A partially shared magnitude system: Common and specialized neural substrates underlying spatial, numerical, and temporal arithmetic

IF 5.3 2区 医学 Q1 NEUROIMAGING
NeuroImage Pub Date : 2026-03-01 Epub Date: 2026-02-11 DOI:10.1016/j.neuroimage.2026.121800
Liangzhi Jia , Zhiwei Zhang , Chengtao Wang , Yuanyi Liu , Fangwen Yu , Di Zhang , Yun Pan
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引用次数: 0

Abstract

Magnitude, such as time, space and number, constitutes a foundational construction of perceptual and cognitive experience. A Theory of Magnitude proposes that these dimensions are processed by a shared magnitude system. However, it remains unclear how this system supports the manipulation of multiple continuous magnitude information, such as arithmetic operation across domains and whether it operates as a fully shared or partially specialized subsystem. Using functional magnetic resonance imaging, we investigated magnitude arithmetic in numerical, spatial and temporal domains. Conjunction analyses were conducted at each arithmetic stage (first operand, second operand, and probe) to identify overlapping activations across magnitude dimensions. To explore domain-specific differences, voxel-wise factorial ANOVA and task-dependent functional connectivity analyses were applied. Conjunction analyses revealed several overlapping neural substrates at each stage, including key components of the magnitude system. Voxel-wise factorial ANOVA demonstrated that numerical and spatial arithmetic showed greater activation in the bilateral superior occipital gyrus and left middle occipital gyrus, whereas temporal arithmetic elicited stronger activation in left precentral gyrus. Functional connectivity analyses revealed that temporal arithmetic showed greater coupling with bilateral precentral gyrus and cerebellum, whereas numerical and spatial arithmetic elicited stronger coupling with left inferior occipital gyrus, by using bilateral IPS as seed regions. In summary, arithmetic across different magnitude domains relies on a shared magnitude network, with numerical and spatial operations depending on visuospatial mechanisms while temporal operations depend on sensorimotor mechanisms. This dissociation indicates that static and dynamic magnitudes are supported by distinct subsystems, providing evidence for a partially shared magnitude system.
一个部分共享的星等系统:空间、数值和时间算法的共同和专门的神经基质。
量,如时间、空间和数量,构成了感知和认知经验的基础结构。一个数量级理论提出这些维度是由一个共享的数量级系统处理的。然而,目前尚不清楚该系统如何支持多个连续量级信息的操作,例如跨域的算术运算,以及它是作为一个完全共享的还是部分专门化的子系统运行。利用功能磁共振成像,我们研究了数值、空间和时间域的数量级算法。在每个算术阶段(第一个操作数、第二个操作数和探针)进行连接分析,以确定跨量级维度的重叠激活。为了探索特定领域的差异,采用了体素因子方差分析和任务相关功能连通性分析。结合分析显示,在每个阶段有几个重叠的神经基质,包括数量级系统的关键组成部分。体素因子方差分析显示,数值和空间算法在双侧枕上回和左侧枕中回激活更大,而时间算法在左侧中央前回激活更强。功能连通性分析表明,时间算术与双侧中央前回和小脑的耦合更强,而数值和空间算术与左枕下回的耦合更强,以双侧IPS为种子区。总之,不同数量级域的运算依赖于一个共享的数量级网络,其中数值和空间运算依赖于视觉空间机制,而时间运算依赖于感觉运动机制。这种分离表明静态和动态星等由不同的子系统支持,为部分共享星等系统提供了证据。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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