丘脑网络可控性预测多发性硬化症的认知障碍

IF 3.5 2区 医学 Q1 NEUROIMAGING
Yuping Yang, Anna Woollams, Ilona Lipp, Zhizheng Zhuo, Marta Czime Litwińczuk, Valentina Tomassini, Yaou Liu, Nelson J. Trujillo-Barreto, Nils Muhlert
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引用次数: 0

摘要

最近的研究表明,患有多发性硬化症(MS)和认知障碍的个体在大脑网络活动中表现出更费力和更低效率的转换。先前的研究进一步强调了特定区域,特别是丘脑,对疾病相关损伤的脆弱性增加。本研究探讨多发性硬化症是否影响特定大脑区域的可控性,以驱动整个大脑的网络活动转变,并研究这些变化与患者认知障碍之间的关系。102名MS和27名健康对照采集静息状态功能MRI和神经心理学数据。进行功能网络可控性分析,以量化特定区域如何影响大脑活动模式或状态之间的转换。在主数据集中评估疾病可控性的变化,然后在95名MS和45名健康对照的独立数据集中进行复制。然后使用可控性指标来区分MS和健康对照,并预测认知状态。在皮层下网络中观察到ms特异性可控性变化,特别是丘脑,这在复制数据集中得到了进一步证实。认知障碍患者在丘脑引导大脑向难以到达的状态转变方面表现出更大的困难,这通常与高能量消耗的认知功能有关。丘脑网络可控性在区分MS与健康对照(AUC = 88.3%)和预测MS认知状态(AUC = 80.7%)方面比丘脑体积更有效。这项研究建立在先前研究的基础上,强调了MS的早期丘脑损伤,旨在证明这种损伤如何破坏整个大脑的活动转换,并可能预测认知缺陷。我们的研究结果表明,在多发性硬化症中,丘脑促进高能量消耗认知功能所必需的更广泛的大脑活动转变的能力下降,这意味着将多发性硬化症中丘脑功能变化与认知障碍联系起来的潜在病理机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Thalamic Network Controllability Predicts Cognitive Impairment in Multiple Sclerosis

Thalamic Network Controllability Predicts Cognitive Impairment in Multiple Sclerosis

Recent research suggests that individuals with multiple sclerosis (MS) and cognitive impairment exhibit more effortful and less efficient transitions in brain network activity. Previous studies further highlight the increased vulnerability of specific regions, particularly the thalamus, to disease-related damage. This study investigates whether MS affects the controllability of specific brain regions in driving network activity transitions across the brain and examines the relationship between these changes and cognitive impairment in patients. Resting-state functional MRI and neuropsychological data were collected from 102 MS and 27 healthy controls. Functional network controllability analysis was performed to quantify how specific regions influence transitions between brain activity patterns or states. Disease alterations in controllability were assessed in the main dataset and then replicated in an independent dataset of 95 MS and 45 healthy controls. Controllability metrics were then used to distinguish MS from healthy controls and predict cognitive status. MS-specific controllability changes were observed in the subcortical network, particularly the thalamus, which were further confirmed in the replication dataset. Cognitively impaired patients showed significantly greater difficulty in the thalamus steering brain transitions towards difficult-to-reach states, which are typically associated with high-energy-cost cognitive functions. Thalamic network controllability proved more effective than thalamic volume in distinguishing MS from healthy controls (AUC = 88.3%), and in predicting cognitive status in MS (AUC = 80.7%). This study builds on previous research highlighting early thalamic damage in MS, aiming to demonstrate how this damage disrupts activity transitions across the cerebrum and may predict cognitive deficits. Our findings suggest that the thalamus in MS becomes less capable of facilitating broader brain activity transitions essential for high-energy-cost cognitive functions, implying a potential pathological mechanism that links thalamic functional changes to cognitive impairment in MS.

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来源期刊
Human Brain Mapping
Human Brain Mapping 医学-核医学
CiteScore
8.30
自引率
6.20%
发文量
401
审稿时长
3-6 weeks
期刊介绍: Human Brain Mapping publishes peer-reviewed basic, clinical, technical, and theoretical research in the interdisciplinary and rapidly expanding field of human brain mapping. The journal features research derived from non-invasive brain imaging modalities used to explore the spatial and temporal organization of the neural systems supporting human behavior. Imaging modalities of interest include positron emission tomography, event-related potentials, electro-and magnetoencephalography, magnetic resonance imaging, and single-photon emission tomography. Brain mapping research in both normal and clinical populations is encouraged. Article formats include Research Articles, Review Articles, Clinical Case Studies, and Technique, as well as Technological Developments, Theoretical Articles, and Synthetic Reviews. Technical advances, such as novel brain imaging methods, analyses for detecting or localizing neural activity, synergistic uses of multiple imaging modalities, and strategies for the design of behavioral paradigms and neural-systems modeling are of particular interest. The journal endorses the propagation of methodological standards and encourages database development in the field of human brain mapping.
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