Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI

Abstract Functional magnetic resonance imaging (fMRI) has significant potential to evaluate changes in brain network activity after traumatic brain injury (TBI) and enable early prognosis of potential functional (e.g., motor, cognitive, behavior) deficits. In this study, resting-state and task-based...

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Autores principales:	Gregory Simchick, Kelly M. Scheulin, Wenwu Sun, Sydney E. Sneed, Madison M. Fagan, Savannah R. Cheek, Franklin D. West, Qun Zhao
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/cce699e3d1034a91858fc8451ac06e15
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spelling	oai:doaj.org-article:cce699e3d1034a91858fc8451ac06e152021-12-02T17:52:41ZDetecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI10.1038/s41598-021-91853-52045-2322https://doaj.org/article/cce699e3d1034a91858fc8451ac06e152021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91853-5https://doaj.org/toc/2045-2322Abstract Functional magnetic resonance imaging (fMRI) has significant potential to evaluate changes in brain network activity after traumatic brain injury (TBI) and enable early prognosis of potential functional (e.g., motor, cognitive, behavior) deficits. In this study, resting-state and task-based fMRI (rs- and tb-fMRI) were utilized to examine network changes in a pediatric porcine TBI model that has increased predictive potential in the development of novel therapies. rs- and tb-fMRI were performed one day post-TBI in piglets. Activation maps were generated using group independent component analysis (ICA) and sparse dictionary learning (sDL). Activation maps were compared to pig reference functional connectivity atlases and evaluated using Pearson spatial correlation coefficients and mean ratios. Nonparametric permutation analyses were used to determine significantly different activation areas between the TBI and healthy control groups. Significantly lower Pearson values and mean ratios were observed in the visual, executive control, and sensorimotor networks for TBI piglets compared to controls. Significant differences were also observed within several specific individual anatomical structures within each network. In conclusion, both rs- and tb-fMRI demonstrate the ability to detect functional connectivity disruptions in a translational TBI piglet model, and these disruptions can be traced to specific affected anatomical structures.Gregory SimchickKelly M. ScheulinWenwu SunSydney E. SneedMadison M. FaganSavannah R. CheekFranklin D. WestQun ZhaoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-19 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Gregory Simchick Kelly M. Scheulin Wenwu Sun Sydney E. Sneed Madison M. Fagan Savannah R. Cheek Franklin D. West Qun Zhao Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI
description	Abstract Functional magnetic resonance imaging (fMRI) has significant potential to evaluate changes in brain network activity after traumatic brain injury (TBI) and enable early prognosis of potential functional (e.g., motor, cognitive, behavior) deficits. In this study, resting-state and task-based fMRI (rs- and tb-fMRI) were utilized to examine network changes in a pediatric porcine TBI model that has increased predictive potential in the development of novel therapies. rs- and tb-fMRI were performed one day post-TBI in piglets. Activation maps were generated using group independent component analysis (ICA) and sparse dictionary learning (sDL). Activation maps were compared to pig reference functional connectivity atlases and evaluated using Pearson spatial correlation coefficients and mean ratios. Nonparametric permutation analyses were used to determine significantly different activation areas between the TBI and healthy control groups. Significantly lower Pearson values and mean ratios were observed in the visual, executive control, and sensorimotor networks for TBI piglets compared to controls. Significant differences were also observed within several specific individual anatomical structures within each network. In conclusion, both rs- and tb-fMRI demonstrate the ability to detect functional connectivity disruptions in a translational TBI piglet model, and these disruptions can be traced to specific affected anatomical structures.
format	article
author	Gregory Simchick Kelly M. Scheulin Wenwu Sun Sydney E. Sneed Madison M. Fagan Savannah R. Cheek Franklin D. West Qun Zhao
author_facet	Gregory Simchick Kelly M. Scheulin Wenwu Sun Sydney E. Sneed Madison M. Fagan Savannah R. Cheek Franklin D. West Qun Zhao
author_sort	Gregory Simchick
title	Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI
title_short	Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI
title_full	Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI
title_fullStr	Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI
title_full_unstemmed	Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI
title_sort	detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fmri
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/cce699e3d1034a91858fc8451ac06e15
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Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI

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