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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...

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Autores principales: Sengupta, Anirban, Wang, Feng, Mishra, Arabinda, Reed, Jamie L, Chen, Li Min, Gore, John C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
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.
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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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