Analysing concurrent transcranial magnetic stimulation and electroencephalographic data

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en Rogasch, Nigel C. Sullivan, Caley Thomson, Richard H. Rose, Nathan S. Bailey, Neil W. Fitzgerald, Paul B. Farzan, Faranak Hernandez-Pavon, Julio C. 2017-01-19T11:16:12Z 2017-02
dc.identifier.citation Rogasch , N C , Sullivan , C , Thomson , R H , Rose , N S , Bailey , N W , Fitzgerald , P B , Farzan , F & Hernandez-Pavon , J C 2016 , ' Analysing concurrent transcranial magnetic stimulation and electroencephalographic data : A review and introduction to the open-source TESA software ' NeuroImage . DOI: 10.1016/j.neuroimage.2016.10.031 en
dc.identifier.issn 1053-8119
dc.identifier.issn 1095-9572
dc.identifier.other PURE UUID: e9daff99-8006-4251-9e8a-6a1baa710815
dc.identifier.other PURE ITEMURL:
dc.identifier.other PURE LINK:
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dc.description.abstract The concurrent use of transcranial magnetic stimulation with electroencephalography (TMS–EEG) is growing in popularity as a method for assessing various cortical properties such as excitability, oscillations and connectivity. However, this combination of methods is technically challenging, resulting in artifacts both during recording and following typical EEG analysis methods, which can distort the underlying neural signal. In this article, we review the causes of artifacts in EEG recordings resulting from TMS, as well as artifacts introduced during analysis (e.g. as the result of filtering over high-frequency, large amplitude artifacts). We then discuss methods for removing artifacts, and ways of designing pipelines to minimise analysis-related artifacts. Finally, we introduce the TMS–EEG signal analyser (TESA), an open-source extension for EEGLAB, which includes functions that are specific for TMS–EEG analysis, such as removing and interpolating the TMS pulse artifact, removing and minimising TMS-evoked muscle activity, and analysing TMS-evoked potentials. The aims of TESA are to provide users with easy access to current TMS–EEG analysis methods and to encourage direct comparisons of these methods and pipelines. It is hoped that providing open-source functions will aid in both improving and standardising analysis across the field of TMS–EEG research. en
dc.format.mimetype application/pdf
dc.language.iso en en
dc.relation.ispartofseries NeuroImage en
dc.rights openAccess en
dc.subject.other Neurology en
dc.subject.other Cognitive Neuroscience en
dc.subject.other 3112 Neurosciences en
dc.title Analysing concurrent transcranial magnetic stimulation and electroencephalographic data en
dc.type A2 Katsausartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Monash University
dc.contributor.department University of Notre Dame
dc.contributor.department University of Toronto
dc.contributor.department Department of Neuroscience and Biomedical Engineering
dc.subject.keyword Artifacts
dc.subject.keyword EEGLAB
dc.subject.keyword Electroencephalography
dc.subject.keyword Transcranial magnetic stimulation
dc.subject.keyword Neurology
dc.subject.keyword Cognitive Neuroscience
dc.subject.keyword 3112 Neurosciences
dc.identifier.urn URN:NBN:fi:aalto-201701191314
dc.identifier.doi 10.1016/j.neuroimage.2016.10.031
dc.type.version proof

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