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The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model

Normal functioning of the brain relies on a continual and efficient delivery of energy by a vast network of cerebral blood vessels. The bidirectional coupling between neurons and blood vessels consists of vasodilatory energy demand signals from neurons to blood vessels, and the retrograde flow of en...

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Autores principales: Kumar, Bhadra S., Menon, Sarath C., Gayathri, Sriya R., Chakravarthy, V. Srinivasa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290769/
https://www.ncbi.nlm.nih.gov/pubmed/35860300
http://dx.doi.org/10.3389/fnins.2022.917196
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author Kumar, Bhadra S.
Menon, Sarath C.
Gayathri, Sriya R.
Chakravarthy, V. Srinivasa
author_facet Kumar, Bhadra S.
Menon, Sarath C.
Gayathri, Sriya R.
Chakravarthy, V. Srinivasa
author_sort Kumar, Bhadra S.
collection PubMed
description Normal functioning of the brain relies on a continual and efficient delivery of energy by a vast network of cerebral blood vessels. The bidirectional coupling between neurons and blood vessels consists of vasodilatory energy demand signals from neurons to blood vessels, and the retrograde flow of energy substrates from the vessels to neurons, which fuel neural firing, growth and other housekeeping activities in the neurons. Recent works indicate that, in addition to the functional coupling observed in the adult brain, the interdependence between the neural and vascular networks begins at the embryonic stage, and continues into subsequent developmental stages. The proposed Vascular Arborization Model (VAM) captures the effect of neural cytoarchitecture and neural activity on vascular arborization. The VAM describes three important stages of vascular tree growth: (i) The prenatal growth phase, where the vascular arborization depends on the cytoarchitecture of neurons and non-neural cells, (ii) the post-natal growth phase during which the further arborization of the vasculature depends on neural activity in addition to neural cytoarchitecture, and (iii) the settling phase, where the fully grown vascular tree repositions its vascular branch points or nodes to ensure minimum path length and wire length. The vasculature growth depicted by VAM captures structural characteristics like vascular volume density, radii, mean distance to proximal neurons in the cortex. VAM-grown vasculature agrees with the experimental observation that the neural densities do not covary with the vascular density along the depth of the cortex but predicts a high correlation between neural areal density and microvascular density when compared over a global scale (across animals and regions). To explore the influence of neural activity on vascular arborization, the VAM was used to grow the vasculature in neonatal rat whisker barrel cortex under two conditions: (i) Control, where the whiskers were intact and (ii) Lesioned, where one row of whiskers was cauterized. The model captures a significant reduction in vascular branch density in lesioned animals compared to control animals, concurring with experimental observation.
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spelling pubmed-92907692022-07-19 The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model Kumar, Bhadra S. Menon, Sarath C. Gayathri, Sriya R. Chakravarthy, V. Srinivasa Front Neurosci Neuroscience Normal functioning of the brain relies on a continual and efficient delivery of energy by a vast network of cerebral blood vessels. The bidirectional coupling between neurons and blood vessels consists of vasodilatory energy demand signals from neurons to blood vessels, and the retrograde flow of energy substrates from the vessels to neurons, which fuel neural firing, growth and other housekeeping activities in the neurons. Recent works indicate that, in addition to the functional coupling observed in the adult brain, the interdependence between the neural and vascular networks begins at the embryonic stage, and continues into subsequent developmental stages. The proposed Vascular Arborization Model (VAM) captures the effect of neural cytoarchitecture and neural activity on vascular arborization. The VAM describes three important stages of vascular tree growth: (i) The prenatal growth phase, where the vascular arborization depends on the cytoarchitecture of neurons and non-neural cells, (ii) the post-natal growth phase during which the further arborization of the vasculature depends on neural activity in addition to neural cytoarchitecture, and (iii) the settling phase, where the fully grown vascular tree repositions its vascular branch points or nodes to ensure minimum path length and wire length. The vasculature growth depicted by VAM captures structural characteristics like vascular volume density, radii, mean distance to proximal neurons in the cortex. VAM-grown vasculature agrees with the experimental observation that the neural densities do not covary with the vascular density along the depth of the cortex but predicts a high correlation between neural areal density and microvascular density when compared over a global scale (across animals and regions). To explore the influence of neural activity on vascular arborization, the VAM was used to grow the vasculature in neonatal rat whisker barrel cortex under two conditions: (i) Control, where the whiskers were intact and (ii) Lesioned, where one row of whiskers was cauterized. The model captures a significant reduction in vascular branch density in lesioned animals compared to control animals, concurring with experimental observation. Frontiers Media S.A. 2022-07-04 /pmc/articles/PMC9290769/ /pubmed/35860300 http://dx.doi.org/10.3389/fnins.2022.917196 Text en Copyright © 2022 Kumar, Menon, Gayathri and Chakravarthy. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Kumar, Bhadra S.
Menon, Sarath C.
Gayathri, Sriya R.
Chakravarthy, V. Srinivasa
The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model
title The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model
title_full The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model
title_fullStr The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model
title_full_unstemmed The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model
title_short The Influence of Neural Activity and Neural Cytoarchitecture on Cerebrovascular Arborization: A Computational Model
title_sort influence of neural activity and neural cytoarchitecture on cerebrovascular arborization: a computational model
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9290769/
https://www.ncbi.nlm.nih.gov/pubmed/35860300
http://dx.doi.org/10.3389/fnins.2022.917196
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