Lesion distribution and network mapping in dyskinetic cerebral palsy

Author:

de Almeida Marcelino Ana LuísaORCID,Al-Fatly BassamORCID,Tuncer Mehmet S.ORCID,Krägeloh-Mann Ingeborg,Koy Anne,Kühn Andrea A.ORCID

Abstract

AbstractObjectiveDyskinetic cerebral palsy (DCP) encompasses a group of predominantly perinatally acquired complex motor disorders that present with dystonia and/or choreoathetosis and are frequently associated with brain lesions in neuroimaging. Recently, lesion network mapping provided a tool to redefine neurological disorders as circuitopathies. In this study, we aim to assess lesion distribution in DCP and identify a DCP-related network derived from lesions.MethodsHere, we review the literature of MRI findings in DCP and perform literature-based lesion network mapping (LNM). Imaging findings and their anatomical distribution were extracted from literature and quantified according to an established MRI classification system for cerebral palsy. Whole-brain functional connectivity from lesions causing DCP was calculated using a pediatric resting-state functional MRI connectome. Results were contrasted with two control datasets for spatial specificity.ResultsReview of 48 selected articles revealed that grey matter injury predominated (51%), followed by white matter injury (28%). In 16% of cases MRI was normal. Subcortical lesions affected the thalamus, pallidum and putamen in >40% of reported patients, respectively. Figures available from 23 literature cases were used to calculate DCP-LNM. The LNM revealed functional connectivity to a wide network including the brainstem, cerebellum, basal ganglia, cingulate, and sensorimotor cortices. Strongest connectivity was found for the motor thalamus.InterpretationThe neural network of DCP identified with LNM includes areas previously implicated in hyperkinetic disorders and highlights the motor thalamus as a common network node. The effects of targeting motor thalamic networks with neuromodulation in DCP should be explored in future trials.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3