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Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging

Noninvasive diffusion-weighted magnetic resonance imaging (dMRI) can be used to map the neural connectivity between distinct areas in the intact brain, but the standard resolution achieved fundamentally limits the sensitivity of such maps. We investigated the sensitivity and specificity of high-reso...

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Autores principales: Tang-Wright, K, Smith, J E T, Bridge, H, Miller, K L, Dyrby, T B, Ahmed, B, Reislev, N L, Sallet, J, Parker, A J, Krug, K
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201591/
https://www.ncbi.nlm.nih.gov/pubmed/34730185
http://dx.doi.org/10.1093/cercor/bhab364
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author Tang-Wright, K
Smith, J E T
Bridge, H
Miller, K L
Dyrby, T B
Ahmed, B
Reislev, N L
Sallet, J
Parker, A J
Krug, K
author_facet Tang-Wright, K
Smith, J E T
Bridge, H
Miller, K L
Dyrby, T B
Ahmed, B
Reislev, N L
Sallet, J
Parker, A J
Krug, K
author_sort Tang-Wright, K
collection PubMed
description Noninvasive diffusion-weighted magnetic resonance imaging (dMRI) can be used to map the neural connectivity between distinct areas in the intact brain, but the standard resolution achieved fundamentally limits the sensitivity of such maps. We investigated the sensitivity and specificity of high-resolution postmortem dMRI and probabilistic tractography in rhesus macaque brains to produce retinotopic maps of the lateral geniculate nucleus (LGN) and extrastriate cortical visual area V5/MT based on their topographic connections with the previously established functional retinotopic map of primary visual cortex (V1). We also replicated the differential connectivity of magnocellular and parvocellular LGN compartments with V1 across visual field positions. Predicted topographic maps based on dMRI data largely matched the established retinotopy of both LGN and V5/MT. Furthermore, tractography based on in vivo dMRI data from the same macaque brains acquired at standard field strength (3T) yielded comparable topographic maps in many cases. We conclude that tractography based on dMRI is sensitive enough to reveal the intrinsic organization of ordered connections between topographically organized neural structures and their resultant functional organization.
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spelling pubmed-92015912022-06-16 Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging Tang-Wright, K Smith, J E T Bridge, H Miller, K L Dyrby, T B Ahmed, B Reislev, N L Sallet, J Parker, A J Krug, K Cereb Cortex Original Article Noninvasive diffusion-weighted magnetic resonance imaging (dMRI) can be used to map the neural connectivity between distinct areas in the intact brain, but the standard resolution achieved fundamentally limits the sensitivity of such maps. We investigated the sensitivity and specificity of high-resolution postmortem dMRI and probabilistic tractography in rhesus macaque brains to produce retinotopic maps of the lateral geniculate nucleus (LGN) and extrastriate cortical visual area V5/MT based on their topographic connections with the previously established functional retinotopic map of primary visual cortex (V1). We also replicated the differential connectivity of magnocellular and parvocellular LGN compartments with V1 across visual field positions. Predicted topographic maps based on dMRI data largely matched the established retinotopy of both LGN and V5/MT. Furthermore, tractography based on in vivo dMRI data from the same macaque brains acquired at standard field strength (3T) yielded comparable topographic maps in many cases. We conclude that tractography based on dMRI is sensitive enough to reveal the intrinsic organization of ordered connections between topographically organized neural structures and their resultant functional organization. Oxford University Press 2021-11-03 /pmc/articles/PMC9201591/ /pubmed/34730185 http://dx.doi.org/10.1093/cercor/bhab364 Text en © The Author(s) 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Tang-Wright, K
Smith, J E T
Bridge, H
Miller, K L
Dyrby, T B
Ahmed, B
Reislev, N L
Sallet, J
Parker, A J
Krug, K
Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging
title Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging
title_full Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging
title_fullStr Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging
title_full_unstemmed Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging
title_short Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging
title_sort intra-areal visual topography in primate brains mapped with probabilistic tractography of diffusion-weighted imaging
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201591/
https://www.ncbi.nlm.nih.gov/pubmed/34730185
http://dx.doi.org/10.1093/cercor/bhab364
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