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dc.contributor.authorPrime, D
dc.contributor.authorWoolfe, M
dc.contributor.authorO'Keefe, S
dc.contributor.authorRowlands, D
dc.contributor.authorDionisio, S
dc.date.accessioned2020-05-07T00:57:31Z
dc.date.available2020-05-07T00:57:31Z
dc.date.issued2019
dc.identifier.issn1935-861X
dc.identifier.doi10.1016/j.brs.2018.12.349
dc.identifier.urihttp://hdl.handle.net/10072/393655
dc.description.abstractObjective: Stereo-EEG (SEEG) data is unique and highly variable, depending on anatomical structure and tissue type. There has been no comparison of metrics used to quantify network connectivity in response to Cortico-Cortical Evoked Potential (CCEP) stimulation. This study aimed to compare the performance of ten well studied dissimilarity measures upon a range of simulated cortical response patterns, to evaluate their suitability to infer brain connectivity using SEEG-CCEPs data.
dc.description.sponsorshipMater Health Services
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.relation.ispartofissue2
dc.relation.ispartofjournalBrain Stimulation
dc.relation.ispartofvolume12
dc.subject.fieldofresearchMedical and Health Sciences
dc.subject.fieldofresearchcode11
dc.titleDefining brain connectivity using time series similarity measures: An application to cortico-cortical evoked potentials
dc.typeJournal article
dc.type.descriptionC2 - Articles (Other)
dcterms.bibliographicCitationPrime, D; Woolfe, M; O'Keefe, S; Rowlands, D; Dionisio, S, Defining brain connectivity using time series similarity measures: An application to cortico-cortical evoked potentials, Brain Stimulation, 2019, 12 (2)
dc.date.updated2020-05-07T00:40:49Z
gro.hasfulltextNo Full Text
gro.griffith.authorO'Keefe, Steven G.


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