In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?
In search of a composite biomarker for chronic pain by way of EEG and machine learning: where do we currently stand?
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DOI：
10.3389/fnins.2023.1186418
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发表时间：
2023
影响因子：
4.3
通讯作者：
Wang, Jing
中科院分区：
文献类型：
--
作者：
Rockholt, Mika M.;Kenefati, George;Doan, Lisa V.;Chen, Zhe Sage;Wang, Jing
关键词：
机器学习正在成为临床研究中常规数据分析中越来越常见的组成部分。过去十年的疼痛研究见证了人类神经成像和机器学习的巨大进步。每一项发现都让疼痛研究界离揭示慢性疼痛的基本机制又近了一步，同时提出了神经生理学生物标志物。然而，由于慢性疼痛在大脑中的多维表征，要完全理解慢性疼痛仍然具有挑战性。通过利用脑电图 (EEG) 等经济有效的非侵入性成像技术，并使用先进的分析方法分析结果数据，我们有机会更好地理解和识别与慢性疼痛的处理和感知相关的特定神经机制。这篇叙述性文献综述总结了过去十年的研究，通过协同临床和计算视角，描述了脑电图作为慢性疼痛潜在生物标志物的效用。
Machine learning is becoming an increasingly common component of routine data analyses in clinical research. The past decade in pain research has witnessed great advances in human neuroimaging and machine learning. With each finding, the pain research community takes one step closer to uncovering fundamental mechanisms underlying chronic pain and at the same time proposing neurophysiological biomarkers. However, it remains challenging to fully understand chronic pain due to its multidimensional representations within the brain. By utilizing cost-effective and non-invasive imaging techniques such as electroencephalography (EEG) and analyzing the resulting data with advanced analytic methods, we have the opportunity to better understand and identify specific neural mechanisms associated with the processing and perception of chronic pain. This narrative literature review summarizes studies from the last decade describing the utility of EEG as a potential biomarker for chronic pain by synergizing clinical and computational perspectives.
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影响因子：
4.3
作者：
Baroni A;Severini G;Straudi S;Buja S;Borsato S;Basaglia N
通讯作者：
Basaglia N
影响因子：
2
作者：
Chang, PF;Arendt-Nielsen, L;Chen, ACN
通讯作者：
Chen, ACN
影响因子：
14.9
作者：
Chen, JC;Yao, K;Hudson, RE
通讯作者：
Hudson, RE
影响因子：
5.7
作者：
Brodersen, Kay H.;Wiech, Katja;Lomakina, Ekaterina I.;Lin, Chia-shu;Buhmann, Joachim M.;Bingel, Ulrike;Ploner, Markus;Stephan, Klaas Enno;Tracey, Irene
通讯作者：
Tracey, Irene
DOI：
10.1016/j.jpain.2018.09.004
发表时间：
2019-03
期刊：
The journal of pain
影响因子：
--
作者：
Ahn S;Prim JH;Alexander ML;McCulloch KL;Fröhlich F
通讯作者：
Fröhlich F