Internalizing and somatic symptoms influence the discrepancy between subjective and objective cognitive difficulties in adults with ADHD who have valid and invalid test scores.

OBJECTIVES: This study investigated the relationship between various intrapersonal factors and the discrepancy between subjective and objective cognitive difficulties in adults with attention-deficit hyperactivity disorder (ADHD). The first aim was to examine these associations in patients with valid cognitive symptom reporting. The next aim was to investigate the same associations in patients with invalid scores on tests of cognitive symptom overreporting. METHOD: The sample comprised 154 adults who underwent a neuropsychological evaluation for ADHD. Patients were divided into groups based on whether they had valid cognitive symptom reporting and valid test performance (n = 117) or invalid cognitive symptom overreporting but valid test performance (n = 37). Scores from multiple symptom and performance validity tests were used to group patients. Using patients' scores from a cognitive concerns self-report measure and composite index of objective performance tests, we created a subjective-objective discrepancy index to quantify the extent of cognitive concerns that exceeded difficulties on objective testing. Various measures were used to assess intrapersonal factors thought to influence the subjective-objective cognitive discrepancy, including demographics, estimated premorbid intellectual ability, internalizing symptoms, somatic symptoms, and perceived social support. RESULTS: Patients reported greater cognitive difficulties on subjective measures than observed on objective testing. The discrepancy between subjective and objective scores was most strongly associated with internalizing and somatic symptoms. These associations were observed in both validity groups. CONCLUSIONS: Subjective cognitive concerns may be more indicative of the extent of internalizing and somatic symptoms than actual cognitive impairment in adults with ADHD, regardless if they have valid scores on cognitive symptom overreporting tests.

Analyzing the relationship between processing speed impairment and Rey-15 item test performance.

OBJECTIVE: This study investigated the relationship between processing speed impairment severity and performance on the Rey 15-Item Test (RFIT) and RFIT + Recognition. METHOD: Cross-sectional data from 285 examinees (228 valid/57 invalid) referred for neuropsychological assessment who were administered the RFIT, Weschler Adult Intelligence Scale-Fourth Edition (WAIS-IV) Processing Speed Index (PSI), Brief Visuospatial Memory Test - Revised, Rey Auditory Verbal Learning Test, and three independent criterion PVTs were included. PSI bands were operationalized as Intact (≥85SS; n = 163), Reduced/Possibly Impaired (77-84SS; n = 36), or Impaired (≤76 SS; n = 29). Receiver operator characteristic (ROC) curve analyses tested the RFIT and RFIT + Recognition's classification accuracy for detecting invalid performance for the overall sample and by PSI impairment status. RESULTS: Those with intact processing speed performed significantly better on the RFIT and RFIT + Recognition than those with reduced/possibly impaired and impaired processing speed. Though verbal/visual memory predicted RFIT scores independently, PSI contributed additional variance. ROC curves for RFIT and RFIT + Recognition were significant (AUC=.64-.84). Optimal cut-scores yielded modest sensitivity (30%-63%) and high specificity (89%-93%) among those with intact and reduced processing speed but yielded unacceptable accuracy in those with impaired speed (AUC=.59-.62). CONCLUSIONS: Although the RFIT and RFIT + Recognition demonstrated acceptable classification accuracy in those with intact processing speed, accuracy diminished with increasing speed impairment. This finding was more pronounced for RFIT + Recognition compared to the traditional RFIT. As such, the RFIT may have limited clinical utility in examinees with more significant processing speed deficits.

Cognitive functioning in patients with neuro-PASC: the role of fatigue, mood, and hospitalization status.

This study sought to characterize cognitive functioning in patients with neurological post-acute sequelae of SARS-CoV-2 infection (Neuro-PASC) and investigate the association of subjective and objective functioning along with other relevant factors with prior hospitalization for COVID-19. Participants were 106 adult outpatients with Neuro-PASC referred for abbreviated neuropsychological assessment after scoring worse than one standard deviation below the mean on cognitive screening. Of these patients, 23 had been hospitalized and 83 had not been hospitalized for COVID-19. Subjective cognitive impairment was evaluated with the self-report cognition subscale from the Patient-Reported Outcome Measurement Information System. Objective cognitive performance was assessed using a composite score derived from multiple standardized cognitive measures. Other relevant factors, including fatigue and depression/mood symptoms, were assessed via the Patient-Reported Outcome Measurement Information System. Subjective cognitive impairment measures exceeded the minimal difficulties noted on objective tests and were associated with depression/mood symptoms as well as fatigue. However, fatigue independently explained the most variance (17.51%) in patients' subjective cognitive ratings. When adjusting for fatigue and time since onset of COVID-19 symptoms, neither objective nor subjective impairment were associated with prior hospitalization for COVID-19. Findings suggest that abbreviated neuropsychological assessment may not reveal objective difficulties beyond initial cognitive screening in patients with Neuro-PASC. However, subjective cognitive concerns may persist irrespective of hospitalization status, and are likely influenced by fatigue and depression/mood symptoms. The impact of concomitant management of fatigue and mood in patients with Neuro-PASC who report cognitive concerns deserve further study.

Distinguishing genuine from simulated dissociative identity disorder using the Morel Emotional Numbing Test.

OBJECTIVE: Few studies have identified validity tests that are appropriate for use in individuals with dissociative identity disorder (DID). This study investigated whether the Morel Emotional Numbing Test (MENT) could distinguish between genuine and simulated DID. METHOD: Thirty-five participants with DID diagnosed via a semistructured interview were compared to 88 participants taking an abnormal psychology course who were instructed to simulate DID. Group comparison analyses were conducted to examine differences in the MENT errors. Univariate logistic regression and receiver operating characteristic curve analyses examined how well the MENT errors discriminated between groups and identified a cutoff optimizing sensitivity while maintaining high specificity. RESULTS: Simulators had significantly more errors across all three MENT sets compared to genuine DID participants. The total number of MENT errors across sets most strongly and significantly predicted genuine versus simulated DID groups. Receiver operating characteristic curve analyses indicated that the MENT could discriminate between genuine and simulated DID with outstanding classification accuracy (area under the curve = .95). A cutoff of ≥ 10 total errors on the MENT yielded an optimal balance of sensitivity (.86) and specificity (.94). However, the previously defined cutoff of ≥ 8 total errors also demonstrated high sensitivity (.87) and specificity (.89). CONCLUSIONS: Findings provide preliminary evidence for the MENT as a validity test for DID populations. Although the commonly used cutoff of ≥ 8 errors on the MENT demonstrated excellent psychometric properties, we recommend using a cutoff of ≥ 10 errors for individuals with DID to minimize the risk of false positives while maintaining strong sensitivity. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Multivariable utility of the Memory Integrated Language and Making Change Test.

Recent reports indicate that the Memory Integrated Language Test (MIL) and Making Change Test Abbreviated Index (MCT-AI), two web-based performance validity tests (PVTs), have good sensitivity and specificity when used independently. This study investigated whether using these PVTs together could improve the detection of invalid performance in a mixed neuropsychiatric sample. Participants were 129 adult outpatients who underwent a neuropsychological evaluation and were classified into valid (n = 104) or invalid (n = 25) performance groups based on several commonly used PVTs. Using cut scores of ≤41 on the MIL and ≥1.05 on the MCT-AI together enhanced classification accuracy, yielding an area under the curve of .84 (95% CI: .75, .93). As compared to using the MIL and MCT-AI independently, the combined use increased the sensitivity from .10-.31 to.70 while maintaining ≥.90 specificity. Findings also indicated that failing either the MIL or MCT-AI was associated with somewhat lower cognitive test scores, but failing both was associated with markedly lower scores. Overall, using the MIL and MCT-AI together may be an effective way to identify invalid test performance during a neuropsychological evaluation. Furthermore, pairing these tests is consistent with current practice guidelines to include multiple PVTs in a neuropsychological test battery.

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.

The Making Change Test: Initial validation of a novel digitized performance validity test for tele-neuropsychology.

OBJECTIVE: The Making Change Test (MCT) is a brief, digitized freestanding performance validity test (PVT) designed for tele-neuropsychology (TeleNP). The objective of this study was to report the initial validation of the MCT in a mixed neuropsychiatric sample referred for neuropsychological evaluation using a known-groups design. METHOD: The sample consisted of 136 adult outpatients who underwent a neuropsychological evaluation. Patients were classified as valid (n = 115) or invalid (n = 21) based on several established PVTs. Two validity indicators were calculated and assessed, including an Accuracy Response-Score and an Abbreviated Index. The Accuracy Response-Score incorporated both response time and errors. The Abbreviated Index aggregated response time and errors across the most sensitive test items in terms of predicting performance validity status. RESULTS: Correlational analyses indicated that the MCT Accuracy Response-Score and Abbreviated Index were more similar to non-memory-based PVTs than memory-based PVTs. Both the MCT Accuracy Response-Score and Abbreviated Index indicated acceptable classification accuracy (area under the curve of .77). The optimal cut score for the MCT Accuracy Response-Score (≥24) yielded a sensitivity of .38 and specificity of .90. The optimal cut score associated with the Abbreviated Index yielded slightly better operating characteristics, with a sensitivity of .50 and specificity of .90. CONCLUSIONS: Initial findings provide support for the criterion and construct validity of the MCT and suggest a promising TeleNP future for this performance validity tool. However, additional support is necessary before the MCT can be used clinically.

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.

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.

Neurocognitive change over the course of a multiday external lumbar drain trial in patients with suspected normal pressure hydrocephalus.

Objective: To characterize neurocognitive response to cerebrospinal fluid (CSF) diversion during a multiday external lumbar drainage (ELD) trial in patients with suspected normal pressure hydrocephalus (NPH). Methods: Inpatients (N = 70) undergoing an ELD trial as part of NPH evaluation participated. Cognition and balance were assessed using standardized measures before and after a three-day ELD trial. Cognitive change pre- to post-ELD trial was assessed in relation to change in balance, baseline neuroimaging findings, NPH symptoms, demographics, and other disease-relevant clinical parameters. Results: Multiday ELD resulted in significant cognitive improvement (particularly on measures of memory and language). This improvement was independent of demographics, test-retest interval, number of medical and psychiatric comorbidities, NPH symptom duration, estimated premorbid intelligence, baseline level of cognitive impairment, cerebrovascular disease burden, degree of ventriculomegaly, or other NPH-related morphological brain alterations. Balance scores evidenced a greater magnitude of improvement than cognitive scores and were weakly, but positively correlated with cognitive change scores. Conclusions: Findings suggest that cognitive improvement associated with a multiday ELD trial can be sufficiently captured with bedside neurocognitive testing. These findings support the utility of neuropsychological consultation, along with balance assessment, in informing clinical decision-making regarding responsiveness to temporary CSF diversion for patients undergoing elective NPH evaluation. Implications for the understanding of neuroanatomical and cognitive underpinnings of NPH are discussed.

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.

Perceived cognitive impairment is related to internalizing psychopathology but unrelated to objective cognitive performance among nongeriatric adults presenting for outpatient neuropsychological evaluation.

Objective: This study investigated the relationship between perceived cognitive impairment, objective cognitive performance, and intrapersonal variables thought to influence ratings of perceived cognitive impairment. Method: Study sample comprised 194 nongeriatric adults who were seen in a general outpatient neuropsychology clinic for a variety of referral questions. The cognition subscale score from the WHO Disability Assessment Schedule served as the measure of perceived cognitive impairment. Objective cognitive performance was indexed via a composite score derived from a comprehensive neuropsychological battery. Internalizing psychopathology was indexed via a composite score derived from anxiety and depression measures. Medical and neuropsychiatric comorbidities were indexed by the number of different ICD diagnostic categories documented in medical records. Demographics included age, sex, race, and years of education. Results: Objective cognitive performance was unrelated to subjective concerns, explaining <1% of the variance in perceived cognitive impairment ratings. Conversely, internalizing psychopathology was significantly predictive, explaining nearly one-third of the variance in perceived cognitive impairment ratings, even after accounting for test performance, demographics, and number of comorbidities. Internalizing psychopathology was also highly associated with a greater discrepancy between scores on perceived and objective cognitive measures among participants with greater cognitive concerns. Clinically significant somatic symptoms uniquely contributed to the explained variance in perceived cognitive impairment (by ∼13%) when analyzed in a model with internalizing symptoms. Conclusions: These findings suggest that perceived cognitive impairment may be more indicative of the extent of internalizing psychopathology and somatic concerns than cognitive ability.

Cross-validating the Clinical Assessment of Attention Deficit-Adult symptom validity scales for assessment of attention deficit/hyperactivity disorder in adults.

INTRODUCTION: The Clinical Assessment of Attention Deficit-Adult is among the few questionnaires that offer validity indicators (i.e., Negative Impression [NI], Infrequency [IF], and Positive Impression [PI]) for classifying underreporting and overreporting of attention-deficit/hyperactivity disorder (ADHD) symptoms. This is the first study to cross-validate the NI, IF, and PI scales in a sample of adults with suspected or known ADHD. METHOD: Univariate and multivariate analyses were conducted to examine the independent and combined value of the NI, IF, and PI scores in predicting invalid symptom reporting and neurocognitive performance in a sample of 543 adults undergoing ADHD evaluation. RESULTS: The NI scale demonstrated better classification accuracy than the IF scale in discriminating patients with and without valid scores on measures of overreporting. Only NI scores significantly predicted validity status when used in combination with IF scores. Optimal cut-scores for the NI (≤51; 30% sensitivity / 90% specificity) and IF (≥4; 18% sensitivity / 90% specificity) scales were consistent with those reported in the original manual; however, these indicators poorly discriminated patients with invalid and valid neurocognitive performance. The PI scale demonstrated acceptable classification accuracy in discriminating patients with invalid and valid scores on measures of underreporting, albeit with an optimal cut-score (≥27; 36% sensitivity / 90% specificity) lower than that described in the manual. CONCLUSION: Findings provide preliminary evidence of construct validity for these scales as embedded validity indicators of symptom overreporting and underreporting. However, these scales should not be used to guide clinical judgment regarding the validity of neurocognitive test performance.

Multivariate examination of embedded indicators of performance validity for ADHD evaluations: A targeted approach.

This study investigated the individual and combined utility of 10 embedded validity indicators (EVIs) within executive functioning, attention/working memory, and processing speed measures in 585 adults referred for an attention-deficit/hyperactivity disorder (ADHD) evaluation. Participants were categorized into invalid and valid performance groups as determined by scores from empirical performance validity indicators. Analyses revealed that all of the EVIs could meaningfully discriminate invalid from valid performers (AUCs = .69-.78), with high specificity (≥90%) but low sensitivity (19%-51%). However, none of them explained more than 20% of the variance in validity status. Combining any of these 10 EVIs into a multivariate model significantly improved classification accuracy, explaining up to 36% of the variance in validity status. Integrating six EVIs from the Stroop Color and Word Test, Trail Making Test, Verbal Fluency Test, and Wechsler Adult Intelligence Scale-Fourth Edition was as efficacious (AUC = .86) as using all 10 EVIs together. Failing any two of these six EVIs or any three of the 10 EVIs yielded clinically acceptable specificity (≥90%) with moderate sensitivity (60%). Findings support the use of multivariate models to improve the identification of performance invalidity in ADHD evaluations, but chaining multiple EVIs may only be helpful to an extent.

Does comorbid depression impact executive functioning (EF) in adults diagnosed with ADHD?: a comparison of EF across diagnoses in clinically-referred individuals.

INTRODUCTION: Executive functioning (EF) is a salient factor in both ADHD as well as depressive disorders. However, sparse literature has examined whether depression severity impacts EF concurrently among adults with ADHD. The goal of this study was to examine differences in EF between adult patients diagnosed with ADHD and those diagnosed with a non-ADHD primary psychopathological condition, as a function of both ADHD presentation and depression severity in a diverse clinical sample. METHOD: This crosssectional study included 404 adult patients clinically referred for neuropsychological evaluation to assist with differential diagnosis and/or treatment planning related to known or suspected ADHD. Various EF tasks and a measure of depression severity were administered. One-way MANOVA analyses were conducted to compare EF performance between individuals diagnosed with ADHD or a non-ADHD primary psychopathological condition, with additional analyses examining group differences based on ADHD presentation and depression severity. Regression analyses also examined the potential contribution of depression severity to each EF measure within each group. RESULTS: No significant EF performance differences were found when comparing individuals diagnosed with ADHD and those with a non-ADHD primary psychopathological condition, nor based on ADHD presentation. When comparing across groups using cut-offs for high or low depression, only one EF measure showed significant differences between groups. Further, depression severity generally did not predict reduced EF performances with the exception of verbal fluency and working memory performances in select groups. CONCLUSIONS: This study demonstrated that individuals with ADHD generally perform comparably on EF measures regardless of the presence or absence of comorbid depression. These results suggest further examination of EF deficits when they emerge for adults with ADHD, especially beyond comorbid depression severity.

Associations among Milk Microbiota, Milk Fatty Acids, Milk Glycans, and Inflammation from Lactating Holstein Cows.

Milk oligosaccharides (MOs) can be prebiotic and antiadhesive, while fatty acids (MFAs) can be antimicrobial. Both have been associated with milk microbes or mammary gland inflammation in humans. Relationships between these milk components and milk microbes or inflammation have not been determined for cows and could help elucidate a novel approach for the dairy industry to promote desired milk microbial composition for improvement of milk quality and reduction of milk waste. We aimed to determine relationships among milk microbiota, MFAs, MOs, lactose, and somatic cell counts (SCC) from Holstein cows, using our previously published data. Raw milk samples were collected at three time points, ranging from early to late lactation. Data were analyzed using linear mixed-effects modeling and repeated-measures correlation. Unsaturated MFA and short-chain MFA had mostly negative relationships with potentially pathogenic genera, including Corynebacterium, Pseudomonas, and an unknown Enterobacteriaceae genus but numerous positive relationships with symbionts Bifidobacterium and Bacteroides. Conversely, many MOs were positively correlated with potentially pathogenic genera (e.g., Corynebacterium, Enterococcus, and Pseudomonas), and numerous MOs were negatively correlated with the symbiont Bifidobacterium. The neutral, nonfucosylated MO composed of eight hexoses had a positive relationship with SCC, while lactose had a negative relationship with SCC. One interpretation of these trends might be that in milk, MFAs disrupt primarily pathogenic bacterial cells, causing a relative increase in abundance of beneficial microbial taxa, while MOs respond to and act on pathogenic taxa primarily through antiadhesive methods. Further research is needed to confirm the potential mechanisms driving these correlations. IMPORTANCE Bovine milk can harbor microbes that cause mastitis, milk spoilage, and foodborne illness. Fatty acids found in milk can be antimicrobial and milk oligosaccharides can have antiadhesive, prebiotic, and immune-modulatory effects. Relationships among milk microbes, fatty acids, oligosaccharides, and inflammation have been reported for humans. To our knowledge, associations among the milk microbial composition, fatty acids, oligosaccharides, and lactose have not been reported for healthy lactating cows. Identifying these potential relationships in bovine milk will inform future efforts to characterize direct and indirect interactions of the milk components with the milk microbiota. Since many milk components are associated with herd management practices, determining if these milk components impact milk microbes may provide valuable information for dairy cow management and breeding practices aimed at minimizing harmful and spoilage-causing microbes in raw milk.

Profile of Embedded Validity Indicators in Criminal Defendants with Verified Valid Neuropsychological Test Performance.

OBJECTIVE: Few studies have examined the use of embedded validity indicators (EVIs) in criminal-forensic practice settings, where judgements regarding performance validity can carry severe consequences for the individual and society. This study sought to examine how various EVIs perform in criminal defendant populations, and determine relationships between EVI scores and intrapersonal variables thought to influence performance validity. METHOD: Performance on 16 empirically established EVI cutoffs were examined in a sample of 164 criminal defendants with valid performance who were referred for forensic neuropsychological evaluation. Subsequent analyses examined the relationship between EVI scores and intrapersonal variables in 83 of these defendants. RESULTS: Half of the EVIs (within the Wechsler Adult Intelligence Scale Digit Span Total, Conners' Continuous Performance Test Commissions, Wechsler Memory Scale Logical Memory I and II, Controlled Oral Word Association Test, Trail Making Test Part B, and Stroop Word and Color) performed as intended in this sample. The EVIs that did not perform as intended were significantly influenced by relevant intrapersonal variables, including below-average intellectual functioning and history of moderate-severe traumatic brain injury and neurodevelopmental disorder. CONCLUSIONS: This study identifies multiple EVIs appropriate for use in criminal-forensic settings. However, based on these findings, practitioners may wish to be selective in choosing and interpreting EVIs for forensic evaluations of criminal court defendants.

Measuring subjective clustering of verbal information after moderate-severe traumatic brain injury: a preliminary study.

BACKGROUND: There is no agreed upon measure of subjective clustering for clinical use in patients following moderate-severe traumatic brain injury (TBI). OBJECTIVE: This study investigated whether measures of subjective clustering, subjective organization (SO) and adjusted ratio of clustering (ARC), were appropriate for use in patients following moderate-severe TBI. METHODS: Twenty participants with moderate-severe TBI in the chronic stage of recovery and 20 control participants recalled a list of unrelated words over six trials. The authors assessed if the SO and ARC measures could discriminate the groups' ability to subjectively cluster the words. The authors also examined whether the SO and ARC measures correlated with recall and learning rate, and if combining the measures improved the predictive accuracy. RESULTS: Participants with moderate-severe TBI performed significantly worse on the SO measure, but there were no group differences regarding the ARC measure. The SO measure positively correlated with recall, but not learning rate. The ARC measure did not positively correlate with recall or learning rate, and combining the measures did not enhance the predictive accuracy. CONCLUSIONS: The SO measure is likely an appropriate candidate for clinical use. However, there are problems with the ARC measure that limit its use as a clinical tool.

A Low-Starch and High-Fiber Diet Intervention Impacts the Microbial Community of Raw Bovine Milk.

Background: A more sustainable dairy cow diet was designed that minimizes use of feed components digestible by monogastric animals by increasing the quantity of forages. Objectives: This study determined if feeding lactating cows the more sustainable, low-starch and high-fiber (LSHF) diet was associated with changes in raw milk microbiota composition and somatic cell count (SCC). Methods: In a crossover design, 76 lactating Holstein cows were assigned to an LSHF diet or a high-starch and low-fiber (HSLF) diet, similar to common dairy cow diets in the United States, for 10 wk then placed on the opposite diet for 10 wk. The LSHF diet contained greater quantities of forages, beet pulp, and corn distillers' grain, but contained less canola meal and no high-moisture corn compared with the HSLF diet. Raw milk samples were collected from each cow 4-5 d before intervention and 5 wk into each diet treatment. Within 4 d, additional milk samples were collected for measurement of SCC using Fossmatic 7. The microbial community was determined by sequencing the 16S rRNA gene V4-V5 region and analyzing sequences with QIIME2. After quality filtering, 53 cows remained. Results: Raw milk microbial communities differed by diet and time. Taxa associated with fiber consumption, such as Lachnospiraceae, Lactobacillus, Bacteroides, and Methanobrevibacter, were enriched with the LSHF diet. Meanwhile, taxa associated with mastitis, such as Pseudomonas, Stenotrophomonas, and Enterobacteriaceae, were enriched with the HSLF diet. Relatedly, an interaction of diet and time was found to impact SCC. Conclusions: In raw milk, consumption of an LSHF diet compared with an HSLF diet was associated with changes in abundance of microbes previously associated with fiber consumption, udder health, and milk spoilage. Further research is needed to determine if an LSHF diet indeed leads to lower rates of mastitis and milk spoilage, which could benefit the dairy industry.