Greeshma Sharma¹*, Ankita Gupta², Vijander Singh³ and Sushil Chandra⁴

¹Neuro-XR Group, AI- Division, Centre for Development of Advanced Computing (CDAC)-Delhi, India
²Computer Science Department, Banasthali Vidyapith, Rajasthan, India
³Instrumentation and Control Engineering (ICE), Netaji Subhas University of Technology (NSUT), Delhi, India
⁴Biomedical Engineering Department, Institute of Nuclear Medicine and Allied Sciences (INMAS), DRDO-Delhi, India

*Corresponding Author: Greeshma Sharma, Neuro-XR Group, AI- Division, Centre for Development of Advanced Computing (CDAC)-Delhi, India.

Received: May 12, 2023; Published: June 26, 2023

Abstract

The present study examined the beta band electroencephalographic functional connectivity between various brain regions during different stages of spatial navigation: Planning of route, Navigation through a virtual maze, and Recall of travelled path, for navigators classified as good or bad. Coherence was used to compute functional connectivity. A graph theoretical analysis was used to quantify the organizational features of functional networks at each stage in order to identify key topological differences due to different stages or individual differences. The results reveal a reduction in the indices of modularity and small worldness during Navigation in comparison to the indices at Rest and the radius was significantly higher during Planning as compared to Navigation and Recall. Additionally, the highest degree and transitivity were observed for good navigators as compared to higher the global efficiency for poor navigators. Altogether, these results suggest that different stages of a spatial navigation task as well as differences in navigational abilities induce significant changes in the functional connectivity, that can be measured using coherence and graph theoretical analyses.

Keywords: Functional; Connectivity; Navigation

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Citation

Citation: Greeshma Sharma., et al. “Functional Connectivity Difference for Navigation Ability". Acta Scientific Neurology 6.7 (2023): 32-38.

Copyright

Copyright: © 2023 Greeshma Sharma., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.