The modulation of selective attention and divided attention on cross-modal congruence

Previous studies have demonstrated that performance under selective attention and divided attention can be enhanced or impaired, depending on whether the stimuli from different modalities are the same or different. However, it remains unclear whether the modulation of selective attention and divided attention on cross-modal congruence involves shared or distinct neural mechanisms. To clarify this, the present study adopted an audiovisual Stroop task (measuring selective attention) and an audiovisual Matching task (measuring divided attention), using the same physical stimuli, along with event-related potential (ERP) and time-frequency measures. The behavioral results revealed better performance when the auditory and visual stimuli were the same in both tasks. Electroencephalography (EEG) results revealed that different auditory and visual stimuli elicited increased N2 and late positive component (LPC) amplitudes, as well as increased theta power, in both tasks. Moreover, in the audiovisual Matching task, the P3 amplitude was lower in the different condition, and the delta power was greater in the same condition. However, in the audiovisual Stroop task, the amplitude of the N450 component was greater, and beta power was lower, in the different condition. These results indicate that both shared and distinct neural mechanisms underlie the modulation of different types of attention on cross-modal congruence.

Authors

Institutions

Publication Details

Journal
NeuroImage
Published
2025-02-18
DOI
https://doi.org/10.1016/j.neuroimage.2025.121093
Citations
3
Primary Topic
Neural and Behavioral Psychology Studies
Type
article
Field-Weighted Citation Impact
4.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The modulation of selective attention and divided attention on cross-modal congruence

Honghui Xu, Guochun Yang, Qiaoyue Ren, Mei Yu et al.
3 citations
NeuroImage
Neural and Behavioral Psychology Studies
4.29
article

The modulation of selective attention and divided attention on cross-modal congruence

Honghui Xu, Guochun Yang, Qiaoyue Ren, Mei Yu, Florian Göschl, Xun Liu, Qi Li
article en
3 citations

Abstract

Previous studies have demonstrated that performance under selective attention and divided attention can be enhanced or impaired, depending on whether the stimuli from different modalities are the same or different. However, it remains unclear whether the modulation of selective attention and divided attention on cross-modal congruence involves shared or distinct neural mechanisms. To clarify this, the present study adopted an audiovisual Stroop task (measuring selective attention) and an audiovisual Matching task (measuring divided attention), using the same physical stimuli, along with event-related potential (ERP) and time-frequency measures. The behavioral results revealed better performance when the auditory and visual stimuli were the same in both tasks. Electroencephalography (EEG) results revealed that different auditory and visual stimuli elicited increased N2 and late positive component (LPC) amplitudes, as well as increased theta power, in both tasks. Moreover, in the audiovisual Matching task, the P3 amplitude was lower in the different condition, and the delta power was greater in the same condition. However, in the audiovisual Stroop task, the amplitude of the N450 component was greater, and beta power was lower, in the different condition. These results indicate that both shared and distinct neural mechanisms underlie the modulation of different types of attention on cross-modal congruence.

NeuroImageVol. 309
University of Iowa (US), Minzu University of China (CN), Universität Hamburg (DE), University Medical Center Hamburg-Eppendorf (DE), Langfang Normal University (CN), University of Chinese Academy of Sciences (CN), École Polytechnique Fédérale de Lausanne (CH), Capital Normal University (CN), Tsinghua University (CN)
Reduced inequalities
Openalex Percentile: Top 7%
Neural and Behavioral Psychology Studies
4.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.