Beyond the surface: how ex-vivo diffusion-weighted imaging reveals large animal brain microstructure and connectivity DOI Creative Commons
Mehdi Behroozi, Jean‐Marie Graïc, Tommaso Gerussi

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: June 26, 2024

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

Language: Английский

NEUROANATOMY, DIGITAL ATLASES, AND TEMPLATES OF BRAINS OF DOMESTIC ANIMALS (CAT, DOG, PIG, HORSE and SHEEP) USING MAGNETIC RESONANCE IMAGING DOI Creative Commons
Sedat Aydoğdu

Veteriner Farmakoloji ve Toksikoloji Derneği Bülteni, Journal Year: 2024, Volume and Issue: 15(1), P. 11 - 22

Published: April 25, 2024

Over the last two decades, neuroscience has witnessed an explosion in utilization of non-invasive imaging methods (particularly MRI) that are used to investigate study brain. Providing accurate and detailed imaging, MRI a significant impact on figuring out anatomy functioning In recent years, researchers studying veterinary science have seen as indispensable tool themselves. It is essential understand normal brain order explain many pathological processes. This review focused neuroanatomical studies, atlases templates generated from brains domestic animals (cat, dog, pig, horse, donkey, cattle, sheep, goat, camel) using 1980s present. Its data were summarized under three main parts. Firstly, cross-sectional created was examined. Afterward, digital templates, which had place modern neuroimaging analysis (such registration, segmentation three-dimensional reconstruction) summarized. Finally, vivo or ex studies crucial white matter tracts three-dimensionally modeled with DTI (Diffusion Tensor Imaging) mammals reviewed. Several examining neocortex by also included this section. There neuroanatomy conducted several specific species review. conclusion, importance animals.

Language: Английский

Citations

0
Beyond the surface: how ex-vivo diffusion-weighted imaging reveals large animal brain microstructure and connectivity DOI Creative Commons
Mehdi Behroozi, Jean‐Marie Graïc, Tommaso Gerussi

et al.

Frontiers in Neuroscience, Journal Year: 2024, Volume and Issue: 18

Published: June 26, 2024

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

Language: Английский

Citations

0