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dc.contributor.authorEdmunds, K J
dc.contributor.authorPetersen, H
dc.contributor.authorHassan, M
dc.contributor.authorYassine, S
dc.contributor.authorOlivieri, A
dc.contributor.authorBarollo, F
dc.contributor.authorFriðriksdóttir, R
dc.contributor.authorEdmunds, P
dc.contributor.authorGíslason, M K
dc.contributor.authorFratini, A
dc.contributor.authorGargiulo, P
dc.date.accessioned2019-05-29T10:45:28Z
dc.date.available2019-05-29T10:45:28Z
dc.date.issued2019-04
dc.date.submitted2019-05
dc.identifier.citationCortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation. 2019, 16(2):026037. doi: 10.1088/1741-2552/ab0678en_US
dc.identifier.issn1741-2552
dc.identifier.pmid30754028
dc.identifier.doi10.1088/1741-2552/ab0678
dc.identifier.urihttp://hdl.handle.net/2336/620916
dc.descriptionTo access publisher's full text version of this article click on the hyperlink belowen_US
dc.description.abstractMaintaining upright posture is a complex task governed by the integration of afferent sensorimotor and visual information with compensatory neuromuscular reactions. The objective of the present work was to characterize the visual dependency and functional dynamics of cortical activation during postural control. Proprioceptic vibratory stimulation of calf muscles at 85 Hz was performed to evoke postural perturbation in open-eye (OE) and closed-eye (CE) experimental trials, with pseudorandom binary stimulation phases divided into four segments of 16 stimuli. 64-channel EEG was recorded at 512 Hz, with perturbation epochs defined using bipolar electrodes placed proximal to each vibrator. Power spectra variation and linearity analysis was performed via fast Fourier transformation into six frequency bands (Δ, 0.5-3.5 Hz; θ, 3.5-7.5 Hz; α, 7.5-12.5 Hz; β, 12.5-30 Hz; [Formula: see text], 30-50 Hz; and [Formula: see text], 50-80 Hz). Finally, functional connectivity assessment was explored via network segregation and integration analyses. Spectra variation showed waveform and vision-dependent activation within cortical regions specific to both postural adaptation and habituation. Generalized spectral variation yielded significant shifts from low to high frequencies in CE adaptation trials, with overall activity suppressed in habituation; OE trials showed the opposite phenomenon, with both adaptation and habituation yielding increases in spectral power. Finally, our analysis of functional dynamics reveals novel cortical networks implicated in postural control using EEG source-space brain networks. In particular, our reported significant increase in local θ connectivity may signify the planning of corrective steps and/or the analysis of falling consequences, while α band network integration results reflect an inhibition of error detection within the cingulate cortex, likely due to habituation. Our findings principally suggest that specific cortical waveforms are dependent upon the availability of visual feedback, and we furthermore present the first evidence that local and global brain networks undergo characteristic modification during postural control.en_US
dc.description.sponsorshipInstitute for Biomedical and Neural Engineering at the University of Reykjavik Department of Anatomy at the University of Iceland Icelandic National Hospital (Landspitali Scientific Fund) Rannis Icelandic Research Fund (Rannsoknasjodur)en_US
dc.language.isoenen_US
dc.publisherInstitute of Physics Puben_US
dc.relation.urlhttps://iopscience.iop.org/article/10.1088/1741-2552/ab0678/metaen_US
dc.relation.urlhttps://arxiv.org/ftp/arxiv/papers/1902/1902.10455.pdfen_US
dc.subjectLíkamsstaðaen_US
dc.subjectHeilastarfsemien_US
dc.subject.meshCerebellar Cortexen_US
dc.subject.meshPostural Balanceen_US
dc.titleCortical recruitment and functional dynamics in postural control adaptation and habituation during vibratory proprioceptive stimulation.en_US
dc.typeArticleen_US
dc.contributor.department1 ] Reykjavik Univ, Inst Biomed & Neural Engn, Menntavegur 1, IS-101 Reykjavik, Iceland Show more [ 2 ] Univ Iceland, Dept Anat, Reykjavik, Iceland [ 3 ] Akureyri Hosp, Akureyri, Iceland Show more [ 4 ] Univ Rennes, LTSI U1099, F-35000 Rennes, France Show more [ 5 ] Univ Naples Federico II, Dept Elect Engn & Informat Tech, Naples, Italy Show more [ 6 ] Aston Univ, Sch Life & Hlth Sci, Birmingham, W Midlands, England [ 7 ] Landspitali, Dept Sci, Reykjavik, Icelanden_US
dc.identifier.journalJournal of neural engineeringen_US
dc.rights.accessOpen Access - Opinn aðganguren_US
dc.departmentcodeRES12
dc.source.journaltitleJournal of neural engineering


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