Beyond the surface : how ex-vivo diffusion-weighted imaging reveals large animal brain microstructure and connectivity

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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Author(s)

  • Mehdi Behroozi
  • Jean-Marie Graïc
  • Tommaso Gerussi

Detail(s)

Original languageEnglish
Article number1411982
Number of pages9
Journal / PublicationFrontiers in Neuroscience
Volume18
Online published26 Jun 2024
Publication statusPublished - 2024

Link(s)

Abstract

Diffusion-weighted Imaging (DWI) is an effective and state-of-the-art neuroimaging method that non-invasively reveals the microstructure and connectivity of tissues. Recently, novel applications of the DWI technique in studying large brains through ex-vivo imaging enabled researchers to gain insights into the complex neural architecture in different species such as those of Perissodactyla (e.g., horses and rhinos), Artiodactyla (e.g., bovids, swines, and cetaceans), and Carnivora (e.g., felids, canids, and pinnipeds). Classical in-vivo tract-tracing methods are usually considered unsuitable for ethical and practical reasons, in large animals or protected species. Ex-vivo DWI-based tractography offers the chance to examine the microstructure and connectivity of formalin-fixed tissues with scan times and precision that is not feasible in-vivo. This paper explores DWI’s application to ex-vivo brains of large animals, highlighting the unique insights it offers into the structure of sometimes phylogenetically different neural networks, the connectivity of white matter tracts, and comparative evolutionary adaptations. Here, we also summarize the challenges, concerns, and perspectives of ex-vivo DWI that will shape the future of the field in large brains. © 2024 Behroozi, Graïc and Gerussi.

Research Area(s)

  • CSD, DTI, DWI, large brain, post-mortem imaging, tractography

Citation Format(s)

Beyond the surface: how ex-vivo diffusion-weighted imaging reveals large animal brain microstructure and connectivity. / Behroozi, Mehdi; Graïc, Jean-Marie; Gerussi, Tommaso.
In: Frontiers in Neuroscience, Vol. 18, 1411982, 2024.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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