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AbstractDetecting malingered neurocognitive dysfunction is a major issue in forensic context, particularly in legal proceeding/insurance assessment after a traumatic brain injury (TBI), condition frequently associated with persistent cognitive impairments that may potentially be related to malingering. Consequently, research has devoted considerable efforts on developing tools to verify symptoms authenticity. This study compared two freestanding performance validity tests (PVTs) (Amsterdam Short-Term Memory Test—ASTM; Word Completion Memory Test—WCMT) and five embedded PVTs (Rey Complex Figure Test—RCFT—Copy and Recall trials; Reliable Digit Span—RDS; Rey Auditory Verbal Learning Test—RAVLT—Recognition and Total Learning trials) in a sample of 120 participants, including 15 patients with TBI (Mage = 44.40), 52 experimental simulators (Mage = 29.52) and 53 control (Mage = 29.77). Group performance was analyzed to assess tests’ discriminatory power, and Receiver Operating Characteristic (ROC) curves were used to examine tools’ sensitivity and specificity. Results indicated that experimental simulators performance on the ASTM, WCMT, and RAVLT differed significantly from TBI patients and controls. The RDS and RCFT did not discriminate experimental simulators from TBI group. ROC curves analysis reveals that the most accurate tests in this battery for detecting malingering were the ASTM and the RAVLT-Total Learning score. This study offers implications for identifying malingering in medico-legal settings, underscoring the importance of incorporating PVTs into clinical practice. [ABSTRACT FROM AUTHOR]

The present study investigated abbreviation methods for the Test of Memory Malingering (TOMM) in relation to traditional manual-based test cutoffs and independently derived more stringent cutoffs suggested by recent research (≤48 on Trial 2 or 3). Consecutively referred outpatient U.S. military veterans (n = 260) were seen for neuropsychological evaluation for mild traumatic brain injury or possible attention-deficit/hyperactivity disorder. Performance on TOMM Trial 1 was evaluated, including the total score and errors on the first 10 items (TOMMe10), to determine correspondence and redundancy with Trials 2 and 3. Using the traditional cutoff, valid performance on Trials 2 and 3 was predicted by zero errors on TOMMe10 and by Trial 1 scores greater than 41. Invalid performance was predicted by commission of more than three errors on TOMMe10 and by Trial 1 scores less than 34. For revised TOMM cutoffs, a Trial 1 score above 46 was predictive of a valid score, and a TOMMe10 score of three or more errors or a Trial 1 score below 36 was associated with invalid TOMM performance. Conditional abbreviation of the TOMM is feasible in a vast majority of cases without sacrificing information regarding performance validity. Decision trees are provided to facilitate administration of the three trials. [ABSTRACT FROM AUTHOR]

The study examined the effect of preparation time and financial incentives on healthy adults' ability to simulate traumatic brain injury (TBI) during neuropsychological evaluation. A retrospective comparison of two TBI simulator group designs: a traditional design employing a single-session of standard coaching immediately before participation (SIM-SC; n = 46) and a novel design that provided financial incentive and preparation time (SIM-IP; n = 49). Both groups completed an ecologically valid neuropsychological test battery that included widely-used cognitive tests and five common performance validity tests (PVTs). Compared to SIM-SC, SIM-IP performed significantly worse and had higher rates of impairment on tests of processing speed and executive functioning (Trails A and B). SIM-IP were more likely than SIM-SC to avoid detection on one of the PVTs and performed somewhat better on three of the PVTs, but the effects were small and non-significant. SIM-IP did not demonstrate significantly higher rates of successful simulation (i.e., performing impaired on cognitive tests with <2 PVT failures). Overall, the rate of the successful simulation was ∼40% with a liberal criterion, requiring cognitive impairment defined as performance >1 SD below the normative mean. At a more rigorous criterion defining impairment (>1.5 SD below the normative mean), successful simulation approached 35%. Incentive and preparation time appear to add limited incremental effect over traditional, single-session coaching analog studies of TBI simulation. Moreover, these design modifications did not translate to meaningfully higher rates of successful simulation and avoidance of detection by PVTs. [ABSTRACT FROM AUTHOR]

Embedded validity measures support comprehensive assessment of performance validity. The purpose of this study was to evaluate the accuracy of individual embedded measures and to reduce them to the most efficient combination. The sample included 212 postdeployment veterans (average age = 35 years, average education = 14 years). Thirty embedded measures were initially identified as predictors of Green’s Word Memory Test (WMT) and were derived from the California Verbal Learning Test-Second Edition (CVLT-II), Conners’ Continuous Performance Test-Second Edition (CPT-II), Trail Making Test, Stroop, Wisconsin Card Sorting Test-64, the Wechsler Adult Intelligence Scale-Third Edition Letter-Number Sequencing, Rey Complex Figure Test (RCFT), Brief Visuospatial Memory Test-Revised, and the Finger Tapping Test. Eight nonoverlapping measures with the highest area-under-the-curve (AUC) values were retained for entry into a logistic regression analysis. Embedded measure accuracy was also compared to cutoffs found in the existing literature. Twenty-one percent of the sample failed the WMT. Previously developed cutoffs for individual measures showed poor sensitivity (SN) in the current sample except for the CPT-II (Total Errors, SN = .41). The CVLT-II (Trials 1–5 Total) showed the best overall accuracy (AUC = .80). After redundant measures were statistically eliminated, the model included the RCFT (Recognition True Positives), CPT-II (Total Errors), and CVLT-II (Trials 1–5 Total) and increased overall accuracy compared with the CVLT-II alone (AUC = .87). The combination of just 3 measures from the CPT-II, CVLT-II, and RCFT was the most accurate/efficient in predicting WMT performance. [ABSTRACT FROM PUBLISHER]