Valentine School of Nursing at Saint Louis University, Saint Louis, MO, USA.
Seahorn Advisors, Boston, MA, USA.
Biol Res Nurs. 2024 Jan;26(1):101-114. doi: 10.1177/10998004231194954. Epub 2023 Aug 9.
The purpose of this literature review article is to provide a synthesis of recent research focused on the use of 3 techniques to evaluate MS-related fatigue: electroencephalography [EEG], transcranial direct-current stimulation (tDSC), and transcranial- magnetic stimulation (TMS). We performed a literature search in the Cumulative Index to Nursing and Allied Health Literature (CINAHL, EBSCOhost), MEDLINE (OVID), APA PsycInfo (OVID), Scopus (Elsevier), and Web of Science (Clarivate) databases, limited to 2015 and after. Our review revealed that fatigue in MS patients can be quantified and predicted using electrophysiological techniques. Such techniques, which yield objective data, are historically assessed in relation to subjective data, or perceived fatigue. We identified studies using EEG, TMS, and/or tDCS to study fatigue in people with MS. In total, 220 records were identified with 19 studies meeting inclusion criteria. Quality appraisal revealed that the level of evidence was generally graded "good". Despite the heterogenous nature of reviewed the studies and selected the varied self-report fatigue measures, our literature synthesis suggests promise for the use of EEG, TMS, and/or tDCS approaches in more accurately assessing fatigue in people with MS. Further research is needed in this arena.
本文旨在对最近的研究进行综述,重点关注使用 3 种技术评估 MS 相关疲劳:脑电图(EEG)、经颅直流电刺激(tDCS)和经颅磁刺激(TMS)。我们在 CINAHL(EBSCOhost)、MEDLINE(OVID)、APA PsycInfo(OVID)、Scopus(Elsevier)和 Web of Science(Clarivate)数据库中进行了文献检索,仅限制在 2015 年及以后。我们的综述表明,使用电生理技术可以量化和预测 MS 患者的疲劳。这些技术可以提供客观数据,历史上与主观数据(或感知疲劳)相关联进行评估。我们确定了使用 EEG、TMS 和/或 tDCS 研究 MS 患者疲劳的研究。共确定了 220 份记录,其中 19 项研究符合纳入标准。质量评估显示,证据水平总体上被评为“良好”。尽管研究的异质性和所选的各种自我报告疲劳测量方法不同,但我们的文献综述表明,EEG、TMS 和/或 tDCS 方法在更准确地评估 MS 患者的疲劳方面具有很大的潜力。在这一领域还需要进一步的研究。