Monday, May 26, 2025

EPFL: An extended and improved CCFv3 annotation and Nissl atlas of the entire mouse brain

Glad to share Dr. Sebastien Piluso's work on the new atlas version paper, emerging from a long-standing research effort at the Blue Brain Project, is officially out in Imaging Neuroscience!

https://lnkd.in/dGdYhWyC

This work not only presents the first atlas covering the mouse central nervous system, but also provides anatomical reference data that unlock precise atlas segmentation of experimental brain images.



We even aim to shift the conceptualization of brain atlases from a single-volume reference model to a more versatile, next-generation framework.
This paves the way for large-scale brain image segmentation and the automated analysis of massive datasets using efficient, automated, and reproducible tools.

To showcase the capabilities of this dataset, we generated the first cellular atlas of the entire mouse brain, automatically identifying the coordinates, anatomical regions, and cell types of all its ~70 million constituent neurons. Additionally, we created an isotropic 10 μm-resolution average Nissl template from over 80,000 histological sections, revealing unprecedented anatomical contrasts without using interpolation.

Finally, these data serve as the foundational basis for constructing a precise and generic model of a digital mouse brain, now maintained by the Open Brain Institute. We have succeeded in bridging both ends by converting post-mortem anatomical images directly into realistic in silico data, which represents a significant step forward in the field of brain simulation.

Do not hesitate to explore, use, and share widely with colleagues!

I would like to thank all those who contributed to this work, and give a special thank you to Cyrille Favreau for the wonderful image visualization and Karin Holm for invaluable editorial support!

EPFL: A multiscale electro-metabolic model of a rat neocortical circuit reveals the impact of ageing on central cortical layers

🧠 Why does the brain demand so much energy? What happens when that supply falters with age?

In this study, we present a multiscale model of electro-metabolic coupling in a digitally reconstructed rat neocortex. By combining detailed electrophysiological modeling with neuro-glial-vascular (NGV) metabolic dynamics, we explore how energy demand varies across neurons and circuits, and how ageing disrupts this balance.

Key insights: 

🔹 Energy use varies by neuron type and circuit location

 🔹 Middle cortical layers are especially vulnerable to age-related metabolic decline

 🔹 Our model bridges single-cell metabolism and whole-circuit function 

We’re excited that this work brings us closer to understanding how energy dynamics influence brain ageing. 🙏

A big thank you to everyone in the EPFL Blue Brain Project - A Swiss Brain Initiative who contributed over the years to advancing neuroscience. In particular, I’d like to recognize the amazing contributors to this article: Alessandro Cattabiani, Darshan Mandge, Polina Shichkova, James Isbister, Jean Jacquemier, James Gonzalo King, Henry Markram, and Daniel Keller.

💫 Special thanks to Cyrille Favreau and Elvis Boci for their beautiful work on Figure 1 (below👇), Karin Holm for editorial support, and everyone else who helped shape this research.

📖 Read more: https://lnkd.in/dg-A-rVQ