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Detection and characterization of resting state functional networks in squirrel monkey brain
Resting-state fMRI based on analyzing BOLD signals is widely used to derive functional networks in the brain and how they alter during disease or injury conditions. Resting-state networks can also be used to study brain functional connectomes across species, which provides insights into brain evolut...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518810/ https://www.ncbi.nlm.nih.gov/pubmed/37753115 http://dx.doi.org/10.1093/texcom/tgad018 |
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author | Sengupta, Anirban Wang, Feng Mishra, Arabinda Reed, Jamie L Chen, Li Min Gore, John C |
author_facet | Sengupta, Anirban Wang, Feng Mishra, Arabinda Reed, Jamie L Chen, Li Min Gore, John C |
author_sort | Sengupta, Anirban |
collection | PubMed |
description | Resting-state fMRI based on analyzing BOLD signals is widely used to derive functional networks in the brain and how they alter during disease or injury conditions. Resting-state networks can also be used to study brain functional connectomes across species, which provides insights into brain evolution. The squirrel monkey (SM) is a non-human primate (NHP) that is widely used as a preclinical model for experimental manipulations to understand the organization and functioning of the brain. We derived resting-state networks from the whole brain of anesthetized SMs using Independent Component Analysis of BOLD acquisitions. We detected 15 anatomically constrained resting-state networks localized in the cortical and subcortical regions as well as in the white-matter. Networks encompassing visual, somatosensory, executive control, sensorimotor, salience and default mode regions, and subcortical networks including the Hippocampus-Amygdala, thalamus, basal-ganglia and brainstem region correspond well with previously detected networks in humans and NHPs. The connectivity pattern between the networks also agrees well with previously reported seed-based resting-state connectivity of SM brain. This study demonstrates that SMs share remarkable homologous network organization with humans and other NHPs, thereby providing strong support for their suitability as a translational animal model for research and additional insight into brain evolution across species. |
format | Online Article Text |
id | pubmed-10518810 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-105188102023-09-26 Detection and characterization of resting state functional networks in squirrel monkey brain Sengupta, Anirban Wang, Feng Mishra, Arabinda Reed, Jamie L Chen, Li Min Gore, John C Cereb Cortex Commun Original Article Resting-state fMRI based on analyzing BOLD signals is widely used to derive functional networks in the brain and how they alter during disease or injury conditions. Resting-state networks can also be used to study brain functional connectomes across species, which provides insights into brain evolution. The squirrel monkey (SM) is a non-human primate (NHP) that is widely used as a preclinical model for experimental manipulations to understand the organization and functioning of the brain. We derived resting-state networks from the whole brain of anesthetized SMs using Independent Component Analysis of BOLD acquisitions. We detected 15 anatomically constrained resting-state networks localized in the cortical and subcortical regions as well as in the white-matter. Networks encompassing visual, somatosensory, executive control, sensorimotor, salience and default mode regions, and subcortical networks including the Hippocampus-Amygdala, thalamus, basal-ganglia and brainstem region correspond well with previously detected networks in humans and NHPs. The connectivity pattern between the networks also agrees well with previously reported seed-based resting-state connectivity of SM brain. This study demonstrates that SMs share remarkable homologous network organization with humans and other NHPs, thereby providing strong support for their suitability as a translational animal model for research and additional insight into brain evolution across species. Oxford University Press 2023-09-02 /pmc/articles/PMC10518810/ /pubmed/37753115 http://dx.doi.org/10.1093/texcom/tgad018 Text en © The Author(s) 2023. 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 Sengupta, Anirban Wang, Feng Mishra, Arabinda Reed, Jamie L Chen, Li Min Gore, John C Detection and characterization of resting state functional networks in squirrel monkey brain |
title | Detection and characterization of resting state functional networks in squirrel monkey brain |
title_full | Detection and characterization of resting state functional networks in squirrel monkey brain |
title_fullStr | Detection and characterization of resting state functional networks in squirrel monkey brain |
title_full_unstemmed | Detection and characterization of resting state functional networks in squirrel monkey brain |
title_short | Detection and characterization of resting state functional networks in squirrel monkey brain |
title_sort | detection and characterization of resting state functional networks in squirrel monkey brain |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10518810/ https://www.ncbi.nlm.nih.gov/pubmed/37753115 http://dx.doi.org/10.1093/texcom/tgad018 |
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