The 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 (Pβ/Pα, 1/Pα, and Pβ/ (Pα+ Pθ)) 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. Pβ/Pαand 1/Pαindices were found to be correlated with reaction times in both groups while Pβ/ (Pα+ Pθ) and Pβ/Pαalso 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. [Figure not available: see fulltext.]

EEG indices correlate with sustained attention performance in patients affected by diffuse axonal injury

Coelli, Stefania;Barbieri, Riccardo;Bianchi, Anna Maria
2018

Abstract

The 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 (Pβ/Pα, 1/Pα, and Pβ/ (Pα+ Pθ)) 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. Pβ/Pαand 1/Pαindices were found to be correlated with reaction times in both groups while Pβ/ (Pα+ Pθ) and Pβ/Pαalso 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. [Figure not available: see fulltext.]
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
EEG; Engagement; Sustained attention; Traumatic brain injury; Biomedical Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/1045345
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