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Challenges of imaging functional architecture of large-scale network

開催日 2014/9/11
時間 17:00 - 19:00
会場 Room F(302)
Chairperson(s) 定藤 規弘 / Norihiro Sadato (自然科学研究機構 生理学研究所 大脳皮質機能研究系 / Department of Cerebral Research, National Institute for Physiological Sciences, Japan)
林 拓也 / Takuya Hayashi (理化学研究所 ライフサイエンス技術基盤研究センター / Functional Architecture Imaging Unit, RIKEN Center for Life Science Technologies, Japan)

Cutting-edge diffusion-weighted imaging for non-invasive mapping of neurite morphology

  • S1-F-3-2
  • Gary Hui Zhang:1 
  • 1:Department of Computer Science and Centre for Medical Image Computing, University College London, London, UK 

The quantification of neurite morphology in live subjects is an outstanding challenge in neuroimaging. Neurites, including both dendrites and axons, are the cellular building blocks that constitute the complex computational circuitries of the brain. Quantifying neurite morphology, e.g., in terms of its density and patterns of branching, is recognized as vital for developing our fundamental understanding of the structural basis of brain function both in normal populations and in populations with brain disorders.

Our group has recently developed the first MRI technique to map key morphological features of neurites in live subjects. The technique, which we call Neurite Orientation Dispersion and Density Imaging (NODDI), has been designed from ground up to be amenable to a broad range of applications. It addresses the longstanding challenge of diffusion tensor imaging, namely the non-specificity of its derived measures, by enabling the disentanglement of these measures (e.g. FA) into more specific measures of tissue microstructure. Importantly, it achieves this without the need for long imaging time or specialized imaging hardwares or softwares. This talk will give an overview of the NODDI technique and present a number of recent applications, including imaging brain development and epilepsy.

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