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Neuropsychology 3.0: Evidence-Based Science and Practice

  • Robert M. Bilder (a1) (a2) (a3)
Abstract
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)

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Corresponding author
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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This list contains references from the content that can be linked to their source. For a full set of references and notes please see the PDF or HTML where available.

V. Jagaroo (2009). Obstacles and aids to neuroinformatics in neuropsychology. In: Neuroinformatics for neuropsychology (pp. 8593). New York: Springer.

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Journal of the International Neuropsychological Society
  • ISSN: 1355-6177
  • EISSN: 1469-7661
  • URL: /core/journals/journal-of-the-international-neuropsychological-society
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