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Inter-species cortical registration between macaques and humans using a functional network property under a spherical
Haewon Nam1, Chongwon Pae2,3, Jinseok Eo2,3,4,5
1Department of Liberal Arts, Hongik University, Sejong, Republic of Korea.
Plos One
|October 21, 2021
Summary
This study introduces a novel functional network-based brain registration method to map homologous regions between human and macaque cortices. This approach reveals significant differences in functional versus structural homology, highlighting its importance for cross-species brain analysis.
Area of Science:
- Neuroscience
- Comparative Anatomy
- Brain Imaging
Background:
- Accurate inter-species cortical registration is crucial for comparing human and macaque brains.
- Current methods rely on structural landmarks, often overlooking functional homology.
- Functional network properties offer a promising alternative for defining homologous brain regions.
Purpose of the Study:
- To develop and validate an iterative functional network-based registration scheme for human and macaque cortices.
- To compare functional versus structural registration methods for accuracy and biological relevance.
- To investigate inter-hemispheric asymmetry and inter-subject variability in cortical homology.
Main Methods:
- Utilized resting-state functional magnetic resonance imaging (rs-fMRI) to derive functional connectivity matrices.
- Employed surface-based spherical demons for iterative registration based on functional network properties.
- Compared registration outcomes based on structural versus functional features and analyzed regional area changes.
- Evaluated inter-hemispheric asymmetry and inter-subject variability as validation metrics.
Main Results:
- Functional network-based registration revealed higher inter-subject variability and inter-hemispheric asymmetry compared to structural registration.
- These asymmetries and variations were more pronounced in humans than in macaques.
- The proposed iterative method successfully updated macaque parcellation maps to align with human brain atlases.
Conclusions:
- Functional network properties are essential for accurate cross-species cortical registration, offering insights beyond structural comparisons.
- The developed method provides a robust framework for understanding functional brain organization across species.
- Findings underscore the significance of functional homology for both within-species and cross-species neuroanatomical studies.
