Distinct gradients of cortical architecture capture visual representations and behavior across the lifespan
Abstract The microstructure of cells within human cerebral cortex varies across the cortical ribbon, where changes in cytoarchitecture and myeloarchitecture are thought to endow each region of cortex with its unique function. While fine-scale relative to a cell, these changes at population level impact architectural properties of cortex measurable in vivo by noninvasive MRI, such as the thickness and myelin content of cortex. This raises the question of whether or not we can use these in vivo architectural measures to understand cortical organization, function, and development more broadly. Using human visual cortex as a test bed, we demonstrated two architectural gradients, one in which cytoarchitecture and myeloarchitecture converge and another in which they diverge. These two gradients underlie the structural and functional topography of visual cortex, even predicting the presence of new visual representations. Moreover, the two gradients show distinct visual behavior relevance and lifespan trajectory. These findings provide a more general framework for understanding human cortex, showing that architectural gradients are a measurable fingerprint of functional organization and ontogenetic routines in the human brain.
Authors
- Patricia Maria Hoyos
- Jesse Gomez (ORCID: https://orcid.org/0000-0001-7982-2055)
- Zonglei Zhen (ORCID: https://orcid.org/0000-0002-6748-6434)
- Xingyu Liu (ORCID: https://orcid.org/0000-0002-4386-2140)
- Edan Daniel Hertz (ORCID: https://orcid.org/0000-0001-6033-1926)
- Jewelia K. Yao (ORCID: https://orcid.org/0000-0002-0091-6153)
- Xiayu S. Chen (ORCID: https://orcid.org/0000-0002-2318-9921)
Institutions
- Princeton University (US)
- Beijing Normal University (CN)
- State Key Laboratory of Cognitive Neuroscience and Learning (CN)
Publication Details
- Journal
- eLife
- Published
- 2026-10-30
- DOI
- https://doi.org/10.7554/elife.102095.3
- Primary Topic
- Visual perception and processing mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Science and Technology Major Project
- Princeton Neuroscience Institute