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J-GLOBAL ID：202002262055005168   Reference number：20A0429867

Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography

階層ベイズ拡散光トモグラフィーにより推定された静止状態の機能的接続性【JST・京大機械翻訳】

Author (9)： Aihara Takatsugu (Graduate School of Human and Environmental Studies, Kyoto University, Kyoto, Japan) ,  Aihara Takatsugu (Neural Information Analysis Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan) ,  Shimokawa Takeaki (Neural Information Analysis Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan) ,  Ogawa Takeshi (Cognitive Mechanisms Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan) ,  Okada Yuto (Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan) ,  Ishikawa Akihiro (Medical Systems Division, Research and Development Department, Shimadzu Corporation, Kyoto, Japan) ,  Inoue Yoshihiro (Medical Systems Division, Research and Development Department, Shimadzu Corporation, Kyoto, Japan) ,  Yamashita Okito (Neural Information Analysis Laboratories, Advanced Telecommunications Research Institute International, Kyoto, Japan) ,  Yamashita Okito (RIKEN Center for Advanced Intelligence Project, Tokyo, Japan)
Material： Frontiers in Neuroscience (Web)
Volume： 14  Page： 32  Publication year： 2020 
JST Material Number： U7087A  ISSN： 1662-453X  Document type： Article
Article type： 原著論文  Country of issue： Switzerland (CHE)  Language： ENGLISH (EN)

Abstract/Point： Resting-state functional conne...

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Thesaurus term： connectivity ,  similarity ,  three dimension ,  *algorithm ,  channel ,  space resolving power ,  deoxidization ,  reproducibility ,  scanner ,  detector ,  reconstitution ,  near infrared spectroscopy ,  man ,  hand-held type ,  bed rest

Author keywords (5)： resting-state functional connectivity (RSFC) ,  near-infrared spectroscopy (NIRS) ,  diffuse optical tomography (DOT) ,  hierarchical Bayesian estimation algorithm ,  minimum norm algorithm

JST classification (2)： Central nervous system  (EJ12030F) ,  Biometry  (EL03020C)

Reference (37)：

• Aihara T., Shimokawa T., Ogawa T., Okada Y., Ishikawa A., Inoue Y., et al (2018). “"Resting state functional connectivity with hierarchical Bayesian diffuse optical tomography,"” in Proceedings of the Conference fNIRS2018, Tokyo.
• Birn R. M., Molloy E. K., Patriat R., Parker T., Meier T. B., Kirk G. R., et al (2013). The effect of scan length on the reliability of resting-state fMRI connectivity estimates. Neuroimage 83 550-558. doi: 10.1016/j.neuroimage.2013.05.099
• Biswal B., Yetkin F. Z., Haughton V. M., Hyde J. S. (1995). Functional connectivity in the motor cortex of resting human brain using echo-planar MRI. Magn. Reson. Med. 34 537-541. doi: 10.1002/mrm.1910340409
• Boas D. A., Dale A. M., Franceschini M. A. (2004). Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage 23(Suppl. 1), S275-S288. doi: 10.1002/mrm.1910340409
• Culver J. P., Durduran T., Furuya D., Cheung C., Greenberg J. H., Yodh A. G. (2003). Diffuse optical tomography of cerebral blood flow, oxygenation, and metabolism in rat during focal ischemia. J. Cereb. Blood Flow Metab. 23 911-924. doi: 10.1097/01.wcb.0000076703.71231.bb

Terms in the title (5)： 階層ベイズ ,  拡散光トモグラフィー ,  推定 ,  静止状態 ,  接続性