国际癫痫认知障碍分类(IC-CoDE)的开发与应用:颞叶癫痫成人多中心研究的初步结果。

IF 2.6 3区 心理学 Q3 NEUROSCIENCES
Neuropsychology Pub Date : 2023-03-01 Epub Date: 2022-01-27 DOI:10.1037/neu0000792
Carrie R McDonald, Robyn M Busch, Anny Reyes, Kayela Arrotta, William Barr, Cady Block, Erik Hessen, David W Loring, Daniel L Drane, Marla J Hamberger, Sarah J Wilson, Sallie Baxendale, Bruce P Hermann
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引用次数: 0

摘要

[更正通知:神经心理学》(Neuropsychology)杂志于 2022 年 9 月 15 日在线报道了本文的勘误(参见记录 2023-01997-001)。原文中的图 2 有一处错误。在图左上方的方框中,第四条解释错误地写道:"普遍损伤 = 至少一次测试 < -1.0 或三个或更多领域中的 -1.5SD"。正确的措辞是:"全身性障碍 = 在三个或更多领域的每个领域中,至少有两项测试 < -1.0 或 -1.5SD" 。本文所有版本均已更正]。目的:描述癫痫研究中基于共识、经验驱动的认知诊断方法--癫痫认知障碍国际分类(IC-CoDE)的开发和应用,并评估IC-CoDE在一个大型、多中心颞叶癫痫(TLE)患者样本中产生可定义的、稳定的认知表型的能力:方法:七个癫痫中心共 2485 名颞叶癫痫患者的神经心理学数据。根据五个认知领域(语言、记忆、执行功能、注意力/处理速度和视觉空间能力)内的常用测试,采用两种损伤阈值(低于常模平均值≤1.0和≤1.5个标准差)确定损伤模式。使用 IC-CoDE 得出各样本的认知表型,并与现有研究中报告的表型分布进行比较:结果:语言测试的受损率最高,其次是记忆、执行功能、注意力/处理速度和视觉空间能力。采用不同的损伤操作定义(≤ 1.0 和 ≤ 1.5 SD)应用 IC-CoDE 得出的认知表型分布如下:认知完好(30%-50%)、单域(26%-29%)、双域(14%-19%)和泛化(10%-22%)损伤。应用≤1.5分界线得出的表型分布在不同队列中是一致的,并且接近于之前研究中使用数据驱动方法得出的分布:IC-CoDE是用于协调癫痫研究中认知诊断的分类系统的首次迭代,该系统可适用于各种神经心理学测试和TLE队列。这项针对TLE的原理验证研究为加强全球研究合作、加速癫痫科学发现提供了一条前景广阔的道路。(PsycInfo Database Record (c) 2023 APA, 版权所有)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and application of the International Classification of Cognitive Disorders in Epilepsy (IC-CoDE): Initial results from a multi-center study of adults with temporal lobe epilepsy.

[Correction Notice: An Erratum for this article was reported online in Neuropsychology on Sep 15 2022 (see record 2023-01997-001). In the original article, there was an error in Figure 2. In the box at the top left of the figure, the fourth explanation incorrectly stated, "Generalized impairment = At least one test < -1.0 or -1.5SD in three or more domains." The correct wording is "Generalized impairment = At least two tests < -1.0 or -1.5SD in each of three or more domains." All versions of this article have been corrected.] Objective: To describe the development and application of a consensus-based, empirically driven approach to cognitive diagnostics in epilepsy research-The International Classification of Cognitive Disorders in Epilepsy (IC-CoDE) and to assess the ability of the IC-CoDE to produce definable and stable cognitive phenotypes in a large, multi-center temporal lobe epilepsy (TLE) patient sample.

Method: Neuropsychological data were available for a diverse cohort of 2,485 patients with TLE across seven epilepsy centers. Patterns of impairment were determined based on commonly used tests within five cognitive domains (language, memory, executive functioning, attention/processing speed, and visuospatial ability) using two impairment thresholds (≤1.0 and ≤1.5 standard deviations below the normative mean). Cognitive phenotypes were derived across samples using the IC-CoDE and compared to distributions of phenotypes reported in existing studies.

Results: Impairment rates were highest on tests of language, followed by memory, executive functioning, attention/processing speed, and visuospatial ability. Application of the IC-CoDE using varying operational definitions of impairment (≤ 1.0 and ≤ 1.5 SD) produced cognitive phenotypes with the following distribution: cognitively intact (30%-50%), single-domain (26%-29%), bi-domain (14%-19%), and generalized (10%-22%) impairment. Application of the ≤ 1.5 cutoff produced a distribution of phenotypes that was consistent across cohorts and approximated the distribution produced using data-driven approaches in prior studies.

Conclusions: The IC-CoDE is the first iteration of a classification system for harmonizing cognitive diagnostics in epilepsy research that can be applied across neuropsychological tests and TLE cohorts. This proof-of-principle study in TLE offers a promising path for enhancing research collaborations globally and accelerating scientific discoveries in epilepsy. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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来源期刊
Neuropsychology
Neuropsychology 医学-神经科学
CiteScore
4.10
自引率
4.20%
发文量
132
审稿时长
6-12 weeks
期刊介绍: Neuropsychology publishes original, empirical research; systematic reviews and meta-analyses; and theoretical articles on the relation between brain and human cognitive, emotional, and behavioral function.
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