Transient Attention Gates Access Consciousness: Coupling N2pc and P3 Latencies using Dynamic Time Warping.


Journal

The Journal of neuroscience : the official journal of the Society for Neuroscience
ISSN: 1529-2401
Titre abrégé: J Neurosci
Pays: United States
ID NLM: 8102140

Informations de publication

Date de publication:
24 May 2024
Historique:
received: 22 09 2023
revised: 15 05 2024
accepted: 18 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 24 5 2024
Statut: aheadofprint

Résumé

The N2pc & P3 Event-Related Potentials (ERPs), used to index selective attention and access to working memory and conscious awareness, respectively, have been important tools in cognitive sciences. Although it is likely that these two components and the underlying cognitive processes are temporally and functionally linked, such links have not yet been convincingly demonstrated. Adopting a novel methodological approach based on Dynamic Time Warping (DTW), we provide evidence that the N2pc and P3 ERP components are temporally linked. We analysed data from an experiment where 23 participants (16 women) monitored bilateral rapid serial streams of letters and digits in order to report a target digit indicated by a shape cue, separately for trials with correct responses and trials where a temporally proximal distractor was reported instead (distractor intrusion). DTW analyses revealed that N2pc and P3 latencies were correlated in time, both when the target or a distractor was reported. Notably, this link was weaker on distractor intrusion trials. This N2pc-P3 association is discussed with respect to the relationship between attention and access consciousness. Our results demonstrate that our novel method provides a valuable approach for assessing temporal links between two cognitive processes and their underlying modulating factors. This method allows to establish links and their modulator for any two time-series across all domains of the field (general-purpose MATLAB functions and a Python module are provided alongside this paper).

Identifiants

pubmed: 38789261
pii: JNEUROSCI.1798-23.2024
doi: 10.1523/JNEUROSCI.1798-23.2024
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Hosseini et al.

Auteurs

Mahan Hosseini (M)

The School of Computing, University of Kent, CT2 7NZ, United Kingdom.
Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52428, Germany.

Alon Zivony (A)

University of Sheffield, S1 4DP, United Kingdom.

Martin Eimer (M)

Birkbeck College, University of London, WC1E 7HX, United Kingdom.

Brad Wyble (B)

Psychology Department, Penn State University, PA 16801, United States.

Howard Bowman (H)

School of Psychology and School of Computer Science, University of Birmingham, B15 2TT, United Kingdom.
The School of Computing, University of Kent, CT2 7NZ, United Kingdom.

Classifications MeSH