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运动障碍的下一步进展:多动性运动障碍的神经影像学检查方案

Next move in movement disorders: neuroimaging protocols for hyperkinetic movement disorders.

作者信息

Dalenberg Jelle R, Peretti Debora E, Marapin Lenny R, van der Stouwe A M Madelein, Renken Remco J, Tijssen Marina A J

机构信息

Expertise Center Movement Disorders Groningen, University Medical Center Groningen, Groningen, Netherlands.

Department of Neurology, University of Groningen, Groningen, Netherlands.

出版信息

Front Hum Neurosci. 2024 Aug 30;18:1406786. doi: 10.3389/fnhum.2024.1406786. eCollection 2024.

DOI:10.3389/fnhum.2024.1406786
PMID:39281368
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11392759/
Abstract

INTRODUCTION

The Next Move in Movement Disorders (NEMO) study is an initiative aimed at advancing our understanding and the classification of hyperkinetic movement disorders, including tremor, myoclonus, dystonia, and myoclonus-dystonia. The study has two main objectives: (a) to develop a computer-aided tool for precise and consistent classification of these movement disorder phenotypes, and (b) to deepen our understanding of brain pathophysiology through advanced neuroimaging techniques. This protocol review details the neuroimaging data acquisition and preprocessing procedures employed by the NEMO team to achieve these goals.

METHODS AND ANALYSIS

To meet the study's objectives, NEMO utilizes multiple imaging techniques, including T1-weighted structural MRI, resting-state fMRI, motor task fMRI, and 18F-FDG PET scans. We will outline our efforts over the past 4 years to enhance the quality of our collected data, and address challenges such as head movements during image acquisition, choosing acquisition parameters and constructing data preprocessing pipelines. This study is the first to employ these neuroimaging modalities in a standardized approach contributing to more uniformity in the analyses of future studies comparing these patient groups. The data collected will contribute to the development of a machine learning-based classification tool and improve our understanding of disorder-specific neurobiological factors.

ETHICS AND DISSEMINATION

Ethical approval has been obtained from the relevant local ethics committee. The NEMO study is designed to pioneer the application of machine learning of movement disorders. We expect to publish articles in multiple related fields of research and patients will be informed of important results via patient associations and press releases.

摘要

简介

运动障碍的下一步行动(NEMO)研究是一项旨在增进我们对包括震颤、肌阵挛、肌张力障碍和肌阵挛性肌张力障碍在内的多动性运动障碍的理解和分类的倡议。该研究有两个主要目标:(a)开发一种计算机辅助工具,用于对这些运动障碍表型进行精确且一致的分类;(b)通过先进的神经成像技术加深我们对脑病理生理学的理解。本方案综述详细介绍了NEMO团队为实现这些目标所采用的神经成像数据采集和预处理程序。

方法与分析

为实现研究目标,NEMO采用了多种成像技术,包括T1加权结构磁共振成像、静息态功能磁共振成像、运动任务功能磁共振成像和18F-氟代脱氧葡萄糖正电子发射断层扫描。我们将概述过去4年为提高所收集数据质量所做的努力,并应对诸如图像采集期间的头部运动、选择采集参数以及构建数据预处理流程等挑战。本研究首次以标准化方法采用这些神经成像模态,有助于在未来比较这些患者群体的研究分析中实现更高的一致性。所收集的数据将有助于开发基于机器学习的分类工具,并增进我们对特定疾病神经生物学因素的理解。

伦理与传播

已获得相关当地伦理委员会的伦理批准。NEMO研究旨在开创运动障碍机器学习的应用。我们期望在多个相关研究领域发表文章,并将通过患者协会和新闻稿向患者通报重要结果。

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PET-BIDS, an extension to the brain imaging data structure for positron emission tomography.PET-BIDS,正电子发射断层扫描脑成像数据结构的扩展。
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