Suppr超能文献

基于计算机的简要信息处理测量与儿科发病多发性硬化症的白质完整性有关。

Brief Computer-Based Information Processing Measures are Linked to White Matter Integrity in Pediatric-Onset Multiple Sclerosis.

机构信息

Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY.

Department of Neurology, New York University Langone Medical Center, NYU Langone Health, New York, NY.

出版信息

J Neuroimaging. 2019 Jan;29(1):140-150. doi: 10.1111/jon.12566. Epub 2018 Oct 4.

Abstract

BACKGROUND AND PURPOSE

Pediatric-onset multiple sclerosis (POMS) is a demyelinating disorder with unique clinical challenges. A brief computer-administered cognitive screening battery measuring processing speed (Cogstate) and the Brief International Cognitive Assessment in MS (BICAMS) detect cognitive impairment in POMS. The neuroanatomic correlates of these deficits are incompletely understood. The purpose of this study is to define the neuroanatomic underpinnings of deficits identified with cognitive screening batteries in POMS.

METHODS

Participants with POMS and age-matched healthy controls (HCs) were screened with Cogstate and BICAMS. Diffusion tensor imaging assessed region-wise and tractography-based fractional anisotropy (FA).

RESULTS

The POMS (n = 15) and HC (n = 21) groups were matched on age (mean ages 17.9 ± 3.2 vs. 17.8 ± 3.3 years, respectively) and on an estimate of general intellectual functioning. The Cogstate composite revealed significant slowing in POMS relative to HCs (P = .004), but the BICAMS composite did not significantly distinguish the groups (P = .10). The Cogstate composite showed moderate-to-strong correlations with regional FA (r = -.67 to -.82) and significantly associated with uncinate fasciculus FA following multiple comparisons correction (P = .002) in POMS. However, the BICAMS composite measure showed only weak-to-moderate correlations with FA in POMS (r = -.19 to -.57), with none surviving multiple comparisons correction.

CONCLUSIONS

Computer-administered measures of cognitive processing are particularly sensitive in POMS and are closely linked to white matter FA.

摘要

背景与目的

小儿多发性硬化症(POMS)是一种具有独特临床挑战的脱髓鞘疾病。一种简短的计算机管理认知筛查测试(Cogstate)和多发性硬化症的简短国际认知评估(BICAMS)可以检测到 POMS 的认知障碍。这些缺陷的神经解剖学相关性尚不完全清楚。本研究的目的是确定 POMS 认知筛查测试中发现的缺陷的神经解剖学基础。

方法

使用 Cogstate 和 BICAMS 对 POMS 患者和年龄匹配的健康对照组(HC)进行筛查。弥散张量成像评估了区域和基于轨迹的各向异性分数(FA)。

结果

POMS(n = 15)和 HC(n = 21)组在年龄(平均年龄分别为 17.9 ± 3.2 岁和 17.8 ± 3.3 岁)和一般智力功能估计值上相匹配。Cogstate 综合评分显示 POMS 相对于 HCs 明显减慢(P =.004),但 BICAMS 综合评分并未显著区分两组(P =.10)。Cogstate 综合评分与区域 FA 呈中度至高度相关(r = -.67 至 -.82),在经过多次比较校正后,与 POMS 中的钩束 FA 显著相关(P =.002)。然而,BICAMS 综合评分仅与 POMS 中的 FA 呈弱至中度相关(r = -.19 至 -.57),在经过多次比较校正后,没有一个相关关系具有统计学意义。

结论

计算机管理的认知处理测量在 POMS 中特别敏感,与白质 FA 密切相关。

相似文献

4
Thalamic-hippocampal-prefrontal disruption in relapsing-remitting multiple sclerosis.
Neuroimage Clin. 2014 Dec 27;8:440-7. doi: 10.1016/j.nicl.2014.12.015. eCollection 2015.
8
Brief international cognitive assessment for MS (BICAMS) and global brain volumes in early stages of MS - A longitudinal correlation study.
Mult Scler Relat Disord. 2023 Jan;69:104398. doi: 10.1016/j.msard.2022.104398. Epub 2022 Nov 5.

引用本文的文献

1
Increased intraindividual variability (IIV) in reaction time is the earliest indicator of cognitive change in MS: A two-year observational study.
Int J Clin Health Psychol. 2024 Jul-Sep;24(3):100486. doi: 10.1016/j.ijchp.2024.100486. Epub 2024 Jul 13.
3
Cognitive Assessment and Rehabilitation for Pediatric-Onset Multiple Sclerosis: A Scoping Review.
Children (Basel). 2020 Oct 15;7(10):183. doi: 10.3390/children7100183.

本文引用的文献

1
White Matter Plasticity in the Adult Brain.
Neuron. 2017 Dec 20;96(6):1239-1251. doi: 10.1016/j.neuron.2017.11.026.
3
Feasibility study of TSPO quantification with [18F]FEPPA using population-based input function.
PLoS One. 2017 May 17;12(5):e0177785. doi: 10.1371/journal.pone.0177785. eCollection 2017.
5
Evaluation of Field Map and Nonlinear Registration Methods for Correction of Susceptibility Artifacts in Diffusion MRI.
Front Neuroinform. 2017 Feb 21;11:17. doi: 10.3389/fninf.2017.00017. eCollection 2017.
6
Pediatric multiple sclerosis: Cognition and mood.
Neurology. 2016 Aug 30;87(9 Suppl 2):S82-7. doi: 10.1212/WNL.0000000000002883.
7
Alterations in Functional and Structural Connectivity in Pediatric-Onset Multiple Sclerosis.
PLoS One. 2016 Jan 5;11(1):e0145906. doi: 10.1371/journal.pone.0145906. eCollection 2016.
9
Diffusion tensor magnetic resonance imaging in very early onset pediatric multiple sclerosis.
Mult Scler. 2016 Apr;22(5):620-7. doi: 10.1177/1352458515596600. Epub 2015 Jul 21.
10
The nature and rate of cognitive maturation from late childhood to adulthood.
Front Psychol. 2015 May 27;6:704. doi: 10.3389/fpsyg.2015.00704. eCollection 2015.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验