Mapping hybrid functional-structural connectivity traits in the human connectome

@article{Amico2018MappingHF,
  title={Mapping hybrid functional-structural connectivity traits in the human connectome},
  author={Enrico Amico and Joaqu{\'i}n Go{\~n}i},
  journal={Network Neuroscience},
  year={2018},
  volume={2},
  pages={306 - 322}
}
  • E. Amico, J. Goñi
  • Published 5 October 2017
  • Medicine, Mathematics, Computer Science, Biology
  • Network Neuroscience
One of the crucial questions in neuroscience is how a rich functional repertoire of brain states relates to its underlying structural organization. How to study the associations between these structural and functional layers is an open problem that involves novel conceptual ways of tackling this question. We here propose an extension of the Connectivity Independent Component Analysis (connICA) framework to identify joint structural-functional connectivity traits. Here, we extend connICA to… Expand
Regional structural-functional connectome coupling is heritable and associated with age, sex and cognitive scores in adults
Large scale white matter brain connections quantified via the structural connectome (SC) act as the backbone for the flow of functional activation, which can be represented via the functionalExpand
Distinct functional and structural connections predict crystallised and fluid cognition in healthy adults
TLDR
It is suggested that functional and structural connectivity have unique relationships with crystallised and fluid cognition and, furthermore, studying both modalities provides a more comprehensive insight into the neural correlates of cognition. Expand
Integrating multimodal connectivity improves prediction of individual cognitive abilities
TLDR
This work demonstrates that integrating functional and structural information – at both a model input or output level – significantly outperforms functional or structural connectivity alone to predict individual verbal/language skills and fluid reasoning/executive function. Expand
Heritability and interindividual variability of regional structure-function coupling
TLDR
It is shown that regional SC-FC coupling strength varies widely across brain regions, but was strongest in highly structurally connected visual and subcortical areas, and that SC- FC coupling was highly heritable within certain networks. Expand
Mapping higher-order relations between brain structure and function with embedded vector representations of connectomes
TLDR
The authors implement the word2vec algorithm for connectomes generating a vector embedding of the connectivity structure for each node allowing inference about functional relationships between brain regions and suggest that CE offers a novel approach to revealing relations between connectome structure and function. Expand
Individualized event structure drives individual differences in whole-brain functional connectivity
TLDR
A statistical test to identify events in empirical recordings is developed and it is shown that the patterns of cofluctuation expressed during events are repeated across multiple scans of the same individual and represent idiosyncratic variants of template patterns that are expressed at the group level. Expand
Adolescent development of multiscale structural wiring and functional interactions in the human connectome
TLDR
Longitudinal analyses assessing age-related changes in cortical wiring identified a continued differentiation of multiple cortico-cortical structural networks in youth, illustrating how structural wiring interacts with the maturation of macroscale functional hierarchies. Expand
Network communication models improve the behavioral and functional predictive utility of the human structural connectome
TLDR
It is concluded that network communication models can augment the functional and behavioral predictive utility of the human structural connectome and help recapitulate underlying neural signaling patterns. Expand
Network communication models improve the behavioral and functional predictive utility of the human structural connectome
TLDR
It is concluded that network communication models augment the functional and behavioral predictive utility of the human structural connectome and contribute to narrowing the gap between brain structure and function. Expand
A graph neural network framework for causal inference in brain networks
TLDR
The proposed multi-modal GNN framework can provide a novel perspective on the structure-function relationship in the brain and appears to be promising for the characterization of the information flow in brain networks. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 92 REFERENCES
The quest for identifiability in human functional connectomes
TLDR
This work uses data from the Human Connectome Project to demonstrate that the optimal reconstruction of the individual FCs through connectivity eigenmodes maximizes subject identifiability across resting-state and all seven tasks evaluated. Expand
Maximizing the individual fingerprints of human functional connectomes through decomposition into brain connectivity modes
TLDR
It is shown that the individual fingerprint of a human functional connectome can be maximized from a reconstruction procedure based on group-wise decomposition in a finite number of brain connectivity modes and extended to also map the most task-sensitive functional connections. Expand
Resting-brain functional connectivity predicted by analytic measures of network communication
TLDR
It is found that both search information and path transitivity predict the strength of functional connectivity among both connected and unconnected node pairs at levels that match or significantly exceed path length measures, Euclidean distance, as well as computational models of neural dynamics. Expand
The structural, connectomic and network covariance of the human brain
TLDR
It is found that, although region-to-region correlations are extensively modulated by structural and connectomic measures, there are appreciable differences in how these two groups of measures drive inter-regional correlation patterns. Expand
The human connectome: a complex network
  • O. Sporns
  • Computer Science, Medicine
  • Annals of the New York Academy of Sciences
  • 2011
TLDR
Current empirical efforts toward generating a network map of the human brain, the human connectome, are reviewed, and how the connectome can provide new insights into the organization of the brain's structural connections and their role in shaping functional dynamics are explored. Expand
Predicting human resting-state functional connectivity from structural connectivity
TLDR
Although resting state functional connectivity is variable and is frequently present between regions without direct structural linkage, its strength, persistence, and spatial statistics are nevertheless constrained by the large-scale anatomical structure of the human cerebral cortex. Expand
Mapping the functional connectome traits of levels of consciousness
TLDR
A novel data‐driven methodology, connICA, is presented, which implements Independent Component Analysis (ICA) for the extraction of robust independent FC patterns (FC‐traits) from a set of individual functional connectomes, without imposing any a priori data stratification into groups. Expand
Complex network measures of brain connectivity: Uses and interpretations
TLDR
Construction of brain networks from connectivity data is discussed and the most commonly used network measures of structural and functional connectivity are described, which variously detect functional integration and segregation, quantify centrality of individual brain regions or pathways, and test resilience of networks to insult. Expand
Network-Level Structure-Function Relationships in Human Neocortex
TLDR
A multivariate statistical technique is deployed to investigate the association between spatially extended structural networks and functional networks and finds multiple statistically robust patterns, reflecting reliable combinations of structural and functional subnetworks that are optimally associated with one another. Expand
Function in the human connectome: Task-fMRI and individual differences in behavior
TLDR
The logic and rationale behind the development of the behavioral, individual difference, and tfMRI batteries are described and preliminary data on the patterns of activation associated with each of the fMRI tasks are provided, at both group and individual levels. Expand
...
1
2
3
4
5
...