Skip to main content
menu

Uddin Lab banner image with brain

Uddin Lab

Welcome to the Uddin Lab

Our research interests lie at the fascinating intersection of MRI physics and neuroscience. Our vision is to transform MRI technology and methodologies to enhance the diagnosis, monitoring, and treatment of various medical conditions. We strive to push the boundaries of what's possible in medical imaging, providing deeper insights into the anatomy and physiology of the brain.

  • Developing Advanced MRI Methods: We focus on creating cutting-edge MRI techniques and image processing pipelines to improve the accuracy of brain imaging.
  • Unraveling Neuroinflammation and Neurodegeneration: Using diffusion MRI methods and T2-based myelin water imaging, we aim to enhance diagnostic and therapeutic approaches for neuroinflammatory and neurodegenerative diseases.
  • Investigating Iron-Sensitive Biomarkers: Through quantitative susceptibility mapping and relaxometry mappings, we identify iron-sensitive measures that could serve as promising biomarkers for neurodegenerative processes in the brain.
  • Probing Vascular Dysfunction: Utilizing advanced MRI techniques such as perfusion MRI and resting-state fMRI-based cerebrovascular reactivity, we explore vascular dysfunction. We are also developing an automated AI-based approach for segmenting and classifying brain arteries using time-of-flight MR Angiography, aiming to extract essential vascular features.
  • Exploring Brain-Cognition Relationships: We study the relationship between structural and functional MRI measures, blood markers, and cognitive performance in diverse populations, including healthy individuals, aging populations, and those affected by neurological conditions.

Our studies encompass diverse populations, ranging from healthy individuals to aging individuals and those affected by neurological conditions such as HIV, COVID-19, CSVD, and Multiple Sclerosis.

Md Nasir Uddin, Ph.D.

Md Nasir Uddin, Ph.D.
Principal Investigator

Publications

    1. Parker KJ
    2. Kabir IE
    3. Doyley MM
    4. Faiyaz A
    5. Uddin MN
    6. Flores G
    7. Schifitto G
    Brain elastography in aging relates to fluid/solid trendlines.; Physics in medicine and biology; Vol 69(11). 2024 May 29.
    1. Carter SL
    2. Patel R
    3. Fisk JD
    4. Figley CR
    5. Marrie RA
    6. Mazerolle EL
    7. Uddin MN
    8. Wong K
    9. Graff LA
    10. Bolton JA
    11. Marriott JJ
    Differences in resting state functional connectivity relative to multiple sclerosis and impaired information processing speed; Frontiers in Neurology; Vol 14. 2023 Jan 01.
    1. Patel R
    2. Marrie RA
    3. Bernstein CN
    4. Bolton JM
    5. Graff LA
    6. Marriott JJ
    7. Figley CR
    8. Kornelsen J
    9. Mazerolle EL
    10. Helmick C
    11. Uddin MN
    12. Fisk JD
    Vascular Disease Is Associated With Differences in Brain Structure and Lower Cognitive Functioning in Inflammatory Bowel Disease: A Cross-Sectional Study.; Inflammatory bowel diseases. 2023 Sep 22.
    1. Singh M
    2. Uddin MN
    3. Singh VB
    4. Peterson AN
    5. Murray KD
    6. Zhuang Y
    7. Tyrell A
    8. Wang L
    9. Tivarus ME
    10. Zhong J
    11. Qiu X
    12. Schifitto G
    Initiation of combined antiretroviral therapy confers suboptimal beneficial effects on neurovascular function in people with HIV; Frontiers in Neurology; Vol 14. 2023 Jan 01.
    1. Aja-Fernández S
    2. Martín-Martín C
    3. Planchuelo-Gómez Á
    4. Faiyaz A
    5. Uddin MN
    6. Schifitto G
    7. Tiwari A
    8. Shigwan SJ
    9. Kumar Singh R
    10. Zheng T
    11. Cao Z
    12. Wu D
    13. Blumberg SB
    14. Sen S
    15. Goodwin-Allcock T
    16. Slator PJ
    17. Yigit Avci M
    18. Li Z
    19. Bilgic B
    20. Tian Q
    21. Wang X
    22. Tang Z
    23. Cabezas M
    24. Rauland A
    25. Merhof D
    26. Manzano Maria R
    27. Campos VP
    28. Santini T
    29. da Costa Vieira MA
    30. HashemizadehKolowri S
    31. DiBella E
    32. Peng C
    33. Shen Z
    34. Chen Z
    35. Ullah I
    36. Mani M
    37. Abdolmotalleby H
    38. Eckstrom S
    39. Baete SH
    40. Filipiak P
    41. Dong T
    42. Fan Q
    43. de Luis-García R
    44. Tristán-Vega A
    45. Pieciak T
    Validation of deep learning techniques for quality augmentation in diffusion MRI for clinical studies.; NeuroImage. Clinical; Vol 39, pp. 103483. 2023 Jul 28.

View All Publications

Contact

  Uddin Lab
MC 5-7425
601 Elmwood Ave,
Rochester, NY 14642

 (585) 275-8102