@inbook{f5722b4b520741cb8502c67b8fbce416,
title = "Dystonia in Childhood: How Insights from Paediatric Research Enrich the Network Theory of Dystonia",
abstract = "Dystonia is now widely accepted as a network disorder, with multiple brain regions and their interconnections playing a potential role in the pathophysiology. This model reconciles what could previously have been viewed as conflicting findings regarding the neuroanatomical and neurophysiological characteristics of the disorder, but there are still significant gaps in scientific understanding of the underlying pathophysiology. One of the greatest unmet challenges is to understand the network model of dystonia in the context of the developing brain. This article outlines how research in childhood dystonia supports and contributes to the network theory and highlights aspects where data from paediatric studies has revealed novel and unique physiological insights, with important implications for understanding dystonia across the lifespan.",
keywords = "Brain networks, Children, Dystonia, Dystonic cerebral palsy, EEG, EMG, Neurodevelopment, Neuromodulation, Plasticity, Sensorimotor integration",
author = "Verity McClelland and Jean-Pierre Lin",
note = "Funding Information: Funding Acknowledgement Dr. McClelland is currently supported by a Clinician Scientist Fellowship from the Medical Research Council UK (MRP0068681) and by the Rosetrees Trust (CF-2021-2-112) and was previously supported by a postdoctoral clinical research training fellowship from the Medical Research Council UK (MRP0068681) and by a project grant from the Rosetrees Trust (A1598). Funding Information: Dr. Lin has received support from the GSTT Charity Research and Education Fund A13, the Guy{\textquoteright}s and St Thomas Charity New Services and Innovation Grant G060708, the Dystonia Society UK Grants 01/2011 and 07/2013 and Action Medical Research GN2097 for work in childhood dystonia and deep brain stimulation neuromodulation and unrestricted educational grants from Medtronic Ltd. Publisher Copyright: {\textcopyright} 2023, Springer Nature Switzerland AG.",
year = "2023",
doi = "10.1007/978-3-031-26220-3_1",
language = "English",
series = "Advances in Neurobiology",
publisher = "Springer",
pages = "1--22",
booktitle = "Basic and Translational Applications of the Network Theory for Dystonia",
}