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Using Behavior Measurement to Estimate Cognitive Function Based on Computational Models

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Cognitive Informatics in Health and Biomedicine

Part of the book series: Health Informatics ((HI))

Abstract

The measurement of cognitive performance is important in diagnosing and monitoring interventions for a wide variety of neurological conditions, such as dementias (Alzheimer’s, vascular, etc.), multiple sclerosis, Parkinson’s disease, and stroke recovery. These risk factors for cognitive decline are further aggravated with advancing age. The encouraging news is that recent research has shown that there is significant neuroplasticity in the adult brain, and that even the elderly are capable of achieving measurable changes in brain organization and function. Maximizing effectiveness of such interventions requires continuous (or at least very frequent), unobtrusive assessment of cognitive functions. This chapter describes how new behavioral informatics with computational models can be used to assess various cognitive functions in the wild and over time using new behavioral metrics, including walking speed, computer interactions and embedded measures in cognitive computer games. This new approach to cognitive monitoring offers substantial improvements over conventional infrequent assessments performed in the clinic. Namely, repeated measures in the home environment offer the ability to measure within-subject trends and potentially detect cognitive problems and intervene at an earlier stage.

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Authors and Affiliations

  1. College of Computer and Information Science and Bouve College of Health Sciences, Northeastern University, 360 Huntington Ave, 177–909, Boston, MA, 02115, USA

    Misha Pavel Ph.D. & Holly Jimison Ph.D.

  2. College of Engineering, Northeastern University, Boston, MA, USA

    Stuart Hagler Ph.D. & James McKanna B.A.

Authors
  1. Misha Pavel Ph.D.
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  2. Holly Jimison Ph.D.
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  3. Stuart Hagler Ph.D.
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  4. James McKanna B.A.
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Correspondence to Misha Pavel Ph.D. .

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Editors and Affiliations

  1. The New York Academy of Medicine, New York, NY, USA

    Vimla L. Patel

  2. University of Waterloo, Waterloo, ON, Canada

    Jose F. Arocha

  3. Weill Cornell Medical College, New York, NY, USA

    Jessica S. Ancker

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Pavel, M., Jimison, H., Hagler, S., McKanna, J. (2017). Using Behavior Measurement to Estimate Cognitive Function Based on Computational Models. In: Patel, V., Arocha, J., Ancker, J. (eds) Cognitive Informatics in Health and Biomedicine. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-51732-2_7

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