The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
The future of the human connectome
Open accessAbstract
The opportunity to explore the human connectome using cutting-edge neuroimaging methods has elicited widespread interest. How far will the field be able to progress in deciphering long-distance connectivity patterns and in relating differences in connectivity to phenotypic characteristics in health and disease? We discuss the daunting nature of this challenge in relation to specific complexities of brain circuitry and known limitations of in vivo imaging methods. We also discuss the excellent prospects for continuing improvements in data acquisition and analysis. Accordingly, we are optimistic that major insights will emerge from human connectomics in the coming decade.
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Cites
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Cited by
The Human Connectome Project: A data acquisition perspective
Van Essen, D. C., Ugurbil, K., Auerbach, E., Barch, D., Behrens, T. E. J., Bucholz, R., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.018 · Cited by 2,680
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A Weighted and Directed Interareal Connectivity Matrix for Macaque Cerebral Cortex
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Metadata
- Authors
- Van Essen, D. C., & Ugurbil, K.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2012-08
- Volume
- 62
- Issue
- 2
- Pages
- 1299-1310
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2079635207
- Cited by
- 192
- References
- 26
- FWCI
- 14.74
- Type
- journal article
- Language
- en
- Open access
- green
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