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A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
Detection of malingering in a Spanish population using three specific malingering tests
Raquel Vilar-López1, S Santiago-Ramajo, Manuel Gómez-Río
1Servicio de Medicina Nuclear, Hospital Universitario, Virgen de las Nieves, Granada, Spain. raquelvilarlopez@hotmail.com <raquelvilarlopez@hotmail.com>
Abstract:
The detection of feigned cognitive impairment remains difficult and may be even more challenging in certain population groups. Studies on the use of neuropsychological tests in ethnic groups for which they were not designed have shown variations in performance associated with cultural differences. With this background, our group studied a Spanish population by applying commonly used procedures [Victoria Symptom Validity Test (VSVT), Test of Memory Malingering (TOMM), and the b test] in a group with post-concussion syndrome (PCS) (whether litigants or not) and in a group of analog malingerers (AN). These tests appeared to function adequately in this Spanish population, who showed similar performances to results published for North Americans.
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