Dynamic functional connectivity and graph theory metrics in a rat model of temporal lobe epilepsy reveal a preference for brain states with a lower functional connectivity, segregation and integration
- Author
- Emma Christiaen (UGent) , Marie-Gabrielle Goossens, Benedicte Descamps (UGent) , Robrecht Raedt (UGent) and Christian Vanhove (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8653353
- MLA
- Christiaen, Emma, et al. “Dynamic Functional Connectivity and Graph Theory Metrics in a Rat Model of Temporal Lobe Epilepsy Reveal a Preference for Brain States with a Lower Functional Connectivity, Segregation and Integration.” ISMRM Benelux Chapter Meeting 2020, Abstracts, 2020.
- APA
- Christiaen, E., Goossens, M.-G., Descamps, B., Raedt, R., & Vanhove, C. (2020). Dynamic functional connectivity and graph theory metrics in a rat model of temporal lobe epilepsy reveal a preference for brain states with a lower functional connectivity, segregation and integration. ISMRM Benelux Chapter Meeting 2020, Abstracts. Presented at the ISMRM Benelux Chapter meeting 2020, Arnhem, the Netherlands.
- Chicago author-date
- Christiaen, Emma, Marie-Gabrielle Goossens, Benedicte Descamps, Robrecht Raedt, and Christian Vanhove. 2020. “Dynamic Functional Connectivity and Graph Theory Metrics in a Rat Model of Temporal Lobe Epilepsy Reveal a Preference for Brain States with a Lower Functional Connectivity, Segregation and Integration.” In ISMRM Benelux Chapter Meeting 2020, Abstracts.
- Chicago author-date (all authors)
- Christiaen, Emma, Marie-Gabrielle Goossens, Benedicte Descamps, Robrecht Raedt, and Christian Vanhove. 2020. “Dynamic Functional Connectivity and Graph Theory Metrics in a Rat Model of Temporal Lobe Epilepsy Reveal a Preference for Brain States with a Lower Functional Connectivity, Segregation and Integration.” In ISMRM Benelux Chapter Meeting 2020, Abstracts.
- Vancouver
- 1.Christiaen E, Goossens M-G, Descamps B, Raedt R, Vanhove C. Dynamic functional connectivity and graph theory metrics in a rat model of temporal lobe epilepsy reveal a preference for brain states with a lower functional connectivity, segregation and integration. In: ISMRM Benelux Chapter meeting 2020, Abstracts. 2020.
- IEEE
- [1]E. Christiaen, M.-G. Goossens, B. Descamps, R. Raedt, and C. Vanhove, “Dynamic functional connectivity and graph theory metrics in a rat model of temporal lobe epilepsy reveal a preference for brain states with a lower functional connectivity, segregation and integration,” in ISMRM Benelux Chapter meeting 2020, Abstracts, Arnhem, the Netherlands, 2020.
@inproceedings{8653353,
author = {{Christiaen, Emma and Goossens, Marie-Gabrielle and Descamps, Benedicte and Raedt, Robrecht and Vanhove, Christian}},
booktitle = {{ISMRM Benelux Chapter meeting 2020, Abstracts}},
language = {{eng}},
location = {{Arnhem, the Netherlands}},
pages = {{2}},
title = {{Dynamic functional connectivity and graph theory metrics in a rat model of temporal lobe epilepsy reveal a preference for brain states with a lower functional connectivity, segregation and integration}},
url = {{https://www.ismrm-benelux.org/annual-meetings/meeting-2020/}},
year = {{2020}},
}