The effects of repetitive transcranial magnetic stimulation in older adults with mild cognitive impairment: a protocol for a randomized, controlled three-arm trial.

BACKGROUND: Mild Cognitive Impairment (MCI) carries a high risk of progression to Alzheimer's disease (AD) dementia. Previous clinical trials testing whether cholinesterase inhibitors can slow the rate of progression from MCI to AD dementia have yielded disappointing results. However, recent studies of the effects of repetitive transcranial magnetic stimulation (rTMS) in AD have demonstrated improvements in cognitive function. Because few rTMS trials have been conducted in MCI, we designed a trial to test the short-term efficacy of rTMS in MCI. Yet, in both MCI and AD, we know little about what site of stimulation would be ideal for improving cognitive function. Therefore, two cortical sites will be investigated in this trial: (1) the dorsolateral prefrontal cortex (DLPFC), which has been well studied for treatment of major depressive disorder; and (2) the lateral parietal cortex (LPC), a novel site with connectivity to AD-relevant limbic regions. METHODS/DESIGN: In this single-site trial, we plan to enroll 99 participants with single or multi-domain amnestic MCI. We will randomize participants to one of three groups: (1) Active DLPFC rTMS; (2) Active LPC rTMS; and (3) Sham rTMS (evenly split between DLPFC and LPC locations). After completing 20 bilateral rTMS treatment sessions, participants will be followed for 6 months to test short-term efficacy and track durability of effects. The primary efficacy measure is the California Verbal Learning Test-II (CVLT-II), assessed 1 week after intervention. Secondary analyses will examine effects of rTMS on other cognitive measures, symptoms of depression, and brain function with respect to the site of stimulation. Finally, selected biomarkers will be analyzed to explore predictors of response and mechanisms of action. DISCUSSION: The primary aim of this trial is to test the short-term efficacy of rTMS in MCI. Additionally, the project will provide information on the durability of cognitive effects and potentially distinct effects of stimulating DLPFC versus LPC regions. Future efforts would be directed toward better understanding therapeutic mechanisms and optimizing rTMS for treatment of MCI. Ultimately, if rTMS can be utilized to slow the rate of progression to AD dementia, this will be a significant advancement in the field. TRIAL REGISTRATION: Clinical Trials NCT03331796. Registered 6 November 2017, https://clinicaltrials.gov/ct2/show/NCT03331796. All items from the World Health Organization Trial Registration Data Set are listed in Appendix A. PROTOCOL VERSION: This report is based on version 1, approved by the DSMB on 30 November, 2017 and amended on 14 August, 2018 and 19 September, 2019.

Donepezil treatment in ethnically diverse patients with Alzheimer disease.

OBJECTIVE: To compare the outcome of donepezil treatment in ethnically diverse Alzheimer disease (AD) patients with ethnically diverse AD patients who did not receive donepezil. METHODS: Patients meeting NINCDS-ADRA criteria for probable or possible AD from a consortium of California sites were systematically followed for at least 1 year in this prospective, observational study. Their treatment regimens, including prescription of donepezil, were determined by their individual physician according to his or her usual criteria. Patients self-identified their ethnicity. RESULTS: The 64 ethnically diverse AD patients who completed the study and received donepezil treatment had an average 1-year decline of 2.30 points (standard deviation: 3.9) on the 30-point Mini-Mental State Exam compared with a 1.70-point (standard deviation: 4.2) decline in the 74 ethnically diverse completers who received no donepezil or other anti-AD drugs during the study period. This difference was not statistically significant. The overall Cohen effect size of this treatment-associated difference was estimated at -0.15. After using propensity analyses and other techniques to assess factors that could bias prescribing decisions, the lack of benefits associated with donepezil treatment remained. The lack of donepezil benefits also remained when more traditional analyses were applied to these data. CONCLUSION: Ethnically diverse AD patients in this study apparently did not benefit from 1 year of donepezil treatment. These unpromising results are in contrast to modest benefits of donepezil treatment measured in a directly comparable California study involving white non-Latino AD patients.

The Virtual Geriatric Assessment Interdisciplinary Team Project: Interprofessional Geriatric Training Against the Backdrop of COVID-19.

Interprofessional geriatric education programs enhance trainees' knowledge of older adults, and the valuable contributions health and social care practitioners make to their well-being when specialists work collaboratively. In response to the 2020 COVID-19 pandemic restrictions, in-person geriatric interprofessional education (IPE) programs were redesigned for virtual delivery. Nineteen virtual programs were held between September 2020 and December 2022. Of the 369 health and social care trainees who participated, 67.2% completed both pre- and post-program surveys. Survey instruments included the Interprofessional Collaborative Competency Attainment Survey (ICASS), which measures perceptions associated with patient-centered, team-based, collaborative care. Significant differences were obtained across ICASS domains, including communication, conflict management/resolution, and team functioning, suggesting that virtual programs may enhance attitudes and perceived abilities for interprofessional collaborative practice. Furthermore, participants' perceived understanding of older adult needs improved, as did their interest in geriatrics. Results illustrate that virtual geriatric interprofessional (IP) programs may be viable alternatives to in-person opportunities.

Modeling the effects of obstructive sleep apnea and hypertension in Vietnam veterans with PTSD.

PURPOSE: The present work aimed to extend models suggesting that obstructive sleep apnea (OSA) is associated with worse cognitive performance in community-dwelling older adults. We hypothesized that in addition to indices of OSA severity, hypertension is associated with worse cognitive performance in such adults. METHODS: The PTSD Apnea Clinical Study recruited 120 community-dwelling, male veterans diagnosed with PTSD, ages 55 and older. The Rey Auditory Verbal Learning Test (RAVLT) and Color-Word Interference Test (CWIT) were measures of auditory verbal memory and executive function, respectively. Apnea-hypopnea index (AHI), minimum and mean pulse oximeter oxygen saturation (min SpO(2), mean SpO(2)) indicators were determined during standard overnight polysomnography. Multivariate linear regression and receiver operating characteristic (ROC) curve analyses were performed. RESULTS: In regression models, AHI (ß = -4.099; p < 0.01) and hypertension (ß = -4.500; p < 0.05) predicted RAVLT; hypertension alone (ß = 9.146; p < 0.01) predicted CWIT. ROC analyses selected min SpO(2) cut-points of 85% for RAVLT (κ = 0.27; χ² = 8.23, p < 0.01) and 80% for CWIT (κ = 0.25; χ² = 12.65, p < 0.01). Min SpO(2) cut-points and hypertension were significant when added simultaneously in a regression model for RAVLT (min SpO(2), ß = 4.452; p < 0.05; hypertension, ß = -4.332; p < 0.05), and in separate models for CWIT (min SpO(2), ß = -8.286; p < 0.05; hypertension, ß = -8.993; p < 0.01). CONCLUSIONS: OSA severity and presence of self-reported hypertension are associated with poor auditory verbal memory and executive function in older adults.

Pilot expertise and hippocampal size: associations with longitudinal flight simulator performance.

BACKGROUND: Previous research suggests that the size of the hippocampus can vary in response to intensive training (e.g., during the acquisition of expert knowledge). However, the role of the hippocampus in maintenance of skilled performance is not well understood. The Stanford/Veterans Affairs Aviation MRI Study offers a unique opportunity to observe the interaction of brain structure and multiple levels of expertise on longitudinal flight simulator performance. METHODS: The current study examined the relationship between hippocampal volume and three levels of aviation expertise, defined by pilot proficiency ratings issued by the U.S. Federal Aviation Administration (11). At 3 annual time points, 60 pilots who varied in their level of aviation expertise (ages ranging from 45 to 69 yr) were tested. RESULTS: At baseline, higher expertise was associated with better flight simulator performance, but not with hippocampal volume. Longitudinally, there was an Expertise x Hippocampal volume interaction, in the direction that a larger hippocampus was associated with better performance at higher levels of expertise. DISCUSSION: These results are consistent with the notion that expertise in a cognitively demanding domain involves the interplay of acquired knowledge ('mental schemas') and basic hippocampal-dependent processes.

Repetitive Transcranial Magnetic Stimulation as a Treatment for Veterans with Cognitive Impairment and Multiple Comorbidities.

BACKGROUND: Despite decades of research efforts, current treatments for Alzheimer's disease (AD) are of limited effectiveness and do not halt the progression of the disease and associated cognitive decline. Studies have shown that repetitive transcranial magnetic stimulation (rTMS) may improve cognition. OBJECTIVE: We conducted a pilot study to investigate the effect of rTMS on cognitive function in Veterans with numerous medical comorbidities. METHODS: Participants underwent 20 sessions, over the course of approximately 4 weeks, of 10 Hz rTMS at the left dorsolateral prefrontal cortex with intensity of 120% resting motor threshold. Outcome measures including memory, language, verbal fluency, and executive functions were acquired at baseline, end of treatment, and 4 months after the last rTMS session. Twenty-six Veterans completed the study (13 in the active rTMS group, 13 in the sham rTMS group). RESULTS: The study protocol was well-tolerated. Active, compared to sham, rTMS showed improved auditory-verbal memory at the end of treatment and at 4-month follow-up. However, the active rTMS group demonstrated a trend in decreased semantic verbal fluency at the end of treatment and at 4-month follow up. CONCLUSION: These preliminary results show rTMS is safe in general in this elderly Veteran population with multiple co-morbidities. Patients in the sham group showed an expected, slight decline in the California Verbal Learning Test scores over the course of the study, whereas the active treatment group showed a slight improvement at the 4-month post-treatment follow up. These effects need to be confirmed by studies of larger sample sizes.

Moving back in the brain to drive the field forward: Targeting neurostimulation to different brain regions in animal models of depression and neurodegeneration.

BACKGROUND: Repetitive transcranial magnetic stimulation is a promising noninvasive therapeutic tool for a variety of brain-related disorders. However, most therapeutic protocols target the anterior regions, leaving many other areas unexplored. There is a substantial therapeutic potential for stimulating various brain regions, which can be optimized in animal models. NEW METHOD: We illustrate a method that can be utilized reliably to stimulate the anterior or posterior brain in freely moving rodents. A coil support device is surgically attached onto the skull, which is used for consistent coil placement over the course of up to several weeks of stimulation sessions. RESULTS: Our methods provide reliable stimulation in animals without the need for restraint or sedation. We see little aversive effects of support placement and stimulation. Computational models provide evidence that moving the coil support location can be utilized to target major stimulation sites in humans and mice. SUMMARY OF FINDINGS WITH THIS METHOD: Animal models are key to optimizing brain stimulation parameters, but research relies on restraint or sedation for consistency in coil placement. The method described here provides a unique means for reliable targeted stimulation in freely moving animals. Research utilizing this method has uncovered changes in biochemical and animal behavioral measurements as a function of brain stimulation. CONCLUSIONS: The majority of research on magnetic stimulation focuses on anterior regions. Given the substantial network connectivity throughout the brain, it is critical to develop a reliable method for stimulating different regions. The method described here can be utilized to better inform clinical trials about optimal treatment localization, stimulation intensity and number of treatment sessions, and provides a motivation for exploring posterior brain regions for both mice and humans.

The impact of brain size on pilot performance varies with aviation training and years of education.

Previous studies have consistently reported age-related changes in cognitive abilities and brain structure. Previous studies also suggest compensatory roles for specialized training, skill, and years of education in the age-related decline of cognitive function. The Stanford/VA Aviation Study examines the influence of specialized training and skill level (expertise) on age-related changes in cognition and brain structure. This preliminary report examines the effect of aviation expertise, years of education, age, and brain size on flight simulator performance in pilots aged 45-68 years. Fifty-one pilots were studied with structural magnetic resonance imaging, flight simulator, and processing speed tasks. There were significant main effects of age (p < .01) and expertise (p < .01), but not of whole brain size (p > .1) or education (p > .1), on flight simulator performance. However, even though age and brain size were correlated (r = -0.41), age differences in flight simulator performance were not explained by brain size. Both aviation expertise and education were involved in an interaction with brain size in predicting flight simulator performance (p < .05). These results point to the importance of examining measures of expertise and their interactions to assess age-related cognitive changes.

Age and expertise effects in aviation decision making and flight control in a flight simulator.

INTRODUCTION: Age (due to declines in cognitive abilities necessary for navigation) and level of aviation expertise are two factors that may affect aviation performance and decision making under adverse weather conditions. We examined the roles of age, expertise, and their relationship on aviation decision making and flight control performance during a flight simulator task. METHODS: Seventy-two IFR-rated general aviators, aged 19-79 yr, made multiple approach, holding pattern entry, and landing decisions while navigating under Instrument Flight Rules weather conditions. Over three trials in which the fog level varied, subjects decided whether or not to land the aircraft. They also completed two holding pattern entries. Subjects' flight control during approaches and holding patterns was measured. RESULTS: Older pilots (41+ yr) were more likely than younger pilots to land when visibility was inadequate (older pilots' mean false alarm rate: 0.44 vs 0.25). They also showed less precise flight control for components of the approach, performing 0.16 SD below mean approach scores. Expertise attenuated an age-related decline in flight control during holding patterns: older IFR/CFI performed 0.73 SD below mean score; younger IFR/CFI, younger CFII/ATP, older CFII/ATP: 0.32, 0.26, 0.03 SD above mean score. Additionally, pilots with faster processing speed (by median split) had a higher mean landing decision false alarm rate (0.42 vs 0.28), yet performed 0.14 SD above the mean approach control score. CONCLUSIONS: Results have implications regarding specialized training for older pilots and for understanding processes involved in older adults' real world decision making and performance.

Nicotine deprivation and pilot performance during simulated flight.

OBJECTIVES: Most airlines enforce no-smoking policies, potentially causing flight performance decrements in pilots who are smokers. We tested the hypotheses that nicotine withdrawal affects aircraft pilot performance within 12 h of smoking cessation and that chewing nicotine gum leads to significant relief of these withdrawal effects. METHODS: There were 29 pilots, regular smokers, who were tested in a Frasca 141 flight simulator on two 13-h test days, each including three 75-min flights (0 hr, 6 hr, 12 hr) in a randomized, controlled trial. On the first day (baseline), all pilots smoked one cigarette per hour. On the second day, pilots were randomly assigned to one of four groups: (1) nicotine cigarettes; (2) nicotine gum; (3) placebo gum; (4) no cigarettes/no gum. Flight Summary Scores (FSS) were compared between groups with repeated measures ANOVAs. RESULTS: No statistically significant differences in overall simulator flight performance were revealed between pilots who smoked cigarettes and pilots who were not allowed to smoke cigarettes or chew nicotine gum, but there was a trend for pilots who were not allowed to smoke to perform worse. However, pilots who chewed placebo gum performed significantly worse during the 6-h (FSS = -0.03) as well as during the 12-h flight (FSS = -0.08) than pilots who chewed nicotine gum (FSS = 0.15 / 0.30, respectively). CONCLUSIONS: Results suggest that nicotine withdrawal effects can impair aircraft pilot performance within 12 h of smoking cessation and that during smoking abstinence chewing one stick of 4-mg nicotine gum per hour may lead to significantly better overall flight performance compared to chewing placebo gum.

Slower speed-of-processing of cognitive tasks is associated with presence of the apolipoprotein epsilon4 allele.

Detection of preclinical cognitive deficits is important for identifying those at greatest risk for such disorders as Alzheimer's disease. However, available neuropsychological measures may not be sufficiently sensitive to preclinical cognitive impairment, particularly in high functioning or younger older adults. This study utilizes a battery of computerized cognitive tests (Cognometer) designed to provide a more sensitive measure of age-related cognitive performance by incorporating speed-of-processing components. Fifty-one community-dwelling older adults were administered the Cognometer battery, which incorporates speed-of-processing components into measures of verbal, spatial and working memory, attention, and visuo-spatial ability. Performance of 18 subjects with the epsilon4 allele was compared to that of 33 subjects without the epsilon4 allele. A brief battery of standard neuropsychological measures was also administered. No significant differences were observed between the two groups with respect to performance on any of the neuropsychological measures. However, with respect to the Cognometer battery, individuals with the epsilon4 allele were significantly slower in performing all the cognitive tasks, with the exception of the visuo-spatial task. With respect to performance, the two genotype groups did not differ significantly except on immediate memory, with the epsilon4 group exhibiting increased errors. Overall, the epsilon4 group was significantly slower in performing all of the Cognometer memory tasks. These findings provide continued support for the negative impact of the epsilon4 allele on cognition and further suggest that speed-of-processing during memory tasks may have the potential to detect subtle cognitive deficits.

[Adaptation and convergent validity of a telephone-based Mini-Mental State Examination]. / Adaptación y validez convergente de una versión telefónica del Mini-Mental State Examination.

BACKGROUND AND OBJECTIVE: To adapt to Spanish and to determine the convergent validity of a Telephone Mini-Mental State Examination (t-MMSE) in order to assess the cognitive functions in Alzheimer's disease (AD) patients. PATIENTS AND METHOD: Prospective and observational study of a clinical sample consisting of patients with dementia from a memory clinic. Consecutive sampling of participants was used and convergent validity of the t-MMSE and MMSE scores was determined using several statistics measures. Patients were randomly assigned depending on the administration of the in-person/telephone test (MMSE and t-MMSE) or telephone/in-person (t-MMSE and MMSE) test within a 1- to 7-day interval. The effect of the confusion variables (age, gender, years of education, dementia severity, presence or absence of hearing impairment and administration order) on the concordance between the in-person and telephone MMSE versions was analysed. RESULTS: After translating and retranslating the t-MMSE, of 141 participants, 77.47% subjects completed the protocol of the study. For the total score, the statistics for the convergent validity suggested a high consistency, independently of the order of test administration (intraclass correlation coefficient = 0.87, Spearman's rho = 0.77); for the all subscores, it suggested moderate and good correlations. The difference between subscores did not range more than 1 point in any case. Confusion variables did not affect the variability of the performance scores between t-MMSE and MMSE. CONCLUSIONS: The t-MMSE can be used as a good tool to estimate the MMSE score of patients with dementia.

Integration of neural and epigenetic contributions to posttraumatic stress symptoms: The role of hippocampal volume and glucocorticoid receptor gene methylation.

Many Veterans exposed to physical and psychological trauma experience symptoms of posttraumatic stress disorder (PTSD). As the etiology of PTSD symptoms is complex, a better understanding of the underlying biological mechanisms may improve preventative care and treatment for PTSD. Recent findings from the fields of neuroimaging and epigenetics offer important insights into the potential brain structures and biochemical pathways of modified gene expression associated with PTSD. We combined neuroimaging and epigenetic measures to assess current PTSD symptoms by measuring overall hippocampal volume and methylation of the glucocorticoid receptor (GR) gene (promoter region). Multiple regression analyses indicated that the hippocampal volume/GR methylation interaction was a predictor of PTSD symptoms. Our findings suggest that neuroimaging and epigenetic measures contribute interactively to PTSD symptoms. Incorporation of these metrics may aid in the identification and treatment of PTSD patients.

DTI measures identify mild and moderate TBI cases among patients with complex health problems: A receiver operating characteristic analysis of U.S. veterans.

Standard MRI methods are often inadequate for identifying mild traumatic brain injury (TBI). Advances in diffusion tensor imaging now provide potential biomarkers of TBI among white matter fascicles (tracts). However, it is still unclear which tracts are most pertinent to TBI diagnosis. This study ranked fiber tracts on their ability to discriminate patients with and without TBI. We acquired diffusion tensor imaging data from military veterans admitted to a polytrauma clinic (Overall n = 109; Age: M = 47.2, SD = 11.3; Male: 88%; TBI: 67%). TBI diagnosis was based on self-report and neurological examination. Fiber tractography analysis produced 20 fiber tracts per patient. Each tract yielded four clinically relevant measures (fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity). We applied receiver operating characteristic (ROC) analyses to identify the most diagnostic tract for each measure. The analyses produced an optimal cutpoint for each tract. We then used kappa coefficients to rate the agreement of each cutpoint with the neurologist's diagnosis. The tract with the highest kappa was most diagnostic. As a check on the ROC results, we performed a stepwise logistic regression on each measure using all 20 tracts as predictors. We also bootstrapped the ROC analyses to compute the 95% confidence intervals for sensitivity, specificity, and the highest kappa coefficients. The ROC analyses identified two fiber tracts as most diagnostic of TBI: the left cingulum (LCG) and the left inferior fronto-occipital fasciculus (LIF). Like ROC, logistic regression identified LCG as most predictive for the FA measure but identified the right anterior thalamic tract (RAT) for the MD, RD, and AD measures. These findings are potentially relevant to the development of TBI biomarkers. Our methods also demonstrate how ROC analysis may be used to identify clinically relevant variables in the TBI population.

The brain-derived neurotrophic factor Val66Met polymorphism and rate of decline in Alzheimer's disease.

It is largely unknown why some patients with Alzheimer's disease (AD) decline cognitively more rapidly than others. Genetic differences among patients could influence rate of decline. Brain-derived neurotrophic factor (BDNF) is a neurotrophin important in the survival neurons and in memory function. BDNF levels are reduced in the brain in AD. The Val66Met polymorphism in the BDNF gene modifies neuronal BDNF secretion, and affects hippocampal function and memory performance. We tested the hypothesis that the BDNF Val66Met polymorphism influences rate of cognitive decline in AD. In a sample of 149 AD patients followed for an average of 3.9 years, we found no effect of BDNF Val66Met genotype on rate of change in the Mini Mental State Examination. Results were similar when we excluded patients taking an acetylcholinesterase inhibitor, those placed in a nursing home during the study, or those with a neuropathological diagnosis that included AD plus an entity other than AD. We also found no evidence that the effects of the BDNF Val66Met genotype depend on APOE genotype, which itself had no effect on rate of cognitive change. These findings suggest that the functional BDNF Val66Met variant is not a major determinant of rate of cognitive decline in AD.

Factors associated with use of medications with potential to impair cognition or cholinesterase inhibitors among Alzheimer's disease patients.

BACKGROUND: The aim of this study was to use a signal detection method to examine the prevalence of, and patient characteristics associated with, medication with potential to impair cognition and cholinesterase inhibitor use in patients with Alzheimer's disease. METHODS: A cross-sectional study was conducted of 1,954 patients with a diagnosis of probable or possible Alzheimer's disease. Concurrent medications were measured, specifically: (1) a medication with potential to impair cognition or (2) a cholinesterase inhibitor. Predictor variables included age, gender, ethnic group, education, age of symptom onset, number of prescriptions, number of medical diagnoses, Mini-Mental State Examination (MMSE), Blessed-Roth Dementia Rating Scale (BRDRS), probable versus possible AD diagnosis. RESULTS: Fifteen percent of the Alzheimer's disease patients were on a medication with potential to impair cognition, and 44% were on a cholinesterase inhibitor. Patient characteristics associated with the prescription of a medication with potential to impair cognition included total number of prescription medications, low education, low MMSE, older age, reported lack of vitamin use, and more medical diagnoses. Patient characteristics associated with the prescription of a cholinesterase inhibitor included reported use of vitamins, the total number of prescription medications, fewer medical diagnoses, lower age of symptom onset, and higher education. CONCLUSIONS: Determining the patient characteristics associated with the prescription of a medication with potential to impair cognition can help clinicians identify patients who are at risk for drug-related morbidity. Patient characteristics unassociated with dementia appear to influence the prescription of cholinesterase inhibitors. Signal detection analysis is well suited to this type of research.

Principal components analysis of agitation outcomes in Alzheimer's disease.

BACKGROUND: We developed a composite measure of agitation as a secondary outcome of change over time in the Citalopram for Agitation in Alzheimer's disease study (CitAD). CitAD demonstrated a positive effect of citalopram on agitation on the Neurobehavioral Rating Scale agitation subscale (NBRS-A). CitAD included additional agitation measures such as the Cohen-Mansfield Agitation Inventory and the Neuropsychiatric Inventory. METHODS: We performed principal components analyses on change in individual item of these scales for the same, original CitAD subjects. RESULTS: The first principal component accounted for 12.6% of the observed variance and was composed of items that appear to reflect agitation. The effect size for citalopram calculated using this component was 0.53 (95% CI 0.22-0.83) versus 0.32 for the NBRS-A (95% CI 0.01-0.62). CONCLUSIONS: Results suggest that a composite measure of change in agitation might be more sensitive than change in a single primary agitation measure.

Sedation mediates part of Citalopram's effect on agitation in Alzheimer's disease.

BACKGROUND: We found a benefit of citalopram for agitation in the Citalopram for Agitation in Alzheimer's Disease study (CitAD), and wondered if this was mediated by a sedative effect. CitAD was a randomized, placebo-controlled, double-blind, parallel group trial conducted at 8 academic centers in the United States and Canada from August 2009 to January 2013. One hundred sixty-two participants with probable Alzheimer's disease (AD) and clinically significant agitation were analyzed in this study. Participants received a psychosocial intervention and were randomized to receive either citalopram or placebo (approximately half assigned to each group). Participants were rated on the Neurobehavioral Rating Scale Agitation subscale and measures of sedation (i.e., fatigue and somnolence). METHODS: Using the MacArthur Foundation procedures for documenting a mediator effect, we performed a secondary analysis examining whether sedation mediates the effect of treatment on agitation outcome. RESULTS: We found a statistically significant mediating effect of sedation on agitation outcomes, but the magnitude of the effect was small, only explaining 11% of the variance in agitation, with a significant, but modest effect size of 0.16 (95% CI: 0.08 to 0.22). CONCLUSIONS: The benefit of citalopram was partly due to sedation but largely due to other mechanisms of action.

Cognitive ability, expertise, and age differences in following air-traffic control instructions.

Differences in cognitive ability and domain-specific expertise may help explain age differences in pilot performance. Pilots heard air-traffic controller messages and then executed them while "flying" in a simulator. Messages varied in length and speech rate. Age was associated with lower accuracy, but the expected Age x Message Difficulty interactions were not obtained. Expertise, as indexed by pilot ratings, was associated with higher accuracy; yet expertise did not reduce age differences in accuracy. The effect of age on communication task accuracy was largely explainable as an age-associated decrease in working memory span, which in turn was explainable as decreases in both speed and interference control. Results are discussed within frameworks of deliberate practice and cognitive mediation of age differences.

The STEP model: Characterizing simultaneous time effects on practice for flight simulator performance among middle-aged and older pilots.

Understanding the possible effects of the number of practice sessions (practice) and time between practice sessions (interval) among middle-aged and older adults in real-world tasks has important implications for skill maintenance. Prior training and cognitive ability may impact practice and interval effects on real-world tasks. In this study, we took advantage of existing practice data from 5 simulated flights among 263 middle-aged and older pilots with varying levels of flight expertise (defined by U.S. Federal Aviation Administration proficiency ratings). We developed a new Simultaneous Time Effects on Practice (STEP) model: (a) to model the simultaneous effects of practice and interval on performance of the 5 flights, and (b) to examine the effects of selected covariates (i.e., age, flight expertise, and 3 composite measures of cognitive ability). The STEP model demonstrated consistent positive practice effects, negative interval effects, and predicted covariate effects. Age negatively moderated the beneficial effects of practice. Additionally, cognitive processing speed and intraindividual variability (IIV) in processing speed moderated the benefits of practice and/or the negative influence of interval for particular flight performance measures. Expertise did not interact with practice or interval. Results indicated that practice and interval effects occur in simulated flight tasks. However, processing speed and IIV may influence these effects, even among high-functioning adults. Results have implications for the design and assessment of training interventions targeted at middle-aged and older adults for complex real-world tasks.