Näytä suppeat kuvailutiedot

dc.contributor.authorMäkelä, Sasu
dc.contributor.authorKujala, Jan
dc.contributor.authorSalmelin, Riitta
dc.date.accessioned2023-01-03T09:34:12Z
dc.date.available2023-01-03T09:34:12Z
dc.date.issued2022
dc.identifier.citationMäkelä, S., Kujala, J., & Salmelin, R. (2022). Removing ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts. <i>Frontiers in Neuroscience</i>, <i>16</i>, Article 974162. <a href="https://doi.org/10.3389/fnins.2022.974162" target="_blank">https://doi.org/10.3389/fnins.2022.974162</a>
dc.identifier.otherCONVID_164704737
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/84706
dc.description.abstractNaturalistic reading paradigms and stimuli consisting of long continuous texts are essential for characterizing the cortical basis of reading. Due to the highly dynamic nature of the reading process, electrophysiological brain imaging methods with high spatial and temporal resolution, such as magnetoencephalography (MEG), are ideal for tracking them. However, as electrophysiological recordings are sensitive to electromagnetic artifacts, data recorded during naturalistic reading is confounded by ocular artifacts. In this study, we evaluate two different pipelines for removing ocular artifacts from MEG data collected during continuous, naturalistic reading, with the focus on saccades and blinks. Both pipeline alternatives are based on blind source separation methods but differ fundamentally in their approach. The first alternative is a multi-part process, in which saccades are first extracted by applying Second-Order Blind Identification (SOBI) and, subsequently, FastICA is used to extract blinks. The other alternative uses a single powerful method, Adaptive Mixture ICA (AMICA), to remove all artifact types at once. The pipelines were tested, and their effects compared on MEG data recorded from 13 subjects in a naturalistic reading task where the subjects read texts with the length of multiple pages. Both pipelines performed well, extracting the artifacts in a single component per artifact type in most subjects. Signal power was reduced across the whole cortex in all studied frequency bands from 1 to 90 Hz, but especially in the frontal cortex and temporal pole. The results were largely similar for the two pipelines, with the exception that SOBI-FastICA reduced signal in the right frontal cortex in all studied frequency bands more than AMICA. However, there was considerable interindividual variation in the effects of the pipelines. As a holistic conclusion, we choose to recommend AMICA for removing artifacts from MEG data on naturalistic reading but note that the SOBI-FastICA pipeline has also various favorable characteristics.en
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherFrontiers Media SA
dc.relation.ispartofseriesFrontiers in Neuroscience
dc.rightsCC BY 4.0
dc.subject.othernaturalistic task
dc.subject.othereye movement
dc.subject.otherelectrophysiological recording
dc.subject.otherelectromagnetic brain mapping
dc.subject.otherindependent component analysis
dc.subject.otherreading
dc.subject.otherlanguage
dc.titleRemoving ocular artifacts from magnetoencephalographic data on naturalistic reading of continuous texts
dc.typeresearch article
dc.identifier.urnURN:NBN:fi:jyu-202301031063
dc.contributor.laitosPsykologian laitosfi
dc.contributor.laitosDepartment of Psychologyen
dc.contributor.oppiainePsykologiafi
dc.contributor.oppiainePsychologyen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.relation.issn1662-4548
dc.relation.volume16
dc.type.versionpublishedVersion
dc.rights.copyright© 2022 Mäkelä, Kujala and Salmelin.
dc.rights.accesslevelopenAccessfi
dc.type.publicationarticle
dc.subject.ysolukeminen
dc.subject.ysoaivotutkimus
dc.subject.ysoelektrofysiologia
dc.subject.ysoaivot
dc.subject.ysosilmänliikkeet
dc.subject.ysoMEG
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p11406
jyx.subject.urihttp://www.yso.fi/onto/yso/p23705
jyx.subject.urihttp://www.yso.fi/onto/yso/p7871
jyx.subject.urihttp://www.yso.fi/onto/yso/p7040
jyx.subject.urihttp://www.yso.fi/onto/yso/p23744
jyx.subject.urihttp://www.yso.fi/onto/yso/p3329
dc.rights.urlhttps://creativecommons.org/licenses/by/4.0/
dc.relation.doi10.3389/fnins.2022.974162
jyx.fundinginformationThis work was supported by Academy of Finland (grant number: 315553), Sigrid Jusélius Foundation, Magnus Ehrnrooth Foundation, The Finnish Cultural Foundation, and Emil Aaltonen Foundation.
dc.type.okmA1


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot

CC BY 4.0
Ellei muuten mainita, aineiston lisenssi on CC BY 4.0