Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI

Abstract To understand brain function it is necessary to characterize both the underlying structural connectivity between neurons and the physiological integrity of these connections. Previous research exploring insect brain connectivity has typically used electron microscopy techniques, but this me...

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Autores principales:	Syed Salman Shahid, Christian M. Kerskens, Malcolm Burrows, Alice G. Witney
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f6e8143be3b34d50b8587a0bb76dbfb1
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spelling	oai:doaj.org-article:f6e8143be3b34d50b8587a0bb76dbfb12021-12-02T12:15:01ZElucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI10.1038/s41598-021-82187-32045-2322https://doaj.org/article/f6e8143be3b34d50b8587a0bb76dbfb12021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-82187-3https://doaj.org/toc/2045-2322Abstract To understand brain function it is necessary to characterize both the underlying structural connectivity between neurons and the physiological integrity of these connections. Previous research exploring insect brain connectivity has typically used electron microscopy techniques, but this methodology cannot be applied to living animals and so cannot be used to understand dynamic physiological processes. The relatively large brain of the desert locust, Schistercera gregaria (Forksȧl) is ideal for exploring a novel methodology; micro diffusion magnetic resonance imaging (micro-dMRI) for the characterization of neuronal connectivity in an insect brain. The diffusion-weighted imaging (DWI) data were acquired on a preclinical system using a customised multi-shell diffusion MRI scheme optimized to image the locust brain. Endogenous imaging contrasts from the averaged DWIs and Diffusion Kurtosis Imaging (DKI) scheme were applied to classify various anatomical features and diffusion patterns in neuropils, respectively. The application of micro-dMRI modelling to the locust brain provides a novel means of identifying anatomical regions and inferring connectivity of large tracts in an insect brain. Furthermore, quantitative imaging indices derived from the kurtosis model that include fractional anisotropy (FA), mean diffusivity (MD) and kurtosis anisotropy (KA) can be extracted. These metrics could, in future, be used to quantify longitudinal structural changes in the nervous system of the locust brain that occur due to environmental stressors or ageing.Syed Salman ShahidChristian M. KerskensMalcolm BurrowsAlice G. WitneyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Syed Salman Shahid Christian M. Kerskens Malcolm Burrows Alice G. Witney Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI
description	Abstract To understand brain function it is necessary to characterize both the underlying structural connectivity between neurons and the physiological integrity of these connections. Previous research exploring insect brain connectivity has typically used electron microscopy techniques, but this methodology cannot be applied to living animals and so cannot be used to understand dynamic physiological processes. The relatively large brain of the desert locust, Schistercera gregaria (Forksȧl) is ideal for exploring a novel methodology; micro diffusion magnetic resonance imaging (micro-dMRI) for the characterization of neuronal connectivity in an insect brain. The diffusion-weighted imaging (DWI) data were acquired on a preclinical system using a customised multi-shell diffusion MRI scheme optimized to image the locust brain. Endogenous imaging contrasts from the averaged DWIs and Diffusion Kurtosis Imaging (DKI) scheme were applied to classify various anatomical features and diffusion patterns in neuropils, respectively. The application of micro-dMRI modelling to the locust brain provides a novel means of identifying anatomical regions and inferring connectivity of large tracts in an insect brain. Furthermore, quantitative imaging indices derived from the kurtosis model that include fractional anisotropy (FA), mean diffusivity (MD) and kurtosis anisotropy (KA) can be extracted. These metrics could, in future, be used to quantify longitudinal structural changes in the nervous system of the locust brain that occur due to environmental stressors or ageing.
format	article
author	Syed Salman Shahid Christian M. Kerskens Malcolm Burrows Alice G. Witney
author_facet	Syed Salman Shahid Christian M. Kerskens Malcolm Burrows Alice G. Witney
author_sort	Syed Salman Shahid
title	Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI
title_short	Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI
title_full	Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI
title_fullStr	Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI
title_full_unstemmed	Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI
title_sort	elucidating the complex organization of neural micro-domains in the locust schistocerca gregaria using dmri
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/f6e8143be3b34d50b8587a0bb76dbfb1
work_keys_str_mv	AT syedsalmanshahid elucidatingthecomplexorganizationofneuralmicrodomainsinthelocustschistocercagregariausingdmri AT christianmkerskens elucidatingthecomplexorganizationofneuralmicrodomainsinthelocustschistocercagregariausingdmri AT malcolmburrows elucidatingthecomplexorganizationofneuralmicrodomainsinthelocustschistocercagregariausingdmri AT alicegwitney elucidatingthecomplexorganizationofneuralmicrodomainsinthelocustschistocercagregariausingdmri
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Elucidating the complex organization of neural micro-domains in the locust Schistocerca gregaria using dMRI

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