Neuroimaging Platform

Abstracts Conclusion: In the brain of EL mice, neurosteroids are decreased before experiencing repetitive seizures, which may trigger the ictogenesis. GABAA receptors may become hypersensitive to neurosteroids in compensation. doi:10.1016/j.neures.2009.09.1697

SY3-H1-4 Neuroimaging Platform Kazuhisa Niki 1 , Norio Fujimaki 2 , Shinobu Masaki 3 , Kazuhisa Nota 3 , Keiji Matsuda 1 , Satoru Sasaki 5 , Ichikawa 4 , Yukiko Masayuki Hayasi 5 , Shiro Usui 6 , Ryouji Suzuki 4 1

SY3-H1-1 INCF Japan-Node and neuroinformatics platforms Shiro Usui RIKEN BSI, Japan Neuroinformatics develops the tools to house, share and analyze neuroscientific resources and to create computational models of the brain. To promote international cooperation of neuroinformatics research, the International Neuroinformatics Coordinating Facility(INCF) was formed in 2005. As the Japanese node(J-Node) among the fourteen national nodes of the INCF, the Neuroinformatics Japan Center(NIJC) in RIKEN BSI coordinates Japanese activities in neuroinformatics research with participating in the international coalition of INCF. Committees from selected research areas develop their platform(PF) on the base platform system XooNIps (http://xoonips.sourceforge.jp/). NIJC operates the J-Node portal (http://www.neuroinf.jp/) to make platform resources open accessible in public. Currently we have nine platforms: Visiome PF, Neuron-Glia PF(pending), brain-machine interface PF, invertebrate brain PF, neuroimaging PF, integrative brain research PF, cerebellar development transcriptome database, cerebellum PF, dynamic brain PF. And also, we are preparing simulation PF based on virtual machine which provides for testing models and/or software on each platform including models on ModelDB at SenseLab. doi:10.1016/j.neures.2009.09.1698

National Institute of Advanced Industrial Science and Technology, Japan; National Institute of Information and Communications Technology, Kobe, Japan; 3 ATR-Promotions, Kyoto, Japan; 4 Kanazawa Tech. U., Kanazawa, Japan; 5 Tsukuba U., Japan; 6 Riken BSI, Wako, Japan 2

We introduce NIMG-PF (Neuro-IMaGing neuroinformatics Platform: http://platform.nimg.neuroinf.jp/), a unique neuroinformatics site of NIJC (Neuro Informatics Japan Center at RIKEN), which was open in this spring. NIMG-PF gathers papers, presentation&docs, data, models, tools, books and urls in neuroimaging field; users can search and view these information data with traditional methods. Moreover, NIMG-PF supports the convenient visualization functions, which are useful for the neuroimaging database; a function of data search by pointing locations on the standard brain image, 3D brain images viewer, a tutorial viewer and more. NIMG-PF has these unique advanced functions, which expand beyond the rigid database(XooNIps), might be applied to any platforms of NIJC and make them more attractive.We hope that NIMG-PF will become useful to all people from beginners to experts in neuroimage. doi:10.1016/j.neures.2009.09.1701

SY3-H1-5 Dynamic Brain Platform Hiroaki Wagatsuma 1 , Yutaka Sakai 2 , Yoko Yamaguchi 1 , Minoru Tsukada 2 , Shiro Usui 1 1

SY3-H1-2 Invertebrate Brain Platform (IVB-PF) Ryohei Kanzaki 1 , Hidetoshi Ikeno 2 , Shiro Usui 3 1

RCAST, The University of Tokyo, Tokyo, Japan; 2 Sch. of Human Sci. and Environ., University of Hyogo, Himeji, Japan; 3 RIKEN BSI, Wako, Japan Understanding the neural mechanisms controlling behavior in natural environments is one of the principal aims in brain research. One approach towards this goal is reverse engineering of neural systems with the help of simulations. However, this type of approach has not yet been implemented for whole brains because of factors such as complexity of the circuitry and the difficulty to pool data due to individual variability affecting experimental results. Several brain functions promoted by interactions with the environment, such as adaptive mechanisms in information processing can conveniently be investigated using comparatively simple model systems, i.e. invertebrates and their brains. These may be simulated from the sensory mechanisms to the generation of behavior. In the present scope, the framework of the IVB-PF will be introduced. Furthermore, recent progress in reconstructing neural circuits using the IVB-PF will be presented, with particular focus on advances in understanding information processing in the insect brain.

SY3-H1-3 Visiome Platform Yoshimi Kamiyama 1 , Shiro Usui 2 Aichi Prefectural University, Japan;

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Brain Science Inst., Tamagawa University,

In focusing on dynamical aspects of the brain, the “Dynamic Brain Platform” (DBPF) website aims to provide a place to share research resources including articles, computational models, experimental data and tools for anyone who is interested in neuroscience. In particular, the DBPF committee strives to provide research articles on the site that functionally link to model descriptions, by using the Wiki-based web interface. In web technology, sharing structured data in eXtensible Markup Language (XML) is a recent trend recommended by the World Wide Web Consortium (W3C). By using XML descriptions, models related to our articles can be shared via the internet and easily combined and tested in the simulation platform. In this way, we support collaborative activities with Physiome.JP, which proposed a XML format for biological/physiological models, called insilicoML, and provides actual simulation systems. We expect visitors to read published articles and interactively test the linked models as a new means of scientific research. Our efforts and web technologies may afford new insights into the neuroscience. doi:10.1016/j.neures.2009.09.1702

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RIKEN Brain Science Institute, Japan

Vision science increasingly uses computational tools to assist in the exploration and interpretation of complex visual functions and phenomena. There is a critical need for a database where published data can be archived so that they can be accessed, uploaded, downloaded, and tested. Visiome Platform is being developed to answer this need as a web-based database system with a variety of digital research resources in vision science. The Visiome Platform Committee (Yoshimi Kamiyama, Shin’ya Nishida, Shigeki Nakauchi, Izumi Ohzawa, Takao Sato, Akiyoshi Kitaoka, Hiroshi Ashida, Hayaru Shouno, Shunji Satoh, Takayuki Kannon) has been constructing a website, http://platform.visiome.neuroinf.jp/, which includes mathematical models, experimental data, illusion designs, visual stimulus generation codes, demonstration movies and analytical software tools. doi:10.1016/j.neures.2009.09.1700

RIKEN BSI, Wako, Japan; Machida, Japan

SY3-H2-1 Analysis of spinal cord injury using diffusion MRI Masaya Nakamura 1 , Kanehiro Fujiyoshi 1 , Keigo Hikishima 1,3 , Yoshiaki Toyama 1 , Hideyuki Okano 2

doi:10.1016/j.neures.2009.09.1699

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Department of Orthopaedic Surgery, Keio University, Japan; 2 Department of Physiology, Keio University, Japan; 3 Central Institute for Experimental Animals, Japan The evaluation of axonal fibers is essential to assess the severity of spinal cord injury and efficacy of any treatment protocol, but conventional methods such as tracer injection are highly invasive, precluding clinical applications. Recent advances in MRI technology have led to the development of diffusion tensor tractography (DTT) as a potential modality to perform in vivo tracing of axonal fibers. In this study, we report the effectiveness of DTT to visualize both intact and surgically disrupted spinal long tracts in common marmosets using hemisection and contusion injury model. DTT clearly illustrated spinal projections such as the corticospinal tract and afferent fibers in control animals and depicted the severed long tracts in the injured animals. Histology of the spinal cords was consistent with DTT findings, verifying the accuracy of DTT. Taken together, these findings demonstrate the feasibility of applying DTT to preclinical and clinical studies of spinal cord injury. doi:10.1016/j.neures.2009.09.1703