The biological and clinical significance of amyloid ?-protein (A?) deposition in clinically normal older individuals remains to be elucidated. Consistent with prior autopsy studies, we and others have found that a substantial proportion (over 30%) of cognitively intact individuals over age 65 harbor significant amyloid pathology, detectable with PiB-PET imaging, in a similar pattern to that seen in Alzheimer's disease (AD). Our preliminary data indicate that the presence of amyloid is associated with subtle functional, structural and cognitive alterations, even among individuals who are considered clinically normal on screening tests. We seek to determine if asymptomatic older individuals with high amyloid burden are on a trajectory towards clinical AD, as this will open a critical time window for maximally effective therapeutic intervention. Furthermore, we believe that previous studies of """"""""normal"""""""" cognitive aging have likely included many individuals in very early stages of prodromal AD, and that it is important to characterize age-related changes in cognition, brain structure and function in the absence of amyloid pathology. The Harvard Amyloid and Aging Brain PPG will study 300 clinically normal older individuals with a novel combination of molecular, functional, and structural imaging, plasma and CSF markers, and sensitive neuropsychological measures, to: 1) characterize brain and cognitive aging in the presence vs. absence of amyloid and 2) investigate the role of amyloid pathology in the transition from normal aging to prodromal AD. We propose four highly integrated projects, supported by four essential cores. Project 1 will examine executive function in aging, using sensitive imaging measures to assess the integrity of fronto-parietal networks and white matter tracts. Project 2 will investigate the impact of amyloid on memory networks, using functional MRI and challenging tests of episodic memory. Project 3 will characterize plasma and CSF markers of A? and tau, using novel assays to detect soluble A? oligomers and quantify their effects on synaptic structure and function with advanced electrophysiological and anatomical methods. Project 4 will investigate longitudinal accumulation of amyloid and its relationship to well-established imaging markers of AD, including FDG-PET and volumetric MRI, and to functional and cognitive decline. This PPG brings together an exceptional multidisciplinary team of clinical, statistical, cognitive neuroscience, imaging, and laboratory investigators dedicated to exploring the impact of amyloid on the aging brain.
This Program Project will improve our understanding of the aging brain and determine the role of brain amyloid, one of the key brain lesions seen in Alzheimer's disease, in predicting cognitive decline among clinically normal older individuals. We hope to detect the earliest brain changes associated with Alzheimer's disease, even before there is significant cognitive impairment, as this is likely to be the point when treatment would likely be most effective in slowing cognitive decline and preventing dementia. REVIEW OF INDIVIDUAL COMPONENTS OF THE PROGRAM PROJECT CORE A: ADMINISTRATIVE CORE;Dr. Reisa Sperling, Core Leader (CL) DESCRIPTION (provided by applicant): The Administrative Core will provide the leadership, coordination, and administrative oversight to achieve the programmatic goals of the Harvard Amyloid and Aging Brain Program Project Grant (PPG). The Administrative Core will strive to ensure optimal integration among the four Cores and the four Research Projects of the PPG to achieve maximal scientific productivity. The Administrative Core consists of the Principal Investigator (Sperling), Co-investigator (Rentz) and Program Administrator (Houghton), and will work closely with the co-PIs of the PPG (Buckner and Johnson) to enhance the coordination among all components of the PPG. The Administrative Core will provide administrative and scientific oversight of the PPG (Aim 1), and will coordinate monthly meetings of the Executive Committee, and yearly meetings of the external Scientific Advisory Committee (to be named at the time of grant funding). The Administrative Core will facilitate the efficient communication and integration between all components of the PPG, provide oversight of timely data transfer from all Cores and Projects to Core D: Analytic Core to achieve maximal scientific productivity, and track all scientific publications (Aim 2). The Administrative Core will prepare NIH progress reports, interface with Core B: Clinical to prepare IRB documentation and annual continuing review, and with Core C: Imaging Core to prepare annual reports to the MGH Radioactive Drug Research Committee (Aim 3). The Administrative Core will oversee all aspects of the PPG finances to assure fiscal responsibility (Aim 4). The Administrative Core will prepare all budgets, and interface with the MGH Research Administration to monitor all financial and regulatory aspects of the PPG. The Administrative Core will also serve to facilitate coordination with the Massachusetts Alzheimer's Disease Research Center (MADRC), the Martinos Center for Biomedical Imaging at MGH, and other local resources available to the PPG at Harvard. The Administrative Core will oversee an outstanding multidisciplinary group of investigators with a strong record of collaboration and scientific productivity, and a common interest in elucidating the role of amyloid in the transition from normal aging to prodromal AD.
This Core will provide the administrative support to achieve the overall goals of the Project to improve our understanding of the aging brain and the role of amyloid pathology in predicting cognitive decline. We hope to differentiate the brain changes seen in normal aging from the earliest brain abnormalities associated with Alzheimer's disease, in order to enable treatment before the onset of dementia.
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| Lee, Catherine; Betensky, Rebecca A; Alzheimer's Disease Neuroimaging Initiative (2018) Time-to-event data with time-varying biomarkers measured only at study entry, with applications to Alzheimer's disease. Stat Med 37:914-932 |
| Jacobs, Heidi I L; Hedden, Trey; Schultz, Aaron P et al. (2018) Structural tract alterations predict downstream tau accumulation in amyloid-positive older individuals. Nat Neurosci 21:424-431 |
| Chiou, Sy Han; Austin, Matthew D; Qian, Jing et al. (2018) Transformation model estimation of survival under dependent truncation and independent censoring. Stat Methods Med Res :962280218817573 |
| Qian, Jing; Chiou, Sy Han; Maye, Jacqueline E et al. (2018) Threshold regression to accommodate a censored covariate. Biometrics : |
| Orlovsky, Irina; Huijbers, Willem; Hanseeuw, Bernard J et al. (2018) The relationship between recall of recently versus remotely encoded famous faces and amyloidosis in clinically normal older adults. Alzheimers Dement (Amst) 10:121-129 |
| Quiroz, Yakeel T; Sperling, Reisa A; Norton, Daniel J et al. (2018) Association Between Amyloid and Tau Accumulation in Young Adults With Autosomal Dominant Alzheimer Disease. JAMA Neurol 75:548-556 |
| Chhatwal, Jasmeer P; Schultz, Aaron P; Johnson, Keith A et al. (2018) Preferential degradation of cognitive networks differentiates Alzheimer's disease from ageing. Brain 141:1486-1500 |
| Hanseeuw, Bernard J; Betensky, Rebecca A; Mormino, Elizabeth C et al. (2018) PET staging of amyloidosis using striatum. Alzheimers Dement 14:1281-1292 |
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