ArticlePloS one2014
Neuronal correlates of a virtual-reality-based passive sensory P300 network.
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.
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Who cites it
10 citing papers in PubMed.
- Enhanced response inhibition in patients with drug-resistant juvenile myoclonic epilepsy: Event-related potentials evidence of excitatory-inhibitory imbalance.Epilepsia open · 2025Article
- Limited Ability to Adjust N2 Amplitude During Dual Task Walking in People With Drug-Resistant Juvenile Myoclonic Epilepsy.Frontiers in neurology · 2022Article
- Blind Visualization of Task-Related Networks From Visual Oddball Simultaneous EEG-fMRI Data: Spectral or Spatiospectral Model?Frontiers in neurology · 2021Article
- Attention Detection in Virtual Environments Using EEG Signals: A Scoping Review.Frontiers in physiology · 2021Article
- Virtual Reality Potentiates Emotion and Task Effects of Alpha/Beta Brain Oscillations.Brain sciences · 2020Article
- Distinguishing the Visual Working Memory Training and Practice Effects by the Effective Connectivity During n-back Tasks: A DCM of ERP Study.Frontiers in behavioral neuroscience · 2019Article
- Different Contexts in the Oddball Paradigm Induce Distinct Brain Networks in Generating the P300.Frontiers in human neuroscience · 2018Article
- Top-Down Disconnectivity in Schizophrenia During P300 Tasks.Frontiers in computational neuroscience · 2018Article
- Testing a novel method for improving wayfinding by means of a P3b Virtual Reality Visual Paradigm in normal aging.SpringerPlus · 2016Article
- Relationships between the resting-state network and the P3: Evidence from a scalp EEG study.Scientific reports · 2015Article
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4 authors.
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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.
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