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Yuan S, Zhang J, Sun T. Exploring neural oscillations in numerical inductive reasoning: unveiling effects of top-down and bottom-up conflict. Front Psychol 2024; 14:1288325. [PMID: 38274687 PMCID: PMC10808643 DOI: 10.3389/fpsyg.2023.1288325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/22/2023] [Indexed: 01/27/2024] Open
Abstract
Previous research has delved into the brain's response to top-down and bottom-up conflicts in numerical inductive reasoning. However, the specific neural oscillatory patterns associated with these conflict types in numerical inductive reasoning processing have remained elusive. In this study, we employed a number series completion task in which participants had to determine whether a given target number adhered to concealed rules. Three conditions were established: an identity condition (e.g., 13, 13, 13), a perceptual mismatch condition (representing bottom-up conflict, e.g., 13 13 ), and a rule violation condition (representing top-down conflict, e.g., 13 13 14). Our EEG results revealed significant distinctions: rule violation induced more pronounced alpha desynchronization compared to both perceptual mismatch and identity conditions. Conversely, perceptual mismatch was associated with increased theta synchronization in contrast to rule violation and the identity condition. These findings suggest that alpha desynchronization may indicate the integration of rules during top-down conflict, while theta synchronization may function as a mechanism to inhibit bottom-up perceptual interference in numerical inductive reasoning.
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Affiliation(s)
- Shangqing Yuan
- School of Psychology, Research Center for Child Development, Beijing Key Laboratory of Learning and Cognition, Capital Normal University, Beijing, China
| | - Jun Zhang
- College of Home Economics, Hebei Normal University, Shijiazhuang, China
| | - Tie Sun
- Joint Education Institute of Zhejiang Normal University and University of Kansas, Zhejiang Normal University, Jinhua, China
- College of Education, Zhejiang Normal University, Jinhua, China
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Zhou L, Yan H, Ren J, Li F, Luo J, Huang F. Cognitive control of invalid predominant ideas in insight-like problem solving. Psychophysiology 2022; 59:e14133. [PMID: 35751854 DOI: 10.1111/psyp.14133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 06/05/2022] [Accepted: 06/11/2022] [Indexed: 11/28/2022]
Abstract
Predominant ordinary ideas are insufficient for solving insight-like problems; they interfere with subordinate original ideas and can produce a mental impasse. However, how people monitor and control invalid predominant ideas remains largely unknown. In the current study, participants were asked to solve a sequence of several similar practice problems that had the same solution to strengthen a predominant idea; the participants were then presented with an insight-like test problem that could not be solved by the predominant idea. The results showed that if the test problem was similar to the practice problems in which the predominant idea could typically be applied, it elicited greater late sustained potential (LSP) over the whole brain but no conflict-related N2 or N400 components, which suggests that the participants did not experience cognitive conflict and continued to verify the predominant but currently invalid idea. When the test problem differed from the practice problems, the items that participants reported trying to solve elicited greater N2-N400 and LSP over the whole brain, which suggests that the participants experienced cognitive conflict and exerted more reactive control over the invalid predominant idea; in contrast, the items that participants reported thinking about how to solve did not evoke greater conflict-related N2-N400 components and evoked even lower LSP, which likely indicates an ineffective state. These findings demonstrate three kinds of cognitive control toward invalid predominant ideas in situations where they are typically and not typically applied and provide empirical evidence of a mental impasse in insight-like problem-solving behaviors.
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Affiliation(s)
- Liyu Zhou
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Haiqiong Yan
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Jingyuan Ren
- Donders Institute for Brain, Cognition and Behaviour, Rodboud University Medical Center, Nijmegen, Netherlands
| | - Fuhong Li
- School of Psychology, Jiangxi Normal University, Nanchang, China
| | - Jing Luo
- School of Psychology, Capital Normal University, Beijing, China
| | - Furong Huang
- School of Psychology, Jiangxi Normal University, Nanchang, China
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Du J, Zhu Y, Zhao C, Yang D, Yu T, Zhang X, Ren L, Wang Y. Distinct Patterns of Automatic and Controlled Incongruent Information Processing in the Human Brain. Front Hum Neurosci 2022; 16:836374. [PMID: 35601902 PMCID: PMC9121373 DOI: 10.3389/fnhum.2022.836374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/29/2022] [Indexed: 11/13/2022] Open
Abstract
It is a fundamental ability to discriminate incongruent information in daily activity. However, the underlying neural dynamics are still unclear. Using stereoelectroencephalography (SEEG), in this study, we investigated the fine-grained and different states of incongruent information processing in patients with refractory epilepsy who underwent intracranial electrode implantation. All patients performed a delayed match-to-sample paradigm in the sequential pairs of visual stimuli (S1 followed by S2). Participants were asked to discriminate whether the relevant feature of S2 was identical to S1 while ignoring the irrelevant feature. The spatiotemporal cortical responses evoked by different conditions were calculated and compared, respectively, in the context of brain intrinsic functional networks. In total, we obtained SEEG recordings from 241 contacts in gray matter. In the processing of irrelevant incongruent information, the activated brain areas included the superior parietal lobule, supramarginal gyrus, angular gyrus, inferior temporal gyrus, and fusiform gyrus. By comparing the relevant incongruent condition with the congruent condition, the activated brain areas included the middle frontal gyrus, superior temporal gyrus, middle temporal gyrus, posterior superior temporal sulcus, and posterior cingulate cortex. We demonstrated the dynamics of incongruent information processing with high spatiotemporal resolution and suggested that the process of automatic detection of irrelevant incongruent information requires the involvement of local regions and relatively few networks. Meanwhile, controlled discrimination of relevant incongruent information requires the participation of extensive regions and a wide range of nodes in the network. Furthermore, both the frontoparietal control network and default mode network were engaged in the incongruent information processing.
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Affiliation(s)
- Jialin Du
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Yu Zhu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chengtian Zhao
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Dongju Yang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Tao Yu
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xiaohua Zhang
- Department of Functional Neurosurgery, Beijing Institute of Functional Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Liankun Ren
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Liankun Ren
| | - Yuping Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
- Institute of Sleep and Consciousness Disorders, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Neuromodulation, Beijing, China
- *Correspondence: Yuping Wang
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