Frontiers in Human Neuroscience (Nov 2022)

Dissociation of categorical and coordinate spatial relations on dynamic network organization states

  • Xin Hao,
  • Xin Hao,
  • Zhencai Chen,
  • Taicheng Huang,
  • Yiying Song,
  • Xiangzhen Kong,
  • Jia Liu

DOI
https://doi.org/10.3389/fnhum.2022.972375
Journal volume & issue
Vol. 16

Abstract

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Humans can flexibly represent both categorical and coordinate spatial relations. Previous research has mainly focused on hemisphere lateralization in representing these two types of spatial relations, but little is known about how distinct network organization states support representations of the two. Here we used dynamic resting-state functional connectivity (FC) to explore this question. To do this, we separated a meta-identified navigation network into a ventral and two other subnetworks. We revealed a Weak State and a Strong State within the ventral subnetwork and a Negative State and a Positive State between the ventral and other subnetworks. Further, we found the Weak State (i.e., weak but positive FC) within the ventral subnetwork was related to the ability of categorical relation recognition, suggesting that the representation of categorical spatial relations was related to weak integration among focal regions in the navigation network. In contrast, the Negative State (i.e., negative FC) between the ventral and other subnetworks was associated with the ability of coordinate relation processing, suggesting that the representation of coordinate spatial relations may require competitive interactions among widely distributed regions. In sum, our study provides the first empirical evidence revealing different focal and distributed organizations of the navigation network in representing different types of spatial information.

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