Literature DB >> 27570107

Is P3 a strategic or a tactical component? Relationships of P3 sub-components to response times in oddball tasks with go, no-go and choice responses.

Rolf Verleger1, Nils Grauhan2, Kamila Śmigasiewicz2.   

Abstract

P3 (viz. P300) is a most prominent component of event-related EEG potentials recorded during task performance. There has been long-standing debate about whether the process reflected by P3 is tactical or strategic, i.e., required for making the present response or constituting some overarching process. Here, we used residue iteration decomposition (RIDE) to delineate P3 subcomponents time-locked to responses and tested for the temporal relations between P3 components and response times (RTs). Data were obtained in oddball tasks (i.e., tasks presenting two stimuli, one rarely and one frequently) with rare and frequent go, no-go, or choice responses (CRs). As usual, rare-go P3s were large at Pz and rare no-go P3s at FCz. Notably, P3s evoked with rare CRs were large at either site, probably comprising both go and no-go P3. Throughout, with frequent and rare responses, P3 latencies coincided with RTs. RIDE decomposed P3 complexes into a large CPz-focused C-P3 and an earlier Pz-focused response-locked R-P3. R-P3 had an additional large fronto-central focus with rare CRs, modeling the no-go-P3 part, suggesting that the process reflected by no-go P3 is tightly time-locked to making the alternative response. R-P3 coincided with the fast RTs to frequent stimuli and C-P3 coincided with the slower RTs to rare stimuli. Thus, the process reflected by C-P3 might be required for responding to rare events, but not to frequent ones. We argue that these results are nevertheless compatible with a tactical role of P3 because responses may not be contingent on stimulus analysis with frequent stimuli. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Context updating; Decision; P300; RIDE

Mesh:

Year:  2016        PMID: 27570107     DOI: 10.1016/j.neuroimage.2016.08.049

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  12 in total

1.  The oddball effect on P3 disappears when feature relevance or feature-response mappings are unknown.

Authors:  Rolf Verleger; Magdalena Keppeler; Jona Sassenhagen; Kamila Śmigasiewicz
Journal:  Exp Brain Res       Date:  2018-07-20       Impact factor: 1.972

2.  Layers of latent effects in cognitive control: An EEG investigation.

Authors:  Christopher D Erb; James F Cavanagh
Journal:  Acta Psychol (Amst)       Date:  2019-03-01

3.  Editorial Special Issue: Neuronus.

Authors:  Rob H J Van der Lubbe; Michał Kuniecki
Journal:  Adv Cogn Psychol       Date:  2016-12-31

4.  Functional Dissociation of Latency-Variable, Stimulus- and Response-Locked Target P3 Sub-components in Task-Switching.

Authors:  Christopher R Brydges; Francisco Barceló
Journal:  Front Hum Neurosci       Date:  2018-02-20       Impact factor: 3.169

5.  On Why Targets Evoke P3 Components in Prediction Tasks: Drawing an Analogy between Prediction and Matching Tasks.

Authors:  Rolf Verleger; Stephanie Cäsar; Bastian Siller; Kamila Śmigasiewicz
Journal:  Front Hum Neurosci       Date:  2017-10-10       Impact factor: 3.169

6.  Being right matters: Model-compliant events in predictive processing.

Authors:  Daniel S Kluger; Laura Quante; Axel Kohler; Ricarda I Schubotz
Journal:  PLoS One       Date:  2019-06-13       Impact factor: 3.240

7.  Tracking the implicit acquisition of nonadjacent transitional probabilities by ERPs.

Authors:  Andrea Kóbor; Kata Horváth; Zsófia Kardos; Ádám Takács; Karolina Janacsek; Valéria Csépe; Dezso Nemeth
Journal:  Mem Cognit       Date:  2019-11

8.  The response relevance of visual stimuli modulates the P3 component and the underlying sensorimotor network.

Authors:  Dariusz Asanowicz; Krzysztof Gociewicz; Marcin Koculak; Karolina Finc; Kamil Bonna; Axel Cleeremans; Marek Binder
Journal:  Sci Rep       Date:  2020-03-02       Impact factor: 4.379

9.  On the Neurophysiological Mechanisms Underlying the Adaptability to Varying Cognitive Control Demands.

Authors:  Nicolas Zink; Ann-Kathrin Stock; Amirali Vahid; Christian Beste
Journal:  Front Hum Neurosci       Date:  2018-10-16       Impact factor: 3.169

10.  Exploitation of local and global information in predictive processing.

Authors:  Daniel S Kluger; Nico Broers; Marlen A Roehe; Moritz F Wurm; Niko A Busch; Ricarda I Schubotz
Journal:  PLoS One       Date:  2020-04-13       Impact factor: 3.240

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