Neuronal correlates of a virtual-reality-based passive sensory P300 network.

P300, a positive event-related potential (ERP) evoked at around 300 ms after stimulus, can be elicited using an active or passive oddball paradigm. Active P300 requires a person's intentional response, whereas passive P300 does not require an intentional response. Passive P300 has been used in...

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Main Authors: Chun-Chuan Chen, Kai-Syun Syue, Kai-Chiun Li, Shih-Ching Yeh
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4234463?pdf=render
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spelling doaj-355eaae1e286431f8137808333f5f3dd2020-11-25T02:11:57ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-01911e11222810.1371/journal.pone.0112228Neuronal correlates of a virtual-reality-based passive sensory P300 network.Chun-Chuan ChenKai-Syun SyueKai-Chiun LiShih-Ching YehP300, a positive event-related potential (ERP) evoked at around 300 ms after stimulus, can be elicited using an active or passive oddball paradigm. Active P300 requires a person's intentional response, whereas passive P300 does not require an intentional response. Passive P300 has been used in incommunicative patients for consciousness detection and brain computer interface. Active and passive P300 differ in amplitude, but not in latency or scalp distribution. However, no study has addressed the mechanism underlying the production of passive P300. In particular, it remains unclear whether the passive P300 shares an identical active P300 generating network architecture when no response is required. This study aims to explore the hierarchical network of passive sensory P300 production using dynamic causal modelling (DCM) for ERP and a novel virtual reality (VR)-based passive oddball paradigm. Moreover, we investigated the causal relationship of this passive P300 network and the changes in connection strength to address the possible functional roles. A classical ERP analysis was performed to verify that the proposed VR-based game can reliably elicit passive P300. The DCM results suggested that the passive and active P300 share the same parietal-frontal neural network for attentional control and, underlying the passive network, the feed-forward modulation is stronger than the feed-back one. The functional role of this forward modulation may indicate the delivery of sensory information, automatic detection of differences, and stimulus-driven attentional processes involved in performing this passive task. To our best knowledge, this is the first study to address the passive P300 network. The results of this study may provide a reference for future clinical studies on addressing the network alternations under pathological states of incommunicative patients. However, caution is required when comparing patients' analytic results with this study. For example, the task presented here is not applicable to incommunicative patients.http://europepmc.org/articles/PMC4234463?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Chun-Chuan Chen
Kai-Syun Syue
Kai-Chiun Li
Shih-Ching Yeh
spellingShingle Chun-Chuan Chen
Kai-Syun Syue
Kai-Chiun Li
Shih-Ching Yeh
Neuronal correlates of a virtual-reality-based passive sensory P300 network.
PLoS ONE
author_facet Chun-Chuan Chen
Kai-Syun Syue
Kai-Chiun Li
Shih-Ching Yeh
author_sort Chun-Chuan Chen
title Neuronal correlates of a virtual-reality-based passive sensory P300 network.
title_short Neuronal correlates of a virtual-reality-based passive sensory P300 network.
title_full Neuronal correlates of a virtual-reality-based passive sensory P300 network.
title_fullStr Neuronal correlates of a virtual-reality-based passive sensory P300 network.
title_full_unstemmed Neuronal correlates of a virtual-reality-based passive sensory P300 network.
title_sort neuronal correlates of a virtual-reality-based passive sensory p300 network.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2014-01-01
description P300, a positive event-related potential (ERP) evoked at around 300 ms after stimulus, can be elicited using an active or passive oddball paradigm. Active P300 requires a person's intentional response, whereas passive P300 does not require an intentional response. Passive P300 has been used in incommunicative patients for consciousness detection and brain computer interface. Active and passive P300 differ in amplitude, but not in latency or scalp distribution. However, no study has addressed the mechanism underlying the production of passive P300. In particular, it remains unclear whether the passive P300 shares an identical active P300 generating network architecture when no response is required. This study aims to explore the hierarchical network of passive sensory P300 production using dynamic causal modelling (DCM) for ERP and a novel virtual reality (VR)-based passive oddball paradigm. Moreover, we investigated the causal relationship of this passive P300 network and the changes in connection strength to address the possible functional roles. A classical ERP analysis was performed to verify that the proposed VR-based game can reliably elicit passive P300. The DCM results suggested that the passive and active P300 share the same parietal-frontal neural network for attentional control and, underlying the passive network, the feed-forward modulation is stronger than the feed-back one. The functional role of this forward modulation may indicate the delivery of sensory information, automatic detection of differences, and stimulus-driven attentional processes involved in performing this passive task. To our best knowledge, this is the first study to address the passive P300 network. The results of this study may provide a reference for future clinical studies on addressing the network alternations under pathological states of incommunicative patients. However, caution is required when comparing patients' analytic results with this study. For example, the task presented here is not applicable to incommunicative patients.
url http://europepmc.org/articles/PMC4234463?pdf=render
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