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OBJECTIVES: Music-based interventions have received growing attention to improve quality of life for people diagnosed with dementia. Results of randomized controlled trials and meta-analytic reviews to date, however, reveal a lack of conclusive evidence for or against the effectiveness of such interventions. Herein, we critically review the basic assumptions and methodological issues ingrained in the cultures of research and care as they relate to evaluating music-based treatments for people with dementia, and propose a shift in the methodology by which music interventions are empirically evaluated. METHOD: We begin by reviewing existing barriers to achieving clarity on the effectiveness of music interventions, and we highlight methodological and sociocultural constraints that have limited our ability to reach concrete conclusions in research studies to-date. We then consider several key factors that have demonstrated relevance in matching people to specific music-based interventions. Based on these key factors, we developed a person-centered framework integrating elements from precision-medicine methodology to guide intervention studies. RESULTS: Our organizing framework systematically integrates the following factors to inform the design of intervention studies: 1) person-centered goals and desired outcomes; 2) differences among individuals in clinical, cognitive, and historical attributes; and 3) the context of intervention and access to resources. CONCLUSION: Integration of the proposed framework into empirical investigations of music interventions for people living with dementia will inform precise and tailored interventions that will bring clarity to this growing body of research. Another aim of this framework is to foster a more humane, person-centered approach to our culture of care.

INTRODUCTION: Multi-domain intervention for Alzheimer’s disease (AD) risk reduction is an emerging therapeutic paradigm. METHODS: Patients were prescribed individually-tailored interventions (education/pharmacologic/non-pharmacologic) and rated on compliance. Normal cognition/subjective cognitive decline/preclinical-AD were classified as Prevention. Mild cognitive impairment due to AD/mild-AD were classified as Early Treatment. Change from baseline to 18-months on the modified-Alzheimer’s Prevention Cognitive Composite (primary outcome) was compared against matched historical control cohorts. Cognitive aging composite (CogAging), AD/cardiovascular risk-scales, and serum biomarkers were secondary outcomes. RESULTS: 174 were assigned interventions (age 25–86). Higher-compliance Prevention improved more than both historical cohorts (P=.0012,P

Social relationships change across the lifespan as social networks narrow and motivational priorities shift to the present. Interestingly, aging is also associated with changes in executive function, including decision-making abilities, but it remains unclear how age-related changes in both domains interact to impact financial decisions involving other people. To study this problem, we recruited 50 human participants (Nyounger = 26, ages 18-34; Nolder = 24, ages 63-80) to play an economic trust game as the investor with three partners (friend, stranger, and computer) who played the role of investee. Investors underwent functional magnetic resonance imaging (fMRI) during the trust game while investees were seated outside of the scanner. Building on our previous work with younger adults showing both enhanced striatal responses and altered default-mode network (DMN) connectivity as a function of social closeness during reciprocated trust, we predicted that these relations would exhibit age-related differences. We found that striatal responses to reciprocated trust from friends relative to strangers and computers were blunted in older adults relative to younger adults, thus supporting our primary pre-registered hypothesis regarding social closeness. We also found that older adults exhibited enhanced DMN connectivity with the temporoparietal junction (TPJ) during reciprocated trust from friends compared to computers while younger adults exhibited the opposite pattern. Taken together, these results advance our understanding of age-related differences in sensitivity to social closeness in the context of trusting others.

Objective:Relative to dementia, little is known about informant bias in mild cognitive impairment (MCI). We investigated the influence of informant demographic and relational characteristics on reports of everyday functioning using the Functional Activities Questionnaire (FAQ).Method:Four thousand two hundred eighty-four MCI participants and their informants from the National Alzheimer’s Coordinating Center Uniform Data Set were included. Informants were stratified according to cohabitation, relationship, visit frequency, race/ethnicity, education, and sex. Informant-rated Mean FAQ score was compared across these groups using univariate general linear model analyses and post hoc tests. Interactions were tested between informant variables. The predictive contribution of informant variables to FAQ score was explored using hierarchical linear regression. Analyses covaried for participant cognition using a cognitive composite score, and for participant age, sex, and depression.Results:After controlling for participant cognition, depression, age, and sex, informant-rated FAQ scores varied significantly across all informant variables (p’s < .005, ηp2’s ≤ .033) except sex and visit frequency. FAQ scores were higher (more impaired) among informants who cohabitate with the participant, among paid caregivers, spouses, and adult children, and among informants with higher levels of education. Scores were lowest (less impaired) among Black/African American informants as compared to all other racial/ethnic groups.Conclusions:Demographic and relational characteristics of informants influence the perception and reporting of instrumental activities of daily living in adults with MCI. As everyday functioning is crucial for differential diagnosis and treatment outcome measurement, it is important to be aware of sources of informant report discrepancies.

Introduction Low awareness of Alzheimer's disease (AD) clinical trials is a recruitment barrier. To assess whether online education may affect screening rates for AD prevention clinical trials, we conducted an initial prospective cohort study (n = 10,450) and subsequent randomized study (n = 351) using an online digital tool: AlzU.org. Methods A total of 10,450 participants were enrolled in an initial cohort study and asked to complete a six‐lesson course on AlzU.org, as well as a baseline and 6‐month follow‐up questionnaire. Participants were stratified into three groups based on lesson completion at 6 months: group 1 (zero to one lesson completed), group 2 (two to four lessons), and group 3 (five or more lessons). For the subsequent randomized‐controlled trial (RCT), 351 new participants were enrolled in a six‐lesson course (n = 180) versus a time‐neutral control (n = 171). Screening and enrollment in the Anti‐Amyloid Treatment in Asymptomatic AD (A4) clinical trial were reported via the 6‐month questionnaire and are the primary outcomes. Results Cohort: 3.9% of group 1, 5% of group 2, and 8.4% of group 3 screened for the A4 trial. Significant differences were found among the groups (P

Introduction The NIH Toolbox Cognition Battery (NIHTB-CB) is a computer-based protocol not yet validated for clinical assessment. Methods We administered the NIHTB-CB and traditional neuropsychological tests to 247 Memory Disorders and Alzheimer's Prevention Clinic patients with subjective cognitive decline, mild cognitive impairment, mild dementia due to Alzheimer's disease, and normal cognition. Principal component analysis, partial correlations, and univariate general linear model tests were performed to assess construct validity. Discriminant function analyses compared classification accuracy. Results Principal component analysis identified three conceptually coherent factors: memory (MEMNIH), executive function (EFNIH), and crystallized intelligence (CINIH). These factors were strongly associated with corresponding traditional tests and differed across diagnostic groups as expected. Both NIHTB and traditional batteries yielded strong overall discriminative ability (>80%). Discussion The NIHTB-CB is a valid method to assess neurocognitive domains pertinent to aging and dementia and has utility for applications in a memory clinic setting.

Alzheimer’s disease (AD) is the most common form of dementia worldwide, with the disease burden expected to rise as the population ages. No pharmacological therapy is currently available to cure or prevent AD. Nonetheless, recent research suggests that nutritional and lifestyle modifications might help delay or even prevent the onset of AD, especially when instituted prior to substantial neuronal loss. This article reviews proposed nutritional interventions for AD prevention that focus on adopting dietary patterns and improvement of macro- and micronutrient distribution or intakes, improvement of insulin resistance, correction of dyslipidemia, and reduction of oxidative stress.

ADHD and the specific learning disorders of dyslexia and dyscalculia form a class of neurodevelopmental disorders which are often undiagnosed in childhood, especially for adults born before these disorders were recognized. Recent research has revealed that the symptoms of these disorders can persist across the lifespan and cause substantial disabilities in work, school, and personal life. Moreover, these disorders may influence how neurodegenerative disease symptoms and pathology begin and spread. Despite the proliferation of diagnostic instruments for assessing ADHD and learning disorder during childhood, however, availability of validated modalities for the adult population is significantly limited. This is a critical research gap given the considerable adult disease burden (up to 6% of the population), the differences between adult and pediatric presentation, and the fact that the most promising treatments for neurodegenerative diseases will be initiated in minimally symptomatic adults. In this review, we describe the available self-report scales, neuropsychological tests, and structural imaging and genetic biomarkers that may allow accurate identification of adults with ADHD, dyslexia, and dyscalculia. Discussion of these instruments may provide clinicians with a set of tools to reduce cognitive disability in educational, occupational, and medical populations.

Alzheimer's disease (AD) is a major source of morbidity and mortality, with the disease burden expected to rise as the population ages. No disease-modifying agent is currently available, but recent research suggests that nutritional and lifestyle modifications can delay or prevent the onset of AD. However, preventive nutritional interventions are not universally applicable and depend on the clinical profile of the individual patient. This article reviews existing nutritional modalities for AD prevention that act through improvement of insulin resistance, correction of dyslipidemia, and reduction of oxidative stress, and discusses how they may be modified on the basis of individual biomarkers, genetics, and behavior. In addition, we report preliminary results of clinical application of these personalized interventions at the first AD prevention clinic in the United States. The use of these personalized interventions represents an important application of precision medicine techniques for the prevention of AD that can be adopted by clinicians across disciplines.

Like virtually all age-related chronic diseases, late-onset Alzheimer's disease (AD) develops over an extended preclinical period and is associated with modifiable lifestyle and environmental factors. We hypothesize that multimodal interventions that address many risk factors simultaneously and are individually tailored to patients may help reduce AD risk. We describe a novel clinical methodology used to evaluate and treat patients at two Alzheimer's Prevention Clinics. The framework applies evidence-based principles of clinical precision medicine to tailor individualized recommendations, follow patients longitudinally to continually refine the interventions, and evaluate N-of-1 effectiveness (trial registered at ClinicalTrials.gov NCT03687710). Prior preliminary results suggest that the clinical practice of AD risk reduction is feasible, with measurable improvements in cognition and biomarkers of AD risk. We propose using these early findings as a foundation to evaluate the comparative effectiveness of personalized risk management within an international network of clinician researchers in a cohort study possibly leading to a randomized controlled trial.

Background Neurodevelopmental learning and attentional disorders (NLAD) such as dyslexia, dyscalculia and attention deficit hyperactivity disorder (ADHD) affect at least 6% of the adult population or more. They are associated with atypical cognitive patterns in early and adult life. The cognitive patterns of affected individuals in late life have never been described. One main challenge is detecting individuals in clinical settings during which mild cognitive changes could be confounding the clinical presentation. This is a critical research gap because these conditions interact, across the life course, with an individual’s risk for dementia. Also, learning disabilities which present in childhood pose persistent cognitive differences in areas involving executive function, reading and math. Clinicians lack tools to detect undiagnosed neurodevelopmental in adults with memory disorders. The majority of patients presenting at memory clinics today come from a generation during which NLAD were not yet clinically recognized. In this study, we hypothesized that a self-report scale can detect NLAD in a memory clinic population. Methods We developed a self-report, retrospective childhood cognitive questionnaire including key attributes adapted from prior validated measures. 233 participants were included in the primary analysis. Results Confirmatory Factor Analysis resulted in a best-fit model with six labelled factors (Math, Language, Attention, Working Memory, Sequential Processing, and Executive Function) and 15 total question items. The model demonstrated unidimensionality, reliability, convergent validity, discriminant validity, and predictive validity. Using 1.5 standard deviations as the cut-off, subjects were categorized into: Normal (n = 169), Language (n = 10), Math (n = 12), Attention (n = 10) or Other/Mixed (n = 32). Conclusion A self-report measure can be a useful tool to elicit childhood cognitive susceptibilities in various domains that could represent NLAD among patients in a memory clinic setting, even in the presence of mild cognitive impairment.

Behcet's disease is a rare autoimmune vasculitis that may cause coronary artery aneurysms. We discuss the evaluation and management decisions for a 19-year-old female with a giant rapidly expanding aneurysm of the proximal left anterior descending coronary artery and Behcet's disease. (J Card Surg 2011;26:268-270)