BrainMap: Probing circuit dynamics by cell type in mouse models of Alzheimer’s disease
2025-06-04 12:00 - 13:00 (America/New_York)
Speaker: Ksenia Kastanenka, PhD, MGB, HMS
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BrainMap: The complimentary roles of clinical investigation, neuroanatomy, and systems neuroscience in deciphering the role of the cerebellum; an homage to brain imaging
2025-06-09 12:00 - 13:00
Speaker: Prof. Jeremy Schmahman
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BrainMap: Brain on Fire: Imaging Oxidative and Inflammatory Damage
2025-06-18 12:00 - 13:00
Speaker: Dr. John Chen

Abstract:
Neuroinflammation plays a pivotal role in the pathophysiology of numerous central nervous system disorders. While traditionally viewed as a secondary process, inflammation is increasingly recognized as a dynamic, heterogeneous driver of disease progression and therapeutic response. This presentation will begin with a brief overview of the cellular and molecular underpinnings of neuroinflammation, including the roles of innate immune
cells such as microglia, neutrophils, and macrophages. We will highlight several imaging approaches used to visualize inflammatory processes in the brain. The central focus of the talk will be on myeloperoxidase (MPO), a pro-oxidative enzyme abundantly expressed by activated neutrophils and pro-inflammatory macrophages/microglia. MPO is not only a marker of inflammation but also a functional mediator of oxidative tissue injury. We will describe the development and application of MPO-targeted imaging agents, with an emphasis on the novel PET tracer ¹⁸F-MAPP, which can cross the blood-brain barrier and specifically detect MPO
activity in vivo. Data will be presented demonstrating how MPO imaging can map neuroinflammatory dynamics, distinguish immune phenotypes, and monitor treatment response. Finally, we will discuss translational efforts to bring MPO imaging into clinical use as a biomarker of oxidative stress and neuroinflammation.
Short bio:
John W. Chen, MD, PhD is a Neuroradiologist at Massachusetts General Hospital (MGH) and Associate Professor of Radiology at Harvard Medical School. He trained at MGH for both his diagnostic radiology residency and neuroradiology fellowship. He is the Co-Director of the MGH Institute for Innovation in Imaging, focused on the translation of novel imaging technologies. He also serves as the Director of Imaging Clinical Trials and Chair of the Technology Evaluation Committee in the Division of Neuroradiology at MGH. He is a Deputy Editor of Radiology Advances, a new open-access RSNA journal, and serves on the editorial boards of Scientific Reports and Cells. He serves on the Research Committee and the International Collaboration Committee at the American Society of Neuroradiology, as well as on study sections at the NIH and the Department of Defense. His research focuses on the development, application, and translation of novel molecular imaging agents to noninvasively report and better understand inflammation, especially for neurological and neurovascular diseases. He has published over 90 peer-reviewed scientific papers, including papers in Radiology, Science, PNAS, Nature Communications, and Nature Methods. His lab is funded by the NIH, National Multiple Sclerosis Society, Department of Defense, and industry.

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BrainMap: Molecular Probe Design for In Vivo Metabolic Imaging: From Click3D to Hyperpolarized MRI
2025-08-01 12:00 - 13:00
Speaker: Dr. Shinsuke Sando, PhD, University of Tokyo

Abstract: Peptides and proteins are metabolized in vivo by enzymes such as proteases and peptidases. Their metabolic profiles
are sequence-dependent and have been reported to correlate with disease states, making them promising candidates as disease
biomarkers. To visualize these disease-related metabolic processes, we have been developing novel imaging technologies.
By integrating tissue clearing techniques with click chemistry, we have recently established a method to visualize the
tissue-wide microenvironment and metabolic reactions using fluorescence [1,2]. In addition, by employing hyperpolarized MRI
technology, we have successfully visualized metabolic reactions with high sensitivity in vivo [3,4]. In particular, we have
focused on developing hyperpolarized MRI probes that target the metabolic activity of cancer-associated peptidases.
However, the number of metabolic enzymes suitable for disease diagnostics remains limited, which poses a challenge for the
broader application of these approaches. In this presentation, I will highlight our recent progress in in vivo metabolic imaging
and molecular probe design using tissue clearing and hyperpolarized MRI technologies, as well as our ongoing efforts to identify
novel peptide-based disease biomarkers.
[1] Bo Yi et al. “Imaging Heterogeneous Patterns of Aminopeptidase N Activity in Hierarchical Tissue Structures Through
High-resolution Whole-organ 3D Mapping” Angewamdte Chemie International Edition 2025, 66, e202504668.
[2] Iori Tamura et al. “Click3D: Click reaction across deep tissues for whole-organ 3D fluorescence imaging” Science Advances
2024, 10, eado8471.
[3] Yohei Kondo et al. “Directly monitoring the dynamic in vivo metabolisms of hyperpolarized 13C-oligopeptides” Science
Advances 2024, 10, eadp2533.
[4] Yutaro Saito et al. “Structure-guided design enables development of a hyperpolarized molecular probe for the detection of
aminopeptidase N activity in vivo” Science Advances 2022, 8, eabj2667.
Bio: Dr. Shinsuke Sando received his Ph.D. in 2001 from Kyoto University, Japan. Following a postdoctoral fellowship in the
laboratory of Prof. Eric T. Kool at Stanford University, he began his academic career as an assistant professor in the group of
Prof. Aoyama at Kyoto University. In 2009, he was appointed professor at the INAMORI Frontier Research Center, Kyushu
University. Since 2014, he has been a faculty member in the Department of Chemistry and Biotechnology at the University of
Tokyo. His research centers on chemical biology, with a particular emphasis on the design of functional biomolecules such as
peptides and fatty acids, as well as on bioimaging techniques to visualize their behavior in biological systems. Awards he has
obtained include The CSJ Award for Young Chemists (2009), The Young Scientists’ Prize in The Commendation for Science and
Technology by the Minister of Education, Culture, Sports, Science and Technology (2010), 14th Japan Academy Medal (2018), 14th
JSPS Prize (2018), Nakatani Award Incentive Prize (2019), and The Chemical Society of Japan Award for Creative Work (2022).

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BrainMap: Focus on the locus coeruleus to predict preclinical Alzheimer’s disease
2025-09-03 12:00 - 13:00
Speaker: Dr. Heidi Jacobs
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BrainMap: High-definition MRI: tailored encoding and reconstruction across scales and field strengths
2025-09-10 12:00 - 13:00
Speaker: Berkin Bilgic, Ph.D. – Associate Professor in Radiology, MGH/Harvard

Abstract:
MRI has demonstrated ability to provide exquisite contrast for non-invasive imaging. What limits its efficiency and sensitivity
are the tradeoffs between scan time, resolution, and signal-to-noise ratio (SNR). Our research is devoted to breaking this
stalemate by developing new acquisition and reconstruction methods that simultaneously exploit MR physics, signal processing,
deep learning, and hardware capabilities. We develop these technologies and pursue their applications to enable,
i. high-resolution neuroimaging at the mesoscale to examine structural and functional architecture of the human cortex in vivo,
ii. efficient quantitative imaging to map biophysical tissue parameters and probe tissue composition,
iii. open-source imaging for harmonization of data acquisition, reconstruction and analysis, and easier dissemination,
iv. rapid and motion-robust abdominal and fetal imaging, and
v. synergistic combination of self-supervised deep learning with physics-based image reconstruction.
The overarching goal in creating these techniques is to push the limits of spatial/temporal resolution and SNR of MRI to make it
a better neuroscientific and clinical tool and improve efficiency of MRI exams to make them more cost effective and more widely
used in the clinic.

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BrainMap: Multi-modal ex vivo imaging for computational modeling of peripheral nerve stimulation, block, and recording
2025-10-01 12:00 - 13:00
Speaker: Nicole Pelot, Ph.D. – Duke University
Bio: Dr. Nicole (“Nikki”) Pelot is a biomedical engineer at Duke University, conducting neural engineering research. Nikki leads a team working to advance neuromodulation of the autonomic nervous system, including anatomical & imaging studies, extensive development of computational methods for anatomically realistic models of nerve stimulation, optimization methods to develop improved therapies, and in vivo electrophysiology. In 2022, she won the Gold Electrode Award from Neurotech Reports, and in 2023, she won the inaugural Rising Star Award from the North American Neuromodulation Society (NANS). In addition to scientific excellence, she continually works to improve her academic project management and mentorship skills.
Abstract: Vagus nerve stimulation (VNS) is used clinically to treat epilepsy, depression, and stroke sequelae, and it is under investigation for many other applications. Computational modeling of neural stimulation, block, and recording enables analysis of mechanisms of action; design of electrode geometries and stimulation parameters to improve therapeutic responses and reduce side effects; translation of therapies from preclinical studies to clinical application; and systematic clinical programming of devices to account for inter-individual variability. Many modeling tools are computationally demanding and lack important anatomical realism. To address these challenges, we are conducting the most comprehensive mapping of the vagus nerve to date, from the perspectives of sample size, nerve length, imaging modalities, and image resolution. In parallel, we are building novel tools to model VNS that can leverage these multi-modal, multi-scale imaging data with improved computational efficiency. We are developing software for simulating three-dimensional nerve morphology and GPU-based fiber models. We are quantifying the effects of inter-individual anatomical variability and uncertainty in anatomical quantification from imaging data on activation thresholds, and we are using global optimization to design selective VNS for improved therapeutic efficacy and reduced side effects.

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BrainMap: X-Nuclei MR Spectroscopy of the Heart: Insights from 23Na, 31P, and 13C NMR
2025-10-08 12:00 - 13:00
Speaker: Ivan Luptak, MD, PhD, is an Associate Professor of Medicine at Boston University School of Medicine and a cardiologist at Boston Medical Center.
Bio: Ivan Luptak, MD, PhD, is an Associate Professor of Medicine at Boston University School of Medicine and a cardiologist at Boston Medical Center. His research focuses on cardiac energy metabolism, mitochondrial biology, and translational imaging approaches to hypertrophic cardiomyopathy and metabolic heart disease. His laboratory employs multi-nuclear MR spectroscopy (23Na, 31P, and 13C) in ex vivo Langendorff-perfused hearts, in vivo 31P NMR, and multi-omics analyses to define energetic dysfunction and test novel therapeutic interventions. He is PI of an NIH R01 on targeting energetics in HCM and maintains active collaborations with academic and industry partners, including recent work with the Martinos Center in hyperpolarized 13C imaging.
Abstract: Energetics and ion homeostasis are central to cardiac performance, but their direct measurement in intact tissue remains challenging. My laboratory uses multi-nuclear magnetic resonance spectroscopy — including 23Na, 31P, and non-hyperpolarized 13C — in isolated Langendorff-perfused hearts to probe energetic metabolism and substrate fluxes under stress and disease conditions. Over the past two decades, we have applied these approaches to define how mitochondrial dysfunction, impaired ATP production, and abnormal sodium handling contribute to diastolic dysfunction and impaired contractile reserve in models of hypertrophic cardiomyopathy (HCM) and metabolic heart disease. These tools have allowed us to dissect mechanisms such as oxidative inhibition of respiratory chain proteins, altered sarcomeric power efficiency, and the interplay between sodium
loading and mitochondrial energetics.

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BrainMap: Total-Body PET Across Scales and Systems
2025-10-09 11:00 - 12:00
Speaker: Kevin J. Chung, PhD, American Heart Association (AHA) Postdoctoral Fellow in the Department of Radiology at UC Davis Health

Bio: Kevin J. Chung, PhD, is an American Heart Association (AHA) Postdoctoral Fellow in the Department of Radiology at UC Davis Health, supervised by Drs. Guobao Wang and Simon Cherry. He obtained his PhD in Medical Biophysics from Western University
(London, Canada) in 2023 under the supervision of Dr. Ting-Yim Lee, where he optimized brain CT perfusion imaging for acute ischemic stroke. At UC Davis, he has developed novel total-body PET kinetic modeling approaches for quantitative imaging of blood flow across the body with 18F-FDG and blood-brain barrier permeability at the molecular level. His AHA fellowship focuses on developing total-body multiparametric PET tools for investigating the brain-heart axis, and more broadly, he is interested in developing methods to elucidate how the brain and body are functionally interconnected. Kevin’s work has been recognized with several early career awards, including the ISCBFM Niels Lassen Award at the 2025 Brain and Brain PET Conference.
Abstract: The recent advent of total-body PET is enabling new imaging opportunities with its order-of-magnitude increase in signal sensitivity and unique ability to dynamically image the entire body at once. Our work is pushing the boundaries of high-temporal resolution dynamic imaging to enable total-body multiparametric PET, overcoming limitations of conventional single-parametric PET imaging. Here we describe how we are exploiting the high performance of this new technology for quantitative imaging across scales and systems – from measuring blood flow across the entire body to blood-brain barrier permeability at the molecular level. We then show the potential of total-body PET for opportunistic studies of inter-organ connections, such as blood-brain barrier dysregulation in systemic liver disease. Our work builds toward a powerful human imaging platform for more comprehensively characterizing health and disease from a systems perspective.
This is a Special BrainMap seminar.

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BrainMap: Brain Microstructure Imaging with Diffusion MRI
2025-10-15 12:00 - 13:00
Speaker: Dr. Santiago Coelho, NYU School of Medicine
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BrainMap: Psychedelic rewiring of neuroimmune circuits in psychiatric disorders
2025-11-05 12:00 - 13:00
Speaker: Dr. Michael Wheeler
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BrainMap: Neuronal Activity-Related Sodium (NARS) fMRI Method
2025-11-12 12:00 - 13:00
Speaker: Dr. Xin Yu
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BrainMap: Magnetic Particle Imaging (MPI) for functional brain imaging; rodent and human-scale devices
2025-11-19 12:00 - 13:00
Speaker: Lawrence L. Wald Ph.D., A.A. Martinos Center for Biomedical Imaging, Dept. of Radiology, MGH, Harvard Medical School, Harvard-MIT Division of Health Science Technology
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BrainMap: Neural Correlates of Cognitive Abilities in the Human Connectome Project-Aging/Aging Adult Brain Connectome Cohort
2025-12-03 12:00 - 13:00
Speaker: Prof. David Salat — MGH Martinos Center / Harvard Medical School
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BrainMap: Acoustic holograms for personalized ultrasonic neuromodulation and drug delivery into the brain
2025-12-10 12:00 - 13:00
Speaker: Prof. Antonios Pouliopoulos — King’s College London
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BrainMap: Update on the Center for Mesoscale Mapping (P41)
2025-12-17 12:00 - 13:00
Speaker: Prof. Bruce Rosen (et al.) — Director of the Athinoula A. Martinos Center for Biomedical Imaging (MGH), Harvard Medical School (HMS)
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BrainMap: Nonlinear fields for diffusion and point of care imaging
2026-01-07 12:00 - 13:00
Speaker: Dr. Gig Galiana, PhD — Yale School of Medicine

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BrainMap: The future of concurrent TMS-fMRI: towards reproducible and reliable acquisitions with the RF Cap
2026-01-14 12:00 - 13:00
Speaker: Prof. Lucia Navarro de Lara, Ph.D. — Athinoula A. Martinos Center for Biomedical Imaging

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BrainMap: Generalizable deep learning for neuroimage analysis
2026-01-21 12:00 - 13:00
Speaker: — Dr. Malte Hoffmann, Athinoula A. Martinos Center for Biomedical Imaging

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BrainMap: Studying Cerebellar Electrophysiology using MEG and TMS
2026-02-04 12:00 - 13:00
Speaker: — Dr. Padma Sundaram, Athinoula A. Martinos Center for Biomedical Imaging

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BrainMap: Mapping Demyelination, Remyelination, and Axonal Integrity with [18F]3F4AP PET
2026-02-18 12:00 - 13:00
Speaker: — Dr. Pedro Brugarolas, PhD, MGH & HMS

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BrainMap: Molecular Imaging of Oncolytic Virotherapy with CEST Magnetic Resonance Fingerprinting and CEST Reporter
2026-02-25 12:00 - 13:00
Speaker: — Dr. Christian Farrar

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