ArticleScientific reports2015
A novel brain partition highlights the modular skeleton shared by structure and function.
Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.
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Who cites it
49 citing papers in PubMed.
- Machine-enhanced reconstruction of functional connectomes unravels discriminative brain sub-systems in health and disease.Scientific reports · 2026Article
- Connectivity of the adult human brain with sequential neurogenesis of circuits and transcriptomics signatures.Nature communications · 2025Article
- Combining functional, structural, and morphological networks for multimodal classification of developing autistic brains.Brain imaging and behavior · 2025Article
- The balance between integration and segregation drives network dynamics maximizing multistability and metastability.Scientific reports · 2025Article
- The Journey of the Default Mode Network: Development, Function, and Impact on Mental Health.Biology · 2025Review
- Partial correlation as a tool for mapping functional-structural correspondence in human brain connectivity.Network neuroscience (Cambridge, Mass.) · 2025Article
- Delineating network integration and segregation in the pathophysiology of functional neurological disorder.Brain communications · 2025Article
- Structure-function coupling in macroscale human brain networks.Nature reviews. Neuroscience · 2024Review
- Open datasets and code for multi-scale relations on structure, function and neuro-genetics in the human brain.Scientific data · 2024Article
- CoCoNest: A continuous structural connectivity-based nested family of parcellations of the human cerebral cortex.Network neuroscience (Cambridge, Mass.) · 2024Article
- Creativity at rest: Exploring functional network connectivity of creative experts.Network neuroscience (Cambridge, Mass.) · 2023Article
- High-order functional redundancy in ageing explained via alterations in the connectome in a whole-brain model.PLoS computational biology · 2022Article
- Predicting brain structural network using functional connectivity.Medical image analysis · 2022Article
- Amyloid-β and tau pathologies relate to distinctive brain dysconnectomics in preclinical autosomal-dominant Alzheimer's disease.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- The structure of anticorrelated networks in the human brain.Frontiers in network physiology · 2022Article
- Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis.Frontiers in neuroscience · 2022Article
- Individual-based morphological brain network organization and its association with autistic symptoms in young children with autism spectrum disorder.Human brain mapping · 2021Article
- Complexity Analysis of the Default Mode Network Using Resting-State fMRI in Down Syndrome: Relationships Highlighted by a Neuropsychological Assessment.Brain sciences · 2021Article
- Integrating across neuroimaging modalities boosts prediction accuracy of cognitive ability.PLoS computational biology · 2021Article
- rest2vec: Vectorizing the resting-state functional connectome using graph embedding.NeuroImage · 2021Article
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Authors and funding
7 authors.
Funding
Abstract
Elucidating the intricate relationship between brain structure and function, both in healthy and pathological conditions, is a key challenge for modern neuroscience. Recent progress in neuroimaging has helped advance our understanding of this important issue, with diffusion images providing information about structural connectivity (SC) and functional magnetic resonance imaging shedding light on resting state functional connectivity (rsFC). Here, we adopt a systems approach, relying on modular hierarchical clustering, to study together SC and rsFC datasets gathered independently from healthy human subjects. Our novel approach allows us to find a common skeleton shared by structure and function from which a new, optimal, brain partition can be extracted. We describe the emerging common structure-function modules (SFMs) in detail and compare them with commonly employed anatomical or functional parcellations. Our results underline the strong correspondence between brain structure and resting-state dynamics as well as the emerging coherent organization of the human brain.
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