ArticleHuman brain mapping2021
Surface-Based Connectivity Integration: An atlas-free approach to jointly study functional and structural connectivity.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Right hippocampal volume and attenuated psychotic symptoms distinguish subgroups of youth with common patterns of temporoparietal effective connectivity.Brain structure & function · 2026Article
- Brain functional-structural gradient coupling reflects development, behavior and genetic influences.Nature communications · 2026Article
- Geometric constraints on the architecture of mammalian cortical connectomes.bioRxiv : the preprint server for biology · 2025Article
- Riemannian diffusion kernel-smoothed continuous structural connectivity on cortical surface.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Reply to 'Issues of parcellation in the calculation of structure-function coupling'.Nature reviews. Neuroscience · 2025Article
- TSSS: A Novel Triangulated Spherical Spline Smoothing for Surface-Based Data.Journal of nonparametric statistics · 2025Article
- Issues of parcellation in the calculation of structure-function coupling.Nature reviews. Neuroscience · 2025Article
- An end-to-end infant brain parcellation pipeline.Intelligent medicine · 2024Article
- CoCoNest: A continuous structural connectivity-based nested family of parcellations of the human cerebral cortex.Network neuroscience (Cambridge, Mass.) · 2024Article
- Imaging of the superficial white matter in health and disease.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Heritability and genetic contribution analysis of structural-functional coupling in human brain.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- CCA identifies a neurophysiological marker of adaptation capacity that is reliably linked to internal locus of control of cognition in amnestic MCI.GeroScience · 2023Article
- Enhancing cortical network-level participation coefficient as a potential mechanism for transfer in cognitive training in aMCI.NeuroImage · 2022Article
- Surface-Based Connectivity Integration: An atlas-free approach to jointly study functional and structural connectivity.Human brain mapping · 2021Article
- Plasma biomarker-informed brain topology for cognitive resilience: applications in non-pharmacological interventions concerning cognitive aging.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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8 authors.
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Abstract
There has been increasing interest in jointly studying structural connectivity (SC) and functional connectivity (FC) derived from diffusion and functional MRI. Previous connectome integration studies almost exclusively required predefined atlases. However, there are many potential atlases to choose from and this choice heavily affects all subsequent analyses. To avoid such an arbitrary choice, we propose a novel atlas-free approach, named Surface-Based Connectivity Integration (SBCI), to more accurately study the relationships between SC and FC throughout the intra-cortical gray matter. SBCI represents both SC and FC in a continuous manner on the white surface, avoiding the need for prespecified atlases. The continuous SC is represented as a probability density function and is smoothed for better facilitation of its integration with FC. To infer the relationship between SC and FC, three novel sets of SC-FC coupling (SFC) measures are derived. Using data from the Human Connectome Project, we introduce the high-quality SFC measures produced by SBCI and demonstrate the use of these measures to study sex differences in a cohort of young adults. Compared with atlas-based methods, this atlas-free framework produces more reproducible SFC features and shows greater predictive power in distinguishing biological sex. This opens promising new directions for all connectomics studies.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.