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Neural basis of topographical disorientation in the primate posterior cingulate gyrus based on a labeled graph.

Authors :
Yu Y
Setogawa T
Matsumoto J
Nishimaru H
Nishijo H
Source :
AIMS neuroscience [AIMS Neurosci] 2022 Sep 09; Vol. 9 (3), pp. 373-394. Date of Electronic Publication: 2022 Sep 09 (Print Publication: 2022).
Publication Year :
2022

Abstract

Patients with lesions in the posterior cingulate gyrus (PCG), including the retrosplenial cortex (RSC) and posterior cingulate cortex (PCC), cannot navigate in familiar environments, nor draw routes on a 2D map of the familiar environments. This suggests that the topographical knowledge of the environments (i.e., cognitive map) to find the right route to a goal is represented in the PCG, and the patients lack such knowledge. However, theoretical backgrounds in neuronal levels for these symptoms in primates are unclear. Recent behavioral studies suggest that human spatial knowledge is constructed based on a labeled graph that consists of topological connections (edges) between places (nodes), where local metric information, such as distances between nodes (edge weights) and angles between edges (node labels), are incorporated. We hypothesize that the population neural activity in the PCG may represent such knowledge based on a labeled graph to encode routes in both 3D environments and 2D maps. Since no previous data are available to test the hypothesis, we recorded PCG neuronal activity from a monkey during performance of virtual navigation and map drawing-like tasks. The results indicated that most PCG neurons responded differentially to spatial parameters of the environments, including the place, head direction, and reward delivery at specific reward areas. The labeled graph-based analyses of the data suggest that the population activity of the PCG neurons represents the distance traveled, locations, movement direction, and navigation routes in the 3D and 2D virtual environments. These results support the hypothesis and provide a neuronal basis for the labeled graph-based representation of a familiar environment, consistent with PCG functions inferred from the human clinicopathological studies.<br />Competing Interests: Conflict of interest: The authors declare no conflict of interest.<br /> (© 2022 the Author(s), licensee AIMS Press.)

Details

Language :
English
ISSN :
2373-7972
Volume :
9
Issue :
3
Database :
MEDLINE
Journal :
AIMS neuroscience
Publication Type :
Academic Journal
Accession number :
36329903
Full Text :
https://doi.org/10.3934/Neuroscience.2022021