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Recent years have seen a rise of new methods and applications to study smooth spatial transitions — or gradients —of brain organization. Identification and analysis of cortical gradients provides a framework to study brain organization across species, to examine changes in brain development and aging, and to more generally study the interrelation between brain structure, function and cognition. In this pre-OHBM workshop, held on July 21, 2023, we will bring together outstanding junior and senior scientists to discuss the challenges and opportunities afforded by this emerging perspective.

Early career researchers will take centre stage for a series of talks on state-of-the-art development and application of gradient approaches, while a diverse range of established scientists from across the globe will chair the proceedings. In this manner, we hope to stimulate discussions on how gradients are changing our understanding of brain organization and to initiate fellow researchers to this burgeoning field.

Call for PostersÌý

Sharing Science and Knowledge

Researchers and students have the opportunity to share their ideas and research during the Gradients of Brain Organization Workshop. Researchers and trainees at the undergraduate, graduate, and postdoctoral level are invited to present their work. The poster session will take place in-person during the cocktail. The scientific presentations are intended to ignite discussion, collaboration, and connection.Ìý

Please submit your abstract of less than 500 wordsÌý. Abstracts should contain: 1) name of author & affiliation, 2)name of co-authors & affiliation, 3) title of abstract, 4) abstract.ÌýThe deadline for submission is June 7, 2023.

Abstracts will be reviewed by the scientific program committee. Authors will be notified whether their submission will be accepted or notÌýby June 30, 2023.

**Submissions for the abstracts have now ended and we will no longer be accepting submissions.

Organizing Committee:

Boris Bernhardt

Jessica Royer

Debbie Rashcovsky

Sasha Kelly

Sponsors

The Quebec Bio-Imaging Network (QBIN)

Hemholtz International BigBrain Analytics & Learning Laboratory (HIBALL)

University of Cambridge

Max Planck School of Cognition

European Research Council