Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/117066
DC FieldValueLanguage
dc.contributorDepartment of Language Science and Technologyen_US
dc.creatorRumetshofer, Ten_US
dc.creatorLangensee, Len_US
dc.creatorLi, Pen_US
dc.creatorZhao, Jen_US
dc.creatorKippel, Aen_US
dc.creatorWennberg, Len_US
dc.creatorNilsson, Men_US
dc.creatorSundgren, PCen_US
dc.creatorGullberg, Men_US
dc.creatorMårtensson, Jen_US
dc.date.accessioned2026-01-30T03:14:05Z-
dc.date.available2026-01-30T03:14:05Z-
dc.identifier.urihttp://hdl.handle.net/10397/117066-
dc.language.isoenen_US
dc.publisherMIT Pressen_US
dc.subjectImmersionen_US
dc.subjectSecond language learningen_US
dc.subjectSensorimotor engagementen_US
dc.subjectUltra-high field MRIen_US
dc.subjectVirtual realityen_US
dc.subjectVoxel-based-morphometryen_US
dc.titleImpact of technological immersion and sensorimotor engagement on performance and brain plasticity in short-term second language vocabulary trainingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.doi10.1162/NOL.a.238en_US
dcterms.abstractClassroom-based language learning has typically taken place in relatively static body positions, but research suggests that embodied learning through sensorimotor engagement and technical immersion, using virtual realities, can significantly enhance learning outcomes. Recent research has linked differences in the learning context to different cortical structures within the language learning network. In this study, we investigated the effect of technical immersion and sensorimotor engagement on performance in behaviour and grey matter volume in the brain after a single 20-minute language learning task. We tested two learning environments: a low-embodied desktop-based virtual (dVE) environment using a computer screen and a high-embodied virtual reality (iVR) environment using a head-mounted display, as well as a no training group. We assessed morphological brain changes using Magnetic Resonance Imaging (MRI) at 7 Tesla before and after training. Participants with less sensorimotor engagement, compared to those with high, performed significantly better and showed higher grey matter volume in the left angular gyrus, a key hub region for vocabulary training within the language network, as well as in the left middle temporal gyrus, a region associated with lexical semantic processing. However, we could not identify a difference between the dVE and iVR groups. Our results suggest that both virtual platforms, although different in the level of immersion and whole-body involvement, rely on similar cortical structures within the language learning network. Further, sensorimotor engagement might have a stronger influence on performance and related brain changes than the learning context itself.en_US
dcterms.accessRightsembargoed accessen_US
dcterms.bibliographicCitationNeurobiology of language, January 23 2026, Online Early, https://doi.org/10.1162/NOL.a.238en_US
dcterms.isPartOfNeurobiology of languageen_US
dcterms.issued2026-
dc.identifier.eissn2641-4368en_US
dc.description.validate202601 bcchen_US
dc.description.oaNot applicableen_US
dc.identifier.FolderNumbera4297-
dc.identifier.SubFormID52554-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextGrants from the Swedish Research Council (dnr 2017-00896) and from the Marcus and Amalia Wallenberg Foundation (both awarded to Johan Mårtensson). Hong Kong Research Grants Council (Project #PolyU15610322) and the Sin Wai Kin Foundation (both awarded to Ping Li).en_US
dc.description.pubStatusEarly releaseen_US
dc.date.embargo0000-00-00 (to be updated)en_US
dc.description.oaCategoryCCen_US
Appears in Collections:Journal/Magazine Article
Open Access Information
Status embargoed access
Embargo End Date 0000-00-00 (to be updated)
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.