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Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke

BACKGROUND: Perinatal stroke is the most common cause of unilateral cerebral palsy. Mechanisms of post-stroke developmental plasticity in children are poorly understood. To better understand the relationship between functional connectivity and disability, we used resting-state fMRI to compare sensor...

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Autores principales: Woodward, K.E., Carlson, H.L., Kuczynski, A., Saunders, J., Hodge, J., Kirton, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412078/
https://www.ncbi.nlm.nih.gov/pubmed/30642756
http://dx.doi.org/10.1016/j.nicl.2019.101670
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author Woodward, K.E.
Carlson, H.L.
Kuczynski, A.
Saunders, J.
Hodge, J.
Kirton, A.
author_facet Woodward, K.E.
Carlson, H.L.
Kuczynski, A.
Saunders, J.
Hodge, J.
Kirton, A.
author_sort Woodward, K.E.
collection PubMed
description BACKGROUND: Perinatal stroke is the most common cause of unilateral cerebral palsy. Mechanisms of post-stroke developmental plasticity in children are poorly understood. To better understand the relationship between functional connectivity and disability, we used resting-state fMRI to compare sensorimotor connectivity with clinical dysfunction. METHODS: School-aged children with periventricular venous infarction (PVI) and unilateral cerebral palsy were compared to controls. Resting-state BOLD signal was acquired on 3 T MRI and analyzed using CONN in SPM12. Functional connectivity was computed between S1, M1, supplementary motor area (SMA), and thalamus of the left/non-lesioned and right/lesioned hemisphere. Primary outcome was connectivity expressed as a Fisher-transformed correlation coefficient. Motor function was measured using the Assisting Hand Assessment (AHA), and Melbourne Assessment (MA). Proprioceptive function was measured using a robotic position matching task (VarXY). RESULTS: Participants included 15 PVI and 21 controls. AHA and MA in stroke patients were negatively correlated with connectivity (increased connectivity = poorer performance). Position sense was inversely correlated with connectivity (increased connectivity = improved performance) between the non-lesioned S1 and thalamus/SMA. In controls, VarXY was positively correlated with connectivity between the thalamus and bilateral sensorimotor regions. CONCLUSIONS: Resting state fMRI measures of sensorimotor connectivity are associated with clinical sensorimotor function in children with unilateral cerebral palsy secondary to PVI. Greater insight into understanding reorganization of brain networks following perinatal stroke may facilitate personalized rehabilitation.
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spelling pubmed-64120782019-03-21 Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke Woodward, K.E. Carlson, H.L. Kuczynski, A. Saunders, J. Hodge, J. Kirton, A. Neuroimage Clin Article BACKGROUND: Perinatal stroke is the most common cause of unilateral cerebral palsy. Mechanisms of post-stroke developmental plasticity in children are poorly understood. To better understand the relationship between functional connectivity and disability, we used resting-state fMRI to compare sensorimotor connectivity with clinical dysfunction. METHODS: School-aged children with periventricular venous infarction (PVI) and unilateral cerebral palsy were compared to controls. Resting-state BOLD signal was acquired on 3 T MRI and analyzed using CONN in SPM12. Functional connectivity was computed between S1, M1, supplementary motor area (SMA), and thalamus of the left/non-lesioned and right/lesioned hemisphere. Primary outcome was connectivity expressed as a Fisher-transformed correlation coefficient. Motor function was measured using the Assisting Hand Assessment (AHA), and Melbourne Assessment (MA). Proprioceptive function was measured using a robotic position matching task (VarXY). RESULTS: Participants included 15 PVI and 21 controls. AHA and MA in stroke patients were negatively correlated with connectivity (increased connectivity = poorer performance). Position sense was inversely correlated with connectivity (increased connectivity = improved performance) between the non-lesioned S1 and thalamus/SMA. In controls, VarXY was positively correlated with connectivity between the thalamus and bilateral sensorimotor regions. CONCLUSIONS: Resting state fMRI measures of sensorimotor connectivity are associated with clinical sensorimotor function in children with unilateral cerebral palsy secondary to PVI. Greater insight into understanding reorganization of brain networks following perinatal stroke may facilitate personalized rehabilitation. Elsevier 2019-01-09 /pmc/articles/PMC6412078/ /pubmed/30642756 http://dx.doi.org/10.1016/j.nicl.2019.101670 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Woodward, K.E.
Carlson, H.L.
Kuczynski, A.
Saunders, J.
Hodge, J.
Kirton, A.
Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke
title Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke
title_full Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke
title_fullStr Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke
title_full_unstemmed Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke
title_short Sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke
title_sort sensory-motor network functional connectivity in children with unilateral cerebral palsy secondary to perinatal stroke
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412078/
https://www.ncbi.nlm.nih.gov/pubmed/30642756
http://dx.doi.org/10.1016/j.nicl.2019.101670
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