{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T15:32:18Z","timestamp":1772724738871,"version":"3.50.1"},"reference-count":47,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T00:00:00Z","timestamp":1707177600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Minist\u00e8re de la D\u00e9fense (France)","award":["07co805"],"award-info":[{"award-number":["07co805"]}]},{"name":"Agence de l\u2019Innovation pour la D\u00e9fense","award":["07co805"],"award-info":[{"award-number":["07co805"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Postural control characteristics have been proposed as a predictor of Motion Sickness (MS). However, postural adaptation to sensory environment changes may also be critical for MS susceptibility. In order to address this issue, a postural paradigm was used where accurate orientation information from body sensors could be lost and restored, allowing us to infer sensory re-weighting dynamics from postural oscillation spectra in relation to car-sickness susceptibility. Seventy-one participants were standing on a platform (eyes closed) alternating from static phases (proprioceptive and vestibular sensors providing reliable orientation cues) to sway referenced to the ankle-angle phases (proprioceptive sensors providing unreliable orientation cues). The power spectrum density (PSD) on a 10 s sliding window was computed from the antero-posterior displacement of the center of pressure. Energy ratios (ERs) between the high (0.7\u20131.3 Hz) and low (0.1\u20130.7 Hz) frequency bands of these PSDs were computed on key time windows. Results showed no difference between MS and non-MS participants following loss of relevant ankle proprioception. However, the reintroduction of reliable ankle signals led, for the non-MS participants, to an increase of the ER originating from a previously up-weighted vestibular information during the sway-referenced situation. This suggests inter-individual differences in re-weighting dynamics in relation to car-sickness susceptibility.<\/jats:p>","DOI":"10.3390\/s24041046","type":"journal-article","created":{"date-parts":[[2024,2,6]],"date-time":"2024-02-06T03:22:31Z","timestamp":1707189751000},"page":"1046","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Relationship between Car-Sickness Susceptibility and Postural Activity: Could the Re-Weighting Strategy between Signals from Different Body Sensors Be an Underlying Factor?"],"prefix":"10.3390","volume":"24","author":[{"given":"Merrick","family":"Dida","sequence":"first","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, Universit\u00e9 Savoie Mont Blanc, CNRS LPNC UMR 5105, 73000 Grenoble, France"}]},{"given":"Michel","family":"Guerraz","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, Universit\u00e9 Savoie Mont Blanc, CNRS LPNC UMR 5105, 73000 Grenoble, France"}]},{"given":"Pierre-Alain","family":"Barraud","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, CNRS, CHU Grenoble-Alpes, Grenoble INP, TIMC-IMAG, 38041 Grenoble, France"}]},{"given":"Corinne","family":"Cian","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Grenoble Alpes, Universit\u00e9 Savoie Mont Blanc, CNRS LPNC UMR 5105, 73000 Grenoble, France"},{"name":"Institut de Recherche Biom\u00e9dicale des Arm\u00e9es, 91223 Br\u00e9tigny sur Orge, France"}]}],"member":"1968","published-online":{"date-parts":[[2024,2,6]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Laboissi\u00e8re, R., Letievant, J.C., Ionescu, E., Barraud, P.A., Mazzuca, M., and Cian, C. 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