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dc.contributor.authorZoefel, Benedikt
dc.contributor.authorDavis, Matt
dc.contributor.authorValente, Giancarlo
dc.contributor.authorRiecke, Lars
dc.date.accessioned2019-09-16T23:30:29Z
dc.date.available2019-09-16T23:30:29Z
dc.date.issued2019-11-15
dc.identifier.issn1053-8119
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/296865
dc.description.abstractResearch on whether perception or other processes depend on the phase of neural oscillations is rapidly gaining popularity. However, it is unknown which methods are optimally suited to evaluate the hypothesized phase effect. Using a simulation approach, we here test the ability of different methods to detect such an effect on dichotomous (e.g., "hit" vs "miss") and continuous (e.g., scalp potentials) response variables. We manipulated parameters that characterise the phase effect or define the experimental approach to test for this effect. For each parameter combination and response variable, we identified an optimal method. We found that methods regressing single-trial responses on circular (sine and cosine) predictors perform best for all of the simulated parameters, regardless of the nature of the response variable (dichotomous or continuous). In sum, our study lays a foundation for optimized experimental designs and analyses in future studies investigating the role of phase for neural and behavioural responses. We provide MATLAB code for the statistical methods tested.
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherElsevier BV
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectBrain
dc.subjectNeurons
dc.subjectHumans
dc.subjectElectroencephalography
dc.subjectMagnetoencephalography
dc.subjectData Interpretation, Statistical
dc.subjectPerception
dc.subjectModels, Neurological
dc.subjectComputer Simulation
dc.subjectTranscranial Direct Current Stimulation
dc.titleHow to test for phasic modulation of neural and behavioural responses.
dc.typeArticle
prism.publicationDate2019
prism.publicationNameNeuroimage
prism.startingPage116175
prism.volume202
dc.identifier.doi10.17863/CAM.43907
dcterms.dateAccepted2019-09-05
rioxxterms.versionofrecord10.1016/j.neuroimage.2019.116175
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2019-11
dc.contributor.orcidDavis, Matt [0000-0003-2239-0778]
dc.identifier.eissn1095-9572
rioxxterms.typeJournal Article/Review
pubs.funder-project-idMRC (unknown)
pubs.funder-project-idEuropean Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (743482)
pubs.funder-project-idMedical Research Council (MC_UU_00005/5)
cam.issuedOnline2019-09-05
cam.orpheus.successThu Jan 30 10:39:04 GMT 2020 - Embargo updated
rioxxterms.freetoread.startdate2100-01-01


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International