Curriculum vitae

Cecil Chern-Chyi Yen

PhD, MS

Staff Scientist and Facility Manager, Neurophysiology Imaging Facility, National Institute of Mental Health, NIH

Professional profiles & contact

Functional MRI | cortical microcirculation | translational neuroscience

Cecil Chern-Chyi Yen is an NIH staff scientist and imaging facility manager specializing in preclinical MRI/fMRI, awake marmoset neuroimaging, cortical microcirculation, multimodal imaging, and translational neuroscience. His work combines high-field imaging methods with facility leadership to support reproducible acquisition, analysis, and collaborative biomedical research.

Research & leadership

Research contributions

  • Awake marmoset fMRI: Functional mapping, large-scale brain networks, and open functional-connectivity resources.
  • Brain atlases and connectomics: Multimodal templates, white-matter pathways, and integrated structural and functional connectivity.
  • Cortical physiology: Laminar fMRI, cortical microcirculation, and the spatial and temporal characteristics of hemodynamic responses.
  • High-field MRI methods: Radiofrequency coil arrays, pulse-sequence development, and acquisition optimization for preclinical imaging.
  • Translational neuroimaging: MRI and PET approaches for studying demyelination, remyelination, and neurological disease models.

Facility leadership

  • Platform stewardship: Coordinate high-field MRI and complementary PET/CT, CT, optical, and two-photon imaging capabilities.
  • Study support: Consult on experimental setup, imaging protocols, acquisition strategy, and image-analysis workflows.
  • Methods development: Optimize pulse sequences, conversion pipelines, analysis tools, and imaging support hardware.
  • Training and reproducibility: Support researchers with practical platform training, documented workflows, and consistent data handling.

Imaging focus

  • High-field Bruker and Varian MRI platforms for preclinical imaging.
  • Functional, structural, diffusion, PET/CT, CT, optical, and two-photon imaging workflows.
  • Animal models spanning marmosets, mice, rats, pigs, and cats.

Methods & analysis

  • Pulse-sequence programming, Bash, Python, and MATLAB.
  • DICOM/NIfTI conversion and analysis with AFNI, FSL, SPM, ImageJ, MIPAV, ITK-SNAP, and MRICro.
  • 3D modeling and 3D printing workflows for imaging support hardware.

Professional background

Experience

2019-present
Staff Scientist / Facility Manager

Neurophysiology Imaging Facility, NIMH, National Institutes of Health

2016-2019
Research Fellow / MRI Physicist

Cerebral Microcirculation Section, LFMI, NINDS, National Institutes of Health

2011-2016
Postdoctoral Fellow

Cerebral Microcirculation Section, LFMI, NINDS, National Institutes of Health

2005-2011
Graduate Student Researcher

Neuroimaging Laboratory, Department of Neurology, University of Pittsburgh Medical Center

2004-2005
Research Assistant

Functional and Micro-Magnetic Resonance Imaging Center, Academia Sinica

2002-2003
Graduate Student Researcher

Magnetic Resonance Research Center, Department of Radiology, University of Pittsburgh Medical Center

1998-1999
Undergraduate Research Assistant

Laser Spectroscopy Laboratory, Department of Physics, National Tsing-Hua University

Education

2011-2016
Postdoctoral Training, Cerebral Microcirculation Section, LFMI, NINDS

National Institutes of Health, Bethesda, MD, USA

2005-2011
Ph.D., Bioengineering, Biosignals and Imaging Track

University of Pittsburgh, Pittsburgh, PA, USA

2001-2003
M.S., Electrical Engineering

University of Pittsburgh, Pittsburgh, PA, USA

1995-1999
B.S., Physics

National Tsing-Hua University, Hsin-Chu, Taiwan

Awards

2010
ISMRM Student Stipend Award

International Society for Magnetic Resonance in Medicine, Stockholm, Sweden

2009
ISMRM Student Stipend Award

International Society for Magnetic Resonance in Medicine, Honolulu, USA

2004
Chinese Studies Tuition Remission Scholarship

Asian Studies Center, University of Pittsburgh

2003
ISMRM Student Stipend Award

International Society for Magnetic Resonance in Medicine, Toronto, Canada

Professional memberships

  • International Society for Magnetic Resonance in Medicine (ISMRM)
  • Society for Neuroscience (SfN)
  • North America Taiwanese Professors' Association (NATPA)

Research & technical skills

In vivo imaging modalities
Bruker MRI (4.7T/40cm, 7T/30cm, vertical 9.4T/9cm, vertical 14T/9cm), Varian MRI (9.4T/31cm), GE MRI, Bruker CT, Inveon PET/CT, Zeiss Two-photon microscope, Intrinsic optical Imaging (in cat visual cortex)
Programming languages
Pulse sequence programming of Varian and Bruker (ParaVision Programming Course), Bash shell script, Python, Matlab
Imaging processing
Orthanc DICOM Server, NIfTI Converters, FSL, AFNI, SPM, ImageJ, MRICro, MIPAV, ITKSnap, Rhinoceros3D (3D modeling), Cura (3D printing)
Animal models
Cardiac functions of pigs, Visual system of cats, Brain functions of marmosets, Stroke and drug addiction in rats, Genetic models of mice and marmosets

These capabilities support NIH preclinical imaging workflows, including animal-model study setup, MRI/fMRI acquisition, image conversion, processing, analysis, visualization, and reproducible imaging data handling.

Talks & training

Seminars & lectures

2017
Oral Presentation, Title: Investigating the Cerebral Cortical Hemodynamic Regulation in Awake Marmosets

Advances in Functional Studies of Marmoset Brain, Melbourne, Australia

2017
Institutional lecture, Title: Anatomical and Functional Neuroimaging in Animal Models

NIH fMRI Summer Course, Bethesda, USA

2015
Oral Presentation, Title: Investigating the Spatiotemporal Characteristics of the BOLD and the Non-BOLD Response Across Cortical Layers in Awake Marmosets

International Society for Cerebral Blood Flow & Metabolism, Vancouver, Canada

2014
Seminar at Magnet Resonance Center, Title: Cerebral Cortical Hemodynamic Regulation Investigated by Functional MRI

Max Planck Institute for Biological Cybernetics, Tubingen, Germany

2014
Seminar at Laboratory of Marmoset Neural Architecture, Title: Cerebral Cortical Hemodynamic Regulation Investigated by Functional MRI

RIKEN Brain Science Institute, Hirosawa Wako City, Japan

2014
Departmental seminar, Title: Advances in Functional and Structural MRI of the Brain

National Cheng Kung University, Tainan, Taiwan

2013
Educational Course in Brain Conference, Title: Advances in Functional and Structural MRI of the Brain

International Society for Cerebral Blood Flow and Metabolism, Shanghai, China

2013
Seminar at Hoglund Brain Imaging Center, Title: Brain Function and Cortical Microcirculation Investigated by Translational MRI

University of Kansas Medical Center, Kansas City, USA

2011
Seminar at Magnetic Resonance Research Center, Title: Areal and Laminar fMRI Studies of the Early Visual System: Dependence on Temporal Frequency of Stimulus

Yale University, New Haven, USA

Training & workshops

2017
Python for MATLAB Users and Python in HPC

National Institutes of Health, Bethesda, MD

2015
Computational neuroimaging workshops: MIPAV, Tortoise

National Institutes of Health, Bethesda, MD

2015
Grant Writing Workshops

National Institutes of Health, Bethesda, MD

2014
Industry and Academic Careers Workshop Series

National Institutes of Health, Bethesda, MD

2013
Leadership, Management, and Mentoring Workshop Series

National Institutes of Health, Bethesda, MD

2012
AFNI Bootcamp

National Institutes of Health, Bethesda, MD

2012
Scientific Writing Workshops

National Institutes of Health, Bethesda, MD

2011
ParaVision Programming Course

Bruker Corporation, Billerica, MA

2010
ISMRM Educational Courses

International Society for Magnetic Resonance in Medicine, Stockholm, Sweden

2010
Topical Multimodal Neuroimaging Symposium: Visual Cognition and Computation

Multimodal Neuroimaging Training Program, Pittsburgh, USA

2009
Topical Multimodal Neuroimaging Symposium: Decision Making

Multimodal Neuroimaging Training Program, Pittsburgh, USA

2009
ISMRM Educational Courses

International Society for Magnetic Resonance in Medicine, Honolulu, USA

2008
Topical Multimodal Neuroimaging Symposium: Brain Development

Multimodal Neuroimaging Training Program, Pittsburgh, USA

2007
Topical Multimodal Neuroimaging Symposium: Alzheimer's Disease

Multimodal Neuroimaging Training Program, Pittsburgh, USA

2006
Varian (Agilent) On-site Training

Neuroimaging Laboratory, Pittsburgh, USA

2003
ISMRM Educational Courses

International Society for Magnetic Resonance in Medicine, Toronto, Canada

Mentorship & service

Mentorship

  • 2012-2014 Jennifer Lynn Ciuchta, Postbaccalaureate Student, NIH, USA; Current: Physician at Mount Sinai Health System
  • 2012-2017 Camille Rose Toarmino, Intern PhD Student, UC San Diego, USA; Current: Data Scientist at SpotHero
  • 2014-2015 Lucia Diane Notardonato, Postbaccalaureate Student, NIH, USA; Current: Oncology Fellow at University of Illinois Hospital
  • 2015-2017 Wen-Yang Chiang, PhD Student, Texas A&M University, USA; Current: Senior Electrical Engineer at Eyas Medical Imaging
  • 2017 Chia-Chu Chou, Intern PhD Student, University of Maryland, USA; Current: Software Engineer at Ambarella

Professional service

2023-2024
Communication officer

NINDS Staff Scientist and Clinician Association

2022-present
Institutional representative

NIH Staff Scientist Organization

2020-2023
Member

Neurophysiology Imaging Facility steering committee

2014-present
Reviewer

NMR in Biomedicine, NeuroImage, Journal of Neuroscience Methods, ISMRM, Frontiers in Neuroscience, Nature Protocols, Journal of Alzheimer's Disease, Scientific Reports, Heliyon

2011, 2012
Poster Judge, Postbac Poster Day

National Institutes of Health, Bethesda, MD, USA

2011-present
Committee Member

NIH Taiwanese Association

2002-2004
Web Master, University Chinese Club of Pittsburgh

University of Pittsburgh, Pittsburgh, PA, USA

1998-1999
Treasurer, Tsing-Hua Educational Broadcast Station

National Tsing-Hua University, Hsin-Chu, Taiwan

1997-1998
Student Manager, Movie Service of Student Affairs

National Tsing-Hua University, Hsin-Chu, Taiwan

1996, 1997
Instructor, Physics Summer Camp for High School Students

National Tsing-Hua University, Hsin-Chu, Taiwan

Teaching & military experience

2007
Teaching Assistant, BioInstrument

Department of Bioengineering, University of Pittsburgh

2006
Teaching Assistant, Linear Systems and Electronics

Department of Bioengineering, University of Pittsburgh

1999-2001
Second Lieutenant, Forward Observation Officer

Republic of China Army, Tao-Yuan, Taiwan

Selected publications

31 papers8 conference abstracts

Google Scholar

Peer-reviewed publications

  1. Figure 1 from Nagarajan (2025)
    Figure 1

    Nagarajan, G., et al., Cingulate cortex shapes early postnatal development of social vocalizations. Elife, 2025. 13: p. RP97125.

    doi:10.7554/eLife.97125
  2. No thumbnail

    Drazan, T.M., et al., Neurobiology of pregnancy and the postpartum period in the common marmoset. Psychoneuroendocrinology, 2023. 153: p. 106208.

    doi:10.1016/j.psyneuen.2023.106208
  3. No thumbnail

    Saleem, K.S., et al., Multimodal anatomical mapping of subcortical regions in marmoset monkeys using high-resolution MRI and matched histology with multiple stains. Neuroimage, 2023. 281: p. 120311.

    doi:10.1016/j.neuroimage.2023.120311
  4. Figure 1 from Donadieu (2023)
    Figure 1

    Donadieu, M., et al., In vivo MRI is sensitive to remyelination in a nonhuman primate model of multiple sclerosis. Elife, 2023. 12.

    doi:10.7554/eLife.73786
  5. Figure 1 from Tian (2022)
    Figure 1

    Tian, X., et al., An integrated resource for functional and structural connectivity of the marmoset brain. Nature Communications, 2022. 13(1): p. 7416.

    doi:10.1038/s41467-022-35197-2
  6. Figure 1 from Schaeffer (2022)
    Figure 1

    Schaeffer, D.J., et al., An open access resource for functional brain connectivity from fully awake marmosets. NeuroImage, 2022. 252: p. 119030.

    doi:10.1016/j.neuroimage.2022.119030
  7. No thumbnail

    Avram, A.V., et al., High-resolution cortical MAP-MRI reveals areal borders and laminar substructures observed with histological staining. NeuroImage, 2022. 264: p. 119653.

    doi:10.1016/j.neuroimage.2022.119653
  8. Figure 1 from Saleem (2021)
    Figure 1

    Saleem, K.S., et al., High-resolution mapping and digital atlas of subcortical regions in the macaque monkey based on matched MAP-MRI and histology. Neuroimage, 2021. 245: p. 118759.

    doi:10.1016/j.neuroimage.2021.118759
  9. Figure 1 from Liu (2021)
    Figure 1

    Liu, C., et al., Marmoset Brain Mapping V3: Population multi-modal standard volumetric and surface-based templates. Neuroimage, 2021. 226: p. 117620.

    doi:10.1016/j.neuroimage.2020.117620
  10. Figure 1 from Donadieu (2021)
    Figure 1

    Donadieu, M., et al., Ultrahigh-resolution MRI reveals extensive cortical demyelination in a nonhuman primate model of multiple sclerosis. Cerebral Cortex, 2021. 31(1): p. 439-447.

    doi:10.1093/cercor/bhaa235
  11. Figure 3 from Szczupak (2020)
    Figure 3

    Szczupak, D., et al., Dynamic interhemispheric desynchronization in marmosets and humans with disorders of the corpus callosum. Frontiers in Neural Circuits, 2020. 14: p. 612595.

    doi:10.3389/fncir.2020.612595
  12. Figure 1 from Szczupak (2020)
    Figure 1

    Szczupak, D., et al., Long-distance aberrant heterotopic connectivity in a mouse strain with a high incidence of callosal anomalies. NeuroImage, 2020. 217: p. 116875.

    doi:10.1016/j.neuroimage.2020.116875
  13. Figure 1 from Liu (2020)
    Figure 1

    Liu, C., et al., A resource for the detailed 3D mapping of white matter pathways in the marmoset brain. Nature neuroscience, 2020. 23(2): p. 271-280.

    doi:10.1038/s41593-019-0575-0
  14. Figure 1 from Liu (2019)
    Figure 1

    Liu, C., et al., Anatomical and functional investigation of the marmoset default mode network. Nature communications, 2019. 10(1): p. 1975.

    doi:10.1038/s41467-019-09813-7
  15. Figure 1 from Lee (2019)
    Figure 1

    Lee, N.J., et al., Potential role of iron in repair of inflammatory demyelinating lesions. The Journal of clinical investigation, 2019. 129(10): p. 4365-4376.

    doi:10.1172/JCI126809
  16. Figure 1 from Yen (2018)
    Figure 1

    Yen, C.C.-C., D. Papoti, and A.C. Silva, Investigating the spatiotemporal characteristics of the deoxyhemoglobin-related and deoxyhemoglobin-unrelated functional hemodynamic response across cortical layers in awake marmosets. Neuroimage, 2018. 164: p. 121-130.

    doi:10.1016/j.neuroimage.2017.03.005
  17. Figure from Liu (2018)
    Figure

    Liu, C., et al., A digital 3D atlas of the marmoset brain based on multi-modal MRI. Neuroimage, 2018. 169: p. 106-116.

    doi:10.1016/j.neuroimage.2017.12.004
  18. Figure 1 from Leibovitch (2018)
    Figure 1

    Leibovitch, E.C., et al., Herpesvirus trigger accelerates neuroinflammation in a nonhuman primate model of multiple sclerosis. Proceedings of the National Academy of Sciences of the United States of America, 2018. 115(44): p. 11292-11297.

    doi:10.1073/pnas.1811974115
  19. Figure from Hirano (2018)
    Figure

    Hirano, Y., et al., Investigation of the BOLD and CBV fMRI responses to somatosensory stimulation in awake marmosets (Callithrix jacchus). Nmr in Biomedicine, 2018. 31(3).

    doi:10.1002/nbm.3864
  20. Figure 1 from Choi (2018)
    Figure 1

    Choi, S.H., et al., Neuroprotective Effects of MAGL (Monoacylglycerol Lipase) Inhibitors in Experimental Ischemic Stroke. Stroke, 2018.

    doi:10.1161/STROKEAHA.117.019664
  21. Figure 1 from Toarmino (2017)
    Figure 1

    Toarmino, C.R., et al., Functional magnetic resonance imaging of auditory cortical fields in awake marmosets. Neuroimage, 2017. 162: p. 86-92.

    doi:10.1016/j.neuroimage.2017.08.052
  22. Figure 1 from Papoti (2017)
    Figure 1

    Papoti, D., et al., Design and implementation of embedded 8‐channel receive‐only arrays for whole‐brain MRI and fMRI of conscious awake marmosets. Magnetic resonance in medicine, 2017. 78(1): p. 387-398.

    doi:10.1002/mrm.26339
  23. Figure 1 from Belcher (2016)
    Figure 1

    Belcher, A.M., et al., Functional Connectivity Hubs and Networks in the Awake Marmoset Brain. Frontiers in Integrative Neuroscience, 2016. 10.

    doi:10.3389/fnint.2016.00009
  24. Figure from Hung (2015)
    Figure

    Hung, C.C., et al., Functional MRI of visual responses in the awake, behaving marmoset. Neuroimage, 2015. 120: p. 1-11.

    doi:10.1016/j.neuroimage.2015.06.090
  25. Figure 1 from Hung (2015)
    Figure 1

    Hung, C.-C., et al., Functional Mapping of Face-Selective Regions in the Extrastriate Visual Cortex of the Marmoset. Journal of Neuroscience, 2015. 35(3): p. 1160-1172.

    doi:10.1523/JNEUROSCI.2659-14.2015
  26. Figure 1 from Papoti (2013)
    Figure 1

    Papoti, D., et al., An embedded four‐channel receive‐only RF coil array for fMRI experiments of the somatosensory pathway in conscious awake marmosets. NMR in Biomedicine, 2013. 26(11): p. 1395-1402.

    doi:10.1002/nbm.2965
  27. Figure 1 from Belcher (2013)
    Figure 1

    Belcher, A.M., et al., Large-Scale Brain Networks in the Awake, Truly Resting Marmoset Monkey. Journal of Neuroscience, 2013. 33(42): p. 16796-16804.

    doi:10.1523/JNEUROSCI.3146-13.2013
  28. Figure 1 from Yen (2011)
    Figure 1

    Yen, C.C.-C., M. Fukuda, and S.-G. Kim, BOLD responses to different temporal frequency stimuli in the lateral geniculate nucleus and visual cortex: Insights into the neural basis of fMRI. Neuroimage, 2011. 58(1): p. 82-90.

    doi:10.1016/j.neuroimage.2011.06.022
  29. No thumbnail

    Hsu, Y.-H., et al., Neuronal dysfunction of a long projecting multisynaptic pathway in response to methamphetamine using manganese-enhanced MRI. Psychopharmacology, 2008. 196: p. 543-553.

    doi:10.1007/s00213-007-0990-x
  30. No thumbnail

    Hsu, J.T., et al. Application of wavelet-based POCS super-resolution for cardiovascular MRI image enhancement. in Third International Conference on Image and Graphics (ICIG'04). 2004. IEEE.

    doi:10.1109/ICIG.2004.38
  31. No thumbnail

    Wang, Y., et al., Quantitative evaluation of susceptibility and shielding effects of nitinol, platinum, cobalt-alloy, and stainless steel stents. Magn Reson Med, 2003. 49(5): p. 972-6.

    doi:10.1002/mrm.10450

Conference abstracts

  1. Donadieu, M., et al. Combined [18 F] 3-fluoro-4-aminopyridine PET and MRI as Surrogate of Demyelination in EAE Marmoset. in MULTIPLE SCLEROSIS JOURNAL. 2025. SAGE PUBLICATIONS LTD 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND.

  2. Donadieu, M., et al. Voxelwise Quantitative T1 to Study Demyelination and Remyelination in Marmoset EAE. in MULTIPLE SCLEROSIS JOURNAL. 2024. 30(1): p. 122-123.

  3. Donadieu, M., et al. In Vivo MRI to Detect Potential Remyelination in a Nonhuman Primate Model of Multiple Sclerosis. in MULTIPLE SCLEROSIS JOURNAL. 2023. 29: p. 131-131.

  4. Donadieu, M., et al. Ultra-high-resolution MRI to study onset and evolution of cortical lesions in nonhuman primate model of multiple sclerosis. in MULTIPLE SCLEROSIS JOURNAL. 2022. SAGE PUBLICATIONS LTD 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND.

  5. Sati, P., et al. Imaging spontaneous remyelination in a nonhuman primate model of MS. in MULTIPLE SCLEROSIS JOURNAL. 2019. SAGE PUBLICATIONS LTD 1 OLIVERS YARD, 55 CITY ROAD, LONDON EC1Y 1SP, ENGLAND.

  6. Yen, C., D. Papoti, and A. Silva, Investigating the Spatiotemporal Characteristics of the BOLD and the Non-BOLD Response Across Cortical Layers in Awake Marmosets. Journal of Cerebral Blood Flow and Metabolism, 2016. 36: p. 121-122.

  7. Leibovitch, E., et al., Herpesvirus trigger accelerates a neuroinflammatory demyelinating disease in a nonhuman primate model of multiple sclerosis. Journal of Neurovirology, 2016. 22: p. S42.

  8. Hung, C., et al., Neural responses to naturalistic movies in the common marmoset using electrocorticography and fMRI. Journal of vision, 2015. 15(12): p. 580.

    doi:10.1167/15.12.580