国际谵妄病理生理学和电生理学数据共享网络 (iDEPEND)

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引用次数: 0

摘要

在 "大数据 "时代,我们建议采用合作网络的方法来更好地了解谵妄的发病机制,并更快地开发出治疗方法。我们成立了国际谵妄病理生理学与amp; 数据共享电生理学网络(iDEPEND)小组,其主要目的是 "通过电生理学、影像学和生物标记物(包括数据采集、分析和解读)促进谵妄发病机制的研究"。我们最初的重点是电生理学研究,因为我们预计这种方法在增进我们对谵妄的了解方面具有巨大潜力。我们的文章描述了这一原则,并在我们建立主要利益相关者和合作伙伴关系的过程中向更广泛的社区强调了这一努力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
International Delirium Pathophysiology & Electrophysiology Network for Data sharing (iDEPEND)

In an era of ‘big data’, we propose that a collaborative network approach will drive a better understanding of the mechanisms of delirium, and more rapid development of therapies. We have formed the International Delirium Pathophysiology & Electrophysiology Network for Data sharing (iDEPEND) group with a key aim to ‘facilitate the study of delirium pathogenesis with electrophysiology, imaging, and biomarkers including data acquisition, analysis, and interpretation’. Our initial focus is on studies of electrophysiology as we anticipate this methodology has great potential to enhance our understanding of delirium. Our article describes this principle and is used to highlight the endeavour to the wider community as we establish key stakeholders and partnerships.

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来源期刊
BJA open
BJA open Anesthesiology and Pain Medicine
CiteScore
0.60
自引率
0.00%
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0
审稿时长
83 days
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