Paul Raines, PhD, was initially hired at the center as a scientific programmer in the Freesurfer group. Within his first year he took over management of all of the Center’s computational infrastructure. He now manages a group of four IT specialists that maintains over 400 Linux analysis workstations, 80 Linux servers, 100 batch compute nodes and various other computational devices. He also has written several web applications for Center management including the core software used for scheduling and billing.

Education

PhD in Physics, University of Pennsylvania

As the Head of MR Physics at the Harvard University Center for Brain Science, Neuroimaging facility, Dr. Mair’s role involves investigation and implementation of novel MRI methods for neuroimaging using the 3.0T MRI scanner, along with facility management duties. His research time has been split between optimization of advanced fMRI techniques, and investigation of acceleration methods for anatomical neuroimaging for morphomertric analysis. Both areas have covered the use of highly-parallel array receive coils, high levels of in-plane parallel imaging acceleration, multiband/simultaneous multi-slice imaging techniques, and recently undersampling with compressed sensing. The position requires close collaborations with Siemens developers, senior engineers and my colleagues at the Martinos Center for Biomedical Imaging at Massachusetts General Hospital who carry out significant MRI method development through interactions with the Siemens staff based at that site.

Prior to moving to this position, Dr. Mair held the position of Staff Scientist (Physicist) at the Smithsonian Astrophysical Observatory (part of the Harvard-Smithsonian Center for Astrophysics) for nearly 10 years. In collaboration with Dr Ron Walsworth, he helped lead a pioneering program in NMR and MRI applications of hyperpolarized noble gases in biomedical and materials science. This multidisciplinary work, involving collaborators from institutions as diverse as Schlumberger-Doll Research, MIT, Brigham and Women’s Hospital, Massachusetts General Hospital and University of New Hampshire, included development of methods to probe long-distance pore geometry, connectivity and permeability in reservoir rocks and model systems; and a program to design and build an open-access, human MRI scanner to probe posture-dependent effects in lung function. This period yielded close to 30 refereed publications, numerous applications to present invited lectures or colloquia, and 10 funded grant applications.

Education

PhD, Swinburne University of Technology, Australia

Select Publications

1. Nielsen JA, Mair RW, Baker JT, Buckner, RL. Precision Brain Morphometry: Feasibility and Opportunities of Extreme Rapid Scans. 2018.

2. Harms MP, Somerville LH, Ances BM, Andersson J, Barch DM, Bastiani M, Bookheimer SY, Brown TB, Buckner RL, Burgess GC, Coalson TS, Chappell MA, Dapretto M, Douaud G, Fischl B, Glasser MF, Greve DN, Hodge C, Jamison KW, Jbabdi S, Kandala S, Li X, Mair RW, Mangia S, Marcus D, Mascali D, Moeller S, Nichols TE, Robinson EC, Salat DH, Smith SM, Sotiropoulos SN, Terpstra M, Thomas KM, Tisdall MD, Ugurbil K, van der Kouwe A, Woods RP, Zöllei L, Van Essen DC, Yacoub E. Extending the Human Connectome Project across ages: Imaging protocols for the Lifespan Development and Aging projects. Neuroimage. 2018 Dec;183:972-984.

3. Mair RW, Wong GP, Hoffmann D, Hurlimann MD, Patz S, Schwartz LM, Walsworth RL. Probing porous media with gas diffusion NMR. Phys Rev Lett. 1999 Oct 18;83(16):3324-7.

Highlights

2016: Contribution to multisite NIH award: Mapping the Human Connectome During Typical Development (Site Co-I)

2015: Contribution to NIH S10 award: Upgrade Siemens MAGNETOM Trio to MAGNETOM Prisma Fit 3T Human MRI System (Research Scientist)

2005: Contribution to NSF Major Research Intrumentation award: MRI – Development of Instrumentation for High-Yield, High-Rate Hyperpolarized Noble Gas Production (Research Scientist)

Website

Center for Brain Science, Neuroimaging Facility

Dr. Sheraz Khan is an Instructor (Research Faculty) at Massachusetts General Hospital (MGH), Harvard Medical School and Massachusetts Institute of Technology (MIT). He has developed novel signal processing methods for understanding neural underpinnings of autism. His publications, including Khan et al, BRAIN, 2015 and Khan et al, PNAS, 2013 shed new light on functional connectivity in autism. The neurophysiological metrics presented in these papers, can be used to blindly identify individuals with ASD with high accuracy and correlate with severity of autism.

Dr. Khan contributes to MEG/EEG processing packages (MNE/Brainstorm). These tools are routinely used in MEG/EEG research and have led to several high impact publications. Since 2010, Dr. Khan has been part of the teaching faculty for Annual Multi-modal Neuroimaging course organized by MGH/HST Martinos Center for Biomedical Imaging, in which participants from all over the world get trained in different neuroimaging modalities. He contributes to Harvard Medical School and MIT brain imaging courses and routinely mentors several scientist at undergraduate, graduate and postdoctoral level in imaging data acquisition, analysis, interpretation and statistics.

Education

PhD in Computational and Applied Mathematics, Ecole Polytechnique, France

Select Publications

1. Khan S, Cohen D. Using the magnetoencephalogram to noninvasively measure magnetite in the living human brain. Hum Brain Mapp. 2019 Apr 1;40(5):1654-1665.

2. Samuelsson JG, Khan S, Sundaram P, Peled N, Hämäläinen MS. Cortical Signal Suppression (CSS) for Detection of Subcortical Activity Using MEG and EEG. Brain  Topogr. 2019 Mar;32(2):215-228.

3. Mamashli F, Khan S, Obleser J, Friederici AD, Maess B. Oscillatory dynamics of cortical functional connections in semantic prediction. Hum Brain Mapp. 2019 Apr 15;40(6):1856-1866.

Highlights

2010: Young Investigator Award Ecole Polytechnique, France

2013: Posters of Distinction, Research Fellows Poster Celebration, Massachusetts General Hospital, USA

2018: Young Investigator Award, International society for Biomagnetism, USA

Websites

The David Cohen MEG Laboratory
Khan Lab

Dr. Hui Wang’s research interests include developing innovative optical techniques and combining with MRI to study the structural-functional relationship of the brain. Particularly, a key question to answer is how the brain is connected to form the substrates of complex functions and what goes wrong in brain diseases. She has developed novel polarization sensitive optical coherence tomography techniques for mapping the connectivity and associated neuronal architecture in ex-vivo human brains and investigating in-vivo neurovascular coupling in small animals at micrometer resolution. Using the techniques, She has been studying the circuitry and architecture disruptions with neurodegenerative diseases in the cerebrum and the cerebellum. By incorporating high-resolution microscopic images into MRI tools, the goal is to identify pathology-related alterations as potential diagnostic biomarkers and prospective therapeutic targets.

Education

PhD, University of Minnesota

Select Publications

1. 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 Jan 15;165:56-68.

2. Wang H, Magnain C, Sakadžić S, Fischl B, Boas DA. Characterizing the optical properties of human brain tissue with high numerical aperture optical coherence tomography. Biomed Opt Express. 2017 Nov 14;8(12):5617-5636.

3. Wang H, Akkin T, Magnain C, Wang R, Dubb J, Kostis WJ, Yaseen MA, Cramer A, Sakadžić S, Boas D. Polarization sensitive optical coherence microscopy for brain imaging. Opt Lett. 2016 May 15;41(10):2213-6.

Highlights

2018: NIH K99/R00 Pathway to Independence Career Development Award

2016: UT Brain Seed Grant

2012: Doctoral Dissertation Fellowship at the University of Minnesota

Dr. Savoy received his academic training in applied mathematics at MIT (BS 1971; MS 1975) and experimental psychology at Harvard University (PhD 1980). This period included 10 years of work at Polaroid Corporation’s Vision Research Laboratory, after which he joined the newly formed Rowland Institute for Science, under the direction of the late Edwin Land, in 1981. In 1991 he first learned of the revolutionary work being conducted at the Massachusetts General Hospital’s Nuclear Magnetic Resonance (NMR) Center, using magnetic resonance imaging (MRI) to detect changes in neural activity (via the associated hemodynamic changes in blood flow, blood volume, and blood oxygenation level dependent (i.e., BOLD) contrast mechanisms). In 1993 Dr. Savoy joined that group and became the Director of Functional MRI Education in 1994. He has conducted fMRI training workshops regularly at the MGH NMR Center several times per year since 1994, attracting thousands of researchers from around the world. In addition, he has run similar programs at conferences and at other institutions in the United States, Europe, Asia and Australia. Dr. Savoy’s fMRI-based research interests are wide-ranging, including temporal resolution of functional MRI, stereopsis, language, American Sign Language, decision making, multivariate analysis, and dissociative identity disorder (multiple personalities). Dr. Savoy’s current primary activity is teaching, although he also conducts some research and is a research consultant for various investigators. In recent years he has developed two additions to the training programs a the Athinoula A. Martinos Center for Biomedical Imaging, associated with MGH, MIT and Harvard. One program is a two-week-long multi-modality workshop (started in 2007); and the other is on connectivity issues using both structural (diffusion-based) and functional (BOLD-based) MRI (started in 2012). Dr. Savoy has academic appoints at Harvard Medical School, Boston University, Massachusetts General Hospital and the University of Zagreb in Croatia.

Dr. Savoy has always taken particular interest in explaining the most complex of technical and scientific ideas to a wide range of audiences. Functional Brain Imaging is certainly based on complicated technologies, but there are a number of unifying and relatively simple underlying ideas. For a general audience, the focus is usually on the various ways in which functional brain imaging is being used to address long-standing questions in psychology, ethics and medicine. For a more technical audience, the emphasis is on supplying enough information to start designing and analyzing experiments.

In both cases, there is a clear focus on the overall scientific and social challenges, such as: “How can we evaluate and integrate the thousands of technical and popular reports coming from the world of functional brain imaging into a useful and believable overview of brain function that is scientifically valid? How does this information affect our daily interactions, as well as our activities in the context of legal and medical decision making?”

Education

PhD in Experimental Psychology, Harvard University

Select Publications

1. Savoy RL, Frederick BB, Keuroghlian AS, Wolk PC. Voluntary switching between identities in dissociative identity disorder: A functional MRI case study. Cogn Neurosci. 2012;3(2):112-9. Officially published online: http://dx.doi.org/10.1080/17588928.2012.669750

2. Savoy RL. Experimental design in brain activation MRI: cautionary tales. Brain Res Bull. 2005 Nov 15;67(5):361-7.

3. Savoy RL. Using small numbers of subjects in fMRI-based research. IEEE Eng Med Biol Mag. 2006 Mar-Apr;25(2):52-9.

Highlights

Functional Brain Imaging educational workshops at MGH and around the world, numbering more than 100.