The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Combining structural and functional neuroimaging data for studying brain connectivity: A review
Abstract
Different brain areas are thought to be integrated into large‐scale networks to support cognitive function. Recent approaches for investigating structural organization and functional coordination within these networks involve measures of connectivity among brain areas. We review studies combining in vivo structural and functional brain connectivity data, where (a) structural connectivity analysis, mostly based on diffusion tensor imaging is paired with voxel‐wise analysis of functional neuroimaging data or (b) the measurement of functional connectivity based on covariance analysis is guided/aided by structural connectivity data. These studies provide insights into the relationships between brain structure and function. Promising trends involve (a) studies where both functional and anatomical connectivity data are collected using high‐resolution neuroimaging methods and (b) the development of advanced quantitative models of integration.
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A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data
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An investigation of functional and anatomical connectivity using magnetic resonance imaging
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Cited by
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307
Imaging structural co-variance between human brain regions
Alexander-Bloch, A., Giedd, J. N., & Bullmore, E. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3465 · Cited by 1,064
Networks of anatomical covariance
Evans, A. C. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.054 · Cited by 429
A review of multivariate methods for multimodal fusion of brain imaging data
Sui, J., Adali, T., Yu, Q., Chen, J., & Calhoun, V. D. (2012) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2011.10.031 · Cited by 401
Potential adverse effects of amphetamine treatment on brain and behavior: a review
Berman, S. M., Kuczenski, R., McCracken, J. T., & London, E. D. (2009) · Molecular Psychiatry · doi:10.1038/mp.2008.90 · Cited by 261
Metadata
- Authors
- Rykhlevskaia, E., Gratton, G., & Fabiani, M.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 2007-11-08
- Volume
- 45
- Issue
- 2
- Pages
- 173-187
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2108878896
- Cited by
- 188
- References
- 9
- FWCI
- 4.18
- Type
- journal article
- Language
- en
- Open access
- closed
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- Rykhlevskaia, E., Gratton, G., & Fabiani, M. (2008). Combining structural and functional neuroimaging data for studying brain connectivity: A review. Psychophysiology. https://doi.org/10.1111/j.1469-8986.2007.00621.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
