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Neuropsychology 3.0: Evidence-Based Science and Practice

Published online by Cambridge University Press:  19 November 2010

Robert M. Bilder
Robert M. Bilder*
Affiliation:
Jane and Terry Semel Institute for Neuroscience & Human Behavior at UCLA, Los Angeles, California Department of Psychiatry & Biobehavioral Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California Department of Psychology, UCLA College of Letters & Science, Los Angeles, California
*
Correspondence and reprint requests to: Robert M. Bilder, PhD, Semel Institute at UCLA, 740 Westwood Plaza, Room C8-849, Los Angeles, CA 90095. E-mail: rbilder@mednet.ucla.edu
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Abstract

Neuropsychology is poised for transformations of its concepts and methods, leveraging advances in neuroimaging, the human genome project, psychometric theory, and information technologies. It is argued that a paradigm shift toward evidence-based science and practice can be enabled by innovations, including (1) formal definition of neuropsychological concepts and tasks in cognitive ontologies; (2) creation of collaborative neuropsychological knowledgebases; and (3) design of Web-based assessment methods that permit free development, large-sample implementation, and dynamic refinement of neuropsychological tests and the constructs these aim to assess. This article considers these opportunities, highlights selected obstacles, and offers suggestions for stepwise progress toward these goals. (JINS, 2011, 17, 000–000)

Keywords

NeuropsychologyGenomicsPsychological theoryPsychological testsInformation scienceBrain
Type
Short Reviews
Information
Journal of the International Neuropsychological Society , Volume 17 , Issue 1 , January 2011 , pp. 7 - 13
Copyright
Copyright © The International Neuropsychological Society 2010

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