Low entropy map of brain oscillatory activity identifies spatially localized events
Mostra el registre complet Registre parcial de l'ítem
- dc.contributor.author Vila-Vidal, Manel, 1991-
- dc.contributor.author Pérez-Enríquez, Carmen
- dc.contributor.author Principe, Alessandro
- dc.contributor.author Rocamora, Rodrigo
- dc.contributor.author Deco, Gustavo
- dc.contributor.author Tauste Campo, Adrià, 1982-
- dc.date.accessioned 2020-02-19T15:49:22Z
- dc.date.available 2020-02-19T15:49:22Z
- dc.date.issued 2020
- dc.description.abstract The spatial mapping of localized events in brain activity critically depends on the correct identification of the pattern signatures associated with those events. For instance, in the context of epilepsy research, a number of different electrophysiological patterns have been associated with epileptogenic activity. Motivated by the need to define automated seizure focus detectors, we propose a novel data-driven algorithm for the spatial identification of localized events that is based on the following rationale: the distribution of emerging oscillations during confined events across all recording sites is highly non-uniform and can be mapped using a spatial entropy function. By applying this principle to EEG recording obtained from 67 distinct seizure epochs, our method successfully identified the seizure focus on a group of ten drug-resistant temporal lobe epilepsy patients (average sensitivity: 0.94, average specificity: 0.90) together with its characteristic electrophysiological pattern signature. Cross-validation of the method outputs with postresective information revealed the consistency of our findings in long follow-up seizure-free patients. Overall, our methodology provides a reliable computational procedure that might be used as in both experimental and clinical domains to identify the neural populations undergoing an emerging functional or pathological transition.
- dc.description.sponsorship M.V was supported by a fellowship from ”la Caixa” Foundation, Spain (ID 100010434, fellowship code LCF/BQ/DE17/11600022). G.D. was supported by the Spanish Ministry of Economy and Competitiveness, Spain (grant agreement number PSI2016-75688-P, MINECO/AEI/FEDER-EU); European Union’s Horizon 2020 FET Flagship Human Brain Project (grant agreement number 785907, HBP SGA2); the Catalan Agency for Management of University and Research Grants, Spain (grant agreement number 2017 SGR 1545), and the Swiss National Science Foundation, Switzerland (grant agreement number CRSII5_170873).
- dc.format.mimetype application/pdf
- dc.identifier.citation Vila-Vidal M, Pérez Enríquez C, Principe A, Rocamora R, Deco G, Tauste Campo A. Low entropy map of brain oscillatory activity identifies spatially localized events. Neuroimage. 2020 Mar;208:116410. DOI: 10.1016/j.neuroimage.2019.116410
- dc.identifier.doi http://dx.doi.org/10.1016/j.neuroimage.2019.116410
- dc.identifier.issn 1053-8119
- dc.identifier.uri http://hdl.handle.net/10230/43657
- dc.language.iso eng
- dc.publisher Elsevier
- dc.relation.ispartof Neuroimage. 2020 Mar;208:116410
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/785907
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/PSI2016-75688-P
- dc.rights © 2019 Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). NeuroImage 208 (2020) 116410
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0/
- dc.subject.keyword Seizure onset zone
- dc.subject.keyword Intracranial EEG
- dc.subject.keyword Time-frequency analysis
- dc.subject.keyword Automated detection algorithms
- dc.subject.keyword Post-operative outcome
- dc.title Low entropy map of brain oscillatory activity identifies spatially localized events
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/publishedVersion