ArticleBrain imaging and behavior2019
Joint representation of connectome-scale structural and functional profiles for identification of consistent cortical landmarks in macaque brain.
Article in Brain imaging and behavior, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Mapping longitudinally consistent intrinsic connectivity networks in macaque brain via longitudinal sparse dictionary learning.IBRO neuroscience reports · 2025Article
- Fundamental functional differences between gyri and sulci: implications for brain function, cognition, and behavior.Psychoradiology · 2021Review
- Joint Analysis of Functional and Structural Connectomes Between Preterm and Term Infant Brains via Canonical Correlation Analysis With Locality Preserving Projection.Frontiers in neuroscience · 2021Article
- Hierarchical Organization of Functional Brain Networks Revealed by Hybrid Spatiotemporal Deep Learning.Brain connectivity · 2020Article
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12 authors.
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Abstract
Discovery and representation of common structural and functional cortical architectures has been a significant yet challenging problem for years. Due to the remarkable variability of structural and functional cortical architectures in human brain, it is challenging to jointly represent a common cortical architecture which can comprehensively encode both structure and function characteristics. In order to better understand this challenge and considering that macaque monkey brain has much less variability in structure and function compared with human brain, in this paper, we propose a novel computational framework to apply our DICCCOL (Dense Individualized and Common Connectivity-based Cortical Landmarks) and HAFNI (Holistic Atlases of Functional Networks and Interactions) frameworks on macaque brains, in order to jointly represent structural and functional connectome-scale profiles for identification of a set of consistent and common cortical landmarks across different macaque brains based on multimodal DTI and resting state fMRI (rsfMRI) data. Experimental results demonstrate that 100 consistent and common cortical landmarks are successfully identified via the proposed framework, each of which has reasonably accurate anatomical, structural fiber connection pattern, and functional correspondences across different macaque brains. This set of 100 landmarks offer novel insights into the structural and functional cortical architectures in macaque brains.
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