Research on attention networks as a model for the integration of psychological science

• Published in: Annual review of psychology Vol. 58; p. 1
• Main Authors: Posner, Michael I, Rothbart, Mary K
• Format: Journal Article
• Language: English
• Published: United States 2007
• Subjects: Attention - physiology; Attention Deficit Disorder with Hyperactivity - physiopathology; Attention Deficit Disorder with Hyperactivity - psychology; Behavior - physiology; Brain - physiopathology; Child; Child, Preschool; Culture; Humans; Infant; Models, Psychological; Nerve Net - physiopathology; Neuropsychology; Psychology; Socialization; Temperament - physiology
• ISSN: 0066-4308; 1545-2085
• DOI: 10.1146/annurev.psych.58.110405.085516

As Titchener pointed out more than one hundred years ago, attention is at the center of the psychological enterprise. Attention research investigates how voluntary control and subjective experience arise from and regulate our behavior. In recent years, attention has been one of the fastest growing of all fields within cognitive psychology and cognitive neuroscience. This review examines attention as characterized by linking common neural networks with individual differences in their efficient utilization. The development of attentional networks is partly specified by genes, but is also open to specific experiences through the actions of caregivers and the culture. We believe that the connection between neural networks, genes, and socialization provides a common approach to all aspects of human cognition and emotion. Pursuit of this approach can provide a basis for psychology that unifies social, cultural, differential, experimental, and physiological areas, and allows normal development to serve as a baseline for understanding various forms of pathology. D.O. Hebb proposed this approach 50 years ago in his volume Organization of Behavior and continued with introductory textbooks that dealt with all of the topics of psychology in a common framework. Use of a common network approach to psychological science may allow a foundation for predicting and understanding human behavior in its varied forms.