 New OHBM Homepage This month OHBM launched its new website. This long-standing project dates back to 2014, when a membership-needs survey revealed that OHBM members wanted more online resources for educational advancement and career opportunities. There was also a desire for outlets in which to promote new influential research and controversies in human brain mapping and engage our members outside of the annual meeting - issues now addressed through the OHBM blog, the non-member media, and social media accounts. For the website, members wanted this new functionality in a clear, intuitive layout that was more responsive to dynamic content and the changing needs of the brain mapping community. Thus, the story of a new website began. The challenge to design and implement the new website was taken on by the website team within the OHBM Communications Committee. This 8-person-strong team (Fernando Barrios, Roselyne Chauvin, Christophe Phillips, Jessica Turner, Stephanie McGuire, Jae Gullings) led by Jeanette Mumford and Lisa Nickerson, integrated feedback from the survey with the set of existing webpages, updated content, and re-organized them by type for easier user navigation. They also considered how to merge the website with the new educational material provided by the OHBM On Demand service, a platform that hosts past OHBM courses and talks. These now openly available videos and slides allow anyone interested to watch keynote lectures from Susan Bookheimer, Tim Behrens, and other high profile brain mappers, as well as many educational courses, such as diffusion MRI, advanced fMRI analyses and hundreds of other topics covering state-of-the-art methodologies and clinical applications of neuroimaging. The website team developed ways to integrate and present various streams of OHBM news that emerge throughout the year, with front-page links to the OHBM blog and lay media. They created a new searchable career center, allowing job seekers to post their CVs & search jobs, and employers to post new positions and search CVs. For important announcements, the team created a “what’s happening” section on the front page, letting users know about abstract submission deadlines, the Replication and Young Investigator awards and other OHBM initiatives. The new format also made it easier to locate and view the dedicated webpages for COBIDAS, special interest groups and OHBM chapters. Critically, the website now displays more easily on mobile phones and tablets - providing all this info in a way that suits our busier lives.  New OHBM Annual Meeting Microsite Last, our new website includes a dedicated space for each year’s annual meeting website, creating consistency and better organization of information. You can find out answers to frequently-asked questions, register for the hackathon, see featured speakers when they are announced and check out the sponsors and exhibitors. Our advice: have a few clicks around the website, give us your feedback, and most of all, enjoy your new hub for all things brain mapping!
Check out the new site: www.humanbrainmapping.org
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By Csaba Orban, Valeria Kebets, Thomas Yeo on behalf of the OHBM 2018 Local Organizing Committee (LOC)  Click on image to go to the "brain-in-sinc" website As you may have heard, OHBM 2018 will be hosted in Singapore. Come join us to learn about the latest developments in neuroimaging methodologies and applications, and to meet like-minded scientists in a highly inter-disciplinary forum. This year’s meeting will have a special focus on multimodal imaging, an LOC symposium on mapping functional connectivity to behaviors in young and aging populations, while also featuring the ever-popular educational sessions and the must-go Hackathon. You can visit our dedicated brain-in-sinc website (right), which highlights attractions in and beyond Singapore, delicious cuisine, and essential travel tips from our local volunteer group.  Singapore River, Singapore Singapore (aka “the Lion City”, “the Small Red Dot”) is a small island-state located in the heart of South-East Asia between Malaysia and Indonesia. Originally a small trading post under British rule in the 19th century, over the past few decades Singapore has remarkably transitioned from a third world to a first world economy. Paralleling this economic transformation, Singapore has invested heavily in its educational system, infrastructure, and biotech industry. Singapore has a young, but rapidly growing neuroimaging community, fostered by its collaborative ethos, investment in state-of-the-art infrastructure, and ability to attract both foreign and local scientists. The neuroimaging community is distributed across the Duke-NUS Medical School (Duke-NUS Centre for Cognitive Neuroscience), National University of Singapore (NUS), Nanyang Technological University (NTU), the Lee Kong Chian School of Medicine (LKCMedicine), A*STAR-NUS Clinical Imaging Research Centre (CIRC), Singapore Institute for Neurotechnology (SINAPSE), National Neuroscience Institute (NNI), Yale-NUS College and the Singapore BioImaging Consortium (SBIC).  Buddha Tooth Relic Temple in Chinatown Situated 144 km north of the equator, Singapore is a tropical metropolis, where skyscrapers meet lush gardens and canopies, nestled between natural reserves rich with wildlife. Singapore has a uniquely diverse history, where customs, cuisine and architecture reflect Chinese, Malay, Indian and British influences. Attendees can explore Singapore’s rich cultural heritage on foot by visiting Victoria Theatre and Concert Hall, originally the Town Hall of Singapore in the 19th century, the spectacular architecture of Sri Veeramakaliamman Temple in Little India or the Peranakan shophouses on Emerald Hill and in Kampong Glam. For museum lovers, Singapore offers plenty of attractions, including the Peranakan Museum, National Gallery, ArtScience Museum, National Museum of Singapore, and the Asian Civilisations Museum. Those who want to switch-off can take a stroll in the Singapore Botanic Gardens, go for a hike in Bukit Timah Nature Reserve, or take the TreeTop Walk at MacRitchie Reservoir Park (click on photo below to see video).  Click on image to see bird's eye video of MacRitchie  Satay by the bay Visitors can partake in the country’s national sport: eating out, and try an unparalleled variety of foods. Singapore is famous for its hawker centres where collections of individual, often family-run, stalls offer an assortment of culinary delights at affordable rates. OHBM attendees will have the chance to experience authentic specialties such as Hainanese Chicken Rice, Laksa, Chili Crab, Kaya Toast, Satay, Sambal Sting Ray and Char Kway Teow. In 2016, Hill Street Tai Hwa Pork Noodle and Hong Kong Soya Sauce Chicken Rice and Noodle became the first hawker stalls in Asia to attain Michelin star status, while serving meals from S$2 (US$1.42). Singapore also offers an impressive range of fine-dining options, covering local, Asian, European and Fusion cuisines. Visitors can pair their meal with breathtaking views of the city in one of Singapore’s many high-rise restaurants, such as the Equinox Restaurant on the 70th floor of the Swissôtel, Cé La Vi on the top of Marina Bay Sands, or Level33, the world’s highest microbrewery, overlooking Marina Bay. Getting around the city is easy, due to its modern, efficient and affordable transportation system. The conference will be held at Suntec Singapore International Convention and Exhibition Centre, which is located near prime attractions of Singapore such as Esplanade, Gardens by the Bay, National Gallery and Raffles Hotel (where Singapore Sling was invented). Singapore should be easily accessible for all conference attendees, as Changi Airport is the 2nd most connected airport in Asia, serving flights to 380 cities, in 90 countries. Remember to submit your abstracts by Dec 15th, 2017 at 11:59 pm EST. We look forward to welcoming you in the Lion City in June, 2018! BY JEAN CHEN David Van Essen is the winner of the prestigious 2017 Glass Brain Award from the Organization of Human Brain Mapping (OHBM). David is the Alumni Endowed Professor in the Department of Neuroscience at Washington University in St. Louis, and he chaired the department for 20 years. He was Principal Investigator (PI) for the original Young Adult Human Connectome Project (HCP, jointly with Dr. Kamil Ugurbil from the University of Minnesota) and is currently a co-PI for the Lifespan HCP Development, Lifespan HCP Aging, and Connectome Coordination Facility projects. He was also founding chair of the OHBM Council. The Glass Brain Award is selected annually "to recognize lifetime achievement by leading researchers using or facilitating neuroimaging to discover original and influential findings". David was recognized for his illustrious career of charting the brain over more than 50 years. His journey in brain mapping has taken him from Harvard to Oslo to University College London (UCL, as a postdoctoral fellow), and then as faculty at Caltech and at Wash U.
Jean Chen (JC): When and how did you begin as a “brain mapper”? David Van Essen (DVE): My adventures in brain mapping began in 1975, when I was studying extrastriate visual cortex in the macaque monkey as a postdoc at UCL. To deal with the complexity of cortical convolutions, I became a “cortical cartographer” by developing a pencil-and-tracing-paper method of making cortical flat maps, akin to flat maps of the earth’s surface. Later, my lab and others were able to computerize this process, thereby ushering in the modern era of computerized cortical cartography. JC: What do you consider your proudest academic/career achievements (aside from the Glass Brain Award)? DVE: On the scientific front, I consider my top four achievements to be: 1) Proposing that cerebral cortex is a distributed hierarchical system based on patterns of anatomical connectivity (with John Maunsell and Dan Felleman) 2) Hypothesizing that mechanical tension along axons and dendrites is a fundamental driving force for brain morphogenesis, including cortical folding. 3) Leading (with Kamil Ugurbil) the Human Connectome Project and helping develop and expound the ‘HCP-style’ neuroimaging paradigm for data acquisition, analysis, and sharing. 4) Mapping (with Matt Glasser) a new 180-area-per-hemisphere multimodal human cortical parcellation.  Volume and Surface Representations of Mouse, Macaque, and Human Brains. Figure taken from Van Essen, Neuron 2013; 80: 775-790. JC: As PI of the Human Connectome Project, how did your involvement begin, and what do you see for the outcome and future of the HCP? DVE: In 2009, NIH announced a competition for the Human Connectome Project, triggering a flurry of discussions at Washington University (‘WashU’) and at many other institutions. I emerged as the leader of the WashU effort, and we later decided to team up with the University of Minnesota, Oxford University, and several other institutions to establish a consortium with broad and complementary strengths. Once the HCP was awarded in 2010, helping to lead this project became my primary research activity, and it emerged as the most exciting adventure of my scientific career. The success of the HCP can be measured in a variety of ways; e.g., nearly 10,000 investigators have agreed to HCP data use terms; more than 400 publications acknowledge HCP data use; and these numbers continue to grow. The original ‘young adult HCP’ wrapped up in 2016. It has been supplanted by a three-pronged effort, all predicated on HCP-style neuroimaging. (1) NIH awarded three Lifespan Human Connectome Projects to elucidate brain circuitry across the lifespan, during healthy development, maturation, and aging; I am one of the Principal Investigators for the Lifespan HCP Development and Aging projects. These projects are complemented by the Developing Human Connectome Project (dHCP) in Britain, which is studying brain development prenatally and at birth. (2) NIH has also funded 14 projects under the Connectomes Related to Human Disease (“Disease Connectome”) umbrella; each of these projects studies brain circuitry in a particular brain disorder. (3) All of the data from the Lifespan projects and the Disease Connectome Projects will be freely shared via the Connectome Coordination Facility (CCF) that Dan Marcus and I jointly lead. JC: In 2017, you were elected to the prestigious National Academy of Sciences. Can you describe for us how it came about and how it will influence your research going forward? DVE: One morning last May, I received an unexpected phone call while working at home, with the terrific news about my election to the NAS. The news spread quickly, and I was soon enjoying a veritable blizzard of congratulatory emails. The actual induction ceremony will be in the spring of 2018. While it is deeply gratifying to receive acknowledgment for lifetime accomplishments, I don’t anticipate that Academy membership will strongly impact my research focus or agenda. I still receive my greatest enjoyment from working in the scientific trenches with students, staff, and collaborators. JC: Your 2016 publication in Nature (“A multi-modal parcellation of human cerebral cortex”) generated much excitement. This parcellation was generated based on cortical structure, function, connectivity and topography, and identified 97 new brain areas. What’s the next step in this line of research? DVE: This study is truly a highlight of my scientific career, but the lion’s share of the credit goes to Matt Glasser (my grad student at the time) for his vision and tenacity in driving the project to fruition. Of particular importance is that our ‘areal classifier’ approach allows parcellation of individual subjects, as long as a sufficient amount of high-quality multimodal imaging data has been acquired. Several interesting next steps spring to mind. Applying the HCP multimodal parcellation strategy (using the areal classifier) to subjects from the Lifespan HCP Development and Aging projects should reveal whether some cortical areas get larger, smaller, or change their connectivity with maturation and/or aging. Applying the same approach to the Disease Connectome datasets will hopefully reveal areal differences related to brain disorders, and could potentially serve as valuable disease-specific biomarkers. We also hope that investigators in a variety of other arenas use our freely available multimodal parcellation (and the areal classifier, once it is publicly released) to aid in their own research projects by more accurately localizing and analyzing various phenomena and regions of interest. Finally, I am hopeful that the HCP multimodal parcellation and associated connectivity-related data will enable an important test of my 1997 hypothesis that axonal tension drives cortical folding. The key question is whether folding patterns in individual HCP subjects can be predicted by an analysis of ‘parcellated connectivity’.  The HCP multimodal parcellation identifies 180 brain areas, of which 97 are new, never-reported areas. Figure taken from Glasser et al., Nature 2016. JC: You’re considered an “activist” for data sharing. How did this passion begin, and what role did you think large-scale data sharing would play in brain research?
DVE: I became interested in data sharing in 1989-90, when I served on an Institute of Medicine committee that generated a report “Towards a National Neural Circuitry Database” and helped launch the “original” Human Brain Project in 1993. The HBP was led by two visionaries, Steve Koslow and Mike Huerta, and it emphasized data sharing from the outset. My Human Brain Project grant was first funded in 1994 and is now in its 24th year, with a sustained focus on informatics tools and data sharing. Data sharing has been spectacularly successful and vital in genomics, proteomics, and other molecularly oriented domains of bioinformatics. In contrast, systems neuroscientists, and neuroimagers in particular, have been slow out of the neuroinformatics gate. This is finally changing, thanks in part to the success of several large-scale neuroimaging projects, including the HCP and OpenfMRI, that focus on sharing unprocessed data but also (especially for the HCP) ‘minimally preprocessed’ data. Sharing of large-scale neuroimaging datasets is just the tip of an important iceberg. Another important objective is to facilitate sharing of extensively processed data, such as data associated with published figures. To address the challenge of organizing and sharing complex datasets, our neuroimaging visualization and analysis software, Connectome Workbench, uses ‘scene files’ to store all of the information needed to replicate exactly what is displayed in published figures. Investigators can upload scene files and their associated datasets to the BALSA database developed by my lab. To see BALSA in action, simply click this link. JC: What do you foresee as a next “big thing” in brain mapping? An exciting new research direction or development? DVE:It’s important to note that many “big things” consist of many small or medium advances that work well in combination. For example, the success of the HCP stems from numerous advances in data acquisition, analysis, and sharing, only a few of which were ‘big’ (such as “multiband” imaging for fMRI and diffusion imaging). I hope that one big thing in human neuroimaging over the next few years will be an accelerated transition, in which a large majority of investigators adopt the best available among existing approaches to data acquisition, analysis and sharing rather than sticking with ‘traditional’ methods that have been shown to be sub-optimal yet still dominate the field. Beyond that, I anticipate continued exciting advances in neuroimaging methodology, some of which may be game-changers in terms of acquiring and analyzing high resolution data at the level of individual cortical layers and columns. Regarding invasive brain imaging in animal models, I stand in awe of the explosion of new methods of charting brain structure, function, connectivity, and gene expression at both the microscopic and mesoscopic level. These advances have far from run their course, and indeed are likely to accelerate through ongoing investments such as the BRAIN Initiative and major private funding sources (e.g., the Allen Institute and the Chan-Zuckerberg Initiative). JC: Despite how much we know about the brain now, what do you consider to be the biggest challenge(s) for brain mappers, especially in this age of “big data”? DVE: It seems that the more we know about the brain, the more we realize how much remains to be deciphered. The era of big data brings exciting but daunting challenge to center stage: how can we weave together truly staggering amounts of complex data at different scales in space and time. Capitalizing fully on these vast treasure troves of information will require major advances in neuroinformatics and computational neuroscience. I predict that over the next several decades neuroinformatics and computational neuroscience will be radically reshaped and in turn will have a transformative effect on our ability to understand the brain in health and disease. JC: What two pieces of advice do you have for young and aspiring scientists? DVE: First, stay close to your data! In general, many complex processing steps occur between the initially acquired data and that which can represent a publishable figure and associated quantitative analysis. For your own research projects, know exactly what happened to your data; be your own devil’s advocate regarding methodological problems and potential biases that might impact your interpretation; and temper your conclusions accordingly. When attending to the research of others, be constructively critical but as even-handed as possible. Second, gain as much depth and breadth as possible for whatever research area you’ve chosen. This is very challenging in modern neuroimaging, so it is also important to network closely with others who can share complementary expertise needed for whatever project(s) you’re working on. Fortunately, a growing on-line community and associated resources can allow everyone to participate, even those from small institutions and/or laboratories. [OK, this is one over the limit, but I can’t resist!] Follow your scientific passions! In today’s intensely competitive academic environment, one key for success is to be passionately interested in the scientific and technical issues you’re working on, so you can sustain the drive and energy to make it through the ups and downs of a research career. |
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