Advanced brain diffusion MRI and image texture measures have the potential to predict multi-domain functional outcomes in multiple sclerosis

IF 2.3 4区医学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of Neuroscience Methods Pub Date : 2025-08-29 DOI:10.1016/j.jneumeth.2025.110562

Olayinka Oladosu , Yunyan Zhang

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引用次数: 0

Abstract

Background

Multiple sclerosis (MS) causes diverse functional impairments that require early accurate characterization, but pertinent methods are scarce. This study aimed to develop new imaging-driven approaches for predicting MS functions.

New method

19 women with MS [10 relapsing-remitting (RRMS) and 9 secondary progressive (SPMS) subtypes] and 19 matched controls were examined including 3 T imaging. Advanced measures of nerve tract integrity were derived using diffusion MRI and anatomical MRI texture analysis with phase congruency, respectively. Imaging analysis focused on three tract regions critical in MS: the corpus callosum, corticospinal tracts, and optic radiations. Top-ranked tract measures sensitive to MS severity were employed to predict physical, neurocognitive, and affective functions facilitated by Ridge regression.

Results

Top predictors included diffusion apparent fiber density and fractional anisotropy, and phase congruency measures across tracts. The predictions were mostly strong for physical functions including Timed 25-Foot walk, Nine-Hole Peg Test, and neurological disability, strong-to-moderate for neurocognitive functions led by the symbol digit modality test, and relatively weak for affective functions. Further, the normal-appearing white matter (NAWM) models were superior or similar to NAWM+Lesion models based on either imaging type, and the best phase congruency models outperformed the best diffusion-based models.

Comparison with existing methods

Few studies attempted to derive novel measures of nerve integrity using clinical MRI, and virtually no study modelled the utility of these measures for predicting multi-domain MS functions.

Conclusion

Advanced imaging models could predict MS functions for early intervention, especially phase congruency NAWM models for physical functions.

查看原文本刊更多论文

先进的脑扩散MRI和图像纹理测量有可能预测多发性硬化症的多域功能结果。

背景：多发性硬化症（MS）导致多种功能损伤，需要早期准确的表征，但相关的方法很少。本研究旨在开发新的成像驱动方法来预测MS功能。新方法：对19名MS患者[10种复发缓解型（RRMS）和9种继发性进展型（SPMS）亚型]和19名匹配的对照组进行3T显像检查。神经束完整性的高级测量方法分别采用弥散性MRI和相一致性解剖性MRI结构分析。影像学分析集中在MS中三个关键的束区：胼胝体、皮质脊髓束和视光辐射。采用对MS严重程度敏感的顶级通道测量来预测Ridge回归促进的身体，神经认知和情感功能。结果：最重要的预测因子包括扩散表观纤维密度和分数各向异性，以及跨束的相一致性测量。对生理功能的预测主要是强的，包括计时25英尺步行、九洞Peg测试和神经功能障碍，对符号数字模态测试领导的神经认知功能的预测是强到中度的，对情感功能的预测相对较弱。此外，正常出现的白质（NAWM）模型在任何影像学类型上都优于或类似于NAWM+病变模型，并且最佳相位一致性模型优于最佳基于弥散的模型。与现有方法的比较：很少有研究试图利用临床MRI得出新的神经完整性测量方法，而且几乎没有研究模拟这些测量方法在预测多域MS功能方面的效用。结论：先进的影像学模型可以预测早期干预的MS功能，特别是相一致性NAWM模型可以预测物理功能。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Neuroscience Methods 医学-神经科学

CiteScore

7.10

自引率

3.30%

发文量

226

审稿时长

52 days

期刊介绍： The Journal of Neuroscience Methods publishes papers that describe new methods that are specifically for neuroscience research conducted in invertebrates, vertebrates or in man. Major methodological improvements or important refinements of established neuroscience methods are also considered for publication. The Journal''s Scope includes all aspects of contemporary neuroscience research, including anatomical, behavioural, biochemical, cellular, computational, molecular, invasive and non-invasive imaging, optogenetic, and physiological research investigations.