Evidence of impaired facial emotion recognition in mild Alzheimer's disease: A mathematical approach and application

Philippe Granato, Shreekumar Vinekar, Jean-Pierre Van Gansberghe, Raymond Bruyer
2012 Open Journal of Psychiatry  
Objectives: The first objective of this paper is to show the improved binary outcomes resulting from using MARIE as a diagnostic instrument that allows valid and reliable visual recognition of facial emotional expressions (VRFEE) in an objective and quantitative manner. The second objective is to demonstrate mathematical modeling of binary responses that allow the measurement of categorical dimension, sensitivity, camber, equilibrium points, transition thresholds, etc. The final objective is to
more » ... nal objective is to illustrate the use of this test for 1) testing a homogeneous sample of healthy young participants; and 2) applying this method to a sample of 12 participants with early Alzheimer disease compared to a matched control sample of healthy elderly participants. Design: Transforming the binary outcomes of MARIE in mathematical variables (experiment 1), allowing verification of a disorder of VRFEE in early Alzheimer's disease (experiment 2). Measures: Comparison of numerical variables and graphic representations of both samples. Results: The objective measurement of VRFEE is possible in a healthy population. The application of this methodology to a pathological population is also made possible. The results support the current literature. Conclusion: The combination of the mathematical method with the diagnostic instrument MARIE shows its power and ease of use in clinical practice and research. Its application in many clinical conditions and in clinical research can be useful for understanding brain function. This method improves 1) the inter-examiner comparison and standardizes the quantification of VRFEE for use by multiple researchers; 2) the followup of a sample over time; 3) the comparison of two or more samples. This method is already available in clinical work for refining the diagnosis of Alzheimer's Disease (AD) in our department. Abscissa second equilibrium point 99.556 92.501 99.387 97.036 99.524 94.609 100.01 96.644 97.018 96.748 96.096 94.038 Maximum differentials left 23.182 15.294 20.219 17.127 6.69 6.708 18.807 x 21.833 5.263 19.143 13.034 Maximum differentials right 39.322 15.101 46.108 24.726 51.614 35.001 53.124 18.31 44.308 20.792 29.196 8.081 Categorisation coefficient % 62.202 32.961 65.120 42.928 49.356 38.169 69.403 x 67.041 24.315 49.982 21.861 neutral-angry neutral-disgusted neutral-happy neutral-afraid
doi:10.4236/ojpsych.2012.23023 fatcat:hhmcmu4qxff7fb4rqohliumwhy