ArticleScientific reports2018
Function-specific and Enhanced Brain Structural Connectivity Mapping via Joint Modeling of Diffusion and Functional MRI.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Connectome-guided resection of deep-seated brain tumors using tubular retractors: matched cohort outcomes and exploratory quantitative tractometry.Journal of neuro-oncology · 2026Article
- The network architecture of general intelligence in the human connectome.Nature communications · 2026Article
- DFC-Igloo: A dynamic functional connectome learning framework for identifying neurodevelopmental biomarkers in very preterm infants.Computer methods and programs in biomedicine · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.bioRxiv : the preprint server for biology · 2024Article
- Discovering prominent differences in structural and functional connectomes using a multinomial stochastic block model.Network neuroscience (Cambridge, Mass.) · 2024Article
- A spatially constrained independent component analysis jointly informed by structural and functional network connectivity.Network neuroscience (Cambridge, Mass.) · 2024Article
- Sparse Deep Neural Network for Encoding and Decoding the Structural Connectome.IEEE journal of translational engineering in health and medicine · 2024Article
- End-stage renal disease accompanied by mild cognitive impairment: A study and analysis of trimodal brain network fusion.PloS one · 2024Article
- Joint connectivity matrix independent component analysis: Auto-linking of structural and functional connectivities.Human brain mapping · 2023Article
- Review
- Bundle myelin fraction (BMF) mapping of different white matter connections using microstructure informed tractography.NeuroImage · 2022Article
- Uncovering Cortical Units of Processing From Multi-Layered Connectomes.Frontiers in neuroscience · 2022Article
- Topological Aberrance of Structural Brain Network Provides Quantitative Substrates of Post-Traumatic Brain Injury Attention Deficits in Children.Brain connectivity · 2021Article
- Effect of SSRIs on Resting-State Functional Brain Networks in Adolescents with Major Depressive Disorder.Journal of clinical medicine · 2021Article
- Heritability and interindividual variability of regional structure-function coupling.Nature communications · 2021Article
- A graph neural network framework for causal inference in brain networks.Scientific reports · 2021Article
- Brain Connectivity Studies on Structure-Function Relationships: A Short Survey with an Emphasis on Machine Learning.Computational intelligence and neuroscience · 2021Review
- Longitudinal increases in structural connectome segregation and functional connectome integration are associated with better recovery after mild TBI.Human brain mapping · 2019Article
- Ranking Regions, Edges and Classifying Tasks in Functional Brain Graphs by Sub-Graph Entropy.Scientific reports · 2019Article
- Informational Structures and Informational Fields as a Prototype for the Description of Postulates of the Integrated Information Theory.Entropy (Basel, Switzerland) · 2019Article
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3 authors.
Funding
Abstract
A joint structural-functional brain network model is presented, which enables the discovery of function-specific brain circuits, and recovers structural connections that are under-estimated by diffusion MRI (dMRI). Incorporating information from functional MRI (fMRI) into diffusion MRI to estimate brain circuits is a challenging task. Usually, seed regions for tractography are selected from fMRI activation maps to extract the white matter pathways of interest. The proposed method jointly analyzes whole brain dMRI and fMRI data, allowing the estimation of complete function-specific structural networks instead of interactively investigating the connectivity of individual cortical/sub-cortical areas. Additionally, tractography techniques are prone to limitations, which can result in erroneous pathways. The proposed framework explicitly models the interactions between structural and functional connectivity measures thereby improving anatomical circuit estimation. Results on Human Connectome Project (HCP) data demonstrate the benefits of the approach by successfully identifying function-specific anatomical circuits, such as the language and resting-state networks. In contrast to correlation-based or independent component analysis (ICA) functional connectivity mapping, detailed anatomical connectivity patterns are revealed for each functional module. Results on a phantom (Fibercup) also indicate improvements in structural connectivity mapping by rejecting false-positive connections with insufficient support from fMRI, and enhancing under-estimated connectivity with strong functional correlation.
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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.