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

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 t...

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Autores principales: Hao, Xin, Chen, Zhencai, Huang, Taicheng, Song, Yiying, Kong, Xiangzhen, Liu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713938/
https://www.ncbi.nlm.nih.gov/pubmed/36466623
http://dx.doi.org/10.3389/fnhum.2022.972375
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author Hao, Xin
Chen, Zhencai
Huang, Taicheng
Song, Yiying
Kong, Xiangzhen
Liu, Jia
author_facet Hao, Xin
Chen, Zhencai
Huang, Taicheng
Song, Yiying
Kong, Xiangzhen
Liu, Jia
author_sort Hao, Xin
collection PubMed
description 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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spelling pubmed-97139382022-12-02 Dissociation of categorical and coordinate spatial relations on dynamic network organization states Hao, Xin Chen, Zhencai Huang, Taicheng Song, Yiying Kong, Xiangzhen Liu, Jia Front Hum Neurosci Neuroscience 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. Frontiers Media S.A. 2022-11-17 /pmc/articles/PMC9713938/ /pubmed/36466623 http://dx.doi.org/10.3389/fnhum.2022.972375 Text en Copyright © 2022 Hao, Chen, Huang, Song, Kong and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Hao, Xin
Chen, Zhencai
Huang, Taicheng
Song, Yiying
Kong, Xiangzhen
Liu, Jia
Dissociation of categorical and coordinate spatial relations on dynamic network organization states
title Dissociation of categorical and coordinate spatial relations on dynamic network organization states
title_full Dissociation of categorical and coordinate spatial relations on dynamic network organization states
title_fullStr Dissociation of categorical and coordinate spatial relations on dynamic network organization states
title_full_unstemmed Dissociation of categorical and coordinate spatial relations on dynamic network organization states
title_short Dissociation of categorical and coordinate spatial relations on dynamic network organization states
title_sort dissociation of categorical and coordinate spatial relations on dynamic network organization states
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9713938/
https://www.ncbi.nlm.nih.gov/pubmed/36466623
http://dx.doi.org/10.3389/fnhum.2022.972375
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