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Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea)

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dc.contributor Landspitali - The National University Hospital of Iceland
dc.contributor.author Jacob, Deborah
dc.contributor.author Unnsteinsdóttir Kristensen, Ingunn S.
dc.contributor.author Aubonnet, Romain
dc.contributor.author Recenti, Marco
dc.contributor.author Donisi, Leandro
dc.contributor.author Ricciardi, Carlo
dc.contributor.author Svansson, Halldór Á.R.
dc.contributor.author Agnarsdóttir, Sólveig
dc.contributor.author Colacino, Andrea
dc.contributor.author Jónsdóttir, María K.
dc.contributor.author Kristjánsdóttir, Hafrún
dc.contributor.author Sigurjónsdóttir, Helga
dc.contributor.author Cesarelli, Mario
dc.contributor.author Eggertsdóttir Claessen, Lára Ósk
dc.contributor.author Hassan, Mahmoud
dc.contributor.author Petersen, Hannes
dc.contributor.author Gargiulo, Paolo
dc.date.accessioned 2022-09-21T01:01:49Z
dc.date.available 2022-09-21T01:01:49Z
dc.date.issued 2022-06
dc.identifier.citation Jacob , D , Unnsteinsdóttir Kristensen , I S , Aubonnet , R , Recenti , M , Donisi , L , Ricciardi , C , Svansson , H Á R , Agnarsdóttir , S , Colacino , A , Jónsdóttir , M K , Kristjánsdóttir , H , Sigurjónsdóttir , H , Cesarelli , M , Eggertsdóttir Claessen , L Ó , Hassan , M , Petersen , H & Gargiulo , P 2022 , ' Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea) ' , Scientific Reports , vol. 12 , no. 1 , 8996 . https://doi.org/10.1038/s41598-022-12822-0
dc.identifier.issn 2045-2322
dc.identifier.other PURE: 59707311
dc.identifier.other PURE UUID: ca1656ab-1b28-436d-b3ef-1e557bf054d1
dc.identifier.other Scopus: 85130908517
dc.identifier.uri https://hdl.handle.net/20.500.11815/3472
dc.description Publisher Copyright: © 2022, The Author(s).
dc.description.abstract Current diagnosis of concussion relies on self-reported symptoms and medical records rather than objective biomarkers. This work uses a novel measurement setup called BioVRSea to quantify concussion status. The paradigm is based on brain and muscle signals (EEG, EMG), heart rate and center of pressure (CoP) measurements during a postural control task triggered by a moving platform and a virtual reality environment. Measurements were performed on 54 professional athletes who self-reported their history of concussion or non-concussion. Both groups completed a concussion symptom scale (SCAT5) before the measurement. We analyzed biosignals and CoP parameters before and after the platform movements, to compare the net response of individual postural control. The results showed that BioVRSea discriminated between the concussion and non-concussion groups. Particularly, EEG power spectral density in delta and theta bands showed significant changes in the concussion group and right soleus median frequency from the EMG signal differentiated concussed individuals with balance problems from the other groups. Anterior–posterior CoP frequency-based parameters discriminated concussed individuals with balance problems. Finally, we used machine learning to classify concussion and non-concussion, demonstrating that combining SCAT5 and BioVRSea parameters gives an accuracy up to 95.5%. This study is a step towards quantitative assessment of concussion.
dc.language.iso en
dc.relation.ispartofseries Scientific Reports; 12(1)
dc.rights info:eu-repo/semantics/openAccess
dc.subject Bráðalæknisfræði
dc.subject Innkirtlalæknisfræði
dc.subject Sálfræði
dc.subject Vísindadeild
dc.subject Biomarkers
dc.subject Brain Concussion* / diagnosis
dc.subject Humans
dc.subject Virtual Reality*
dc.subject Athletes
dc.subject Athletic Injuries*
dc.subject Multidisciplinary
dc.title Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea)
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article
dc.description.version Peer reviewed
dc.identifier.pmid 35637235
dc.identifier.doi https://doi.org/10.1038/s41598-022-12822-0
dc.relation.url http://www.scopus.com/inward/record.url?scp=85130908517&partnerID=8YFLogxK
dc.contributor.department Department of Psychology
dc.contributor.department Mental Health Services
dc.contributor.department Department of Sport Science
dc.contributor.department Office of Division of Clinical Services I
dc.contributor.department Internal Medicine and Emergency Services
dc.contributor.department Faculty of Medicine
dc.contributor.department Department of Engineering
dc.contributor.department Other departments

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