Detecting functional connectivity disruptions in a translational pediatric traumatic brain injury porcine model using resting-state and task-based fMRI
Autor: | Kelly M. Scheulin, Gregory Simchick, Qun Zhao, Sydney E Sneed, Franklin D. West, Wenwu Sun, Madison M. Fagan, Savannah R Cheek |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
0301 basic medicine
Swine Traumatic brain injury Science Functional magnetic resonance imaging Neural circuits Trauma Article Translational Research Biomedical Group independent component analysis 03 medical and health sciences Sensorimotor processing 0302 clinical medicine Text mining Brain Injuries Traumatic Task Performance and Analysis Connectome medicine Animals Multidisciplinary medicine.diagnostic_test Resting state fMRI business.industry Functional connectivity Nonparametric statistics Cognition medicine.disease Magnetic Resonance Imaging Disease Models Animal 030104 developmental biology nervous system Case-Control Studies Computational neuroscience Motor cortex Medicine Nerve Net business Neuroscience 030217 neurology & neurosurgery |
Zdroj: | Scientific Reports, Vol 11, Iss 1, Pp 1-19 (2021) Scientific Reports |
ISSN: | 2045-2322 |
Popis: | 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. |
Databáze: | OpenAIRE |
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