4.7 Article

Analyzing and shaping human attentional networks

期刊

NEURAL NETWORKS
卷 19, 期 9, 页码 1422-1429

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2006.08.004

关键词

alerting; DCM (Dynamic causal model for connectivity analysis); DTI (Diffusion tensor imaging); EEG frequency (electroencephalographic); fMRI (functional magnetic resonance imaging); executive attention; orienting; self-regulation

资金

  1. NICHD NIH HHS [HD38051] Funding Source: Medline

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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 (I)CM) 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. (c) 2006 Elsevier Ltd. All rights reserved.

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