Detection of early cognitive change: Linking to clinically meaningful outcomes (Project 4)

总结-项目4：认知。鉴于一系列令人失望的临床试验结果在症状

SUMMARY—PROJECT 4: COGNITION. Given the series of disappointing clinical trial results at symptomatic stages of Alzheimer’s disease (AD), it has become even more urgent to elucidate the temporal relationships between accumulation of the molecular pathology of AD and the emergence of the earliest clinical manifestations. Over the second cycle of Project 4, we found consistent evidence that elevated amyloid-beta (aβ) is associated with future cognitive decline; however, there is considerable heterogeneity in rates of decline. It is increasingly clear that aβ in isolation is not sufficient for imminent decline, and it is possible that aβ becomes much less relevant once tau pathology and neurodegeneration are widespread. Thus, we now seek to better understand the patterns of cognitive change associated with the earliest phases of accumulation of both aβ and tau, even below current thresholds for abnormality, and to characterize the “pre-preclinical” phase of AD, as well as the factors that promote successful aging and resilience to cognitive decline. At the other end of the preclinical AD spectrum, we will investigate whether early cognitive change is predictive of progression to clinical impairment, as we will have up to 15 years of follow-up. In Aim 1, we strive to further elucidate the temporal association between longitudinal aβ and tau accumulation and cognitive trajectories. In addition to our work with the Preclinical Alzheimer Cognitive Composite (PACC), we will go deeper and focus on the specific cognitive processes associated with the earliest accumulation of aβ and tau, in the context of the multiple factors that may interact with these pathologies. In Aim 2, we will utilize digital technology to advance our work to go faster by detecting cognitive change more rapidly and with greater specificity and accuracy. Our initial work using home iPAD testing revealed a marked lack of “practice effect” despite repeated exposure to face-name pair stimuli every month on the iPad, associated with elevated aβ. We now propose to test whether we can detect a similar pattern of diminished practice effect over a period of days. We have also begun working with an Artificial Intelligence (AI) software platform using a digital pen to capture subtle cognitive inefficiencies in non-memory processes. In Aim 3, we will go broader, beyond cognitive testing, to examine clinically relevant measures that include self- and study-partner report of cognitive function, every day activities, and neurobehavioral alterations to elucidate potential bi-directional relationships and temporal sequence of these changes along the trajectory of preclinical AD. We will use these measures to assess the “clinical meaningfulness” of early cognitive change, and to improve our predictions of progression to clinical impairment, in combination with imaging AD markers. Project 4 will leverage the rich longitudinal neuropsychological, behavioral, and multi-modality imaging data available on the HABS cohort to improve our understanding of relationships between the accumulation of aβ and tau in the aging brain and cognitive trajectories, and ultimately to inform ongoing and future trials aiming to prevent cognitive decline.