Please use this identifier to cite or link to this item:
https://hdl.handle.net/1959.11/31774
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sarmukadam, Kimaya | en |
dc.contributor.author | Bitsika, Vicki | en |
dc.contributor.author | Sharpley, Christopher F | en |
dc.contributor.author | McMillan, Mary M E | en |
dc.contributor.author | Agnew, Linda L | en |
dc.date.accessioned | 2021-11-03T03:12:54Z | - |
dc.date.available | 2021-11-03T03:12:54Z | - |
dc.date.issued | 2020-04-06 | - |
dc.identifier.citation | Behavioural Brain Research, v.383, p. 1-10 | en |
dc.identifier.issn | 1872-7549 | en |
dc.identifier.issn | 0166-4328 | en |
dc.identifier.uri | https://hdl.handle.net/1959.11/31774 | - |
dc.description.abstract | Although EEG connectivity data are often used to build models of the association between overt behavioural signs of Autism Spectrum Disorder (ASD) and underlying brain connectivity indices, use of a large number of possible connectivity methods across studies has produced a fairly inconsistent set of results regarding this association. To explore the level of agreement between results from five commonly-used EEG connectivity models (i.e., Coherence, Weighted Phased Lag Index- Debiased, Phase Locking Value, Phase Slope Index, Granger Causality), a sample of 41 young males with ASD provided EEG data under eyes-opened and eyes-closed conditions. There were relatively few statistically significant and/or meaningful correlations between the results obtained from the five connectivity methods, arguing for a re-estimation of the methodology used in such studies so that specific connectivity methods may be matched to particular research questions regarding the links between neural connectivity and overt behaviour within this population. | en |
dc.language | en | en |
dc.publisher | Elsevier BV | en |
dc.relation.ispartof | Behavioural Brain Research | en |
dc.title | Comparing different EEG connectivity methods in young males with ASD | en |
dc.type | Journal Article | en |
dc.identifier.doi | 10.1016/j.bbr.2020.112482 | en |
local.contributor.firstname | Kimaya | en |
local.contributor.firstname | Vicki | en |
local.contributor.firstname | Christopher F | en |
local.contributor.firstname | Mary M E | en |
local.contributor.firstname | Linda L | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | School of Science and Technology | en |
local.profile.school | Faculty of Science, Agriculture, Business and Law | en |
local.profile.email | ksarmuk2@une.edu.au | en |
local.profile.email | vbitsik2@une.edu.au | en |
local.profile.email | csharpl3@une.edu.au | en |
local.profile.email | mrookle2@une.edu.au | en |
local.profile.email | lagnew2@une.edu.au | en |
local.output.category | C1 | en |
local.record.place | au | en |
local.record.institution | University of New England | en |
local.publisher.place | Netherlands | en |
local.identifier.runningnumber | 112482 | en |
local.format.startpage | 1 | en |
local.format.endpage | 10 | en |
local.identifier.scopusid | 85078673938 | en |
local.peerreviewed | Yes | en |
local.identifier.volume | 383 | en |
local.contributor.lastname | Sarmukadam | en |
local.contributor.lastname | Bitsika | en |
local.contributor.lastname | Sharpley | en |
local.contributor.lastname | McMillan | en |
local.contributor.lastname | Agnew | en |
dc.identifier.staff | une-id:ksarmuk2 | en |
dc.identifier.staff | une-id:vbitsik2 | en |
dc.identifier.staff | une-id:csharpl3 | en |
dc.identifier.staff | une-id:mrookle2 | en |
dc.identifier.staff | une-id:lagnew2 | en |
local.profile.orcid | 0000-0003-2518-6684 | en |
local.profile.orcid | 0000-0001-7922-4848 | en |
local.profile.orcid | 0000-0002-2336-3985 | en |
local.profile.orcid | 0000-0002-2803-0995 | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.profile.role | author | en |
local.identifier.unepublicationid | une:1959.11/31774 | en |
local.date.onlineversion | 2020-01-20 | - |
dc.identifier.academiclevel | Student | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
dc.identifier.academiclevel | Academic | en |
local.title.maintitle | Comparing different EEG connectivity methods in young males with ASD | en |
local.output.categorydescription | C1 Refereed Article in a Scholarly Journal | en |
local.search.author | Sarmukadam, Kimaya | en |
local.search.author | Bitsika, Vicki | en |
local.search.author | Sharpley, Christopher F | en |
local.search.author | McMillan, Mary M E | en |
local.search.author | Agnew, Linda L | en |
local.uneassociation | Yes | en |
local.atsiresearch | No | en |
local.sensitive.cultural | No | en |
local.identifier.wosid | 000526063900022 | en |
local.year.available | 2020 | en |
local.year.published | 2020 | en |
local.fileurl.closedpublished | https://rune.une.edu.au/web/retrieve/98fb0bdd-e9cc-4c3e-8d9d-04a1728657a9 | en |
local.subject.for2020 | 320903 Central nervous system | en |
local.subject.seo2020 | 200409 Mental health | en |
local.codeupdate.date | 2021-11-07T16:20:46.245 | en |
local.codeupdate.eperson | csharpl3@une.edu.au | en |
local.codeupdate.finalised | true | en |
local.original.for2020 | 320903 Central nervous system | en |
local.original.seo2020 | 200409 Mental health | en |
Appears in Collections: | Journal Article School of Science and Technology |
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