The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Beyond the Connectome: The Dynome
Open accessAbstract
The human connectome will provide a detailed mapping of the brain’s connectivity, with fundamental insights for health and disease. However, further understanding of brain function and dysfunction will require an integrated framework that links brain connectivity with brain dynamics, as well as the biological details that relates this connectivity more directly to function. In this Perspective, we describe such a framework for studying the brain’s “dynome” and its relationship to cognition.
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Citations
Cites
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Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
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Neuronal Oscillations in Cortical Networks
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Functional connectivity in the resting brain: a network analysis of the default mode hypothesis
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A mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284
Dynamic predictions: Oscillations and synchrony in top–down processing
Engel, A. K., Fries, P., & Singer, W. (2001) · Nature Reviews Neuroscience · doi:10.1038/35094565 · Cited by 3,454
Beta-band oscillations—Signalling the status quo?
Engel, A. K., & Fries, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.015 · Cited by 2,953
Mechanisms of Gamma Oscillations
Buzsáki, G., & Wang, X.-J. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150444 · Cited by 2,796
Driving fast-spiking cells induces gamma rhythm and controls sensory responses
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Top-Down Versus Bottom-Up Control of Attention in the Prefrontal and Posterior Parietal Cortices
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Cited by
Bassett, D. S., & Sporns, O. (2017) · Nature Neuroscience · doi:10.1038/nn.4502 · Cited by 2,398
The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery
Calhoun, V. D., Miller, R., Pearlson, G., & Adalı, T. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.015 · Cited by 1,378
Voytek, B., & Knight, R. T. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2015.04.016 · Cited by 556
On the stability of BOLD fMRI correlations
Laumann, T. O., Snyder, A. Z., Mitra, A., Gordon, E. M., Gratton, C., Adeyemo, B., Gilmore, A. W., Nelson, S. M., Berg, J. J., Greene, D. J., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw265 · Cited by 516
Kucyi, A., & Davis, K. D. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2014.11.006 · Cited by 587
Metadata
- Authors
- Kopell, N. J., Gritton, H. J., Whittington, M. A., & Kramer, M. A.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 83
- Issue
- 6
- Pages
- 1319-1328
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2019725905
- Cited by
- 323
- References
- 36
- FWCI
- 18.56
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Kopell, N. J., Gritton, H. J., Whittington, M. A., & Kramer, M. A. (2014). Beyond the Connectome: The Dynome. Neuron. https://doi.org/10.1016/j.neuron.2014.08.016
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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.