2006 Special Issue: Analyzing and shaping human attentional networks

  • Authors:

  • Michael I. Posner;Brad E. Sheese;Yalçin Odludaş;YiYuan Tang

  • Affiliations:

  • Department of Psychology, University of Oregon, Eugene, OR, USA;Department of Psychology, University of Oregon, Eugene, OR, USA;Department of Psychology, University of Oregon, Eugene, OR, USA;Institute of Neuroinformatics, Dailan University of Technology, China and Department of Psychology, University of Oregon, Eugene, OR, USA

  • Venue:
  • Neural Networks
  • Year:
  • 2006

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Abstract

In this paper we outline a conception of attentional networks arising from imaging studies as connections between activated brain areas carrying out localized mental operations. We consider both the areas of functional activation (nodes) and the structural (DTI) and functional connections (DCM) between them in real time (EEG, frequency analysis) as important tools in analyzing the network. The efficiency of network function involves the time course of activation of nodes and their connectivity to other areas of the network. We outline landmarks in the development of brain networks underlying executive attention from infancy and childhood. We use individual differences in network efficiency to examine genetic alleles that are related to performance. We consider how animal studies might be used to determine the genes that influence network development. Finally we indicate how training may aid in enhancing attentional networks. Our goal is to show the wide range of methods that can be used to suggest and analyze models of network function in the study of attention.