ISSN 0439-755X
CN 11-1911/B
主办:中国心理学会
   中国科学院心理研究所
出版:科学出版社

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数学焦虑个体符号数字加工的神经机制

刘洁, 姚晓欢, 林悦帆, 严佩卿, 韩尚锋   

  1. 深圳大学心理学系, 广东 518060 中国
    深圳大学脑疾病与认知科学研究中心, 广东 518060 中国
    广东省佛山市顺德区容桂细滘小学, 广东 528000 中国
    广州大学心理学系, 广东 510006 中国
  • 收稿日期:2025-10-15 修回日期:2026-02-25 接受日期:2026-03-03
  • 基金资助:
    广东省哲学社会科学规划项目(GD24YXL01); 教育部人文社科项目(24YJC190009); 深港脑科学创新研究院(2023SHIBS0004); 脑科学与类脑研究国家科技重大专项(2021ZD0200500)

The symbolic numerical processing of mathematical anxious individual experimental dataset

  1. , 518060, China
    , 528000, China
    , 510006, China
  • Received:2025-10-15 Revised:2026-02-25 Accepted:2026-03-03
  • Supported by:
    Brain Science and Brain-like Intelligence Technology - National Science and Technology Major Project(2021ZD0200500)

摘要: 数学焦虑会削弱个体的符号数字加工能力,影响数学学业成就,但其在视觉知觉与数量概念加工环节的缺陷尚不明确。本研究招募高、低数学焦虑大学生各29名,采用非数字知觉、数字知觉和数字概念三种任务,结合事件相关电位、多变量模式分析和中介模型考察其神经机制。结果显示,高数学焦虑个体在视觉加工阶段N170波幅减弱,表明数字识别受损;在数量加工阶段P2P波幅增强,提示数量表征不精确。多变量分析发现其在区分数字与非数字刺激时更迟缓且准确率更低。中介效应进一步揭示,预期阶段P3波幅降低完全中介了数学焦虑对N170和P2P的影响,并溯源至顶内沟区域,提示情绪/认知控制缺陷是关键机制。综上,高数学焦虑个体在符号数字加工中存在从预期准备到视觉识别再到数量表征的多层次损伤,本研究为理解其神经机制与干预提供了新证据。

关键词: 数学焦虑, 符号数字, N170

Abstract: Mathematical anxiety impairs symbolic number processing, a foundational skill for mathematical achievement. However, the specific stages at which math anxiety exerts its influence—whether during early visual perception or later conceptual processing of Arabic numbers—remain poorly understood. This study aimed at enclosing which is the specific impaired cognitive component among high math-anxious (HMA) individuals, and further proposed that impairments in symbolic number processing among HMA people may originate during the pre-stimulus anticipation phase, characterized by reduced cognitive control, which in turn disrupts subsequent visual and conceptual processing stages. We hypothesized that HMA individuals would exhibit weakened anticipatory control, reflected in reduced P3 amplitude, leading to altered neural responses in both visual number recognition (N170) and number quantity representation (P2P). This theoretical perspective extends current models by emphasizing the proactive role of anticipatory mechanisms in MA-related deficits. A total of 454 university students were screened using the Shortened Mathematics Anxiety Rating Scale (sMARS) and the State-Trait Anxiety Inventory (STAI), from which 58 (29 HMA, 29 LMA) were recruited for the study. Each participant performed three computerized tasks: non-number perception, number perception, and number conceptual processing, while 64-channel EEG data were recorded. Event-related potentials (ERPs) were analyzed for the anticipatory P3, visual N170, and conceptual P2P components. Multivariate pattern analysis (MVPA) was applied to decode task-related neural representations across time. Mediation models tested whether anticipatory P3 mediated the relationship between math anxiety group and subsequent N170/P2P amplitudes. Source localization was performed using sLORETA to localize the brain regions of the critical P3 component. Behavioral analyses revealed no significant main effect of math anxiety group on accuracy or reaction time, though a significant interaction between group and task type was observed in reaction time. ERP results showed that HMA participants exhibited significantly reduced N170 amplitudes during number perception, indicating impaired visual number recognition, and significantly enhanced P2P amplitudes across both number tasks, suggesting less precise quantity representation. Multivariate pattern analysis (MVPA) demonstrated that HMA individuals were slower and less accurate in discriminating between number and non-number stimuli, with significant group differences in decoding accuracy within specific time windows. Critically, mediation analysis revealed that anticipatory P3 amplitude fully mediated the effect of math anxiety group on both N170 and P2P amplitudes in the number perception task. A serial mediation model further indicated a significant path from math anxiety group → P3 → N170 → P2P. Source localization traced the P3 component to the intraparietal sulcus, implicating impaired emotion and cognitive control during anticipation as a key mechanism. This study revealed that math anxiety disrupts symbolic number processing across multiple cognitive and neural stages—beginning with anticipatory control, extending to visual recognition, and affecting later quantity representation. The findings provide novel evidence that these impairments are rooted in pre-stimulus cognitive-emotional dysregulation, rather than being limited to post-stimulus processing stages. These findings extend existing theoretical models by emphasizing the role of anticipatory mechanisms and offer new targets for interventions aimed at improving early attentional and emotional regulation in math-anxious individuals.