Can structure predict function in the human brain?
By Christopher J. Honey, Jean-Philippe Thivierge, Olaf Sporns. NeuroImage, 2010
647 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/9e46706f34914c650392447b018272f748ddee10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Olaf Sporns
- E. Bullmore
- Yong He
- D. Bassett
- Alan C. Evans
- Jinhui Wang
- Martijn P. van den Heuvel
- Andrew Zalesky
In Radiology, Nuclear Medicine and Imaging
- Olaf Sporns
- Yong He
- E. Bullmore
- Jinhui Wang
- Alan C. Evans
- D. Bassett
- Martijn P. van den Heuvel
- Andrew Zalesky
Citations in the corpus
- Network science of biological systems at different scales: A review. (2017, background): “[51] Honey CJ, Thivierge J-P, Sporns O.”
- Graph-Based Network Analysis of Resting-State Functional MRI (2010, positive): “Moreover, it provides a vital framework to elucidate the relationship between brain structure and function (Honey et al., 2010).”
- Linking Structure and Function in Macroscale Brain Networks. (2020, positive): “The persistent and reproducible nature of brain activity during rest makes resting-state FC an ideal starting point to study structure–function relationships [26,27].”
- The human connectome: Origins and challenges (2013, background): “This relationship has been intensively investigated in the area of human connectomics (reviewed in Honey et al., 2010).”
- A large-scale circuit mechanism for hierarchical dynamical processing in the primate cortex (2015, background): “Multiple studies find that the strength of an anatomical connection between areas (‘‘structural connectivity’’) partially predicts correlations in neurophysiological signals from those areas (functional connectivity), but there are significant differences (Hagmann et al., 2008; Honey et al., 2009; D”
- Aberrant Frontal and Temporal Complex Network Structure in Schizophrenia: A Graph Theoretical Analysis (2010, background): “Structural and functional connectivity are related (Hagmann et al., 2008; Van den Heuvel et al., 2008b, 2009; Greicius et al., 2009; Honey et al., 2009, 2010). and recent studies have suggested both aberrant functional as well as diminished structural connectivity of specific frontal and…”
- Network-Level Structure-Function Relationships in Human Neocortex (2016, background): “…emerging literature emphasizing the dynamic properties of functional connections on faster time scales (Allen et al. 2012; Tagliazucchi et al. 2012; Hutchison et al. 2013; Gonzalez-Castillo et al. 2014; 2015; Shen et al. 2015), and the dependence of these fluctuations on anatomical connectivity is…”
- Network-based statistic: Identifying differences in brain networks (2010, methodology): “The graph model has been used in neuroimaging research as a framework to test the structure-function hypothesis (Honey et al., 2009, 2010; Ramani et al., 2004; Skudlarski et al., 2008; Sporns et al., 2000) and as a methodological tool to examine brain network organization, topology and complex…”
- The structural-functional connectome and the default mode network of the human brain (2014, neutral): “However, only few studies have focused on the relationship between structural and functional brain connectivity (for reviews see Bassett and Bullmore, 2009; Damoiseaux and Greicius, 2009; Honey et al., 2010; Rykhlevskaia et al., 2008; Sporns, 2011).”
- Convergence and divergence of thickness correlations with diffusion connections across the human cerebral cortex (2012, background): “It has been frequently observed among cortical regions that can only be indirectly anatomically connected (Honey et al., 2009, 2010).”