The Evolution and Future Development of Attention Networks

Author:

Posner Michael I1ORCID

Affiliation:

1. Department of Psychology, Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA

Abstract

The goal of this paper is to examine how the development of attention networks has left many important issues unsolved and to propose possible directions for solving them by combining human and animal studies. The paper starts with evidence from citation mapping that indicates attention has played a central role in integrating cognitive and neural studies into Cognitive Neuroscience. The integration of the fields depends in part upon similarities and differences in performance over a wide variety of animals. In the case of exogenous orienting of attention primates, rodents and humans are quite similar, but this is not so with executive control. In humans, attention networks continue to develop at different rates during infancy and childhood and into adulthood. From age four on, the Attention Network Test (ANT) allows measurement of individual differences in the alerting, orienting and executive networks. Overt and covert orienting do overlap in their anatomy, but there is evidence of some degree of functional independence at the cellular level. The attention networks frequently work together with sensory, memory and other networks. Integration of animal and human studies may be advanced by examining common genes involved in individual attention networks or their integration with other brain networks. Attention networks involve widely scattered computation nodes in different brain areas, both cortical and subcortical. Future studies need to attend to the white matter that connects them and the direction of information flow during task performance.

Funder

Office of Naval Research

Publisher

MDPI AG

Subject

Cognitive Neuroscience,Developmental and Educational Psychology,Education,Experimental and Cognitive Psychology

Reference37 articles.

1. Rethinking retrosplenial cortex: Perspectives and predictions;Alexander;Neuron,2022

2. Mapping the Semantic Structure of Cognitive Neuroscience;Beam;Journal of Cognitive Neuroscience,2014

3. Posner, Michael I. (2004). Cognitive Neuroscience of Attention, Guilford.

4. Tracking the development of specific and generalized representations during concept learning;Bowman;Journal of Neuroscience,2018

5. Can we talk? How the cognitive neuroscience of attention emerged from neurobiology and psychology, 1980–2005;Bruer;Scientometrics,2010

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