Quantitative third-harmonic generation imaging of mouse visual cortex areas reveals correlations between functional maps and structural substrates
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boe-11-10-5650.pdf
Description
Published version
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10.44 MB
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Author(s)
Yildirim, Murat
Hu, Ming
Le, Nhat M.
Sugihara, Hiroki
So, Peter T. C.
Sur, Mriganka
Date Issued
September 2020
Journal
Biomedical Optics Express
Publisher
The Optical Society
Version
Final published version
Abstract
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. The structure of brain regions is assumed to correlate with their function, but there are very few instances in which the relationship has been demonstrated in the live brain. This is due to the difficulty of simultaneously measuring functional and structural properties of brain areas, particularly at cellular resolution. Here, we performed label-free, third-harmonic generation (THG) microscopy to obtain a key structural signature of cortical areas, their effective attenuation lengths (EAL), in the vertical columns of functionally defined primary visual cortex and five adjacent visual areas in awake mice. EALs measured by THG microscopy in the cortex and white matter showed remarkable correspondence with the functional retinotopic sign map of each area. Structural features such as cytoarchitecture, myeloarchitecture and blood vessel architecture were correlated with areal EAL values, suggesting that EAL is a function of these structural features as an optical property of these areas. These results demonstrate for the first time a strong relationship between structural substrates of visual cortical areas and their functional representation maps in vivo. This study may also help in understanding the coupling between structure and function in other animal models as well as in humans.
MIT Department
Picower Institute for Learning and Memory
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Mechanical Engineering
Massachusetts Institute of Technology. Department of Biological Engineering
Simons Center for the Social Brain (Massachusetts Institute of Technology)
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1364/boe.396962
