A neural informatics approach to cognitive assessment and monitoring

Holly B. Jimison, Misha Pavel, Katherine Wild, Payton Bissell, James McKanna, Daniel Blaker, Devin Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Scopus citations

Abstract

Traditional methods of cognitive assessment using neuropsychological tests are expensive and time consuming. These methods do not lend themselves to frequent monitoring and trend detection. In this paper, we describe a method for using enjoyable computer games with embedded cognitive metrics to monitor within-subject trends in performance. We have created a set of 9 computer games to specifically measure various cognitive domains that are normally administered in routine neuropsychological assessments, such as verbal fluency, working memory, attention, and planning. Although the measurements are not taken in a controlled setting, there are distinct advantages to being able to collect data frequently in a naturalistic setting. Routine measurements over time allow us to detect trends in various aspects of cognitive performance and avoid biases due to education, culture, and experience.

Original languageEnglish (US)
Title of host publicationProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering
Pages696-699
Number of pages4
DOIs
StatePublished - Sep 25 2007
Event3rd International IEEE EMBS Conference on Neural Engineering - Kohala Coast, HI, United States
Duration: May 2 2007May 5 2007

Publication series

NameProceedings of the 3rd International IEEE EMBS Conference on Neural Engineering

Other

Other3rd International IEEE EMBS Conference on Neural Engineering
CountryUnited States
CityKohala Coast, HI
Period5/2/075/5/07

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Neuroscience (miscellaneous)

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  • Cite this

    Jimison, H. B., Pavel, M., Wild, K., Bissell, P., McKanna, J., Blaker, D., & Williams, D. (2007). A neural informatics approach to cognitive assessment and monitoring. In Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering (pp. 696-699). [4227373] (Proceedings of the 3rd International IEEE EMBS Conference on Neural Engineering). https://doi.org/10.1109/CNE.2007.369768