ISSN 1671-3710
CN 11-4766/R
主办:中国科学院心理研究所
出版:科学出版社

心理科学进展 ›› 2025, Vol. 33 ›› Issue (6): 1027-1035.doi: 10.3724/SP.J.1042.2025.1027 cstr: 32111.14.2025.1027

• 研究构想 • 上一篇    下一篇

自我中心与非自我中心空间参考系转换的神经机制

刘佳丽1,2, 赵海潮1,2, 何清华1,2()   

  1. 1西南大学心理学部
    2西南大学认知与人格教育部重点实验室, 重庆 400715
  • 收稿日期:2024-12-18 出版日期:2025-06-15 发布日期:2025-04-09
  • 通讯作者: 何清华, E-mail: heqinghua@swu.edu.cn
  • 基金资助:
    国家自然科学基金青年项目(32400867)

Neural mechanisms underlying the transformation between egocentric and allocentric spatial reference frames

LIU Jiali1,2, ZHAO Haichao1,2, HE Qinghua1,2()   

  1. 1Department of Psychology, Southwest University
    2Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University, Chongqing 400715, China
  • Received:2024-12-18 Online:2025-06-15 Published:2025-04-09

摘要:

生物利用自我中心和非自我中心两种参考系表征空间信息, 二者的相互转换是认知地图的形成与应用的关键。前人研究提出顶叶−压后皮质−内侧颞叶环路支持空间参考系的转换, 但其具体作用机制尚不清楚。本研究以计算模型为指导, 拟采用颅内脑电记录技术, 从以下三方面探究空间参考系转换的神经机制: 1)顶叶−压后皮质−内侧颞叶对自我、非自我中心空间信息的动态表征; 2)压后皮质对联合自我−非自我中心空间信息的表征机制; 3)顶叶、压后皮质以及内侧颞叶脑区在参考系转换过程中的信息交互。在此基础上, 本研究拟利用深部电刺激技术, 在安全范围内对压后皮质施加电刺激, 探索参考系转换的因果机制。本研究不仅有助于丰富空间导航相关理论框架, 也可为空间认知老化的干预提供指导。

关键词: 空间参考系, 自我中心空间表征, 非自我中心空间表征, 认知地图, 颅内脑电

Abstract:

Organisms use two spatial reference frames to represent spatial information: the egocentric frame (i.e., self-centered, defined relative to the subject) and allocentric frames (i.e., a world-centered). The transformation between these two frames is essential for forming and applying cognitive maps. One widely recognized model, proposed by Bicanski and Burgess (BB model), suggests that the coordinated activity of the parietal cortex, retrosplenial cortex, and the medial temporal lobe networks underpins spatial reference frame transformation. Specifically, during spatial learning, the processed sensory information forms the egocentric representations in the parietal cortex. The retrosplenial cortex integrating this egocentric information and the head direction signal from the limbic regions (i.e., the anterior nucleus of the thalamus), which are then projected to the medial temporal lobe, where allocentric representations are formed. The reverse process facilitates the transformation from allocentric to egocentric frames, which is crucial for memory retrieval, imagination, and action execution.

Despite a substantial body of empirical research has been conducted surrounding this model, several unresolved issues remain: 1) the topological organization of egocentric and allocentric representations in the parietal-retrosplenial-temporal lobe loop is still debated; 2) it is unclear whether the human retrosplenial cortex supports joint representations of egocentric and allocentric information as seen in rodents, or if it is the sole brain region responsible for combining these spatial variables; 3) the hypothesized flow of information during spatial reference frame transformation still lacks experimental support. 4) there is a lack of causal evidence regarding the neural mechanisms underlying spatial reference frame transformation.

To address these questions, we propose propose 3 studies. In Studies 1 and 2, we will investigate the dynamic representation of egocentric, allocentric, and joint spatial information, as well as cross-brain communication within the parietal-retrosplenial-temporal lobe loop during spatial reference frame transformation, using high spatial-temporal resolution intracranial EEG. In Study 3, we will causally test the role of this neural loop in reference frame transformation and explore electrical stimulation protocols to enhance spatial reference frame transformation abilities using deep brain stimulation (DBS).

Studies 1 and 2 will recruit refractory epilepsy patients with electrodes implanted in the parietal cortex, retrosplenial cortex, and medial temporal lobe, who will perform a spatial memory task. Study 1 will focus on the direction learning phase (egocentric to allocentric transformation), where participants learn the directions of target buildings from a first-person perspective with different head direction, later identifying these directions on a global map. EEG time-frequency signals will be used to decode egocentric and allocentric target directions and head direction signals, identifying which brain regions within the parietal-retrosplenial-temporal lobe loop represent these spatial variables. Further, using Granger causality analysis and cross-frequency coupling analysis, we will investigate the information flow between brain areas which represent allocentric and egocentric information during time periods that can significantly decode these variables, and correlate the information flow with learning performance. Representational similarity analysis will be used to explore joint encoding of egocentric target directions and head directions by the retrosplenial cortex. Study 2 will focus on the direction testing phase (allocentric to egocentric transformation), where participants will convert memorized allocentric target directions into egocentric ones. The analysis will follow the same methodology as Study 1. In Study 3, we will investigate how electrical stimulation affects the conversion process from egocentric to allocentric reference frames. Refractory epilepsy patients with electrodes implanted in the retrosplenial cortex and medial temporal lobe will participate in a path integration task. Participants will use either an allocentric or an egocentric strategy during the task. Different stimulation protocols (50 Hz, theta-burst, or no stimulation) will be applied to the retrosplenial cortex to assess how these patterns affect behavioral performance with allocentric strategies.

This research combines computational models and multimodal neurotechnology to investigate the neural mechanisms of spatial reference frame transformation. It aims to uncover the topographical distribution of egocentric and allocentric representations in the brain, explore the role of low-frequency neural oscillations in cross-brain communication during reference frame transformation, and validate the causal role of the retrosplenial cortex in this process. These findings will not only provide evidence for existing computational models but also contribute to translating spatial navigation theory into clinical interventions.

Key words: spatial reference frame, egocentric spatial representation, allocentric spatial representation, cognitive map, intracranial EEG

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