苹果淫院

The BigBrain: Mapping the Future of Neuroscience

Researchers are working to improve on the acclaimed 3D digital atlas of the brain they introduced a decade ago

A decade after Alan Evans and Katrin Amunts made waves in the neuroscience world with the BigBrain,聽, they are working to take their original model to the next level.

The BigBrain is an open access high-resolution 3D digital atlas of the human brain, listed by the聽. The advance was born from collaboration between the researchers and their respective teams at The Neuro (Montreal Neurological Institute-Hospital) and Forschungszentrum J眉lich in Germany.

The current BigBrain was produced from the brain of a deceased 65-year-old man who had no neurological or psychiatric diseases. The brain was meticulously sliced into 7,404 sections, each 20 microns thick: less than one-third the width of a human hair. To create the detailed and interactive 3D brain map, each section underwent scanning, staining and manual correction before being digitally processed. This entire process took around 10 years.

Neuroscience meets artificial intelligence

Building on the BigBrain project, the Helmholtz Internation BigBrain Analytics & Learning Laboratory (HIBALL) was established in 2020 through 苹果淫院鈥檚聽Healthy Brains, Healthy Lives (HBHL)聽initiative and the Helmholtz Association of German Research Centres, with Evans and Amunts as co-Principal Investigators.

鈥淲e have some of the world鈥檚 leading experts working within the HIBALL network. HIBALL has truly unique capabilities to build upon,鈥 Evans said, citing 苹果淫院鈥檚 strengths in computational analysis and modeling and J眉lich鈥檚 strengths in data acquisition and neuroanatomy.

An international collaboration between researchers and trainees, HIBALL focuses on the connection between neuroscience and artificial intelligence (AI), aiming to enhance the 2013 BigBrain and create a highly detailed 3D model of the brain with slices just one micron thick. That鈥檚 one-thousandth of a millimetre.

鈥淭he current BigBrain is equivalent in size to 125,000 MRI volumes. Our plan to extend to one-micron resolution is a long-term goal, creating a dataset that would be 8,000 times the size of the current BigBrain,鈥 said Evans. 鈥淭his would allow us to study microscopic cellular architecture over the whole brain, a very ambitious goal that鈥檚 some years away.鈥

Better understanding of brain function

To address this mechanical and computational challenge, HIBALL seeks to develop new machine learning tools for pattern recognition and analysis, which will offer a better understanding of brain function and perception and facilitate the development of AI systems inspired by the brain. Before these innovations, neuroscientists had to rely on complicated and dated manual methods and microscopes to study the detailed layer structure of the brain.

鈥淔or example,聽, in a fully automated fashion, over the entire brain,鈥 Evans explained. 鈥淥ther scientists can now use this information to simulate brain network function using mathematical models. This is important work that underpins many modern approaches to understanding the brain鈥檚 functional neuroanatomy.鈥

Beyond its theoretical purposes, the BigBrain atlas can also be used as a template to help guide neurosurgeries: 鈥淪urgeons can superimpose the BigBrain on scans of an individual鈥檚 brain to help guide them in their electrode placements to improve Parkinson鈥檚 Disease symptoms. It鈥檚 a very practical neurosurgical application.鈥

Democratization of neuroscience

Evans is a champion of open science, emphasizing the value of the BigBrain鈥檚 role as a freely accessible resource.

鈥淪ince its publication, over 25,000 researchers worldwide have downloaded the BigBrain dataset for use in their own research,鈥 he explained. The BigBrain is more than a map of the brain. It includes remote data processing tools, open project meetings, workshops and online services.

As it stands, the project鈥檚 scientific progress is shown in over 100 publications and nearly 90 datasets, allowing for a deeper understanding of the brain鈥檚 organization.

鈥淭he BigBrain is an excellent example for the democratization of neuroscience. Increasingly, we have the infrastructure and tools for researchers from low- and middle-income countries to access and process the BigBrain data remotely, instead of having to ship their own data away for analysis,鈥 noted Evans.

Evans expressed pride in Montreal鈥檚 neuroscientific prominence, tracing it back to Dr. Wilder Penfield, one of Canada鈥檚 foremost neurosurgeons and the founder and first director of The Neuro.

鈥淚t鈥檚 amazing to be able to provide global access out of Montreal, a world capital of neuroscience,鈥 he remarked. 鈥溒还 and The Neuro have a huge standing on the international scene. I hope more Canadians come to recognize the pivotal role played by our institutions, right here at home.鈥

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