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Iman Aganj, Ph.D.

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Overview

Mentoring
Available: 11/13/20, Expires: 11/30/21

The overall goal of the proposed research is to identify the specific brain networks that are vulnerable in Alzheimer’s disease (AD), and derive new accurate, precise, and robust connectomic imaging biomarkers for (especially preclinical) AD, which could improve diagnosis, disease staging, prediction, assessment of progression, and therapeutic efficacy. Information flows in the human brain through a complex set of structural and functional networks. The complete connectivity map among brain areas, i.e. the connectome, can help to better understand the vulnerability of the brain architecture and function to debilitating neurodegenerative diseases, such as AD, and to discover diagnostically and therapeutically important biomarkers.

Diffusion-weighted MRI (dMRI) is used to noninvasively quantify the structural brain networks. In this project, the student – who is familiar with Matlab and/or Python – will use several existing dMRI databases of AD patients and controls to derive new connectomic biomarkers and validate them through disease staging and correlation with clinical and genetic data on cross-sectional datasets, and via prognosis and prediction of conversion to AD on longitudinal datasets.

The student will act as research assistant performing connectivity computation experiments and statistical analysis. The student should be available for at least 8 hours/week in the lab and should have experience with coding, Matlab, and Python. The project PI is very flexible to meet with the student during the project.

http://iman.mgh.harvard.edu


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. RF1AG068261 (AGANJ, IMAN) May 1, 2021 - Apr 30, 2024
    NIH
    Connectomic Biomarkers of Preclinical Alzheimer's Disease within Multi-Synaptic Pathways
    Role: Principal Investigator
  2. 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
  3. 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
  4. K01DK101631 (AGANJ, IMAN) Jul 15, 2015 - Apr 30, 2021
    NIH
    Computational Tools for the Analysis of MRI Images in Type-1 Diabetes
    Role: Principal Investigator
  5. (Iman Aganj) Jun 1, 2014 - Mar 31, 2015
    Massachusetts Alzheimer’s Disease Research Center
    Connectomic Biomarkers of Alzheimer’s Disease Observed in Multi-Synaptic Pathways
    Role: Principal Investigator

Bibliographic
Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Koley S, Dutta PK, Aganj I. Radius-optimized efficient template matching for lesion detection from brain images. Sci Rep. 2021 Jun 02; 11(1):11586. PMID: 34078935.
    Citations:    Fields:    
  2. Aganj I, Fischl B. Multi-Atlas Image Soft Segmentation via Computation of the Expected Label Value. IEEE Trans Med Imaging. 2021 Jun; 40(6):1702-1710. PMID: 33687840.
    Citations:    Fields:    
  3. Frau-Pascual A, Augustinack J, Varadarajan D, Yendiki A, Salat DH, Fischl B, Aganj I. Conductance-Based Structural Brain Connectivity in Aging and Dementia. Brain Connect. 2021 May 27. PMID: 34042511.
    Citations:    Fields:    
  4. Behjat H, Aganj I, Abramian D, Eklund A, Westin CF. CHARACTERIZATION OF SPATIAL DYNAMICS OF FMRI DATA IN WHITE MATTER USING DIFFUSION-INFORMED WHITE MATTER HARMONICS. Proc IEEE Int Symp Biomed Imaging. 2021 Apr; 2021:1586-1590. PMID: 34084267.
    Citations:    
  5. Abramian D, Larsson M, Eklund A, Aganj I, Westin CF, Behjat H. Diffusion-informed spatial smoothing of fMRI data in white matter using spectral graph filters. Neuroimage. 2021 May 14; 237:118095. PMID: 34000402.
    Citations: 1     Fields:    
  6. Aganj I, Frau-Pascual A, Iglesias JE, Yendiki A, Augustinack JC, Salat DH, Fischl B. COMPENSATORY BRAIN CONNECTION DISCOVERY IN ALZHEIMER'S DISEASE. Proc IEEE Int Symp Biomed Imaging. 2020 Apr; 2020:283-287. PMID: 32587665.
    Citations:    
  7. Morales MA, Izquierdo-Garcia D, Aganj I, Kalpathy-Cramer J, Rosen BR, Catana C. Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network. Radiol Artif Intell. 2019 Jul 17; 1(4):e180080. PMID: 32076659.
    Citations: 1     
  8. Aganj I, Fischl B. Expected Label Value Computation for Atlas-Based Image Segmentation. Proc IEEE Int Symp Biomed Imaging. 2019 Apr; 2019:334-338. PMID: 31341547.
    Citations:    
  9. Frau-Pascual A, Fogarty M, Fischl B, Yendiki A, Aganj I. Quantification of structural brain connectivity via a conductance model. Neuroimage. 2019 04 01; 189:485-496. PMID: 30677502.
    Citations: 2     Fields:    Translation:Humans
  10. Aganj I. Automatic Verification of the Gradient Table in Diffusion-Weighted MRI Based on Fiber Continuity. Sci Rep. 2018 11 08; 8(1):16541. PMID: 30410013.
    Citations:    Fields:    Translation:Humans
  11. Aganj I, Harisinghani MG, Weissleder R, Fischl B. Unsupervised Medical Image Segmentation Based on the Local Center of Mass. Sci Rep. 2018 08 29; 8(1):13012. PMID: 30158534.
    Citations: 6     Fields:    Translation:Humans
  12. Lee WJ, Han CE, Aganj I, Seo SW, Seong JK. Distinct Patterns of Rich Club Organization in Alzheimer's Disease and Subcortical Vascular Dementia: A White Matter Network Study. J Alzheimers Dis. 2018; 63(3):977-987. PMID: 29710719.
    Citations: 2     Fields:    Translation:Humans
  13. Wang H, Magnain C, Wang R, Dubb J, Varjabedian A, Tirrell LS, Stevens A, Augustinack JC, Konukoglu E, Aganj I, Frosch MP, Schmahmann JD, Fischl B, Boas DA. as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity. Neuroimage. 2018 01 15; 165:56-68. PMID: 29017866.
    Citations: 7     Fields:    Translation:Humans
  14. Aganj I, Fischl B. Multimodal Image Registration through Simultaneous Segmentation. IEEE Signal Process Lett. 2017 Nov; 24(11):1661-1665. PMID: 29151777.
    Citations:    
  15. Tong T, Aganj I, Ge T, Polimeni JR, Fischl B. Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration. Neuroimage. 2017 09; 158:346-355. PMID: 28716714.
    Citations: 10     Fields:    Translation:Humans
  16. Koley S, Chakraborty C, Mainero C, Fischl B, Aganj I. A Fast Approach to Automatic Detection of Brain Lesions. Brainlesion. 2016; 10154:52-61. PMID: 29082383.
    Citations:    
  17. Zhang Y, Aganj I, van der Kouwe AJW, Tisdall MD. Accurate High-speed 3D-Registration of EPI vNavs for Head Motion Correction. Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson Med Sci Meet Exhib. 2017 Apr; 25:3944. PMID: 29643747.
    Citations:    
  18. Aganj I, Iglesias JE, Reuter M, Sabuncu MR, Fischl B. Mid-space-independent deformable image registration. Neuroimage. 2017 05 15; 152:158-170. PMID: 28242316.
    Citations: 3     Fields:    Translation:Humans
  19. Zhang Y, Aganj I, van der Kouwe AJ, Tisdall MD. Effects of Resolution and Registration Algorithm on the Accuracy of EPI vNavs for Real Time Head Motion Correction in MRI. Conf Comput Vis Pattern Recognit Workshops. 2016 Jun-Jul; 2016:583-591. PMID: 28396821.
    Citations: 2     
  20. Gholipour A, Afacan O, Aganj I, Scherrer B, Prabhu SP, Sahin M, Warfield SK. Super-resolution reconstruction in frequency, image, and wavelet domains to reduce through-plane partial voluming in MRI. Med Phys. 2015 Dec; 42(12):6919-32. PMID: 26632048.
    Citations: 5     Fields:    Translation:Humans
  21. Aganj I, Iglesias JE, Reuter M, Sabuncu MR, Fischl B. Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration. Med Image Comput Comput Assist Interv. 2015 Oct; 9350:263-271. PMID: 26835520.
    Citations:    Fields:    
  22. Gaglia JL, Harisinghani M, Aganj I, Wojtkiewicz GR, Hedgire S, Benoist C, Mathis D, Weissleder R. Noninvasive mapping of pancreatic inflammation in recent-onset type-1 diabetes patients. Proc Natl Acad Sci U S A. 2015 Feb 17; 112(7):2139-44. PMID: 25650428.
    Citations: 54     Fields:    Translation:Humans
  23. Iglesias JE, Sabuncu MR, Aganj I, Bhatt P, Casillas C, Salat D, Boxer A, Fischl B, Van Leemput K. An algorithm for optimal fusion of atlases with different labeling protocols. Neuroimage. 2015 Feb 01; 106:451-63. PMID: 25463466.
    Citations: 4     Fields:    Translation:Humans
  24. Aganj I, Reuter M, Sabuncu MR, Fischl B. Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint. Neuroimage. 2015 Feb 01; 106:238-51. PMID: 25449738.
    Citations: 4     Fields:    Translation:Humans
  25. Prasad G, Joshi SH, Jahanshad N, Villalon-Reina J, Aganj I, Lenglet C, Sapiro G, McMahon KL, de Zubicaray GI, Martin NG, Wright MJ, Toga AW, Thompson PM. Automatic clustering and population analysis of white matter tracts using maximum density paths. Neuroimage. 2014 Aug 15; 97:284-95. PMID: 24747738.
    Citations: 10     Fields:    Translation:HumansCells
  26. Aganj I, Reuter M, Sabuncu MR, Fischl B. SYMMETRIC NON-RIGID IMAGE REGISTRATION VIA AN ADAPTIVE QUASI-VOLUME-PRESERVING CONSTRAINT. Proc IEEE Int Symp Biomed Imaging. 2013 Apr; 2013:230-233. PMID: 25750693.
    Citations: 3     
  27. Caruyer E, Aganj I, Lenglet C, Sapiro G, Deriche R. Motion Detection in Diffusion MRI via Online ODF Estimation. Int J Biomed Imaging. 2013; 2013:849363. PMID: 23509445.
    Citations: 3     
  28. Aganj I, Yeo BT, Sabuncu MR, Fischl B. On removing interpolation and resampling artifacts in rigid image registration. IEEE Trans Image Process. 2013 Feb; 22(2):816-27. PMID: 23076044.
    Citations: 7     Fields:    Translation:Humans
  29. Aganj I, Lenglet C, Yacoub E, Sapiro G, Harel N. A 3D wavelet fusion approach for the reconstruction of isotropic-resolution MR images from orthogonal anisotropic-resolution scans. Magn Reson Med. 2012 Apr; 67(4):1167-72. PMID: 21761448.
    Citations: 7     Fields:    Translation:Humans
  30. Prasad G, Jahanshad N, Aganj I, Lenglet C, Sapiro G, Toga AW, Thompson PM. ATLAS-BASED FIBER CLUSTERING FOR MULTI-SUBJECT ANALYSIS OF HIGH ANGULAR RESOLUTION DIFFUSION IMAGING TRACTOGRAPHY. Proc IEEE Int Symp Biomed Imaging. 2011 Apr; 2011:276-280. PMID: 25404992.
    Citations: 8     
  31. Aganj I, Lenglet C, Jahanshad N, Yacoub E, Harel N, Thompson PM, Sapiro G. A Hough transform global probabilistic approach to multiple-subject diffusion MRI tractography. Med Image Anal. 2011 Aug; 15(4):414-25. PMID: 21376655.
    Citations: 56     Fields:    Translation:HumansAnimalsCells
  32. Aganj I, Lenglet C, Sapiro G, Yacoub E, Ugurbil K, Harel N. Reconstruction of the orientation distribution function in single- and multiple-shell q-ball imaging within constant solid angle. Magn Reson Med. 2010 Aug; 64(2):554-66. PMID: 20535807.
    Citations: 112     Fields:    Translation:HumansCells
  33. Aganj I, Lenglet C, Sapiro G. ODF maxima extraction in spherical harmonic representation via analytical search space reduction. Med Image Comput Comput Assist Interv. 2010; 13(Pt 2):84-91. PMID: 20879302.
    Citations: 4     Fields:    Translation:Humans
  34. Aganj I, Sapiro G, Parikshak N, Madsen SK, Thompson PM. Measurement of cortical thickness from MRI by minimum line integrals on soft-classified tissue. Hum Brain Mapp. 2009 Oct; 30(10):3188-99. PMID: 19219850.
    Citations: 21     Fields:    Translation:Humans
  35. Aganj I, Lenglet C, Sapiro G. ODF RECONSTRUCTION IN Q-BALL IMAGING WITH SOLID ANGLE CONSIDERATION. Proc IEEE Int Symp Biomed Imaging. 2009 Jun-Jul; 2009:1398-1401. PMID: 25789084.
    Citations: 10     
  36. Aganj I, Lenglet C, Sapiro G, Yacoub E, Ugurbil K, Harel N. Multiple Q-shell ODF reconstruction in Q-ball imaging. Med Image Comput Comput Assist Interv. 2009; 12(Pt 2):423-31. PMID: 20426140.
    Citations: 7     Fields:    Translation:Humans
  37. Aganj I, Sapiro G, Parikshak N, Madsen SK, Thompson PM. SEGMENTATION-FREE MEASURING OF CORTICAL THICKNESS FROM MRI. Proc IEEE Int Symp Biomed Imaging. 2008 May; 2008:1625-1628. PMID: 25741407.
    Citations: 2     
  38. Narasimha R, Aganj I, Bennett AE, Borgnia MJ, Zabransky D, Sapiro G, McLaughlin SW, Milne JL, Subramaniam S. Evaluation of denoising algorithms for biological electron tomography. J Struct Biol. 2008 Oct; 164(1):7-17. PMID: 18585059.
    Citations: 8     Fields:    Translation:HumansAnimalsCells
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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.