The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
Functional connectivity dynamically evolves on multiple time-scales over a static structural connectome: Models and mechanisms
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Citations
Cites
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
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Exploring the brain network: A review on resting-state fMRI functional connectivity
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Resting-State Functional Connectivity Reflects Structural Connectivity in the Default Mode Network
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Self-citationvan den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987 · cited 1×
“This approach allows for a direct comparison with the Structural Connectome defined over the same parcellation scheme (van den Heuvel et al., 2009) and has been particularly useful for the optimization and validation of resting-state models through the comparison with the simulated FC matrix (Honey…”
MethodInvestigating the electrophysiological basis of resting state networks using magnetoencephalography
Brookes, M. J., Woolrich, M., Luckhoo, H., Price, D., Hale, J. R., Stephenson, M. C., Barnes, G. R., Smith, S. M., & Morris, P. G. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1112685108 · Cited by 938 · cited 4×
“Such methods have only recently become available bringing insightful information for the investigation of resting-state FC occurring at faster time-scales (Brookes et al., 2011a, Brookes et al., 2011b, Hipp et al., 2012, Engel et al., 2013, Marzetti et al., 2013, Hipp and Siegel, 2015).”
BackgroundMethodInfluentialCholinergic induction of network oscillations at 40 Hz in the hippocampus in vitro
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On spurious and real fluctuations of dynamic functional connectivity during rest
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Time-resolved resting-state brain networks
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Self-citationTraining of Working Memory Impacts Structural Connectivity
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Human brain networks function in connectome-specific harmonic waves
Atasoy, S., Donnelly, I., & Pearson, J. (2016) · Nature Communications · doi:10.1038/ncomms10340 · Cited by 381 · cited 8×
“…can be interpreted from the perspective of meta-stable partial synchronization in complex networks. v. Connectome-specific harmonic waves Recently, Atasoy et al. (2016) demonstrated that the collective dynamics of human cortical activity at the macroscopic scale can be predicted by the…”
BackgroundMethodInfluentialExploring the network dynamics underlying brain activity during rest
Cabral, J., Kringelbach, M. L., & Deco, G. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2013.12.005 · Cited by 351
Self-citationMessé, A., Rudrauf, D., Benali, H., & Marrelec, G. (2014) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003530 · Cited by 215
Estimation of dynamic functional connectivity using multiplication of temporal derivatives
Shine, J. M., Koyejo, O., Bell, P. T., Gorgolewski, K. J., Gilat, M., & Poldrack, R. A. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.064 · Cited by 166
Direct electrophysiological measurement of human default network areas
Miller, K. J., Weaver, K. E., & Ojemann, J. G. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0902071106 · Cited by 149
Cited by
Cabral, J., Vidaurre, D., Marques, P., Magalhães, R., Silva Moreira, P., Miguel Soares, J., Deco, G., Sousa, N., & Kringelbach, M. L. (2017) · Scientific Reports · doi:10.1038/s41598-017-05425-7 · Cited by 386
Self-citationFrom maps to multi-dimensional network mechanisms of mental disorders
Braun, U., Schaefer, A., Betzel, R. F., Tost, H., Meyer-Lindenberg, A., & Bassett, D. S. (2018) · Neuron · doi:10.1016/j.neuron.2017.11.007 · Cited by 177
Revisiting the global workspace orchestrating the hierarchical organization of the human brain
Deco, G., Vidaurre, D., & Kringelbach, M. L. (2021) · Nature Human Behaviour · doi:10.1038/s41562-020-01003-6 · Cited by 162
Self-citationHarmonic brain modes: a unifying framework for linking space and time in brain dynamics
Atasoy, S., Deco, G., Kringelbach, M. L., & Pearson, J. (2018) · The Neuroscientist · doi:10.1177/1073858417728032 · Cited by 124
Self-citationBrief segments of neurophysiological activity enable individual differentiation
da Silva Castanheira, J., Orozco Perez, H. D., Misic, B., & Baillet, S. (2021) · Nature Communications · doi:10.1038/s41467-021-25895-8 · Cited by 101
Metadata
- Authors
- Cabral, J., Kringelbach, M. L., & Deco, G.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2017-10
- Volume
- 160
- Pages
- 84-96
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W2597410197
- Cited by
- 368
- References
- 27
- FWCI
- 15.89
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
