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Neuropsychology 3.0: evidence-based science and practice
1Jane and Terry Semel Institute for Neuroscience & Human Behavior at UCLA, Los Angeles, California 90095, USA. rbilder@mednet.ucla.edu
Journal of the International Neuropsychological Society : JINS
|November 25, 2010
Summary
Neuropsychology is advancing with new technologies like neuroimaging and big data. Innovations in cognitive ontologies, knowledgebases, and web-based assessments will drive evidence-based practice.
Area of Science:
- Neuropsychology
- Cognitive Science
- Information Technology
Background:
- Neuropsychology is undergoing significant conceptual and methodological evolution.
- Advances in neuroimaging, genomics, psychometrics, and IT are key drivers.
- A shift towards evidence-based science and practice is anticipated.
Observation:
- Formal definition of neuropsychological concepts using cognitive ontologies.
- Development of collaborative neuropsychological knowledgebases.
- Implementation of web-based assessment methods for dynamic refinement.
Findings:
- Innovations can enable a paradigm shift in neuropsychology.
- Cognitive ontologies offer formal definitions for concepts and tasks.
- Collaborative knowledgebases and web-based assessments facilitate large-scale research and test refinement.
Implications:
- These advancements promise more robust and dynamic neuropsychological assessments.
- The integration of technology and structured data will enhance scientific rigor.
- Stepwise progress is suggested to overcome identified obstacles in adopting these innovations.
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