Cargando…

The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts

Response conflicts hamper goal-directed behavior and may be evoked by both consciously and subliminally (unconsciously) processed information. Yet, not much is known about the mechanisms and brain regions driving the size of subliminally induced conflicts. We hence combined a response conflict parad...

Descripción completa

Detalles Bibliográficos
Autores principales: Bensmann, Wiebke, Vahid, Amirali, Beste, Christian, Stock, Ann-Kathrin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391363/
https://www.ncbi.nlm.nih.gov/pubmed/30842733
http://dx.doi.org/10.3389/fnhum.2019.00053
_version_ 1783398280494841856
author Bensmann, Wiebke
Vahid, Amirali
Beste, Christian
Stock, Ann-Kathrin
author_facet Bensmann, Wiebke
Vahid, Amirali
Beste, Christian
Stock, Ann-Kathrin
author_sort Bensmann, Wiebke
collection PubMed
description Response conflicts hamper goal-directed behavior and may be evoked by both consciously and subliminally (unconsciously) processed information. Yet, not much is known about the mechanisms and brain regions driving the size of subliminally induced conflicts. We hence combined a response conflict paradigm featuring subliminal primes and conscious flankers with in-depth neurophysiological (EEG) analyses, including source localization in a sample of N = 243 healthy subjects. Intra-individual differences in the size of subliminal conflicts were reflected both during early attentional stimulus processing (prime-associated N1 and target-associated P1 and N1 amplitudes) and conflict monitoring (N2 amplitudes). On the neuroanatomical level, this was reflected by activity modulations in the TPJ (BA39, BA40) and V2 (BA18), which are known to be involved in attentional stimulus processing and task set maintenance. In addition to a “standard” analysis of event-related potentials, we also conducted a purely data-driven machine learning approach using support vector machines (SVM) in order to identify neurophysiological features which do not only reflect the size of subliminal conflict, but actually allow to classify/predict it. This showed that only extremely early information processing (about 65 ms after the onset of the prime) was predictive of subliminal conflict size. Importantly, this predictive feature occurred before target information could even be processed and was reflected by activity in the left middle frontal gyrus (BA6) and insula (BA13). We conclude that differences in task set maintenance and potentially also in subliminal attentional processing of task-relevant features, but not conflict monitoring, determine the size of subliminally induced response conflicts.
format Online
Article
Text
id pubmed-6391363
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-63913632019-03-06 The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts Bensmann, Wiebke Vahid, Amirali Beste, Christian Stock, Ann-Kathrin Front Hum Neurosci Neuroscience Response conflicts hamper goal-directed behavior and may be evoked by both consciously and subliminally (unconsciously) processed information. Yet, not much is known about the mechanisms and brain regions driving the size of subliminally induced conflicts. We hence combined a response conflict paradigm featuring subliminal primes and conscious flankers with in-depth neurophysiological (EEG) analyses, including source localization in a sample of N = 243 healthy subjects. Intra-individual differences in the size of subliminal conflicts were reflected both during early attentional stimulus processing (prime-associated N1 and target-associated P1 and N1 amplitudes) and conflict monitoring (N2 amplitudes). On the neuroanatomical level, this was reflected by activity modulations in the TPJ (BA39, BA40) and V2 (BA18), which are known to be involved in attentional stimulus processing and task set maintenance. In addition to a “standard” analysis of event-related potentials, we also conducted a purely data-driven machine learning approach using support vector machines (SVM) in order to identify neurophysiological features which do not only reflect the size of subliminal conflict, but actually allow to classify/predict it. This showed that only extremely early information processing (about 65 ms after the onset of the prime) was predictive of subliminal conflict size. Importantly, this predictive feature occurred before target information could even be processed and was reflected by activity in the left middle frontal gyrus (BA6) and insula (BA13). We conclude that differences in task set maintenance and potentially also in subliminal attentional processing of task-relevant features, but not conflict monitoring, determine the size of subliminally induced response conflicts. Frontiers Media S.A. 2019-02-20 /pmc/articles/PMC6391363/ /pubmed/30842733 http://dx.doi.org/10.3389/fnhum.2019.00053 Text en Copyright © 2019 Bensmann, Vahid, Beste and Stock. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Bensmann, Wiebke
Vahid, Amirali
Beste, Christian
Stock, Ann-Kathrin
The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts
title The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts
title_full The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts
title_fullStr The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts
title_full_unstemmed The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts
title_short The Intensity of Early Attentional Processing, but Not Conflict Monitoring, Determines the Size of Subliminal Response Conflicts
title_sort intensity of early attentional processing, but not conflict monitoring, determines the size of subliminal response conflicts
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6391363/
https://www.ncbi.nlm.nih.gov/pubmed/30842733
http://dx.doi.org/10.3389/fnhum.2019.00053
work_keys_str_mv AT bensmannwiebke theintensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts
AT vahidamirali theintensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts
AT bestechristian theintensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts
AT stockannkathrin theintensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts
AT bensmannwiebke intensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts
AT vahidamirali intensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts
AT bestechristian intensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts
AT stockannkathrin intensityofearlyattentionalprocessingbutnotconflictmonitoringdeterminesthesizeofsubliminalresponseconflicts