Qawi K. Telesford, Ph.D.
Affiliations: | 2013 | Biomedical Engineering | Wake Forest University, Winston-Salem, NC, United States |
Area:
aging, caffeine, multisensoryGoogle:
"Qawi Telesford"Mean distance: 16.4 (cluster 53) | S | N | B | C | P |
Parents
Sign in to add mentor| Paul J. Laurienti | grad student | 2013 | Wake Forest | |
| (Network theory analysis of ethanol self-administering nonhuman primates.) | ||||
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Publications
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| Yang Z, Telesford QK, Franco AR, et al. (2020) Measurement Reliability for Individual Differences in Multilayer Network Dynamics: Cautions and Considerations. Neuroimage. 117489 |
| Nentwich M, Ai L, Madsen J, et al. (2020) Functional connectivity of EEG is subject-specific, associated with phenotype, and different from fMRI. Neuroimage. 117001 |
| Yang Z, Telesford QK, Franco AR, et al. (2019) Concerns regarding the prediction of behavioral measures from multilayer network switching. Proceedings of the National Academy of Sciences of the United States of America |
| Ashourvan A, Telesford QK, Verstynen T, et al. (2019) Multi-scale detection of hierarchical community architecture in structural and functional brain networks. Plos One. 14: e0215520 |
| Sperry MM, Telesford QK, Klimm F, et al. (2017) Rentian scaling for the measurement of optimal embedding of complex networks into physical space. Journal of Complex Networks. 5: 199-218 |
| Telesford QK, Ashourvan A, Wymbs NF, et al. (2017) Cohesive network reconfiguration accompanies extended training. Human Brain Mapping |
| Zhang Z, Telesford QK, Giusti C, et al. (2016) Choosing Wavelet Methods, Filters, and Lengths for Functional Brain Network Construction. Plos One. 11: e0157243 |
| Telesford QK, Lynall ME, Vettel J, et al. (2016) Detection of functional brain network reconfiguration during task-driven cognitive states. Neuroimage |
| Gu S, Pasqualetti F, Cieslak M, et al. (2015) Controllability of structural brain networks. Nature Communications. 6: 8414 |
| Telesford QK, Simpson SL, Kolaczyk ED. (2015) Editorial: Complexity and emergence in brain network analyses. Frontiers in Computational Neuroscience. 9: 65 |