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Iman Aganj, Ph.D.

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Research
The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. Connors BWH-MGB Collaborative IGNITE Award (Iman Aganj) Apr 1, 2023 - Mar 31, 2025
    BWH Connors Center for Women’s Health and Gender Biology & MGB Office of Chief Academic Officer
    Leveraging AI tools for prediction of cardiac remodeling to enhance diagnosis and therapy in women with severe aortic stenosis
    Role Description: Women with severe aortic stenosis, i.e. narrowing of aortic valve opening, are often diagnosed at later ages, and reported to be undertreated with excess mortality versus men. We propose an artificial intelligence (AI) powered, mathematical approach that strives to eliminate such imbalances with focus on left ventricle sex-specific shape analysis to ensure equivalent care for all patients with severe aortic stenosis.
    Role: Multi Principal Investigator
  2. MJFF-021226 (Iman Aganj) Sep 19, 2022 - Sep 18, 2025
    Michael J. Fox Foundation for Parkinson’s Research
    Connectomic Biomarkers of Parkinson’s Disease
    Role Description: We aim to derive and validate novel connectomic imaging biomarkers for Parkinson's disease (PD) by modeling brain connectivity while considering multi-synaptic neural pathways, i.e. those relayed through other regions. We will further improve MRI biomarkers of PD by devising a novel super-resolution approach that exploits information hidden within diffusion MRI to increase the spatial resolution of the image, which is useful in studying small PD-related brain structures and in post-DBS imaging. Finally, to maximize the impact of our efforts, we will incorporate all the tools developed in this project and those we previously developed for connectomic analysis in the widely used open-source neuroimaging package, FreeSurfer.
    Role: Principal Investigator
  3. RF1AG068261 (AGANJ, IMAN) May 1, 2021 - Apr 30, 2024
    NIH
    Connectomic Biomarkers of Preclinical Alzheimer's Disease within Multi-Synaptic Pathways
    Role: Principal Investigator
  4. R56AG068261 (Iman Aganj) Sep 15, 2020 - Apr 30, 2021
    NIH/NIA
    Connectomic biomarkers of preclinical Alzheimer’s disease within multi-synaptic pathways
    Role Description: In this project, using magnetic resonance imaging (MRI) techniques, we will define both vulnerable and resilient brain networks involved in aging and Alzheimer’s disease (AD), and uncover new imaging biomarkers to improve AD diagnosis and treatment. Normal aging, as well as occurrence of neurodegenerative diseases such as AD, can be better understood by mapping complex structural and functional brain networks through which information flows, and via the discovery of important biomarkers that shed light on aging and neurodegenerative disease.
    Role: Principal Investigator
  5. A2016172S (Iman Aganj) Jul 1, 2016 - Sep 30, 2020
    BrightFocus Foundation
    Connectomic Biomarkers of Alzheimer’s Disease Observed in Multi-Synaptic Pathways
    Role: Principal Investigator

Bibliographic
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.