Software tool brings together multiple brain maps in one place
- Date:
- October 6, 2022
- Source:
- McGill University
- Summary:
- A team of scientists has brought together more than forty existing brain maps in one place. The database, called neuromaps, will help scientists find correlations between patterns across different brain regions, spatial scales, modalities and brain functions. It provides a standardized space to view each map in comparison to each other, and assesses the statistical significance of these comparisons, to help researchers distinguish a meaningful correlation from a random pattern.
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The brain is a complex organ, and no one imaging mode can catch everything that's going on inside it. Over the years, multiple "brain maps" have emerged, each focusing on different brain processes, from metabolism to cognitive function. While these maps are important, using them in isolation limits the discoveries researchers can make from them.
Now a team from The Neuro has brought together more than forty existing brain maps in one place. The database, called neuromaps, will help scientists find correlations between patterns across different brain regions, spatial scales, modalities and brain functions. It provides a standardized space to view each map in comparison to each other, and assesses the statistical significance of these comparisons, to help researchers distinguish a meaningful correlation from a random pattern. The neuromaps database also helps standardize the code across maps, to improve reproducibility of results.
The team published their results in the journal Nature Methods on Oct. 6, 2022 and has made their data open access on github.
"Ultimately, we hope that neuromaps will add a spark to the analysis of human brain maps and increase accessibility of data and software tools to people with diverse research interests," says Justine Hansen, the paper's co-first author. "As the rate at which new brain maps are generated in the field continues to grow, we hope that neuromaps will provide researchers with a set of standardized workflows for better understanding what these data can tell us about the human brain."
This study was funded with the help of Fonds de Recherche du Quebec -- Nature et Technologies (FRQNT), Canadian Open Neuroscience Platform (CONP), Hemlholtz International BigBrain Analytics and Learning Laboratory (HIBALL), Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Research Chairs (CRC), National Institute of Health (NIH), Canadian Institutes of Health Research (CIHR), Healthy Brains for Healthy Lives (HBHL), and Brain Canada Future Leaders (BCF).
Story Source:
Materials provided by McGill University. Note: Content may be edited for style and length.
Journal Reference:
- Ross D. Markello, Justine Y. Hansen, Zhen-Qi Liu, Vincent Bazinet, Golia Shafiei, Laura E. Suárez, Nadia Blostein, Jakob Seidlitz, Sylvain Baillet, Theodore D. Satterthwaite, M. Mallar Chakravarty, Armin Raznahan, Bratislav Misic. neuromaps: structural and functional interpretation of brain maps. Nature Methods, 2022; DOI: 10.1038/s41592-022-01625-w
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