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dc.contributor.authorReni, Gianluigi
dc.contributor.authorCoelli, Stefania
dc.contributor.authorBarbieri, Riccardo
dc.contributor.authorZucca, Claudio
dc.contributor.authorBianchi, Anna Maria
dc.date.accessioned2022-02-18T10:10:19Z
dc.date.available2022-02-18T10:10:19Z
dc.date.issued2018
dc.identifier.citationCoelli S., Barbieri R., Reni G., Zucca C., Bianchi A. M. , "EEG indices correlate with sustained attention performance in patients affected by diffuse axonal injury", MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, cilt.56, sa.6, ss.991-1001, 2018
dc.identifier.issn0140-0118
dc.identifier.othervv_1032021
dc.identifier.otherav_821d8e19-639d-4f15-8691-82a8f43b2297
dc.identifier.urihttp://hdl.handle.net/20.500.12627/178709
dc.identifier.urihttps://doi.org/10.1007/s11517-017-1744-5
dc.description.abstractThe aim of this study is to assess the ability of EEG-based indices in providing relevant information about cognitive engagement level during the execution of a clinical sustained attention (SA) test in healthy volunteers and DAI (diffused axonal injury)-affected patients. We computed three continuous power-based engagement indices (P (beta) /P (alpha) , 1/P (alpha) , and P (beta) / (P (alpha) + P (theta) )) from EEG recordings in a control group (n = 7) and seven DAI-affected patients executing a 10-min Conners' "not-X" continuous performance test (CPT). A correlation analysis was performed in order to investigate the existence of relations between the EEG metrics and behavioral parameters in both the populations. P (beta) /P (alpha) and 1/P (alpha) indices were found to be correlated with reaction times in both groups while P (beta) / (P (alpha) + P (theta) ) and P (beta) /P (alpha) also correlated with the errors rate for DAI patients. In line with previous studies, time course fluctuations revealed a first strong decrease of attention after 2 min from the beginning of the test and a final fading at the end. Our results provide evidence that EEG-derived indices extraction and evaluation during SA tasks are helpful in the assessment of attention level in healthy subjects and DAI patients, offering motivations for including EEG monitoring in cognitive rehabilitation practice.
dc.language.isoeng
dc.subjectBilgisayar Bilimleri
dc.subjectBilgisayar Grafiği
dc.subjectYaşam Bilimleri
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.subjectHealth Informatics
dc.subjectBiochemistry (medical)
dc.subjectPhysical Sciences
dc.subjectHealth Sciences
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectBiyoinformatik
dc.subjectBİLGİSAYAR BİLİMİ, İNTERDİSİPLİNER UYGULAMALAR
dc.subjectBilgisayar Bilimi
dc.subjectBiyomedikal Mühendisliği
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.subjectMühendislik
dc.subjectMATEMATİKSEL VE ​​BİLGİSAYAR BİYOLOJİSİ
dc.subjectBiyoloji ve Biyokimya
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectTIBBİ BİLİŞİM
dc.subjectKlinik Tıp
dc.subjectKlinik Tıp (MED)
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyoistatistik ve Tıp Bilişimi
dc.subjectBiyokimya
dc.titleEEG indices correlate with sustained attention performance in patients affected by diffuse axonal injury
dc.typeMakale
dc.relation.journalMEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
dc.contributor.departmentPolytechnic University of Milan , ,
dc.identifier.volume56
dc.identifier.issue6
dc.identifier.startpage991
dc.identifier.endpage1001
dc.contributor.firstauthorID3386284


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