Dynamic Resting State Motor Network Connectivity of Neurotypical Children, the Groundwork for Network-Guided Therapy in Childhood Movement Disorders Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1101/2021.11.30.470606
Background Normative childhood motor network resting-state fMRI effective connectivity is undefined, yet necessary for translatable dynamic resting-state network informed treatments in pediatric movement disorders. Method Cross-spectral dynamic causal modelling of resting-state fMRI was investigated in 19 neurotypically developing 5-7-year-old children. Fully connected six-node motor network models were created for each hemisphere including primary motor cortex, striatum, subthalamic nucleus, globus pallidus internus, thalamus, and contralateral cerebellum. Parametric Empirical Bayes with exhaustive Bayesian model reduction and Bayesian modeling averaging were used to create a group model for each hemisphere; Purdue Pegboard Test (PPBT) scores for relevant hand motor behavior were also entered as a covariate at the group level to determine the brain-behavior relationship. Results Overall, the resting-state functional MRI effective connectivity of motor cortico-basal ganglia-cerebellar networks was similar across hemispheres, with greater connectivity in the left hemisphere. The motor network effective connectivity relationships between the nodes were consistent and robust across subjects. Additionally, the PPBT score for each hand was positively correlated with the thalamus to contralateral cerebellum connection. Discussion The normative effective connectivity from resting-state functional MRI in children largely reflect the direction of inter-nodal signal predicted by other prior modalities and was consistent and robust across subjects, with differences from these prior task-dependent modalities that likely reflect the motor rest-action state during acquisition. Effective connectivity of the motor network was correlated with motor behavior, indicating effective connectivity brain-behavior relationship has physiological meaning in the normally developing. Thus, it may be helpful for future studies in children with movement disorders, wherein comparison to normative effective connectivity will be critical for network-targeted intervention. Impact Statement This is the first study to use pediatric resting-state functional MRI to create a normative effective connectivity model of the motor network and to also show correlation with behavior, which may have therapeutic implications for children with movement disorders.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2021.11.30.470606
- https://www.biorxiv.org/content/biorxiv/early/2021/12/02/2021.11.30.470606.full.pdf
- OA Status
- green
- Cited By
- 4
- References
- 73
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3217311918Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2021.11.30.470606Digital Object Identifier
- Title
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Dynamic Resting State Motor Network Connectivity of Neurotypical Children, the Groundwork for Network-Guided Therapy in Childhood Movement DisordersWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-12-02Full publication date if available
- Authors
-
Bethany L. Sussman, Sarah N. Wyckoff, Justin M. Fine, Jennifer Heim, Angus A. Wilfong, P. David Adelson, Michael C. Kruer, Varina L. BoerwinkleList of authors in order
- Landing page
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https://doi.org/10.1101/2021.11.30.470606Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2021/12/02/2021.11.30.470606.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.biorxiv.org/content/biorxiv/early/2021/12/02/2021.11.30.470606.full.pdfDirect OA link when available
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Resting state fMRI, Psychology, Neuroscience, Basal ganglia, Putamen, Connectome, Physical medicine and rehabilitation, Functional connectivity, Medicine, Central nervous systemTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
- Citations by year (recent)
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2023: 2, 2022: 2Per-year citation counts (last 5 years)
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73Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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