Modeling cortical source dynamics and interactions during seizure

Tim Mullen, Zeynep Akalin Acar, Gregory Alan Worrell, Scott Makeig

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Mapping the dynamics and spatial topography of brain source processes critically involved in initiating and propagating seizure activity is critical for effective epilepsy diagnosis, intervention, and treatment. In this report we analyze neuronal dynamics before and during epileptic seizures using adaptive multivariate autoregressive (VAR) models applied to maximally-independent (ICA) sources of intracranial EEG (iEEG, ECoG) data recorded from subdural electrodes implanted in a human patient for evaluation of surgery for epilepsy. We visualize the spatial distribution of causal sources and sinks of ictal activity on the cortical surface (gyral and sulcal) using a novel combination of multivariate Granger-causal and graph-theoretic metrics combined with distributed source localization by Sparse Bayesian Learning applied to a multi-scale patch basis. This analysis reveals and visualizes distinct, seizure stage-dependent shifts in inter-component spatiotemporal dynamics and connectivity including the clinically-identified epileptic foci.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Pages1411-1414
Number of pages4
DOIs
StatePublished - 2011
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

Fingerprint

Epilepsy
Seizures
Implanted Electrodes
Independent component analysis
Electroencephalography
Surgery
Topography
Spatial distribution
Brain
Stroke
Learning
Electrodes
Therapeutics
Electrocorticography

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Biomedical Engineering
  • Health Informatics

Cite this

Mullen, T., Acar, Z. A., Worrell, G. A., & Makeig, S. (2011). Modeling cortical source dynamics and interactions during seizure. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 1411-1414). [6090332] https://doi.org/10.1109/IEMBS.2011.6090332

Modeling cortical source dynamics and interactions during seizure. / Mullen, Tim; Acar, Zeynep Akalin; Worrell, Gregory Alan; Makeig, Scott.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 1411-1414 6090332.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mullen, T, Acar, ZA, Worrell, GA & Makeig, S 2011, Modeling cortical source dynamics and interactions during seizure. in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS., 6090332, pp. 1411-1414, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6090332
Mullen T, Acar ZA, Worrell GA, Makeig S. Modeling cortical source dynamics and interactions during seizure. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. p. 1411-1414. 6090332 https://doi.org/10.1109/IEMBS.2011.6090332
Mullen, Tim ; Acar, Zeynep Akalin ; Worrell, Gregory Alan ; Makeig, Scott. / Modeling cortical source dynamics and interactions during seizure. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 2011. pp. 1411-1414
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