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Deep and surface hemodynamic signal from functional time resolved transcranial near infrared spectroscopy compared to skin flowmotion

dc.contributor.authorSpinelli, Lorenzo
dc.contributor.authorBaselli, Giuseppe
dc.contributor.authorCubeddu, Rinaldo
dc.contributor.authorAletti, Federico
dc.contributor.authorRe, Rebecca
dc.contributor.authorPace, Vincenzo
dc.contributor.authorContini, Davide
dc.contributor.authorMolteni, Erika
dc.contributor.authorCerutti, Sergio
dc.contributor.authorBianchi, Anna Maria
dc.contributor.authorTorricelli, Alessandro
dc.date.accessioned2022-02-18T09:39:11Z
dc.date.available2022-02-18T09:39:11Z
dc.date.issued2012
dc.identifier.citationAletti F., Re R., Pace V., Contini D., Molteni E., Cerutti S., Bianchi A. M. , Torricelli A., Spinelli L., Cubeddu R., et al., "Deep and surface hemodynamic signal from functional time resolved transcranial near infrared spectroscopy compared to skin flowmotion", COMPUTERS IN BIOLOGY AND MEDICINE, cilt.42, sa.3, ss.282-289, 2012
dc.identifier.issn0010-4825
dc.identifier.othervv_1032021
dc.identifier.otherav_504dae0d-0e5f-415a-b676-feea0df5ccb9
dc.identifier.urihttp://hdl.handle.net/20.500.12627/177664
dc.identifier.urihttps://doi.org/10.1016/j.compbiomed.2011.06.001
dc.description.abstractThe potential disturbance in the prefrontal cortex hemodynamic signal measured by functional near infrared spectroscopy (NIRS), due to forehead skin flowmotion, detected by laser Doppler flowmetry, was investigated by a standard protocol of hemodynamic challenge by Valsalva maneuver, aimed at assessing and disentangling local regulatory responses in skin vasomotion and in cerebral perfusion in presence of a strong systemic drive, and to quantify the common information in the two signals. The deep cortical NIRS signal did not appear to be affected by surface vasomotor activity, and autoregulation dynamics were dominant with respect to autonomic control of circulation. (C) 2011 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.subjectPhysical Sciences
dc.subjectHealth Sciences
dc.subjectBİYOLOJİ
dc.subjectBiyoloji ve Biyokimya
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectMATEMATİKSEL VE ​​BİLGİSAYAR BİYOLOJİSİ
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyokimya
dc.subjectTıbbi Biyoloji
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectBiyomedikal Mühendisliği
dc.subjectYaşam Bilimleri
dc.subjectBiyoinformatik
dc.subjectTemel Bilimler
dc.subjectMühendislik ve Teknoloji
dc.subjectGeneral Engineering
dc.subjectComputers in Earth Sciences
dc.subjectComputer Graphics and Computer-Aided Design
dc.subjectGeneral Computer Science
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectComputer Science (miscellaneous)
dc.subjectBioengineering
dc.subjectComputer Science Applications
dc.subjectBiochemistry (medical)
dc.titleDeep and surface hemodynamic signal from functional time resolved transcranial near infrared spectroscopy compared to skin flowmotion
dc.typeMakale
dc.relation.journalCOMPUTERS IN BIOLOGY AND MEDICINE
dc.contributor.departmentPolytechnic University of Milan , ,
dc.identifier.volume42
dc.identifier.issue3
dc.identifier.startpage282
dc.identifier.endpage289
dc.contributor.firstauthorID3379724


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