Uploaded May 2025 | Updated September 2026, 1 week ago
Abstract
Atlases of the brain are critical resources that make it possible to share data in a common reference frame. Unexpectedly, there is no three-dimensional (3D) stereotaxic atlas of the mouse brain that provides whole brain coverage at macro to single-cell levels. Diffusion tensor images from five perfusion-fixed (in skull) specimens were acquired at 15 micrometers, the highest resolution ever reported. Diffusion tensor imaging yields multiple 3D volumes, each of which highlights unique cytoarchitecture. The averages were mapped into micro–computed tomography of the mouse skull to create external landmarks (bregma and lambda). Light sheet images of the same brains were coregistered, providing cell maps in the same stereotaxic space. The Allen Reference Atlas was registered to the volume to correct the geometric distortion in that atlas and bring it into the stereotaxic space. The resulting multiscalar (13 terabytes) atlas provides a common spatial framework to anneal data across molecular, structural, and functional studies of mice.
Harrison Mansour et al. Science Advances. 30 Apr 2025. Vol 11, Issue 18.
DOI: 10.1126/sciadv.adq8089
Abstract
Atlases of the brain are critical resources that make it possible to share data in a common reference frame. Unexpectedly, there is no three-dimensional (3D) stereotaxic atlas of the mouse brain that provides whole brain coverage at macro to single-cell levels. Diffusion tensor images from five perfusion-fixed (in skull) specimens were acquired at 15 micrometers, the highest resolution ever reported. Diffusion tensor imaging yields multiple 3D volumes, each of which highlights unique cytoarchitecture. The averages were mapped into micro–computed tomography of the mouse skull to create external landmarks (bregma and lambda). Light sheet images of the same brains were coregistered, providing cell maps in the same stereotaxic space. The Allen Reference Atlas was registered to the volume to correct the geometric distortion in that atlas and bring it into the stereotaxic space. The resulting multiscalar (13 terabytes) atlas provides a common spatial framework to anneal data across molecular, structural, and functional studies of mice.
Harrison Mansour et al. Science Advances. 30 Apr 2025. Vol 11, Issue 18.
DOI: 10.1126/sciadv.adq8089
![Pedaling in MRI machine
Purpose
To evaluate the effects of exercise on left ventricular parameters using exercise cardiac MRI in healthy adults without known cardiovascular disease and establish reference ranges stratified by age and sex.
Materials and Methods
This prospective study included healthy adult participants with no known cardiovascular disease or genetic variants associated with cardiomyopathy, enrolled between January 2018 and April 2021, who underwent exercise cardiac MRI evaluation. Participants were imaged at rest and after exercise, and parameters were measured by two readers. Prediction intervals were calculated and compared across sex and age groups.
Results
The study included 161 participants (mean age, 49 years ± 14 [SD]; 85 female). Compared with the resting state, exercise caused an increase in heart rate (64 beats per minute ± 9 vs 133 beats per minute ± 19, P less than .001), left ventricular end-diastolic volume (140 mL ± 32 vs 148 mL ± 35, P less than .001), stroke volume (82 mL ± 18 vs 102 mL ± 25, P less than .001), ejection fraction (59% ± 6 vs 69% ± 7, P less than .001), and cardiac output (5.2 L/min ± 1.1 vs 13.5 L/min ± 3.9, P less than .001) and a decrease in left ventricular end-systolic volume (58 mL ± 18 vs 46 mL ± 15, P less than .001). There were statistically significant differences in exercise response between groups stratified by sex and age for most parameters.
Conclusion
In healthy adults, an increase in cardiac output after exercise was driven by an increase in heart rate with both increased ventricular filling and emptying. Normal ranges for exercise response, stratified by age and sex, were established as a reference for the use of exercise cardiac MRI in clinical practice.
Ronny Schweitzer et al. Radiology: Cardiothoracic Imaging. Published Online:Jun 5 2025. https://doi.org/10.1148/ryct.240175 Pedaling in MRI machine](https://i.ytimg.com/vi/x-WuaLQc2Nc/mqdefault.jpg)









