medial Amygdala , 2005, The Journal of Neuroscience.

[84]  Joseph V. Hajnal,et al.  A robust method to estimate the intracranial volume across MRI field strengths (1.5T and 3T) , 2010, NeuroImage.

[85]  Anders M. Dale,et al.  Sequence-independent segmentation of magnetic resonance images , 2004, NeuroImage.

[86]  J. Archer Sex Differences in Aggression in Real-World Settings: A Meta-Analytic Review , 2004 .

[87]  Marianna D. Eddy,et al.  Regionally localized thinning of the cerebral cortex in schizophrenia , 2003, Schizophrenia Research.

[88]  A. Dale,et al.  Whole Brain Segmentation Automated Labeling of Neuroanatomical Structures in the Human Brain , 2002, Neuron.

[89]  Alan C. Evans,et al.  A Unified Statistical Approach to Deformation-Based Morphometry , 2001, NeuroImage.

[90]  Y. Benjamini,et al.  THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .

[91]  A M Dale,et al.  Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[92]  D. Swaab,et al.  Apoptosis during sexual differentiation of the bed nucleus of the stria terminalis in the rat brain. , 2000, Journal of neurobiology.

[93]  A. M. Dale,et al.  A Coordinate System for the Cortical Surface , 1998, NeuroImage.

[94]  D. Collins,et al.  Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach Space , 1994, Journal of computer assisted tomography.

[95]  A. Dale,et al.  Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach , 1993, Journal of Cognitive Neuroscience.

[96]  R. Gorski,et al.  Sex differences in subregions of the medial nucleus of the amygdala and the bed nucleus of the stria terminalis of the rat , 1992, Brain Research.

[97]  Yasumasa Arai,et al.  Sexual dimorphism in synaptic organization in the amygdala and its dependence on neonatal hormone environment , 1981, Brain Research.

[98]  A. Dekaban,et al.  Changes in brain weights during the span of human life: Relation of brain weights to body heights and body weights , 1978, Annals of neurology.

[99]  J. H. Gordon,et al.  Evidence for a morphological sex difference within the medial preoptic area of the rat brain , 1978, Brain Research.

[100]  Z. M. Saygina,et al.  High-resolution magnetic resonance imaging reveals nuclei of the human amygdala : manual segmentation to automatic atlas , 2017 .

[101]  Deanna Greenstein,et al.  Globally Divergent but Locally Convergent X- and Y-Chromosome Influences on Cortical Development. , 2016, Cerebral cortex.

[102]  B. Vogt,et al.  Cytoarchitecture of mouse and rat cingulate cortex with human homologies , 2012, Brain Structure and Function.

[103]  Cheng Li,et al.  Adjusting batch effects in microarray expression data using empirical Bayes methods. , 2007, Biostatistics.

[104]  Nikos Makris,et al.  Automatically parcellating the human cerebral cortex. , 2004, Cerebral cortex.

[105]  Anders M. Dale,et al.  Automated manifold surgery: constructing geometrically accurate and topologically correct models of the human cerebral cortex , 2001, IEEE Transactions on Medical Imaging.

[106]  A. Dale,et al.  High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.

[107]  Y. Benjamini,et al.  Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .