Harmonized Acquisition of Connectome MRI and Clinical Data for Stroke, Parkinson's Disease and Glioma: Delphi-Derived Protocol Recommendations by the European Academy of Neurology

IF 4.3 2区 医学 Q1 CLINICAL NEUROLOGY
Thomas Berger, Lorenzo Pini, Alessandro Salvalaggio, Simone Cauzzo, Christine Klein, Maria Lolich, Alberto Picca, Dauren Ramankulov, Maria A. Rocca, Roberta Rudà, Alessandro Sodero, Alessandro Tessitore, Thomas Truelsen, Roland Wiest, Gereon R. Fink, Elena Moro, Philippe Ryvlin, Maurizio Corbetta
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引用次数: 0

Abstract

Introduction and Aims

The European Academy of Neurology (EAN) joined the Horizon Europe EBRAINS 2.0 research consortium to co-develop recommendations for prospective acquisition and integration of clinical and research core multi-scale human datasets for connectome analysis in stroke, Parkinson's disease (PD), and glioma (GBM).

Methods

Using an online Delphi survey method, expert consensus was sought on 28 statements for each of the following protocols in stroke, PD and GBM: clinical core/research brain MRI, minimum/extended clinical outcomes, minimum/extended cognition assessments, case report forms (CRF). The level of agreement for each statement was predefined as ≥ 80%. 536 experts from four EAN Scientific Panels (SP) (SP Neuro-oncology [n = 70], SP Movement Disorders [n = 206], SP Neuroimaging [n = 112], SP Stroke [n = 148]) were invited to participate in this Delphi process.

Results

Two Delphi voting rounds were conducted to reach the predefined level of agreement (≥ 80%; range: 80.49%–100%) for all items to establish consensus on protocol recommendations for stroke, PD and GBM. Cumulative response rate from SP experts was 25% (n = 135 from 30 European countries) for the first, and 32% (n = 173 from 35 European countries) for the second Delphi voting round.

Discussion

These consented protocols provide a pragmatic framework for harmonizing multi-scale data acquisition for connectome analyses in stroke, PD, and GBM. Further, these protocols allow future modular extensions for other datasets, e.g., neurophysiological data or non-imaging biomarkers, and serve as a role model for brain network analyses in other neurological disorders.

脑卒中、帕金森病和神经胶质瘤的连接体MRI和临床数据的统一获取:欧洲神经病学学会的德尔菲衍生方案建议。
简介和目标:欧洲神经病学学会(EAN)加入Horizon Europe EBRAINS 2.0研究联盟,共同开发用于脑卒中、帕金森病(PD)和胶质瘤(GBM)连接组分析的临床和研究核心多尺度人类数据集的前瞻性获取和整合建议。方法:采用在线德尔菲调查法,对卒中、PD和GBM的临床核心/研究脑MRI、最小/扩展临床结果、最小/扩展认知评估、病例报告表格(CRF)等28项方案寻求专家共识。每个陈述的一致性水平预定义为≥80%。来自四个EAN科学小组(SP) (SP神经肿瘤学[n = 70], SP运动障碍[n = 206], SP神经影像学[n = 112], SP卒中[n = 148])的536名专家被邀请参加了这个德尔菲过程。结果:对所有项目进行了两轮德尔菲投票,以达到预定义的一致性水平(≥80%;范围:80.49%-100%),从而就卒中、PD和GBM的方案建议建立共识。第一轮的累积回复率为25%(来自30个欧洲国家的135名专家),第二轮的累积回复率为32%(来自35个欧洲国家的173名专家)。讨论:这些协议为协调脑卒中、PD和GBM连接体分析的多尺度数据采集提供了一个实用的框架。此外,这些协议允许未来对其他数据集进行模块化扩展,例如,神经生理学数据或非成像生物标志物,并作为其他神经系统疾病的脑网络分析的榜样。
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来源期刊
European Journal of Neurology
European Journal of Neurology 医学-临床神经学
CiteScore
9.70
自引率
2.00%
发文量
418
审稿时长
1 months
期刊介绍: The European Journal of Neurology is the official journal of the European Academy of Neurology and covers all areas of clinical and basic research in neurology, including pre-clinical research of immediate translational value for new potential treatments. Emphasis is placed on major diseases of large clinical and socio-economic importance (dementia, stroke, epilepsy, headache, multiple sclerosis, movement disorders, and infectious diseases).
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