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Objective:To examine the utility of resting-state functional connectivity MRI (rs-fcMRI) measurements of network integrity as a predictor of future cognitive decline in preclinical Alzheimer disease (AD).Methods:A total of 237 clinically normal older adults (aged 63–90 years, Clinical Dementia Rating 0) underwent baseline β-amyloid (Aβ) imaging with Pittsburgh compound B PET and structural and rs-fcMRI. We identified 7 networks for analysis, including 4 cognitive networks (default, salience, dorsal attention, and frontoparietal control) and 3 noncognitive networks (primary visual, extrastriate visual, motor). Using linear and curvilinear mixed models, we used baseline connectivity in these networks to predict longitudinal changes in preclinical Alzheimer cognitive composite (PACC) performance, both alone and interacting with Aβ burden. Median neuropsychological follow-up was 3 years.Results:Baseline connectivity in the default, salience, and control networks predicted longitudinal PACC decline, unlike connectivity in the dorsal attention and all noncognitive networks. Default, salience, and control network connectivity was also synergistic with Aβ burden in predicting decline, with combined higher Aβ and lower connectivity predicting the steepest curvilinear decline in PACC performance.Conclusions:In clinically normal older adults, lower functional connectivity predicted more rapid decline in PACC scores over time, particularly when coupled with increased Aβ burden. Among examined networks, default, salience, and control networks were the strongest predictors of rate of change in PACC scores, with the inflection point of greatest decline beyond the fourth year of follow-up. These results suggest that rs-fcMRI may be a useful predictor of early, AD-related cognitive decline in clinical research settings.

Background Depressive symptoms are common in older adults and associated with increased morbidity and cognitive decline. These symptoms occur during preclinical and prodromal stages of Alzheimer's disease (AD), but their relationship to tau, one of the main AD proteinopathies, is poorly understood. Objective The objective of this study was to investigate the cross-sectional association between depressive symptoms and cerebral tau [18F T807 (also known as 18F-AV-1451) tau positron emission tomography (PET) imaging] in cognitively normal (CN) older adults. Methods We measured depressive symptoms using the Geriatric Depression Scale (GDS), and in vivo cerebral tau using T807 PET in 111 CN older adults. We employed general linear regression models to evaluate the relationship of GDS score regressed on entorhinal cortex (EC) or inferior temporal (IT) tau in separate backward elimination models. Other predictors included age, sex, and in secondary analyses, amyloid (Pittsburgh Compound B PET). Results Higher GDS was significantly associated with greater IT tau (partial r = 0.188, p = 0.050) and marginally associated with greater EC tau (partial r = 0.183, p = 0.055). In additional analyses including both linear and quadratic age terms, we found a significant U-shaped relation of GDS to age (p = 0.001). Conclusions Results suggest that IT and EC tau are modestly associated with depressive symptoms in CN older adults. Findings suggest a link between depressive symptoms and tau-mediated neurodegeneration in a region vulnerable in AD. Future longitudinal studies examining the association of more severe depressive symptoms and cerebral tau accumulation are needed to substantiate this finding and to guide prevention and treatment in AD.

The Harvard Aging Brain Study is sharing its data with the global research community. The longitudinal dataset consists of a 284-subject cohort with the following modalities acquired: demographics, clinical assessment, comprehensive neuropsychological testing, clinical biomarkers, and neuroimaging. To promote more extensive analyses, imaging data was designed to be compatible with other publicly available datasets. A cloud-based system enables access to interested researchers with blinded data available contingent upon completion of a data usage agreement and administrative approval. Data collection is ongoing and currently in its fifth year. (C) 2015 Elsevier Inc. All rights reserved.

Neuropsychologists are developing more challenging and specific tests to detect early and subtle changes in cognition related to preclinical Alzheimer's disease (AD). The 16-item Face-Name Associative Memory Exam (FNAME-16) is a challenging paired associative memory test able to detect subtle memory changes associated with biomarker evidence of preclinical AD. However, as individuals progress along the AD trajectory, measures that are sensitive at the preclinical stage may become too challenging by the stage of Mild Cognitive Impairment (MCI). Our goal was to develop a modified version of the face-name and face-occupation paired associative memory task (FNAME-12) with fewer stimuli and additional learning trials suitable for use in MCI. We administered the FNAME-12A, an alternate version FNAME 12B, the original FNAME-16, and a series of other neuropsychological measures to 65 clinically normal (CN) older adults (aged 65 to 85) and a subsample characterized by MCI (n=18). The FNAME-12 exhibited psychometric equivalence with the FNAME-16 (r=0.77, p

Changes in cognitive functioning are said to be part of normal aging. Quantitative MRI has made it possible to measure structural brain changes during aging which may underlie these decrements which include slowed information processing and memory loss. Much has been written on white matter hyperintensities (WMH), which are associated with cognitive deficits on tasks requiring processing speed and executive functioning, and hippocampal volume loss, which is associated with memory decline. Here we examine volumetric MRI measures of WMH and hippocampal volume loss together in relation to neuropsychological tests considered to be measures of executive functioning and processing speed in 81 non-demented elderly individuals, aged 75-90. Correlational analysis showed that when controlling for age, both greater WMH volume and smaller hippocampal volume were correlated with slower performances on most tests with the exception of a battery of continuous performance tests in which only WMH was correlated with slower reaction time (RT). We then performed a series of hierarchical multiple regression analyses to examine the independent contributions of greater WMH volume and reduced hippocampal volume to executive functioning and processing speed. The results showed that for the four measures requiring executive functioning and speed of processing, WMH volume and hippocampal volume combined predicted between 21.4% and 37% of the explained variance. These results suggest that WM integrity and hippocampal volume influence cognitive decline independently on tasks involving processing speed and executive function independent of age.

The aim of this article was to evaluate in normal older adults and preclinical Alzheimer's disease (AD) the impact of amyloid and regional tauopathy on cerebral glucose metabolism and subsequent memory decline.We acquired positron emission tomography using F18 flortaucipir (tau), C11 Pittsburgh compound B (amyloid), and F18 fluorodeoxyglucose (FDG) in 90 clinically normal elderly of the Harvard Aging Brain Study.Posterior cingulate metabolism decreased when both amyloid and neocortical tau were high and predicted subsequent memory decline in a larger sample of normal elderly. In contrast, frontal hypometabolism related to the common age-related entorhinal tauopathy, but this dysfunction was independent of amyloid, and did not predict significant memory decline. Neocortical tauopathy was positively associated with metabolism in individuals with subthreshold amyloid, suggesting that glucose metabolism increases before decreasing in the course of preclinical AD.Our study identified a synergistic effect of amyloid and tau deposits and demonstrated, for the first time, in normal elderly its link to AD-like hypometabolism and to AD-like memory decline. The amyloid effect was observed with tau in neocortex, but not with tau in entorhinal cortex, which is the common site of age-related tauopathy. Entorhinal tau was associated with frontal hypometabolism, but this dysfunction was not associated with memory loss. Ann Neurol 2017;81:583-596.

Huntington’s disease (HD), an autosomal-dominant genetic disorder, has historically been viewed as a degenerative movement disorder but it also includes psychiatric symptoms and progressive cognitive decline. There has been a lack of consensus in the literature about whether or not cognitive signs can be detected in carriers before clinical (motor) onset of the disease, i.e., prodromal HD. However, recently validated mathematical formulas to estimate age of clinical onset, refined over the past 5–7 years, have allowed researchers to overcome the methodological limitation of treating all prodromal carriers as a homogenous high-risk group (i.e., whether they may be 2 or 15 years from diagnosis). Here we review 23 articles on the HD prodrome, all of which related cognition to a biological marker of disease burden (i.e., genetic load, neuroimaging). All studies found at least one cognitive domain was associated with disease burden in prodromal HD participants. There was greater variability in both the detection and cognitive domain affected in those farther from onset (or those with less pathology) while most studies reliably found declines in visuomotor performance and working memory in those closer to onset. These findings indicate that cognitive signs can be reliably detected in the HD prodrome when comparing cognition to additional disease markers, however, there continues to be significant variability on cognitive findings among large and methodologically rigorous studies. This may reflect true heterogeneity in the prodromal HD phenotype which must be further explored by analyzing intra-individual variance, determining demographic risk factors associated with decline/protection, and examining if particular HD families exhibit distinct cognitive profiles. These and additional future directions are discussed.

IMPORTANCE: Identifying asymptomatic individuals at high risk of impending cognitive decline because of Alzheimer disease is crucial for successful prevention of dementia. Vascular risk and β-amyloid (Aβ) pathology commonly co-occur in older adults and are significant causes of cognitive impairment. OBJECTIVE: To determine whether vascular risk and Aβ burden act additively or synergistically to promote cognitive decline in clinically normal older adults; and, secondarily, to evaluate the unique influence of vascular risk on prospective cognitive decline beyond that of commonly used imaging biomarkers, including Aβ burden, hippocampal volume, fludeoxyglucose F18–labeled (FDG) positron emission tomography (PET), and white matter hyperintensities, a marker of cerebrovascular disease. DESIGN, SETTING, AND PARTICIPANTS: In this longitudinal observational study, we examined clinically normal older adults from the Harvard Aging Brain Study. Participants were required to have baseline imaging data (FDG-PET, Aβ-PET, and magnetic resonance imaging), baseline medical data to quantify vascular risk, and at least 1 follow-up neuropsychological visit. Data collection began in 2010 and is ongoing. Data analysis was performed on data collected between 2010 and 2017. MAIN OUTCOMES AND MEASURES: Vascular risk was quantified using the Framingham Heart Study general cardiovascular disease (FHS-CVD) risk score. We measured Aβ burden with Pittsburgh Compound-B PET. Cognition was measured annually with the Preclinical Alzheimer Cognitive Composite. Models were corrected for baseline age, sex, years of education, and apolipoprotein E ε4 status. RESULTS: Of the 223 participants, 130 (58.3%) were women. The mean (SD) age was 73.7 (6.0) years, and the mean (SD) follow-up time was 3.7 (1.2) years. Faster cognitive decline was associated with both a higher FHS-CVD risk score (β = −0.064; 95% CI, −0.094 to −0.033; P

Objectives Furthering our understanding of the relationship between amyloidosis (Aβ), neurodegeneration (ND), and cognition is imperative for early identification and early intervention of Alzheimer's disease (AD). However, the subtle cognitive decline differentially associated with each biomarker-defined stage of preclinical AD has yet to be fully characterized. Recent work indicates that different components of memory performance (free and cued recall) may be differentially specific to memory decline in prodromal AD. We sought to examine the relationship between free and cued recall paradigms, in addition to global composites of memory, executive functioning, and processing speed in relation to stages of preclinical AD. Methods A total of 260 clinically normal (CN) older adults (CDR=0) from the Harvard Aging Brain study were grouped according to preclinical AD stages including Stage 0 (Aβ-/ND-), Stage 1 (Aβ+/ND-), Stage 2 (Aβ+/ND+), and suspected non-Alzheimer’s associated pathology (SNAP; Aβ-/ND+). General linear models controlling for age, sex, and education were used to assess for stage-based performance differences on cognitive composites of executive functioning, processing speed, and memory in addition to free and cued delayed recall on the Selective Reminding Test (SRT) and Memory Capacity Test (MCT). Results Global memory performance differed between preclinical stages with Stage 2 performing worse compared with Stage 0. When examining free and cued paradigms by memory test, only the MCT (and not the SRT) revealed group differences. More specifically, Stage 1 was associated with decrements in free recall compared with Stage 0 while Stage 2 was associated with decrements in both free and cued recall. There was a trend for the SNAP group to perform worse on free recall compared with Stage 0. Finally, there was no association between preclinical stage and global composites of executive functioning or processing speed. Conclusions Clinically normal older adults with underlying evidence of amyloidosis and neurodegeneration exhibit subtle, yet measurable differences in memory performance, but only on a challenging associative test. The sensitivity of free vs. cued memory paradigms may be dependent on preclinical stage such that reduced free recall is associated with amyloidosis alone (Stage 1) while a decline in cued recall may represent progression to amyloidosis and neurodegeneration (Stage 2). These findings may have practical applications for clinical assessment and clinical trial design.

To summarize and critically evaluate research on the effects of Tai Chi on cognitive function in older adults.Systematic review with meta-analysis.Community and residential care.Individuals aged 60 and older (with the exception of one study) with and without cognitive impairment.Cognitive ability using a variety of neuropsychological testing.Twenty eligible studies with a total of 2,553 participants were identified that met inclusion criteria for the systematic review; 11 of the 20 eligible studies were randomized controlled trials (RCTs), one was a prospective nonrandomized controlled study, four were prospective noncontrolled observational studies, and four were cross-sectional studies. Overall quality of RCTs was modest, with three of 11 trials categorized as high risk of bias. Meta-analyses of outcomes related to executive function in RCTs of cognitively healthy adults indicated a large effect size when Tai Chi participants were compared with nonintervention controls (Hedges' g = 0.90; P = .04) and a moderate effect size when compared with exercise controls (Hedges' g = 0.51; P = .003). Meta-analyses of outcomes related to global cognitive function in RCTs of cognitively impaired adults, ranging from mild cognitive impairment to dementia, showed smaller but statistically significant effects when Tai Chi was compared with nonintervention controls (Hedges' g = 0.35; P = .004) and other active interventions (Hedges' g = 0.30; P = .002). Findings from nonrandomized studies add further evidence that Tai Chi may positively affect these and other domains of cognitive function.Tai Chi shows potential to enhance cognitive function in older adults, particularly in the realm of executive functioning and in individuals without significant impairment. Larger and methodologically sound trials with longer follow-up periods are needed before more-definitive conclusions can be drawn.

A major barrier to progress in Alzheimer's disease treatment research is the increasingly difficult task of recruiting elderly participants into clinical trials. We conducted an anonymous online survey of 676 adults (average age, 50 years) to examine perceived trust in different components of our healthcare-delivery and clinical-research systems, as well as willingness to participate in clinical trials. Respondents indicated the greatest amount of trust in family members, followed by family physicians. Only 3% of respondents “completely” trusted clinical researchers, whereas 62% of respondents trusted them “somewhat” to care for them during the course of a clinical trial. Trust in clinical researchers was modestly negatively correlated with income (r = −0.165, P < .001), but was not significantly related to sex, race, or education. Respondents indicated the least amount of trust in industry sponsors, followed by regulatory authorities.

Executive dysfunction (ED) is a characteristic of Huntington disease (HD), but its severity and progression is less understood in the prodromal phase, e.g., before gross motor abnormalities. We examined planning and problem-solving abilities using the Towers Task in HD mutation-positive individuals without motor symptoms (n = 781) and controls (n = 212). Participants with greater disease progression (determined using mutation size and current age) performed more slowly and with less accuracy on the Towers Task. Performance accuracy was negatively related to striatal volume while both accuracy and working memory were negatively related to frontal white matter volume. Disease progression at baseline was not associated with longitudinal performance over 4 years. Whereas the baseline findings indicate that ED becomes more prevalent with greater disease progression in prodromal HD and can be quantified using the Towers task, the absence of notable longitudinal findings indicates that the Towers Task exhibits limited sensitivity to cognitive decline in this population.

Background and Purpose Amnestic mild cognitive impairment (aMCI) is a putative prodromal stage of Alzheimer's disease (AD) characterized by deficits in episodic verbal memory. Our goal in the present study was to determine whether executive dysfunction may also be detectable in individuals diagnosed with aMCI. Methods This study used a hidden maze learning test to characterize component processes of visuospatial executive function and learning in a sample of 62 individuals with aMCI compared with 94 healthy controls. Results Relative to controls, individuals with aMCI made more exploratory/learning errors (Cohen's d = .41). Comparison of learning curves revealed that the slope between the first two of five learning trials was four times as steep for controls than for individuals with aMCI (Cohen's d = .64). Individuals with aMCI also made a significantly greater number of rule-break/error monitoring errors across learning trials (Cohen's d = .21). Conclusions These results suggest that performance on a task of complex visuospatial executive function is compromised in individuals with aMCI, and likely explained by reductions in initial strategy formulation during early visual learning and “on-line” maintenance of task rules.

Background Research on the potential effects of cognitive intervention in healthy elderly has been motivated by (1) the apparent effectiveness of cognitive rehabilitation in Alzheimer's disease (AD) patients; (2) the face validity of bolstering skills eventually burdened by disease; (3) interest in low-cost/noninvasive methods of preventing or delaying onset of disease; (4) the epidemiologic research suggesting protective effects of educational attainment and lifelong participation in cognitively stimulating activities; (5) the burgeoning industry of brain training products and requisite media attention; and (6) the aging world population. Methods We performed a systematic review with meta-analytic techniques to analyze randomized controlled trials of cognitive interventions in healthy elderly. Results The weighted mean effect size (Cohen's d ) of cognitive intervention across all outcome measures after training was .16 (95% confidence interval, .138 to .186). The existing literature is limited by a lack of consensus on what constitutes the most effective type of cognitive training, insufficient follow-up times, a lack of matched active controls, and few outcome measures showing changes in daily functioning, global cognitive skills, or progression to early AD. Conclusions Our review was limited by a small, heterogeneous, and methodologically limited literature. Within this literature, we found no evidence that structured cognitive intervention programs delay or slow progression to AD in healthy elderly. Further work that accounts for the limitations of past efforts and subsequent clear and unbiased reporting to the public of the state and progress of research on this topic will help the elderly make informed decisions about a range of potential preventive lifestyle measures including cognitive intervention.

Noninvasive biomarkers of early neuronal injury may help identify cognitively normal individuals at risk of developing Alzheimer’s disease (AD). A recent diffusion-weighted imaging (DWI) method allows assessing cortical microstructure via cortical mean diffusivity (cMD), suggested to be more sensitive than macrostructural neurodegeneration. Here, we aimed to investigate the association of cMD with amyloid-β and tau pathology in older adults, and whether cMD predicts longitudinal cognitive decline, neurodegeneration and clinical progression. The study sample comprised n = 196 cognitively normal older adults (mean[SD] 72.5 [9.4] years; 114 women [58.2%]) from the Harvard Aging Brain Study. At baseline, all participants underwent structural MRI, DWI, 11C-Pittsburgh compound-B-PET, 18F-flortaucipir-PET imaging, and cognitive assessments. Longitudinal measures of Preclinical Alzheimer Cognitive Composite-5 were available for n = 186 individuals over 3.72 (1.96)-year follow-up. Prospective clinical follow-up was available for n = 163 individuals over 3.2 (1.7) years. Surface-based image analysis assessed vertex-wise relationships between cMD, global amyloid-β, and entorhinal and inferior-temporal tau. Multivariable regression, mixed effects models and Cox proportional hazards regression assessed longitudinal cognition, brain structural changes and clinical progression. Tau, but not amyloid-β, was positively associated with cMD in AD-vulnerable regions. Correcting for baseline demographics and cognition, increased cMD predicted steeper cognitive decline, which remained significant after correcting for amyloid-β, thickness, and entorhinal tau; there was a synergistic interaction between cMD and both amyloid-β and tau on cognitive slope. Regional cMD predicted hippocampal atrophy rate, independently from amyloid-β, tau, and thickness. Elevated cMD predicted progression to mild cognitive impairment. Cortical microstructure is a noninvasive biomarker that independently predicts subsequent cognitive decline, neurodegeneration and clinical progression, suggesting utility in clinical trials.