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Mapping Macaque to Human Cortex with Natural Scene Responses
Kasper Vinken1, Saloni Sharma1, Margaret S Livingstone1
1Department of Neurobiology, Harvard Medical School, Boston, MA 02115, USA.
Biorxiv : the Preprint Server for Biology
|June 4, 2025
Summary
This study introduces a novel data-driven method to map brain function across species using naturalistic stimuli. It enables precise alignment of macaque and human brain regions, advancing comparative neuroscience research.
Area of Science:
- Comparative Neuroscience
- Neuroimaging
- Primate Brain Research
Background:
- Neuroscience commonly uses macaque models to understand human brain function.
- Identifying homologous brain regions across species and measurement types, especially in higher-order cortex, is challenging due to non-homologous anatomy and narrow hypotheses.
Purpose of the Study:
- To develop and validate a data-driven approach for mapping functional correspondence between macaque and human brains.
- To overcome limitations of traditional methods relying on predefined concepts and limited stimuli.
Main Methods:
- Directly compared macaque electrophysiology with human functional Magnetic Resonance Imaging (fMRI) data.
- Utilized responses to 700 natural scenes as stimuli, focusing on response pattern similarity for alignment.
- Applied the method to the ventral face patch system as a test case.
Main Results:
- Achieved fine-grained functional alignment between macaque and human brain regions based on natural scene response patterns.
- The identified correspondence aligns with full-brain anatomical warping.
- Results contradict previous findings limited by narrow functional hypotheses.
Conclusions:
- Natural image-evoked response patterns offer a robust basis for cross-species functional alignment in neuroscience.
- This approach supports scalable comparisons as large-scale primate recordings increase.
- Resolves ambiguities in cross-species brain region mapping, particularly in visual processing areas.
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