On the effects of multimodal information integration in multitasking
Abstract There have recently been considerable advances in our understanding of the neuronal mechanisms underlying multitasking, but the role of multimodal integration for this faculty has remained rather unclear. We examined this issue by comparing different modality combinations in a multitasking...
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Nature Portfolio
2017
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oai:doaj.org-article:dd42000e98244ccd82562454942263c62021-12-02T15:05:11ZOn the effects of multimodal information integration in multitasking10.1038/s41598-017-04828-w2045-2322https://doaj.org/article/dd42000e98244ccd82562454942263c62017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-04828-whttps://doaj.org/toc/2045-2322Abstract There have recently been considerable advances in our understanding of the neuronal mechanisms underlying multitasking, but the role of multimodal integration for this faculty has remained rather unclear. We examined this issue by comparing different modality combinations in a multitasking (stop-change) paradigm. In-depth neurophysiological analyses of event-related potentials (ERPs) were conducted to complement the obtained behavioral data. Specifically, we applied signal decomposition using second order blind identification (SOBI) to the multi-subject ERP data and source localization. We found that both general multimodal information integration and modality-specific aspects (potentially related to task difficulty) modulate behavioral performance and associated neurophysiological correlates. Simultaneous multimodal input generally increased early attentional processing of visual stimuli (i.e. P1 and N1 amplitudes) as well as measures of cognitive effort and conflict (i.e. central P3 amplitudes). Yet, tactile-visual input caused larger impairments in multitasking than audio-visual input. General aspects of multimodal information integration modulated the activity in the premotor cortex (BA 6) as well as different visual association areas concerned with the integration of visual information with input from other modalities (BA 19, BA 21, BA 37). On top of this, differences in the specific combination of modalities also affected performance and measures of conflict/effort originating in prefrontal regions (BA 6).Ann-Kathrin StockKrutika GohilRené J. HusterChristian BesteNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-12 (2017) |
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Medicine R Science Q Ann-Kathrin Stock Krutika Gohil René J. Huster Christian Beste On the effects of multimodal information integration in multitasking |
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Abstract There have recently been considerable advances in our understanding of the neuronal mechanisms underlying multitasking, but the role of multimodal integration for this faculty has remained rather unclear. We examined this issue by comparing different modality combinations in a multitasking (stop-change) paradigm. In-depth neurophysiological analyses of event-related potentials (ERPs) were conducted to complement the obtained behavioral data. Specifically, we applied signal decomposition using second order blind identification (SOBI) to the multi-subject ERP data and source localization. We found that both general multimodal information integration and modality-specific aspects (potentially related to task difficulty) modulate behavioral performance and associated neurophysiological correlates. Simultaneous multimodal input generally increased early attentional processing of visual stimuli (i.e. P1 and N1 amplitudes) as well as measures of cognitive effort and conflict (i.e. central P3 amplitudes). Yet, tactile-visual input caused larger impairments in multitasking than audio-visual input. General aspects of multimodal information integration modulated the activity in the premotor cortex (BA 6) as well as different visual association areas concerned with the integration of visual information with input from other modalities (BA 19, BA 21, BA 37). On top of this, differences in the specific combination of modalities also affected performance and measures of conflict/effort originating in prefrontal regions (BA 6). |
format |
article |
author |
Ann-Kathrin Stock Krutika Gohil René J. Huster Christian Beste |
author_facet |
Ann-Kathrin Stock Krutika Gohil René J. Huster Christian Beste |
author_sort |
Ann-Kathrin Stock |
title |
On the effects of multimodal information integration in multitasking |
title_short |
On the effects of multimodal information integration in multitasking |
title_full |
On the effects of multimodal information integration in multitasking |
title_fullStr |
On the effects of multimodal information integration in multitasking |
title_full_unstemmed |
On the effects of multimodal information integration in multitasking |
title_sort |
on the effects of multimodal information integration in multitasking |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/dd42000e98244ccd82562454942263c6 |
work_keys_str_mv |
AT annkathrinstock ontheeffectsofmultimodalinformationintegrationinmultitasking AT krutikagohil ontheeffectsofmultimodalinformationintegrationinmultitasking AT renejhuster ontheeffectsofmultimodalinformationintegrationinmultitasking AT christianbeste ontheeffectsofmultimodalinformationintegrationinmultitasking |
_version_ |
1718388925544792064 |