This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $466,125 to New York University (NYU) to develop a biologically relevant multi-scale model of brain aging using advanced diffusion MRI (dMRI) techniques. The project aims to generate brain charts of quantitative dMRI and mesoscopic MRI (mesoMRI) markers across the lifespan, creating a brain microstructure age framework. This framework will then be used to evaluate the effects of...
This $107,948 Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to enhance understanding of the biological signatures that distinguish subgroups of patients with Alzheimer's disease (AD). The key goals are to: Determine if AD subtypes can be identified solely using magnetic resonance imaging (MRI)-derived features through the application of machine learning algorithms. Integrate epigenetic profiles, including small non-coding RNA expression and DNA...
This $4.46 million project grant from the National Institute on Aging, part of the Department of Health and Human Services, supports research under the Aging Research program (CFDA 93.866) to develop a new in vivo magnetic resonance imaging biomarker for early detection of Alzheimer's disease neurodegeneration. Specifically, the awardee, Washington University, will utilize quantitative gradient recalled echo MRI techniques to identify two types of hippocampal tissue in preclinical and mild...
This Project Grant award of $1,541,942.00 from the National Institute on Aging (NIA) under the Aging Research program (CFDA 93.866) supports the development of flexible multivariate models for linking multi-scale brain connectome and genomic data in Alzheimer's disease and related disorders. The research aims to create advanced algorithmic approaches that can perform joint decomposition of multimodal neuroimaging and genomic data, addressing key limitations of existing data fusion models. The...
This $287,118 Project Grant was awarded on September 1, 2023 by the National Institute on Aging (NIA) under the Aging Research (CFDA 93.866) grant program. The grant will fund the development of techniques to use deep transfer learning and multimodal data, including brain MRIs, genetic information, and cognitive tests, to enable the early detection and forecasting of Alzheimer's disease progression. The University of Massachusetts (UMass), as the prime awardee, will create an end-to-end...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) will support Emory University's research into the genetic regulation of brain transcriptomics and proteomics associated with Alzheimer's disease and related dementias. The $528,876 award, effective June 1, 2025, will fund the development of new analytic tools to integrate genomic data across multiple tissues and improve the identification of genetic risk factors and underlying molecular mechanisms for...
This federal Project Grant award of $307,000.00 from the National Institute on Aging (CFDA 93.866 - Aging Research) aims to conduct a single, highly powered study to identify memory processes that are most sensitive to the asymptomatic, preclinical stage of Alzheimer's disease (AD) pathology. The study combines a continuous report item-location associative memory task with advanced behavioral and neural modeling to estimate subtle changes in memory precision that may differentiate healthy...
This $2,365,042 Project Grant was awarded by the National Institute on Aging (NIA) under the Aging Research Federal Grant Program (CFDA 93.866) to conduct research on the biological underpinnings of Alzheimer's disease and related dementias (ADRD). The research aims to better characterize the interplay between biological markers of neurodegeneration, vascular, nutritional, and inflammatory systems, and their interface with social and economic factors, by leveraging cross-national comparisons...
This federal Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) to the University of Southern California provides $622,401 over 5 years starting January 1, 2025 to research causal models of brain biomarker changes leading to Alzheimer's disease and related dementias (ADRD). The project aims to: 1) fit novel deep learning models to predict ADRD pathology from diffusion MRI data, 2) generate individualized brain morphology prediction maps as "digital...
This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) will fund a study to examine how high-resolution diffusion imaging can provide new insights into age-related changes in white matter connectivity and their impact on cognitive function and brain network dynamics. The $300,892 award to Duke University, which runs from October 2024 through April 2027, will support research across three aims: 1) comparing standard and high-resolution diffusion imaging...
This Project Grant award from the National Institute on Aging (CFDA 93.866 Aging Research) provides $3,624,314 to develop advanced computational techniques for extracting precise functional brain features from functional magnetic resonance imaging (fMRI) data. The goal is to discover novel fMRI-based biomarkers for Alzheimer's disease (AD) that can complement existing biomarkers and enable non-invasive, clinically viable screening methods. The project will leverage population-derived priors and hierarchical modeling to obtain nuanced functional brain measures from individuals, avoiding the need for prolonged fMRI scans. It will also develop a novel harmonization method for fMRI time series data to enable effective multi-site analysis. The resulting fMRI-based AD biomarkers will be evaluated using data from the Alzheimer's Disease Neuroimaging Initiative (ADNI). Key sub-awards support statistical modeling and analysis contributions from researchers at Johns Hopkins University and Brown University.