Evidence map›Paper›PMID 25401520›Full record

ArticlePloS one2014

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

Chun-Chuan Chen, Kai-Syun Syue, Kai-Chiun Li, Shih-Ching Yeh

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
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  8. Top-Down Disconnectivity in Schizophrenia During P300 Tasks.Frontiers in computational neuroscience · 2018
    Article
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  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Chun-Chuan ChenGraduate Institute of Biomedical Engineering, National Central University, Jhongli city, Taoyuan County, Taiwan.
Kai-Syun SyueGraduate Institute of Biomedical Engineering, National Central University, Jhongli city, Taoyuan County, Taiwan.
Kai-Chiun LiGraduate Institute of Biomedical Engineering, National Central University, Jhongli city, Taoyuan County, Taiwan.
Shih-Ching YehDepartment of Computer Science and Information Engineering, National Central University, Jhongli city, Taoyuan County, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Computer SimulationEvent-Related Potentials, P300Models, NeurologicalAdultBrainHumansMaleYoung Adult

Identifiers

PMID25401520
PMCPMC4234463

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.