Cargando…
A multimodal approach for the ecological investigation of sustained attention: A pilot study
Natural fluctuations in sustained attention can lead to attentional failures in everyday tasks and even dangerous incidences. These fluctuations depend on personal factors, as well as task characteristics. So far, our understanding of sustained attention is partly due to the common usage of laborato...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556703/ https://www.ncbi.nlm.nih.gov/pubmed/36248697 http://dx.doi.org/10.3389/fnhum.2022.971314 |
_version_ | 1784807125671739392 |
---|---|
author | Avirame, Keren Gshur, Noga Komemi, Reut Lipskaya-Velikovsky, Lena |
author_facet | Avirame, Keren Gshur, Noga Komemi, Reut Lipskaya-Velikovsky, Lena |
author_sort | Avirame, Keren |
collection | PubMed |
description | Natural fluctuations in sustained attention can lead to attentional failures in everyday tasks and even dangerous incidences. These fluctuations depend on personal factors, as well as task characteristics. So far, our understanding of sustained attention is partly due to the common usage of laboratory setups and tasks, and the complex interplay between behavior and brain activity. The focus of the current study was thus to test the feasibility of applying a single-channel wireless EEG to monitor patterns of sustained attention during a set of ecological tasks. An EEG marker of attention (BEI—Brain Engagement Index) was continuously recorded from 42 healthy volunteers during auditory and visual tasks from the Test of Everyday Attention (TEA) and Trail Making Test (TMT). We found a descending pattern of both performance and BEI in the auditory tasks as task complexity increases, while the increase in performance and decrease in BEI on the visual task. In addition, patterns of BEI in the complex tasks were used to detect outliers and the optimal range of attention through exploratory models. The current study supports the feasibility of combined electrophysiological and neurocognitive investigation of sustained attention in ecological tasks yielding unique insights on patterns of sustained attention as a function of task modality and task complexity. |
format | Online Article Text |
id | pubmed-9556703 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-95567032022-10-14 A multimodal approach for the ecological investigation of sustained attention: A pilot study Avirame, Keren Gshur, Noga Komemi, Reut Lipskaya-Velikovsky, Lena Front Hum Neurosci Neuroscience Natural fluctuations in sustained attention can lead to attentional failures in everyday tasks and even dangerous incidences. These fluctuations depend on personal factors, as well as task characteristics. So far, our understanding of sustained attention is partly due to the common usage of laboratory setups and tasks, and the complex interplay between behavior and brain activity. The focus of the current study was thus to test the feasibility of applying a single-channel wireless EEG to monitor patterns of sustained attention during a set of ecological tasks. An EEG marker of attention (BEI—Brain Engagement Index) was continuously recorded from 42 healthy volunteers during auditory and visual tasks from the Test of Everyday Attention (TEA) and Trail Making Test (TMT). We found a descending pattern of both performance and BEI in the auditory tasks as task complexity increases, while the increase in performance and decrease in BEI on the visual task. In addition, patterns of BEI in the complex tasks were used to detect outliers and the optimal range of attention through exploratory models. The current study supports the feasibility of combined electrophysiological and neurocognitive investigation of sustained attention in ecological tasks yielding unique insights on patterns of sustained attention as a function of task modality and task complexity. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9556703/ /pubmed/36248697 http://dx.doi.org/10.3389/fnhum.2022.971314 Text en Copyright © 2022 Avirame, Gshur, Komemi and Lipskaya-Velikovsky. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Avirame, Keren Gshur, Noga Komemi, Reut Lipskaya-Velikovsky, Lena A multimodal approach for the ecological investigation of sustained attention: A pilot study |
title | A multimodal approach for the ecological investigation of sustained attention: A pilot study |
title_full | A multimodal approach for the ecological investigation of sustained attention: A pilot study |
title_fullStr | A multimodal approach for the ecological investigation of sustained attention: A pilot study |
title_full_unstemmed | A multimodal approach for the ecological investigation of sustained attention: A pilot study |
title_short | A multimodal approach for the ecological investigation of sustained attention: A pilot study |
title_sort | multimodal approach for the ecological investigation of sustained attention: a pilot study |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556703/ https://www.ncbi.nlm.nih.gov/pubmed/36248697 http://dx.doi.org/10.3389/fnhum.2022.971314 |
work_keys_str_mv | AT aviramekeren amultimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy AT gshurnoga amultimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy AT komemireut amultimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy AT lipskayavelikovskylena amultimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy AT aviramekeren multimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy AT gshurnoga multimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy AT komemireut multimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy AT lipskayavelikovskylena multimodalapproachfortheecologicalinvestigationofsustainedattentionapilotstudy |