Bibliographic Details
| Title: |
Neural Network Configuration and Efficiency Underlies Individual Differences in Spatial Orientation Ability. |
| Authors: |
Arnold, Aiden E. G. F., Protzner, Andrea B., Bray, Signe, Levy, Richard M., Iaria, Giuseppe |
| Source: |
Journal of Cognitive Neuroscience. 2014, Vol. 26 Issue 2, p380-394. 15p. 2 Diagrams, 2 Charts, 4 Graphs. |
| Subjects: |
Neural circuitry, Spatial ability, Accuracy, Psychology, Functional analysis, Cognition, Cognitive neuroscience |
| Abstract: |
Spatial orientation is a complex cognitive process requiring the integration of information processed in a distributed system of brain regions. Current models on the neural basis of spatial orientation are based primarily on the functional role of single brain regions, with limited understanding of how interaction among these brain regions relates to behavior. In this study, we investigated two sources of variability in the neural networks that support spatial orientation--network configuration and efficiency--and assessed whether variability in these topological properties relates to individual differences in orientation accuracy. Participants with higher accuracy were shown to express greater activity in the right supramarginal gyrus, the right pre central cortex, and the left hippocampus, over and above a core network engaged by the whole group. Additionally, high-performing individuals had increased levels of global efficiency within a resting-state network composed of brain regions engaged during orientation and increased levels of node centrality in the right supramarginal gyrus, the right primary motor cortex, and the left hippocampus. These results indicate that individual differences in the configuration of task-related networks and their efficiency measured at rest relate to the ability to spatially orient. Our findings advance systems neuroscience models of orientation and navigation by providing insight into the role of functional integration in shaping orientation behavior. [ABSTRACT FROM AUTHOR] |
|
Copyright of Journal of Cognitive Neuroscience is the property of MIT Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Psychology and Behavioral Sciences Collection |