Cooperative Agreement R56MH117107

The University of North Carolina at Chapel Hill will develop computational tools to harmonize multi-site neuroimaging data and enable personalized analysis of subjective cognitive decline and Alzheimer's disease-related disorders through a $2.8 million project grant from the National Institute on Aging. Under the award effective May 1, 2022, UNC-Chapel Hill will create machine learning frameworks for feature-level and image-level harmonization of data from 79 imaging centers involving over 5,300...

This three-year, $2.288 million project grant from the National Institutes of Health's National Institute on Drug Abuse will support the development of new analytic tools and computational frameworks to understand complex spatiotemporal brain activity from large-scale, multi-modal neuroscience data. Specifically, the New York University School of Medicine will utilize electrophysiological recordings and calcium imaging data to decode representations of spatial and task information in hippocampal...

The National Institute of Biomedical Imaging and Bioengineering (NIBIB) awarded a $389,813 Project Grant (R21EB034428) to the University of California, Los Angeles (UCLA) to develop and assess novel frameworks that can be employed in early post-traumatic brain injury (TBI) care. The project aims to leverage non-parametric models and machine learning techniques to fuse and incorporate routine multimodal and multiplex magnetic resonance imaging (MRI) signals into a prediction framework. This is...

This three-year, $4.62 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. The Johns Hopkins University will develop a digital biomarker to predict conversion from transient post-stroke cognitive impairment to persistent vascular cognitive impairment using functional brain network signals derived from magnetoencephalography and electroencephalography data. Researchers will collect MEG...

This Project Grant from the National Institutes of Health's National Institute on Aging, under the Aging Research program (CFDA 93.866), provided $137,342.16 to Stanford University to develop generalizable deep learning networks for dual-tracer amyloid and tau positron emission tomography (PET) and magnetic resonance imaging (MRI) of Alzheimer's disease. Specifically, the university will validate the diagnostic value of convolutional neural networks (CNNs) in actual ultra-low-dose amyloid and...

The National Institute on Aging awarded a $2,166,172 Project Grant (CFDA 93.866 - Aging Research) to Indiana University to develop computationally efficient Bayesian techniques for functional magnetic resonance imaging (fMRI)-based biomarker discovery in Alzheimer's disease (AD). The project aims to leverage population-derived priors and grayordinates data processing to enable precise functional brain feature extraction from individual subjects, without the need for prolonged imaging scans. To...

This federal Cooperative Agreement award, totaling $1,377,361, was issued by the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242). The award aims to develop and validate neuroimaging biomarkers that can predict individual patient responses to two emerging treatments for treatment-resistant depression: ketamine and repetitive transcranial magnetic stimulation (rTMS). The project, led by Weill Medical College of Cornell University, will first...

This $194,022 Project Grant was awarded by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) under the "Discovery and Applied Research for Technological Innovations to Improve Human Health" (CFDA 93.286) program. The goal of this 4-year grant is to facilitate the transition of the Principal Investigator, an oncologist at Massachusetts General Hospital (MGH), to independence as a translational researcher using deep learning to study therapeutic resistance in...

This Project Grant award from the National Institute of Mental Health (NIMH) under the Mental Health Research Grants program (CFDA 93.242) will fund a multi-center, randomized clinical trial to evaluate the use of biomarkers to guide treatment decisions for individuals experiencing a first episode of psychosis (FEP). The $665,508 award to the Centre for Addiction and Mental Health (CAMH) in Canada will support a study to characterize 410 FEP patients using brain imaging and genetic tests to...

This Project Grant award from the National Institute on Aging (CFDA 93.866 - Aging Research) provides $3,125,393.00 to conduct an integrative computational multimodal study on age-related white matter hyperintensities (WMH). The award aims to disentangle the pathophysiologic heterogeneity of WMH and its link to conditions like stroke, cognitive decline, and dementia in the aging population. The study will leverage machine learning techniques to derive distinct, disease-specific WMH spatial...