眼位・瞳孔径変動を考慮した内因性光信号イメージングに基づく覚醒時マウス脳視野地図の推定  [in Japanese] Estimation of the Retinotopic Map of an Awake Mouse Brain Based upon Intrinsic Optical Signal Imaging Considering the Ocular Position and Variation in Pupil Diameter  [in Japanese]

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Author(s)

    • 外川 龍之介 TOGAWA Ryunosuke
    • 東北大学大学院情報科学研究科バイオモデリング論研究室 Biomodeling Laboratory, Graduate School of Information Sciences, Tohoku University
    • 奥畑 大悟 OKUHATA Daigo
    • 東北大学大学院情報科学研究科バイオモデリング論研究室 Biomodeling Laboratory, Graduate School of Information Sciences, Tohoku University
    • 吉田 侑冬 YOSHIDA Yuto
    • 東北大学大学院情報科学研究科バイオモデリング論研究室|日本学術振興会 Biomodeling Laboratory, Graduate School of Information Sciences, Tohoku University|Japan Society for the Promotion of Science (JSPS)
    • 中尾 光之 NAKAO Mitsuyuki
    • 東北大学大学院情報科学研究科バイオモデリング論研究室 Biomodeling Laboratory, Graduate School of Information Sciences, Tohoku University
    • 片山 統裕 KATAYAMA Norihiro
    • 東北大学大学院情報科学研究科バイオモデリング論研究室 Biomodeling Laboratory, Graduate School of Information Sciences, Tohoku University

Abstract

<p>We have developed a novel method to estimate the fine retinotopic map of the primary visual cortex from the intrinsic optical signal (IOS) induced by visual stimulation in an awake mouse. Unlike methods employing anesthesia, in order to reduce the burden on the animal, shortening the experimental time is an important requirement. During the awake state, eye movement, pupil diameter fluctuations, and brain background activity are present. Occurrence of eye movement blurs the retinal image. Excluding data under such circumstances in the synchronous average method is essential in conventional methods. In order to solve these problems, we focused on the strong correlation between the pupil diameter and the global signal (GS) of IOS and introduced a process to remove GS from IOS in preprocessing. This process improved the SN ratio of visual response in a single trial. We assumed that the response from the region of interest (ROI) of the cortex is described by the product sum of the retinal image and the receptive field function expressing the projection from the retina to the cortex. In this model, unlike the synchronous average method, the influence of eye movement can be expressed by shifting the retinal image. Therefore, all the response data can be used to estimate parameters, irrespective of the stimulation location or eye position. Additionally, in this method, the spatial resolution does not depend on the spatial resolution of the stimulation spot. The parameters of the receptive field function can be estimated using the nonlinear least squares method. By applying this method to real data, we obtained a retinotopic map with much higher spatial resolution than that obtained by conventional methods. Interestingly, structures similar to higher brain regions such as secondary visual cortex, which were previously observed only using invasive methods such as calcium imaging and electrophysiological method with electrode insertion in the mouse brain, were also visualized. These results demonstrate the usefulness of the proposed method with high spatial resolution.</p>

Journal

  • Transactions of Japanese Society for Medical and Biological Engineering

    Transactions of Japanese Society for Medical and Biological Engineering 56(4), 157-163, 2018

    Japanese Society for Medical and Biological Engineering

Codes

  • NII Article ID (NAID)
    130007604778
  • NII NACSIS-CAT ID (NCID)
    AA11633569
  • Text Lang
    JPN
  • ISSN
    1347-443X
  • NDL Article ID
    029489247
  • NDL Call No.
    Z19-108
  • Data Source
    NDL  J-STAGE 
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