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Chen L, Jiang Y. Distinct Contributions of Alpha and Beta Oscillations to Context-Dependent Visual Size Perception. Neurosci Bull 2024:10.1007/s12264-024-01257-4. [PMID: 39078596 DOI: 10.1007/s12264-024-01257-4] [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: 11/02/2023] [Accepted: 03/15/2024] [Indexed: 07/31/2024] Open
Abstract
Previous studies have proposed two cognitive mechanisms responsible for the Ebbinghaus illusion effect, i.e., contour interaction and size contrast. However, the neural underpinnings of these two mechanisms are largely unexplored. The present study introduced binocular depth to the Ebbinghaus illusion configuration and made the central target appear either in front of or behind the surrounding inducers in order to disturb size contrast instead of contour interaction. The results showed that the illusion effect, though persisted, was significantly reduced under the binocular depth conditions. Notably, the target with a larger perceived size reduced early alpha-band power (8-13 Hz, 0-100 ms after stimulus onset) at centroparietal sites irrespective of the relative depth of the target and the inducers, with the parietal alpha power negatively correlated with the illusion effect. Moreover, the target with a larger perceived size increased the occipito-parietal beta-band power (14-25 Hz, 200-300 ms after stimulus onset) under the no-depth condition, and the beta power was positively correlated with the illusion effect when the depth conditions were subtracted from the no-depth condition. The findings provided neurophysiological evidence in favor of the two cognitive mechanisms of the Ebbinghaus illusion by revealing that early alpha power is associated with low-level contour interaction and late beta power is linked to high-level size contrast, supporting the claim that neural oscillations at distinct frequency bands dynamically support different aspects of visual processing.
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Affiliation(s)
- Lihong Chen
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China
- Research Center of Brain and Cognitive Neuroscience, Liaoning Normal University, Dalian, 116029, China
- Key Laboratory of Brain and Cognitive Neuroscience, Dalian, 116029, Liaoning Province, China
| | - Yi Jiang
- State Key Laboratory of Brain and Cognitive Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, China.
- Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, China.
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Fu C, Yang S, Zhai M, Yong T, Zheng C, Ma X, Hou G, Su P. The component and structure of interpersonal trust. Heliyon 2024; 10:e30071. [PMID: 38737289 PMCID: PMC11088264 DOI: 10.1016/j.heliyon.2024.e30071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Revised: 04/15/2024] [Accepted: 04/18/2024] [Indexed: 05/14/2024] Open
Abstract
Prior research has identified trust trait, trust expectation, trust risk and trust behavior as integral components of interpersonal trust. However, there still lack an in-depth exploration of the structural relationships among these integral components-how these integral components collectively constitute interpersonal trust. The current study innovatively proposed that interpersonal trust is anchored by individual trust trait, mediated by the dynamic equilibrium between trust risk and trust expectation, and culminates in trust behavior as the outcome. Interpersonal trust results from the synergistic interplay of individual and environmental factors. We called such structural relationships as the pyramid structure model of interpersonal trust, and proved its rationality by empirical evidence.
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Affiliation(s)
- Chao Fu
- Department of Psychology, School of Education, Qinghai Normal University, Xining, Qinghai, 810016, PR China
- Qinghai Cardio-Cerebrovascular Specialty Hospital, Qinghai High Altitude Medical Research Institute, Xining, 810012, PR China
| | - Shuai Yang
- Department of Psychology, School of Education, Qinghai Normal University, Xining, Qinghai, 810016, PR China
| | - Mengying Zhai
- Chengdu No.11 Kindergarten, Chengdu, Sichuan, 610042, PR China
| | - Tingjun Yong
- Department of Psychology, School of Education, Qinghai Normal University, Xining, Qinghai, 810016, PR China
- School of Education, Shaanxi Normal University, Xian, Shaanxi, 710062, PR China
| | - Chun Zheng
- Qinghai Cardio-Cerebrovascular Specialty Hospital, Qinghai High Altitude Medical Research Institute, Xining, 810012, PR China
- Department of Psychology, School of Education, Qinghai Minzu University, Xining, Qinghai, 810016, PR China
| | - Xueqin Ma
- Qinghai Cardio-Cerebrovascular Specialty Hospital, Qinghai High Altitude Medical Research Institute, Xining, 810012, PR China
- Department of Gastroenterology, Qinghai Cardio-Cerebrovascular Specialty Hospital, Xining, Qinghai, 810016, PR China
| | - Guangyan Hou
- Department of Psychology, School of Education, Qinghai Normal University, Xining, Qinghai, 810016, PR China
| | - Ping Su
- Department of Psychology, School of Education, Qinghai Normal University, Xining, Qinghai, 810016, PR China
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Vicente U, Ara A, Marco-Pallarés J. Intra- and inter-brain synchrony oscillations underlying social adjustment. Sci Rep 2023; 13:11211. [PMID: 37433866 DOI: 10.1038/s41598-023-38292-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Accepted: 07/06/2023] [Indexed: 07/13/2023] Open
Abstract
Humans naturally synchronize their behavior with other people. However, although it happens almost automatically, adjusting behavior and conformity to others is a complex phenomenon whose neural mechanisms are still yet to be understood entirely. The present experiment aimed to study the oscillatory synchronization mechanisms underlying automatic dyadic convergence in an EEG hyperscanning experiment. Thirty-six people performed a cooperative decision-making task where dyads had to guess the correct position of a point on a line. A reinforcement learning algorithm was used to model different aspects of the participants' behavior and their expectations of their peers. Intra- and inter-connectivity among electrode sites were assessed using inter-site phase clustering in three main frequency bands (theta, alpha, beta) using a two-level Bayesian mixed-effects modeling approach. The results showed two oscillatory synchronization dynamics related to attention and executive functions in alpha and reinforcement learning in theta. In addition, inter-brain synchrony was mainly driven by beta oscillations. This study contributes preliminary evidence on the phase-coherence mechanism underlying inter-personal behavioral adjustment.
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Affiliation(s)
- Unai Vicente
- Department of Cognition, Development and Educational Psychology, Faculty of Psychology, University of Barcelona, 08035, Barcelona, Spain.
- Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute, 08907, L'Hospitalet de Llobregat, Spain.
| | - Alberto Ara
- Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, H3A 2B4, Montreal, Canada
- BRAMS: International Laboratory for Brain, Music and Sound Research, H3C 3J7, Montreal, Canada
| | - Josep Marco-Pallarés
- Department of Cognition, Development and Educational Psychology, Faculty of Psychology, University of Barcelona, 08035, Barcelona, Spain.
- Cognition and Brain Plasticity Unit, Bellvitge Biomedical Research Institute, 08907, L'Hospitalet de Llobregat, Spain.
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