Neuronal Correlates of a Virtual-Reality-Based Passive Sensory P300 Network
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{"title"=>"Neuronal correlates of a virtual-reality-based passive sensory P300 network", "type"=>"journal", "authors"=>[{"first_name"=>"Chun Chuan", "last_name"=>"Chen", "scopus_author_id"=>"8942129700"}, {"first_name"=>"Kai Syun", "last_name"=>"Syue", "scopus_author_id"=>"56433434400"}, {"first_name"=>"Kai Chiun", "last_name"=>"Li", "scopus_author_id"=>"56431603500"}, {"first_name"=>"Shih Ching", "last_name"=>"Yeh", "scopus_author_id"=>"14619911100"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84913556600", "pmid"=>"25401520", "doi"=>"10.1371/journal.pone.0112228", "pui"=>"600550463", "isbn"=>"1932-6203 (Electronic)\r1932-6203 (Linking)", "sgr"=>"84913556600"}, "id"=>"d19c58ac-eaa3-3414-bc39-196e0b7b91eb", "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.", "link"=>"http://www.mendeley.com/research/neuronal-correlates-virtualrealitybased-passive-sensory-p300-network", "reader_count"=>24, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>1, "Student > Doctoral Student"=>2, "Researcher"=>2, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>1, "Student > Master"=>8, "Other"=>1, "Student > Bachelor"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>3, "Agricultural and Biological Sciences"=>1, "Medicine and Dentistry"=>4, "Neuroscience"=>4, "Business, Management and Accounting"=>1, "Psychology"=>1, "Social Sciences"=>2, "Computer Science"=>4}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>3}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>4}, "Neuroscience"=>{"Neuroscience"=>4}, "Social Sciences"=>{"Social Sciences"=>2}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>1}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"Hungary"=>1, "Taiwan"=>1}, "group_count"=>2}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1797222"], "description"=>"<p>The mean P300 peak amplitude and latency under the rare condition.</p>", "links"=>[], "tags"=>["dcm", "P 300 shares", "P 300 production", "Active P 300", "P 300 network", "P 300 share", "Brain computer interface", "vr", "P 300.", "Passive P 300", "p 300", "erp", "incommunicative patients", "response"], "article_id"=>1244032, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Chun-Chuan Chen", "Kai-Syun Syue", "Kai-Chiun Li", "Shih-Ching Yeh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112228.t001", "stats"=>{"downloads"=>14, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_mean_P300_peak_amplitude_and_latency_under_the_rare_condition_/1244032", "title"=>"The mean P300 peak amplitude and latency under the rare condition.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-11-17 03:03:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/1797223"], "description"=>"<p>*P<0.05.</p><p>The statistical results on the modulatory coupling parameters.</p>", "links"=>[], "tags"=>["dcm", "P 300 shares", "P 300 production", "Active P 300", "P 300 network", "P 300 share", "Brain computer interface", "vr", "P 300.", "Passive P 300", "p 300", "erp", "incommunicative patients", "response"], "article_id"=>1244033, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Chun-Chuan Chen", "Kai-Syun Syue", "Kai-Chiun Li", "Shih-Ching Yeh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112228.t002", "stats"=>{"downloads"=>3, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_statistical_results_on_the_modulatory_coupling_parameters_/1244033", "title"=>"The statistical results on the modulatory coupling parameters.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-11-17 03:03:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/1797225"], "description"=>"<div><p>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.</p></div>", "links"=>[], "tags"=>["dcm", "P 300 shares", "P 300 production", "Active P 300", "P 300 network", "P 300 share", "Brain computer interface", "vr", "P 300.", "Passive P 300", "p 300", "erp", "incommunicative patients", "response"], "article_id"=>1244035, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Chun-Chuan Chen", "Kai-Syun Syue", "Kai-Chiun Li", "Shih-Ching Yeh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112228", "stats"=>{"downloads"=>4, "page_views"=>19, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Neuronal_Correlates_of_a_Virtual_Reality_Based_Passive_Sensory_P300_Network_/1244035", "title"=>"Neuronal Correlates of a Virtual-Reality-Based Passive Sensory P300 Network", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-11-17 03:03:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/1797211"], "description"=>"<p>(SI : primary sensory area; SII : secondary sensor area; ACC : Anterior cingulate cortex; TPJ: Temporoparietal junction; IPL : Inferior parietal lobule; PMA : Premotor area;DLPFC: Dorsolateral prefrontal cortex).</p>", "links"=>[], "tags"=>["dcm", "P 300 shares", "P 300 production", "Active P 300", "P 300 network", "P 300 share", "Brain computer interface", "vr", "P 300.", "Passive P 300", "p 300", "erp", "incommunicative patients", "response"], "article_id"=>1244021, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Chun-Chuan Chen", "Kai-Syun Syue", "Kai-Chiun Li", "Shih-Ching Yeh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112228.g001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_architectures_of_the_plausible_model_pairs_/1244021", "title"=>"The architectures of the plausible model pairs.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-17 03:03:05"}
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  • {"files"=>["https://ndownloader.figshare.com/files/1797213"], "description"=>"<p>The time courses of the ERP at Fz, Cz and Pz averaged across subjects (left) and the mean topographic map at the individual peak of P300, normalized to the individual-specific maximum and minimum (right).</p>", "links"=>[], "tags"=>["dcm", "P 300 shares", "P 300 production", "Active P 300", "P 300 network", "P 300 share", "Brain computer interface", "vr", "P 300.", "Passive P 300", "p 300", "erp", "incommunicative patients", "response"], "article_id"=>1244023, "categories"=>["Biological Sciences", "Science Policy"], "users"=>["Chun-Chuan Chen", "Kai-Syun Syue", "Kai-Chiun Li", "Shih-Ching Yeh"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0112228.g003", "stats"=>{"downloads"=>3, "page_views"=>348, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_time_courses_of_the_ERP_at_Fz_Cz_and_Pz_averaged_across_subjects_left_and_the_mean_topographic_map_at_the_individual_peak_of_P300_normalized_to_the_individual_specific_maximum_and_minimum_right_/1244023", "title"=>"The time courses of the ERP at Fz, Cz and Pz averaged across subjects (left) and the mean topographic map at the individual peak of P300, normalized to the individual-specific maximum and minimum (right).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-11-17 03:03:05"}
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Relative Metric

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