Jeff H. Duyn, Ph.D.

Senior Investigator

Advanced MRI Section


Building 10, Room B1D724
10 Center Drive
Bethesda, MD 20814


Research Topics

In addition to providing structural information, MRI has the potential to non-invasively map physiologic parameters and function. Our research focuses on optimally exploiting this potential by investigating the mechanisms behind MRI contrast, exploring avenues to manipulate the contrast, and optimizing MRI data acquisition and analysis to achieve optimum sensitivity, resolution, reliability, and accuracy. Specific aims are the development of MRI techniques for the measurements of structural anatomy, tissue metabolism, tissue perfusion, and the spatial distribution of brain activity. Recent work has focused on high field MRI technology, the magnetic properties of brain tissue, and the study of spontaneous brain activity.

Website of the Advanced MRI section of LFMI:
Website of the Laboratory of Functional and Molecular Imaging:


Dr. Duyn received his M.Sc. and Ph.D. degrees in physics at the University of Delft, Holland where he was involved with the development of X-ray diffraction techniques, as well as the early development of magnetic resonance imaging (MRI). During his postdoctoral assignments at the University of California, San Francisco, and at NIH, his research focused on the study of human brain physiology, as measured by spectroscopic and functional MRI techniques. Dr. Duyn moved to NINDS in 2000.

Selected Publications

  1. Özbay PS, Chang C, Picchioni D, Mandelkow H, Chappel-Farley MG, van Gelderen P, de Zwart JA, Duyn J. Sympathetic activity contributes to the fMRI signal. Commun Biol. 2019;2:421.

  2. Turchi J, Chang C, Ye FQ, Russ BE, Yu DK, Cortes CR, Monosov IE, Duyn JH, Leopold DA. The Basal Forebrain Regulates Global Resting-State fMRI Fluctuations. Neuron. 2018;97(4):940-952.e4.

  3. Özbay PS, Chang C, Picchioni D, Mandelkow H, Moehlman TM, Chappel-Farley MG, van Gelderen P, de Zwart JA, Duyn JH. Contribution of systemic vascular effects to fMRI activity in white matter. Neuroimage. 2018;176:541-549.

  4. van Gelderen P, Duyn JH. White matter intercompartmental water exchange rates determined from detailed modeling of the myelin sheath. Magn Reson Med. 2019;81(1):628-638.

  5. Liu X, de Zwart JA, Schölvinck ML, Chang C, Ye FQ, Leopold DA, Duyn JH. Subcortical evidence for a contribution of arousal to fMRI studies of brain activity. Nat Commun. 2018;9(1):395.

This page was last updated on August 26th, 2021