Virtual Kitchen Test: Assessing frontal lobe functions in patients with alcohol dependence syndrome

Pedro Gamito, J. Oliveira, C. Caires, D. Morais, R. Brito, P. Lopes, T. Saraiva, F. Soares, C. Sottomayor, F. Barata, F. Picareli, M. Prates, C. Santos

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on "New Methodologies for Patients Rehabilitation". Background: The ecological validity of paper-and-pencil neuropsychological tests is currently a matter of debate. Arguments in favor of alternatives indicate that paper-andpencil forms are unable to account for both mental and functional aspects of cognitive functioning. Objectives: In this study we developed a new neuropsychological evaluation test - the Virtual Kitchen Test (VKT) - devised to evaluate frontal brain functioning in cognitively impaired individuals. We designed this test according to the rationale of the Trail Making Test (TMT), in order to capture frontal lobe abilities during a more ecologically valid task. Methods: Forty-nine participants, 25 from a clinical sample of patients diagnosed with Alcohol Dependence Syndrome, plus 24 healthy participants. Results: Execution errors and task completion time were significantly higher in the clinical sample. Also, scores on the new VKT showed moderate to high positive correlations with scores on the TMT. Furthermore, the overall discriminant performance of the VKT was high for both of its indicators. Conclusions: Overall results support the ability of the VKT to evaluate frontal lobe functions. The best cut-off scores based on this sample are discussed.

Original languageEnglish
Pages (from-to)122-126
Number of pages5
JournalMethods of Information in Medicine
Volume54
Issue number2
DOIs
Publication statusPublished - 2015

Bibliographical note

Publisher Copyright:
© Schattauer 2015.

Keywords

  • Alcohol dependence syndrome
  • Cognitive assessment
  • Frontal functions
  • mHealth

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