Biology subjects

MacKenzie-Graham, A. J.

Publications and source records attributed to MacKenzie-Graham, A. J..

3 recordsLinked to original sources

bioRxiv2026

Gonadal and sex chromosomal contributions to sex differences in mammalian brain organization

Sex differences in brain development may contribute to well-known sex differences in behavior and neuropsychiatric risk - making it important to comprehensively map and mechanistically annotate normative sex differences in brain organization. Most sex differences in mammalian brain organization have previously been attributed to differential effects of gonadal hormones based on outcomes from rodent endocrine manipulations at canonical subcortical foci of male-biased brain volume. However, a systematic quantification of both gonadal and sex chromosome dosage (SCD) contributions across all regions of sex-biased brain volume has been lacking. Here, using structural neuroimaging scans from wild-type (n=670) and transgenic mice that dissociate gonadal, X-, and Y-chromosome effects (n=181), we show that: many more brain regions are volumetrically sex-biased than previously recognized; gonadal effects dominate throughout this expanded map of sex differences; several regions also show prominent SCD contributions to anatomical sex differences, which can both reinforce or counteract gonadal effects in a regionally specific manner. Targeted single nucleus RNA sequencing at a region of female-biased cerebellar volume reveals that combined gonadal and SCD effects also drive sex-biased cellular gene expression. These findings revise our understanding of the spatial distribution and causal basis of sex-differences in the mammalian brain, illuminating a key axis of biological variation in health and disease.

neuroscience↗

bioRxiv2024

Mouse Brain Extractor: Brain segmentation of mouse MRI using global positional encoding and SwinUNETR

In spite of the great progress that has been made towards automating brain extraction in human magnetic resonance imaging (MRI), challenges remain in the automation of this task for mouse models of brain disorders. Researchers often resort to editing brain segmentation results manually when automated methods fail to produce accurate delineations. However, manual corrections can be labor-intensive and introduce interrater variability. This motivated our development of a new deep-learning-based method for brain segmentation of mouse MRI, which we call Mouse Brain Extractor. We adapted the existing SwinUNETR architecture (Hatamizadeh et al., 2021) with the goal of making it more robust to scale variance. Our approach is to supply the network model with supplementary spatial information in the form of absolute positional encoding. We use a new scheme for positional encoding, which we call Global Positional Encoding (GPE). GPE is based on a shared coordinate frame that is relative to the entire input image. This differs from the positional encoding used in SwinUNETR, which solely employs relative pairwise image patch positions. GPE also differs from the conventional absolute positional encoding approach, which encodes position relative to a subimage rather than the entire image. We trained and tested our method on a heterogeneous dataset of N=223 mouse MRI, for which we generated a corresponding set of manually-edited brain masks. These data were acquired previously in other studies using several different scanners and imaging protocols and included in vivo and ex vivo images of mice with heterogeneous brain structure due to different genotypes, strains, diseases, ages, and sexes. We evaluated our methods results against those of seven existing rodent brain extraction methods and two state-of-the art deep-learning approaches, nnU-Net (Isensee et al., 2018) and SwinUNETR. Overall, our proposed method achieved average Dice scores on the order of 0.98 and average HD95 measures on the order of 100 {micro}m when compared to the manually-labeled brain masks. In statistical analyses, our method significantly outperformed the conventional approaches and performed as well as or significantly better than the nnU-Net and SwinUNETR methods. These results suggest that Global Positional Encoding provides additional contextual information that enables our Mouse Brain Extractor to perform competitively on datasets containing multiple resolutions.

neuroscience↗

bioRxiv2022

A cross-species study of sex chromosome dosage effects on mammalian brain anatomy

All eutherian mammals show chromosomal sex determination with contrasting sex chromosome dosages (SCDs) between males (XY) and females (XX). Studies in transgenic mice and humans with sex chromosome trisomy (SCT) have revealed direct SCD effects on regional mammalian brain anatomy, but we lack a formal test for cross-species conservation of these effects. Here, we develop a harmonized framework for comparative structural neuroimaging and apply this to systematically profile SCD effects on regional brain anatomy in both humans and mice by contrasting groups with SCT (XXY and XYY) vs. XY controls. We show that total brain size is substantially altered by SCT in humans (significantly decreased by XXY and increased by XYY), but not in mice. Controlling for global effects reveals robust and spatially convergent effects of XXY and XYY on regional brain volume in humans, but not mice. However, mice do show subtle effects of XXY and XYY on regional volume, although there is not a general spatial convergence in these effects within mice or between species. Notwithstanding this general lack of conservation in SCT effects, we detect several brain regions that show overlapping effects of XXY and XYY both within and between species (cerebellum, parietal, and orbitofrontal cortex) - thereby nominating high priority targets for future translational dissection of SCD effects on the mammalian brain. Our study introduces a generalizable framework for comparative neuroimaging in humans and mice and applies this to achieve a cross-species comparison of SCD effects on the mammalian brain through the lens of SCT. HighlightsO_LIParallel structural neuroimaging in humans and mice with sex chromosome trisomies C_LIO_LIDivergent X- and Y-chromosome effects on human brain size, but convergent effects on regional anatomy C_LIO_LIMuted impact of additional X or Y on mouse brain, but subtle regional effects evident C_LIO_LIEvidence for conserved cross-species impact of X and Y on fronto-parietal cortices and cerebellum C_LI

neuroscience↗