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Xu H, Yang G, Göschl F, Nolte G, Ren Q, Li Z, Wu H, Engel AK, Li Q, Liu X. Distinct and common mechanisms of cross-model semantic conflict and response conflict in an auditory relevant task. Cereb Cortex 2024; 34:bhae105. [PMID: 38517179 DOI: 10.1093/cercor/bhae105] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Revised: 02/27/2024] [Accepted: 02/28/2024] [Indexed: 03/23/2024] Open
Abstract
The mechanisms of semantic conflict and response conflict in the Stroop task have mainly been investigated in the visual modality. However, the understanding of these mechanisms in cross-modal modalities remains limited. In this electroencephalography (EEG) study, an audiovisual 2-1 mapping Stroop task was utilized to investigate whether distinct and/or common neural mechanisms underlie cross-modal semantic conflict and response conflict. The response time data showed significant effects on both cross-modal semantic and response conflicts. Interestingly, the magnitude of semantic conflict was found to be smaller in the fast response time bins than in the slow response time bins, whereas no such difference was observed for response conflict. The EEG data demonstrated that cross-modal semantic conflict specifically increased the N450 amplitude. However, cross-modal response conflict specifically enhanced theta band power and theta phase synchronization between the medial frontal cortex (MFC) and lateral prefrontal electrodes as well as between the MFC and motor electrodes. In addition, both cross-modal semantic conflict and response conflict led to a decrease in P3 amplitude. Taken together, these findings provide cross-modal evidence for domain-specific mechanism in conflict detection and suggest both domain-specific and domain-general mechanisms exist in conflict resolution.
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Affiliation(s)
- Honghui Xu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100040, China
- Center for Cognitive and Brain Sciences and Department of Psychology, University of Macau, Taipa, Macau 999078, China
| | - Guochun Yang
- Cognitive Control Collaborative, University of Iowa, Iowa City, IA 52242, United States
- Department of Psychological and Brain Sciences, University of Iowa, Iowa City, IA 52242, United States
| | - Florian Göschl
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Guido Nolte
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Qiaoyue Ren
- General and Experimental Psychology Unit, Department of Psychology, LMU, Munich 80802, Germany
| | - Zhenghan Li
- Institute of Brain Science and Department of Physiology, School of Basic Medical Sciences, Hangzhou Normal University, Hangzhou 311121, China
| | - Haiyan Wu
- Center for Cognitive and Brain Sciences and Department of Psychology, University of Macau, Taipa, Macau 999078, China
| | - Andreas K Engel
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany
| | - Qi Li
- Beijing Key Laboratory of Learning and Cognition, School of Psychology, Capital Normal University, Beijing 100048, China
| | - Xun Liu
- CAS Key Laboratory of Behavioral Science, Institute of Psychology, Beijing 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing 100040, China
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