Back to articles
Article
Volume: 35 | Article ID: HVEI-256
Image
Spatial cognition training rapidly induces cortical plasticity in blind navigation: Transfer of training effect & Granger causal connectivity analysis
  DOI :  10.2352/EI.2023.35.10.HVEI-256  Published OnlineJanuary 2023
Abstract
Abstract

Successful navigation requires spatial cognition abilities, primarily the development of an accurate and flexible mental, or cognitive, map of the navigational space and of the route trajectory required to travel to the target location. To train the spatial cognition abilities and spatial memory underlying successful navigation, we translated the power of the Likova Cognitive-Kinesthetic Rehabilitation Training, initially developed for the manual domain of operation, to the domain of navigation. In the tasks requiring the mentally-performed navigational decision planning (planning the shortest or the reversed shortest path between newly-specified locations on a just memorized tactile map) and memory-guided motor execution of these decisions (accurate drawing the respective planned paths), the most significant brain activation increase was found in the two medial posterior cortical regions (DLPFC, insula), in contrast to a very little change in the lateral anterior regions (occipital V1-V4, the retrosplenial/precuneus) for most of these tasks. By extending our previous findings from the manual to the navigation domain, these results demonstrate the power of a multidisciplinary approach incorporating art, behavioral and neuroscience methodologies to drive much-needed plasticity in the adult brain.

Subject Areas :
Views 46
Downloads 12
 articleview.views 46
 articleview.downloads 12
  Cite this article 

Lora T. Likova, Zhangziyi Zhou, Michael Liang, Christopher W. Tyler, "Spatial cognition training rapidly induces cortical plasticity in blind navigation: Transfer of training effect & Granger causal connectivity analysisin Electronic Imaging,  2023,  pp 256-1 - 256-12,  https://doi.org/10.2352/EI.2023.35.10.HVEI-256

 Copy citation
  Copyright statement 
Copyright © 2023, Society for Imaging Science and Technology 2023
ei
Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA