Rahul Sharma (Editor)

BigBrain

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BigBrain is a freely accessible high-resolution 3D digital atlas of the human brain, released in June 2013 by a team of researchers at the Montreal Neurological Institute and the German Forschungszentrum Jülich and is part of the European Human Brain Project. The isotropic 3D spatial resolution of the BigBrain atlas is 20 µm, much finer than the typical 1 mm resolution of other existing 3D models of the human brain such as the Allen Brain Atlas. In 2014, BigBrain was cited in the top 10 MIT Technology Review.

Contents

Acquisition

The atlas was created from the brain of an unidentified 65-year-old woman who died with no known brain pathology. Her brain, after being removed from the skull, was first scanned using an MRI machine, then embedded in paraffin and sliced into 7,404 20 µm thick sections using a large-scale microtome. After each section was removed, the uncut face was photographed in order to provide an additional reference for removing distortion. The brain sections were placed on large glass slides and then stained for cell bodies using the Merker method, a process that causes the grey matter in the brain to be darkly stained while leaving the white matter uncolored. The stained sections were scanned and digitized using a flatbed scanner at 2400dpi, creating a one terabyte raw record. The acquisition process took about 1,000 hours of labor.

Image processing

The resulting digital images were then processed by human operators to remove artifacts, and by software to align them with the reference images and with neighboring sections, thereby correcting distortions that inevitably arise during histological processing. The corrected data were then assembled into a three-dimensional computer model with a spatial isotropic 3D resolution of 20 µm. The atlas took five years to complete. The database for the atlas is accessible on the web at https://bigbrain.loris.ca/main.php. Announced plans include mapping additional brains and providing tools to allow brain scans from medical patients to be aligned to the BigBrain structure.

References

BigBrain Wikipedia