用于评估多发性硬化症认知功能障碍的欧洲跨文化神经心理学测试套件(CNTB):在机器学习技术的支持下进行认知表型和分类。

IF 2.9 3区 医学 Q2 CLINICAL NEUROLOGY
Alfonso Delgado-Álvarez , Laura Hernández-Lorenzo , T. Rune Nielsen , María Díez-Cirarda , Constanza Cuevas , Paloma Montero-Escribano , Cristina Delgado-Alonso , María Valles-Salgado , María José Gil-Moreno , Jorge Matias-Guiu , Jordi A Matias-Guiu
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引用次数: 0

摘要

背景:欧洲跨文化神经心理测试电池(CNTB)已被建议作为认知评估的综合电池,以减少文化变量的潜在影响。在这项验证研究中,我们旨在根据多发性硬化症认知障碍国际分类标准,评估 CNTB 与 Neuronorma 电池组(NN)相比,在评估多发性硬化症患者(pwMS)时的诊断能力,并开发机器学习(ML)算法,以提高 CNTB 的诊断能力并选择最相关的测试:方法:共招募了 60 名多发性硬化症患者和 60 名健康对照者(HC),他们在性别、年龄和受教育年限方面均无差异。所有参与者都完成了 CNTB 测试,同时还使用 NN、抑郁和疲劳量表对老年痴呆症患者进行了检查。ICCoDiMS 根据 CNTB 分数定义了受损领域和认知表型,并根据-1SD 和-1.5SD 临界分数与 NN 进行了比较。为了选择最相关的测试,对不同的二元分类进行了随机森林(RF)分析:结果:与普通人相比,残疾人在记忆、执行功能、注意力和处理速度等方面的表现较差,影响程度中等偏大,这与他们的认知特征相符。CNTB 和 NN 在受损的领域或认知表型方面没有差异,这突出表明了外显记忆、执行功能、注意力和处理速度测试的作用。RF确定的最相关测试与组间比较一致,比SD截断分数能更好地进行分类:结论:CNTB 是一种有效的认知诊断测试,包括多发性硬化症中最常受损的认知领域的关键测试。使用多重模型技术也可能有助于提高诊断效果,尤其是在一些灵敏度较低的测试中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
European cross-cultural neuropsychological test battery (CNTB) for the assessment of cognitive impairment in multiple sclerosis: Cognitive phenotyping and classification supported by machine learning techniques

Background

The European Cross-Cultural Neuropsychological Test Battery (CNTB) has been proposed as a comprehensive battery for cognitive assessment, reducing the potential impact of cultural variables. In this validation study, we aimed to evaluate the diagnostic capacity of CNTB for the assessment of participants with multiple sclerosis (pwMS) compared to the Neuronorma battery (NN) according to the International Classification of Cognitive Disorders in MS criteria, and to develop machine learning (ML) algorithms to improve the diagnostic capacity of CNTB and to select the most relevant tests.

Methods

Sixty pwMS and 60 healthy controls (HC) with no differences in sex, age, or years of education were enrolled. All participants completed the CNTB and pwMS were also examined with NN, depression, and fatigue scales. Impaired domains and cognitive phenotypes were defined following ICCoDiMS based on CNTB scores and compared to NN, according to -1SD and -1.5SD cutoff scores. To select the most relevant tests, random forest (RF) was performed for different binary classifications.

Results

PwMS showed a lower performance compared to HC with medium-large effect sizes, in episodic memory, executive function, attention, and processing speed, in accordance with their characteristic cognitive profile. There were no differences in impaired domains or cognitive phenotypes between CNTB and NN, highlighting the role of episodic memory, executive function, attention, and processing speed tests. The most relevant tests identified by RF were consistent with inter-group comparisons and allowed a better classification than SD cutoff scores.

Conclusion

CNTB is a valid test for cognitive diagnosis in pwMS, including key tests for the most frequently impaired cognitive domains in MS. The use of ML techniques may also be useful to improve diagnosis, especially in some tests with lower sensitivity.
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来源期刊
CiteScore
5.80
自引率
20.00%
发文量
814
审稿时长
66 days
期刊介绍: Multiple Sclerosis is an area of ever expanding research and escalating publications. Multiple Sclerosis and Related Disorders is a wide ranging international journal supported by key researchers from all neuroscience domains that focus on MS and associated disease of the central nervous system. The primary aim of this new journal is the rapid publication of high quality original research in the field. Important secondary aims will be timely updates and editorials on important scientific and clinical care advances, controversies in the field, and invited opinion articles from current thought leaders on topical issues. One section of the journal will focus on teaching, written to enhance the practice of community and academic neurologists involved in the care of MS patients. Summaries of key articles written for a lay audience will be provided as an on-line resource. A team of four chief editors is supported by leading section editors who will commission and appraise original and review articles concerning: clinical neurology, neuroimaging, neuropathology, neuroepidemiology, therapeutics, genetics / transcriptomics, experimental models, neuroimmunology, biomarkers, neuropsychology, neurorehabilitation, measurement scales, teaching, neuroethics and lay communication.
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