Pain Influences Neuropsychological Performance Following Electrical Injury: A Cross-Sectional Study.

OBJECTIVE: Electrical injury (EI) is a significant, multifaceted trauma often with multi-domain cognitive sequelae, even when the expected current path does not pass through the brain. Chronic pain (CP) research suggests pain may affect cognition directly and indirectly by influencing emotional distress which then impacts cognitive functioning. As chronic pain may be critical to understanding EI-related cognitive difficulties, the aims of the current study were: examine the direct and indirect effects of pain on cognition following EI and compare the relationship between pain and cognition in EI and CP populations. METHOD: This cross-sectional study used data from a clinical sample of 50 patients with EI (84.0% male; Mage = 43.7 years) administered standardized measures of pain (Pain Patient Profile), depression, and neurocognitive functioning. A CP comparison sample of 93 patients was also included. RESULTS: Higher pain levels were associated with poorer attention/processing speed and executive functioning performance among patients with EI. Depression was significantly correlated with pain and mediated the relationship between pain and attention/processing speed in patients with EI. When comparing the patients with EI and CP, the relationship between pain and cognition was similar for both clinical groups. CONCLUSIONS: Findings indicate that pain impacts mood and cognition in patients with EI, and the influence of pain and its effect on cognition should be considered in the assessment and treatment of patients who have experienced an electrical injury.

A Novel Method for Establishing Functional Change in Older Adults With Cognitive Impairment.

OBJECTIVE: The aim was to set syndrome stage-specific (eg, cognitively unimpaired, severe dementia) metrics for functional change. METHODS: We selected 18,097 individuals who participated in 2 National Alzheimer's Coordinating Center visits between June 2005 and May 2020, with completed collateral rating of functioning on activities of daily living assessed by the Functional Activities Questionnaire.Both distribution-based (ie, regression-based reliable change indices) and anchor-based (ie, typical change associated with advancing a syndromal stage for clinically meaningful difference) methods were applied for individuals classified as: unimpaired cognition, mild cognitive impairment, mild dementia, moderate dementia, or severe dementia. RESULTS: There were marked differences in the distribution of functional ratings depending on their syndromal stage. There were also differences in the functional change associated with advancing across different syndromal stages. These informed stage-specific metrics for reliable change indices and clinically meaningful differences. CONCLUSIONS: Our indices provide a hitherto unavailable method that allows clinicians to determine whether observed functional change is reliable or meaningful based on syndromal stage.

A Systematic Review and Meta-Analysis of the Diagnostic Accuracy of the Advanced Clinical Solutions Word Choice Test as a Performance Validity Test.

Thorough assessment of performance validity has become an established standard of practice in neuropsychological assessment. While there has been a large focus on the development and cross-validation of embedded performance validity tests (PVTs) in recent years, new freestanding PVTs have also been developed, including the Word Choice Test (WCT) as part of the Advanced Clinical Solutions Effort System. And, while the WCT's general utility for identifying invalid performance has been demonstrated in the ensuing decade since its initial publication, optimal cut-scores and associated psychometric properties have varied widely across studies. This study sought to synthesize the existing diagnostic accuracy literature regarding the WCT via a systematic review and to conduct a meta-analysis to determine the performance validity cut-score that best maximizes sensitivity while maintaining acceptable specificity. A systematic search of the literature resulted in 14 studies for synthesis, with eight of those available for meta-analysis. Meta-analytic results revealed an optimal cut-score of ≤ 42 with 54% sensitivity and 93% specificity for identifying invalid neuropsychological test performance. Collectively, the WCT demonstrated adequate diagnostic accuracy as a PVT across a variety of populations. Recommendations for future studies are also provided.

Victoria Symptom Validity Test: A Systematic Review and Cross-Validation Study.

The Victoria Symptom Validity Test (VSVT) is a performance validity test (PVT) with over two decades of empirical backing, although methodological limitations within the extant literature restrict its clinical and research generalizability. Chief among these constraints includes limited consensus on the most accurate index within the VSVT and the most appropriate cut-scores within each VSVT validity index. The current systematic review synthesizes existing VSVT validation studies and provides additional cross-validation in an independent sample using a known-groups design. We completed a systematic search of the literature, identifying 17 peer-reviewed studies for synthesis (7 simulation designs, 7 differential prevalence designs, and 3 known-groups designs). The independent cross-validation sample consisted of 200 mixed clinical neuropsychiatric patients referred for outpatient neuropsychological evaluation. Across all indices, Total item accuracy produced the strongest psychometric properties at an optimal cut-score of ≤ 40 (62% sensitivity/88% specificity). However, ROC curve analyses for all VSVT indices yielded statistically significant areas under the curve (AUCs; .73-81), suggestive of moderate classification accuracy. Cut-scores derived using the independent cross-validation sample converged with some previous findings supporting cut-scores of ≤ 22 for Easy item accuracy and ≤ 40 for Total item accuracy, although divergent findings were noted for Difficult item accuracy. Overall, VSVT validity indicators have adequate diagnostic accuracy across populations, with the current study providing additional support for its use as a psychometrically sound PVT in clinical settings. However, caution is recommended among patients with certain verified clinical conditions (e.g., dementia) and those with pronounced working memory deficits due to concerns for increased risk of false positives.

The structure of postconcussion symptoms on the Neurobehavioral Symptom Inventory: a comparison of alternative models.

OBJECTIVE: To evaluate and compare the existing Neurobehavioral Symptom Inventory factor structure models to determine which model provides the best overall fit for postconcussion symptoms and determine which model is useful across different samples (eg, with and without mild traumatic brain injury [TBI] history). SETTING: N/A. PARTICIPANTS: A Florida National Guard sample (N = 3098) and a national Department of Veterans Affairs sample (N = 48,175). DESIGN: Retrospective structural equation modeling was used to compare 16 alternative factor structure models. First, these 16 possible models were examined separately in both samples. Then, to determine whether the same factor structures applied across subsamples within these samples, the models were compared for those deployed and those not deployed in the Florida National Guard sample and between those with TBI confirmed on clinical evaluation and those who were determined not to have sustained a TBI within the Department of Veterans Affairs sample. MAIN MEASURES: Neurobehavioral Symptom Inventory. RESULTS: A 4-factor model--vestibular, somatic, cognitive, and affective--had the best overall fit, after elimination of 2 items (ie, hearing problems and appetite disturbance), and was most applicable across samples. CONCLUSIONS: These findings extend the findings of Meterko et al to other samples. Because findings were consistent across sample and subsamples, the current findings are applicable to both Department of Veteran Affairs and Department of Defense postdeployment medical evaluation settings.

Clinical utility of the Wechsler Memory Scale--Fourth Edition (WMS-IV) in predicting laterality of temporal lobe epilepsy among surgical candidates.

This study evaluated the accuracy of the Wechsler Memory Scale--Fourth Edition (WMS-IV) in identifying functional cognitive deficits associated with seizure laterality in localization-related temporal lobe epilepsy (TLE) relative to a previously established measure, the Rey Auditory Verbal Learning Test (RAVLT). Emerging WMS-IV studies have highlighted psychometric improvements that may enhance its ability to identify lateralized memory deficits. Data from 57 patients with video-EEG-confirmed unilateral TLE who were administered the WMS-IV and RAVLT as part of a comprehensive presurgical neuropsychological evaluation for temporal resection were retrospectively reviewed. We examined the predictive accuracy of the WMS-IV not only in terms of verbal versus visual composite scores but also using individual subtests. A series of hierarchal logistic regression models were developed, including the RAVLT, WMS-IV delayed subtests (Logical Memory, Verbal Paired Associates, Designs, Visual Reproduction), and a WMS-IV verbal-visual memory difference score. Analyses showed that the RAVLT significantly predicted laterality with overall classification rates of 69.6% to 70.2%, whereas neither the individual WMS-IV subtests nor the verbal-visual memory difference score accounted for additional significant variance. Similar to previous versions of the WMS, findings cast doubt as to whether the WMS-IV offers significant incremental validity in discriminating seizure laterality in TLE beyond what can be obtained from the RAVLT.

Does neuropsychological intraindividual variability index cognitive dysfunction, an invalid presentation, or both? Preliminary findings from a mixed clinical older adult veteran sample.

INTRODUCTION: Intraindividual variability across a battery of neuropsychological tests (IIV-dispersion) can reflect normal variation in scores or arise from cognitive impairment. An alternate interpretation is IIV-dispersion reflects reduced engagement/invalid test data, although extant research addressing this interpretation is significantly limited. METHOD: We used a sample of 97 older adult (mean age: 69.92), predominantly White (57%) or Black/African American (34%), and predominantly cis-gender male (87%) veterans. Examinees completed a comprehensive neuropsychological battery, including measures of reduced engagement/invalid test data (a symptom validity test [SVT], multiple performance validity tests [PVTs]), as part of a clinical evaluation. IIV-dispersion was indexed using the coefficient of variance (CoV). We tested 1) the relationships of raw scores and "failures" on SVT/PVTs with IIV-dispersion, 2) the relationship between IIV-dispersion and validity/neurocognitive disorder status, and 3) whether IIV-dispersion discriminated the validity/neurocognitive disorder groups using receiver operating characteristic (ROC) curves. RESULTS: IIV-dispersion was significantly and independently associated with a selection of PVTs, with small to very large effect sizes. Participants with invalid profiles and cognitively impaired participants with valid profiles exhibited medium to large (d = .55-1.09) elevations in IIV-dispersion compared to cognitively unimpaired participants with valid profiles. A non-significant but small to medium (d = .35-.60) elevation in IIV-dispersion was observed for participants with invalid profiles compared to those with a neurocognitive disorder. IIV-dispersion was largely accurate at differentiating participants without a neurocognitive disorder from invalid participants and those with a neurocognitive disorder (areas under the Curve [AUCs]=.69-.83), while accuracy was low for differentiating invalid participants from those with a neurocognitive disorder (AUCs=.58-.65). CONCLUSIONS: These preliminary data suggest IIV-dispersion may be sensitive to both neurocognitive disorders and compromised engagement. Clinicians and researchers should exercise due diligence and consider test validity (e.g. PVTs, behavioral signs of engagement) as an alternate explanation prior to interpretation of intraindividual variability as an indicator of cognitive impairment.

Differentiating Performance on the Connors Continuous Performance Test (CPT-3) as a Function of Comorbid Internalizing Psychopathology.

OBJECTIVE: Internalizing psychopathology commonly co-occurs with attention-deficit/hyperactivity disorder (ADHD). Attention concerns are present in both ADHD and internalizing disorders, yet the neuropsychological functioning of those with comorbid ADHD and internalizing psychopathology is underexamined. METHOD: This study compared Conners' Continuous Performance Test-Third Edition (CPT-3) profiles across ADHD (n = 141), internalizing psychopathology (n = 78), and comorbid (ADHD/internalizing psychopathology; n = 240) groups. RESULTS: Compared to the internalizing psychopathology group, the comorbid group had higher mean T-scores on CPT-3 indices indicative of inattentiveness and impulsivity and more clinically elevated T-scores (T>60) on indices measuring inattentiveness and impaired sustained attention. Patients in the comorbid group were also more likely to have abnormal overall CPT-3 profiles (>2 elevated T-scores) than the ADHD and psychopathology only groups. CONCLUSION: Patients with comorbid ADHD/internalizing psychopathology may evidence a more impaired attentional performance on the CPT-3, which could aid in more tailored treatment planning.

The Impact of Adverse Childhood Experiences on Symptom and Performance Validity Tests Among a Multiracial Sample Presenting for ADHD Evaluation.

OBJECTIVE: Adverse childhood experiences (ACEs) are commonly reported in individuals presenting for attention-deficit hyperactivity disorder (ADHD) evaluation. Performance validity tests (PVTs) and symptom validity tests (SVTs) are essential to ADHD evaluations in young adults, but extant research suggests that those who report ACEs may be inaccurately classified as invalid on these measures. The current study aimed to assess the degree to which ACE exposure differentiated PVT and SVT performance and ADHD symptom reporting in a multi-racial sample of adults presenting for ADHD evaluation. METHOD: This study included 170 adults referred for outpatient neuropsychological ADHD evaluation who completed the ACE Checklist and a neurocognitive battery that included multiple PVTs and SVTs. Analysis of variance was used to examine differences in PVT and SVT performance among those with high (≥4) and low (≤3) reported ACEs. RESULTS: Main effects of the ACE group were observed, such that high ACE group reporting demonstrated higher scores on SVTs assessing ADHD symptom over-reporting and infrequent psychiatric and somatic symptoms on the Minnesota Multiphasic Personality Inventory-2-Restructured Form. Conversely, no significant differences emerged in total PVT failures across ACE groups. CONCLUSIONS: Those with high ACE exposure were more likely to have higher scores on SVTs assessing over-reporting and infrequent responses. In contrast, ACE exposure did not affect PVT performance. Thus, ACE exposure should be considered specifically when evaluating SVT performance in the context of ADHD evaluations, and more work is needed to understand factors that contribute to different patterns of symptom reporting as a function of ACE exposure.

Multidimensional ADHD Symptom Profiles: Associations with Adverse Childhood Experiences.

OBJECTIVE: Adverse childhood experiences (ACEs) are associated with a range of negative health outcomes, including attention-deficit/hyperactivity disorder (ADHD) and neurocognitive deficits. This study identified symptom profiles in adult patients undergoing neuropsychological evaluations for ADHD and examined the association between these profiles and ACEs. METHODS: Utilizing unsupervised machine learning models, the study analyzed data from 208 adult patients. RESULTS: The Gaussian Mixture Model revealed two distinct symptom profiles: "Severely Impaired" and "Moderately Impaired". The "Severely Impaired" profile, 23.6% of the sample, was characterized by more severe ADHD symptomatology in childhood and worse neurocognitive performance. The "Moderately Impaired" profile, 76.4% of the sample, had scores in the average range for self-reported internalizing and externalizing psychopathology and better neurocognitive performance. There was a greater number of ACEs reported by patients in the Severely Impaired profile than the Moderately Impaired profile (p = .022). Specifically, using an ACEs cutoff of ≥4, 53.1% of patients in the Severely Impaired profile reported four or more ACEs, compared with 34.6% in the Moderately Impaired profile (p = .020). Profiles were not related to clinician-ascribed diagnosis. CONCLUSIONS: Findings underscore the association between ACEs and worse symptom profiles marked by impaired neurocognitive function, increased internalizing and externalizing psychopathology, and heightened perceived stress in adults with ADHD. Future research may explore the effect of ACEs on symptom profiles in diverse populations and potential moderators or mediators of these associations. Findings offers valuable insights for clinicians in their assessment and treatment planning.

Adverse childhood experiences, cognitive functioning, depression, and anxiety in adulthood.

BACKGROUND: Evidence suggests that adverse childhood experiences (ACEs) predict cognitive dysfunction, possibly through direct (e.g., brain structure/function changes) and indirect (e.g., increased psychopathology risk) pathways. However, extant studies have focused on young and older adults, with limited understanding of how ACEs affect cognitive health in midadulthood. OBJECTIVE: This study compared psychiatric and cognitive differences between adults at high- and low-risk of adverse health outcomes based on the ACE risk classification scheme. PARTICIPANTS AND SETTING: Adult patients (N = 211; 46.9% female; Mage = 44.1, SD = 17.1; Meducation = 13.8, SD = 3.0) consecutively referred for outpatient neuropsychological evaluation within a large, Midwestern academic medical center. METHOD: Patients were divided into high and low ACE groups based on the number of ACEs endorsed. Subsequently, a series of one-way analyses of variances were conducted to compare high versus low ACE groups on the Test of Premorbid Functioning, Wechsler Adult Intelligence Scale-Fourth Edition Digit Span Test, Trail Making Test-Parts A and B, Rey Auditory Verbal Learning Test, Beck Depression Inventory-II, and Beck Anxiety Inventory scores. RESULTS: Significant group differences were detected for anxiety and depression with the high ACE group endorsing significantly greater depression and anxiety symptoms relative to the low ACE group. High and low ACE groups did not significantly differ on any cognitive measures. CONCLUSIONS: Results indicate that an individual's psychological health, but not cognitive functioning, is impacted by the level of ACE exposure. Study findings highlight the importance of including ACE measures in neuropsychological evaluations, as it will aid in case conceptualization and tailoring treatment recommendations. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Comparing embedded performance validity indicators within the WAIS-IV Letter-Number sequencing subtest to Reliable Digit Span among adults referred for evaluation of attention-deficit/hyperactivity disorder.

Objectives: This study investigated the Wechsler Adult Intelligence Scale-Fourth Edition Letter-Number Sequencing (LNS) subtest as an embedded performance validity indicator among adults undergoing an attention-deficit/hyperactivity disorder (ADHD) evaluation, and its potential incremental value over Reliable Digit Span (RDS). Method: This cross-sectional study comprised 543 adults who underwent neuropsychological evaluation for ADHD. Patients were divided into valid (n = 480) and invalid (n = 63) groups based on multiple criterion performance validity tests. Results: LNS total raw scores, age-corrected scaled scores, and age- and education-corrected T-scores demonstrated excellent classification accuracy (area under the curve of .84, .83, and .82, respectively). The optimal cutoff for LNS raw score (≤16), age-corrected scaled score (≤7), and age- and education-corrected T-score (≤36) yielded .51 sensitivity and .94 specificity. Slightly lower sensitivity (.40) and higher specificity (.98) was associated with a more conservative T-score cutoff of ≤33. Multivariate models incorporating both LNS and RDS improved classification accuracy (area under the curve of .86), and LNS scores explained a significant but modest proportion of variance in validity status above and beyond RDS. Chaining LNS T-score of ≤33 with RDS cutoff of ≤7 increased sensitivity to .69 while maintaining ≥.90 specificity. Conclusions: Findings provide preliminary evidence for the criterion and construct validity of LNS as an embedded validity indicator in ADHD evaluations. Practitioners are encouraged to use LNS T-score cutoff of ≤33 or ≤36 to assess the validity of obtained test data. Employing either of these LNS cutoffs with RDS may enhance the detection of invalid performance.

Effect of processing speed and memory performance on classification accuracy of the dot counting test in a mixed neuropsychiatric sample.

OBJECTIVE: This study examined the impact of impairment in two specific cognitive abilities, processing speed and memory, on Dot Counting Test (DCT) classification accuracy by evaluating performance validity classification accuracy across cognitively unimpaired, single-domain impairment, and multidomain impairment subgroups within a mixed clinical sample. METHOD: Cross-sectional data were analyzed from 348 adult outpatients classified as valid (n = 284) or invalid (n = 64) based on four independent criterion performance validity tests (PVTs). Unimpaired (n = 164), single-domain processing speed impairment (n = 24), single-domain memory impairment (n = 53), and multidomain processing speed and memory impairment (n = 43) clinical subgroups were established among the valid group. Both the traditional DCT E-score and unrounded E-score were examined. RESULTS: Overall, the DCT demonstrated acceptable to excellent classification accuracy across the unimpaired (area under the curve [AUC] traditional E-score=.855; unrounded E-score=.855) and single-domain impairment groups (traditional E-score AUCs = .690-.754; unrounded E-score AUCs = .692-747). However, it did not reliably discriminate the multidomain processing speed and memory impairment group from the invalid performers (traditional and unrounded E-scores AUC = .557). CONCLUSIONS: Findings support the DCT as a non-memory-based freestanding PVT for use with single-domain cognitive impairment, with traditional E-score ≥17 (unrounded E-score ≥16.95) recommended for those with memory impairment and traditional E-score ≥19 (unrounded ≥18.08) with processing speed impairment. Moreover, results replicated previously established optimal cutoffs for unimpaired groups using both the traditional (≥14) and unrounded (≥13.84) E-scores. However, the DCT did not reliably discriminate between invalid performance and multidomain cognitive impairment, indicating caution is warranted when using the DCT with patients suspected of greater cognitive impairment.

Neuropsychological Test Performance Differentiates Subgroups of Individuals With Adult Moyamoya Disease: A Cross-Sectional Clinical Study.

BACKGROUND AND OBJECTIVES: Moyamoya disease (MMD) is a rare noninflammatory disorder involving progressive intracranial vasculopathy and impaired cerebral blood flow in the anterior circulation, resulting in stroke and cognitive impairment. We aimed to characterize cognitive impairment and the possible predictive value of sociodemographic and clinical characteristics of adults with MMD. METHODS: This cross-sectional study examined neurocognitive performance in a group of 42 consecutive adult patients (mean age = 40.52 years; 69% female) referred for a presurgical neuropsychological evaluation. Neuropsychological functioning was assessed with a comprehensive battery, and cognitive dysfunction was defined as 1.5 SDs below the mean. Neurocognitive performance correlated with clinical/demographic characteristics and disease markers. RESULTS: Most patients (91%) had a history of stroke, and 45% had cognitive deficits, most notably on measures of attention/speed (48%), executive functioning (47%), visuoconstruction (41%), and memory (31%-54%). Only higher educational attainment and poor collateral blood flow in the right hemisphere differentiated cognitively impaired (n = 19) and intact groups (n = 23), and MMD-related characteristics (eg, disease duration, stroke history) did not differentiate the 2 groups. CONCLUSION: Consistent with previous work, frontal-subcortical cognitive deficits (eg, deficits in mental speed, attention, executive functioning) were found in nearly half of patients with MMD and better cognitive performance was associated with factors related to cognitive reserve. Angiographic metrics of disease burden (eg, Suzuki rating, collateral flow) and hemodynamic reserve were not consistently associated with poorer cognitive outcomes, suggesting that cognition is a crucial independent factor to assess in MMD and has relevance for treatment planning and functional status.

Empirically derived symptom profiles in adults with attention-Deficit/hyperactivity disorder: An unsupervised machine learning approach.

BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is associated with various cognitive, behavioral, and mood symptoms that complicate diagnosis and treatment. The heterogeneity of these symptoms may also vary depending on certain sociodemographic factors. It is therefore important to establish more homogenous symptom profiles in patients with ADHD and determine their association with the patient's sociodemographic makeup. The current study used unsupervised machine learning to identify symptom profiles across various cognitive, behavioral, and mood symptoms in adults with ADHD. It was then examined whether symptom profiles differed based on relevant sociodemographic factors. METHODS: Participants were 382 adult outpatients (62% female; 51% non-Hispanic White) referred for neuropsychological evaluation for ADHD. RESULTS: Employing Gaussian Mixture Modeling, we identified two distinct symptom profiles in adults with ADHD: "ADHD-Plus Symptom Profile" and "ADHD-Predominate Symptom Profile." These profiles were primarily differentiated by internalizing psychopathology (Cohen's d = 1.94-2.05), rather than by subjective behavioral and cognitive symptoms of ADHD or neurocognitive test performance. In a subset of 126 adults without ADHD who were referred for the same evaluation, the unsupervised machine learning algorithm only identified one symptom profile. Group comparison analyses indicated that female patients were most likely to present with an ADHD-Plus Symptom Profile (χ2 = 5.43, p < .001). CONCLUSION: The machine learning technique used in this study appears to be an effective way to elucidate symptom profiles emerging from comprehensive ADHD evaluations. These findings further underscore the importance of considering internalizing symptoms and patients' sex when contextualizing adult ADHD diagnosis and treatment.

Exploring Subfactors of Adult Cognitive Disengagement Syndrome and Impact on Neuropsychological Performance.

OBJECTIVE: This study investigated subfactors of cognitive disengagement syndrome (CDS; previously referred as sluggish cognitive tempo) among adults referred for neuropsychological evaluation of attentiondeficit/hyperactivity disorder (ADHD). METHOD: Retrospective analyses of data from 164 outpatient neuropsychological evaluations examined associations between CDS subfactors and self-reported psychological symptoms and cognitive performance. RESULTS: Factor analysis produced two distinct but positively correlated constructs: "Cognitive Complaints'' and "Lethargy." Both correlated positively with symptom reports (rs = 0.26-0.57). Cognitive Complaints correlated negatively with working memory, processing speed, and executive functioning performance (rs = -0.21 to -0.37), whereas Lethargy correlated negatively only with processing speed and executive functioning performance (rs = -0.26 to -0.42). Both predicted depression symptoms, but only Cognitive Complaints predicted inattention symptoms. Both subfactors demonstrated modest to nonsignificant associations with cognitive performance after accounting for estimated premorbid intelligence and inattention. CONCLUSION: Findings indicate a bidimensional conceptualization of CDS, with differential associations between its constituent subfactors, reported symptoms, and cognitive performance.

Social Determinants of Health: Associations Between Dichotomous Versus Dimensional Scores, Neuropsychological Test Performance, and Psychiatric Symptoms.

This study examined the utility of dichotomous versus dimensional scores across two measures of social determinants of health (SDOH) regarding their associations with cognitive performance and psychiatric symptoms in a mixed clinical sample of 215 adults referred for neuropsychological evaluation (Mage = 43.91, 53.5% male, 44.2% non-Hispanic White). Both dimensional and dichotomous health literacy scores accounted for substantial variance in all cognitive outcomes assessed, whereas dimensional and dichotomous adverse childhood experience scores were significantly associated with psychiatric symptoms. Tests of differences between correlated correlations indicated that correlations with cognitive and psychiatric outcomes were not significantly different across dimensional versus dichotomous scores, suggesting that these operationalizations of SDOH roughly equivalently characterize risk of poorer cognitive performance and increased psychiatric symptoms. Results highlight the necessity of measuring multiple SDOH, as different SDOH appear to be differentially associated with cognitive performance versus psychiatric symptoms. Furthermore, results suggest that clinicians can use cut-scores when characterizing patients' risk of poor cognitive or psychiatric outcomes based on SDOH.

Comparing behavioral and psychological symptom structures on the Neuropsychiatric Inventory Questionnaire.

The Neuropsychiatric Inventory Questionnaire (NPI-Q) is a collateral-rated measure of behavioral and psychological symptoms commonly found in dementia (BPSD). Several factor structures have been published, but they have not been systematically compared. Furthermore, the possibility of hierarchical models or presence of measurement invariance around cognitive stage or dementia syndrome has not been previously evaluated. This study addressed these gaps with confirmatory factor analyses using a multicenter sample (n = 41,801; Mage = 71.4; 57% women; 79% White, 13% Black, 8% Hispanic; Meducation = 15.1) that was divided into exploratory, derivation, and holdover subsets for cross-validation. We found that a four-factor model had the best fit, with adequate reliability estimates, adequate τ-equivalence, and the least amount of measurement variance. Strict invariance across stage and syndrome was not supported, although there was adequate support for weaker restrictions (e.g., equal forms). Furthermore, all bifactor models had a significant increase in fit. In sum, the present study provides practical guidance on using NPI-Q factor-derived subscales and theoretical elaboration of BPSD's hierarchical and syndrome-variant structure. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Cross-validation of the Trail Making Test as a non-memory-based embedded performance validity test among veterans with and without cognitive impairment.

OBJECTIVE: This study cross-validated multiple Trail Making Test (TMT) Parts A and B scores as non-memory-based embedded performance validity tests (PVTs) for detecting invalid neuropsychological performance among veterans with and without cognitive impairment. METHOD: Data were collected from a demographically and diagnostically diverse mixed clinical sample of 100 veterans undergoing outpatient neuropsychological evaluation at a Southwestern VA Medical Center. As part of a larger battery of neuropsychological tests, all veterans completed TMT A and B and four independent criterion PVTs, which were used to classify veterans into valid (n = 75) and invalid (n = 25) groups. Among the valid group 47% (n = 35) were cognitively impaired. RESULTS: Among the overall sample, all embedded PVTs derived from TMT A and B raw and demographically corrected T-scores significantly differed between validity groups (ηp2 = .21-.31) with significant areas under the curve (AUCs) of .72-.78 and 32-48% sensitivity (≥91% specificity) at optimal cut-scores. When subdivided by cognitive impairment status (i.e., valid-unimpaired vs. invalid; valid-impaired vs. invalid), all TMT scores yielded significant AUCs of .80-.88 and 56%-72% sensitivity (≥90% specificity) at optimal cut-scores. Among veterans with cognitive impairment, neither TMT A or B raw scores were able to significantly differentiate the invalid from the valid-cognitively impaired group; however, demographically corrected T-scores were able to significantly differentiate groups but had poor classification accuracy (AUCs = .66-.68) and reduced sensitivity of 28%-44% (≥91% specificity). CONCLUSIONS: Embedded PVTs derived from TMT Parts A and B raw and T-scores were able to accurately differentiate valid from invalid neuropsychological performance among veterans without cognitive impairment; however, the demographically corrected T-scores generally were more robust and consistent with prior studies compared to raw scores. By contrast, TMT embedded PVTs had poor accuracy and low sensitivity among veterans with cognitive impairment, suggesting limited utility as PVTs among populations with cognitive dysfunction.

Neuropsychologists' perspectives of chronic traumatic encephalopathy (CTE).

Objective: Chronic Traumatic Encephalopathy (CTE) has received significant media coverage as a major health concern for collision sport athletes and combat veterans. This survey study investigated neuropsychologists' perspectives of CTE.Methods: Neuropsychologists (N = 325) were contacted via electronic advertisement posted to popular neuropsychology professional listservs and completed a survey regarding their perspectives of: the proposed sequelae of repeated concussions, the strength of the CTE research base, and its media coverage.Results: Most respondents (91%) were at least somewhat familiar with the concept of CTE. Moderate uncertainty was reported (i.e. up to 30%) regarding the effects of repeated concussions. Most felt the research in support of CTE was unreliable (80%) and weak regarding claims that repeated concussions cause CTE (91%), independently cause behavioral/emotional/cognitive dysfunction (86%), or increase the risk for neurodegeneration (79%). Respondents agreed patients are concerned about CTE (92%), concerns are influenced by the media (96%) that presents a biased/alarmist view of CTE (96%), and patient recovery is influenced by their CTE beliefs (82%).Conclusions: There was strong agreement that the media presents an alarmist/biased view of CTE that influences patients concerns and outcomes following concussion. This presentation is incongruent with the perceptions of surveyed neuropsychologists who find the research in support of CTE to be weak and unreliable. More research is needed to determine the potential effects of repeated (sub)concussive events. As public knowledge will continue to be influenced by the media and health care professionals, future research should explore CTE perceptions across other health care disciplines.