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dc.contributor.authorBianchi, Anna M.
dc.contributor.authorBarbieri, Riccardo
dc.contributor.authorCerutti, Sergio
dc.contributor.authorKuo, Braden
dc.contributor.authorNapadow, Vitaly
dc.contributor.authorSclocco, Roberta
dc.contributor.authorCiti, Luca
dc.contributor.authorGarcia, Ronald G.
dc.date.accessioned2022-02-18T09:04:40Z
dc.date.available2022-02-18T09:04:40Z
dc.identifier.citationSclocco R., Citi L., Garcia R. G. , Cerutti S., Bianchi A. M. , Kuo B., Napadow V., Barbieri R., "Combining sudomotor nerve impulse estimation with fMRI to investigate the central sympathetic response to nausea", 37th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Milan, İtalya, 25 - 29 Ağustos 2015, ss.4683-4686
dc.identifier.othervv_1032021
dc.identifier.otherav_15a44e8f-ec3c-4661-b277-23ef4daba26b
dc.identifier.urihttp://hdl.handle.net/20.500.12627/176445
dc.description.abstractThe skin conductance (SC) signal is one of the most important non-invasive indirect measures of autonomic outflow. Several mathematical models have been proposed in the literature to characterize specific SC features. In this work, we present a method for the estimation of central control of sudomotor nerve impulse (SMI) function using SC. The method is based on a differential formulation decomposed into two first order differential equations. We validate our estimation framework by applying it on an experimental protocol where eleven motion sickness-prone subjects were exposed to a nauseogenic visual stimulus while SC and fMRI signals were recorded. Our results show an expected significant increase in the mean amplitude of SMI peaks during the highest reported nausea, as well as a decreasing trend during recovery, which was not evident for skin conductance level. Importantly, SMI/fMRI analysis found a negative association between SMI and fMRI signal in orbitofrontal, dorsolateral prefrontal, and posterior insula cortices, consistent with previous studies correlating brain fMRI and microneurographic signals.
dc.language.isoeng
dc.subjectSinyal İşleme
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectSignal Processing
dc.subjectGeneral Engineering
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectElectrical and Electronic Engineering
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectPhysical Sciences
dc.subjectBioengineering
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.titleCombining sudomotor nerve impulse estimation with fMRI to investigate the central sympathetic response to nausea
dc.typeBildiri
dc.contributor.departmentPolytechnic University of Milan , ,
dc.contributor.firstauthorID3382816


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