Distinguishing Alzheimer's disease from other dementias using pattern profile analysis in the Meyers Neuropsychological Battery: An exploratory study.

IF 1.4 4区心理学 Q4 CLINICAL NEUROLOGY

Applied Neuropsychology-Adult Pub Date : 2025-07-01 Epub Date: 2023-07-21 DOI:10.1080/23279095.2023.2236742

Adam L Piccolino, Ava R Piccolino, Sophia G Piccolino

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引用次数: 0

Abstract

Objective: This exploratory study aimed to assess the efficacy of pattern-matching statistical methods within the Meyers Neuropsychological Battery (MNB). It compared neuropsychological test data profiles of Alzheimer's disease (AD) patients from three independent samples against four MNB dementia groups: MNB-AD, MNB-Vascular Dementia (VaD), MNB-Dementia with Lewy bodies (DLB), and MNB-Parkinson's disease dementia (PDD).

Materials and methods: Three AD-independent samples completed either the MNB (referred to as I-MNB-AD), Dementia Rating Scale-2 with additional testing (denoted as DRS-Plus-AD), or the Repeatable Battery for the Assessment of Neuropsychological Status (designated as RBANS-AD). Test data profiles were cross-validated with four MNB dementia comparison group datasets. Statistical methods included Pearson correlation, Kullback-Leibler (KL) divergence, pooled effect size (Cohen's d), Configuration, and MNB Code.

Results: Classification accuracy ranged from 40% (Pearson r) to 88% (Cohen's d) in the I-MNB-AD sample, 47% (Cohen's d) to 93% (KL) in the DRS-Plus-AD sample, and 47% (Pearson r) to 78% (Configuration) in the RBANS-AD sample. Some methods showed limited effectiveness depending on the sample and comparison group analyzed, while others demonstrated strong performance. Using a simple majority count of agreement, classification rates for selecting the MNB-AD comparison group were 80% (I-MNB-AD), 85% (DRS-Plus-AD), and 66% (RBANS-AD).

Conclusions: This exploratory study demonstrates that specific statistical methods employed in the MNB for pattern-matching analysis effectively differentiated neuropsychological profiles of individuals with AD from other types of dementia, contributing to improved diagnostic precision. The findings underscore the potential advantages of pattern-matching analysis, advocating for further research to validate and refine its application.

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在Meyers神经心理学电池中使用模式分析来区分阿尔茨海默病与其他痴呆症：一项探索性研究。

目的：本探索性研究旨在评估模式匹配统计方法在Meyers神经心理电池（MNB）中的有效性。该研究将来自三个独立样本的阿尔茨海默病（AD）患者的神经心理测试数据与四个MNB痴呆组进行了比较：MNB-AD、MNB-血管性痴呆（VaD）、MNB-路易体痴呆（DLB）和MNB-帕金森病痴呆（PDD）。材料和方法：三个与ad无关的样本完成了MNB（称为I-MNB-AD），痴呆评定量表-2附带测试（称为DRS-Plus-AD）或神经心理状态评估可重复电池（称为RBANS-AD）。测试数据概要与四个MNB痴呆对照组数据集交叉验证。统计方法包括Pearson相关、Kullback-Leibler （KL）散度、汇集效应大小（Cohen’s d）、配置和MNB代码。结果：I-MNB-AD样本的分类准确率为40% （Pearson r）至88% (Cohen’s d)， drs - + ad样本的分类准确率为47% （Cohen’s d）至93% (KL)， rban - ad样本的分类准确率为47% （Pearson r）至78% （Configuration）。根据分析的样本和对照组，一些方法的有效性有限，而另一些方法则表现出强大的性能。使用简单多数计数法，选择MNB-AD对照组的分类率分别为80% （I-MNB-AD）、85% （DRS-Plus-AD）和66% （RBANS-AD）。结论：本探索性研究表明，在MNB中使用特定的统计方法进行模式匹配分析，可以有效地将AD患者的神经心理特征与其他类型的痴呆区分开来，有助于提高诊断精度。这些发现强调了模式匹配分析的潜在优势，提倡进一步研究以验证和完善其应用。

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来源期刊

Applied Neuropsychology-Adult CLINICAL NEUROLOGY-PSYCHOLOGY

CiteScore

4.50

自引率

11.80%

发文量

134

期刊介绍： pplied Neuropsychology-Adult publishes clinical neuropsychological articles concerning assessment, brain functioning and neuroimaging, neuropsychological treatment, and rehabilitation in adults. Full-length articles and brief communications are included. Case studies of adult patients carefully assessing the nature, course, or treatment of clinical neuropsychological dysfunctions in the context of scientific literature, are suitable. Review manuscripts addressing critical issues are encouraged. Preference is given to papers of clinical relevance to others in the field. All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further considerations are peer reviewed by independent, anonymous expert referees. All peer review is single-blind and submission is online via ScholarOne Manuscripts.