白质高密度情况下上肢精细运动功能的特征:一项针对老年人的 7T 磁共振成像横断面研究

IF 3.4 2区 医学 Q2 NEUROIMAGING Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103569
Riccardo Iandolo , Esin Avci , Giulia Bommarito , Ioanna Sandvig , Gitta Rohweder , Axel Sandvig
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引用次数: 0

摘要

背景白质高密度(WMH)是老龄化脑部研究中普遍存在的影像学发现。关于白质高密度与运动功能障碍相关性的研究大多集中在下肢功能方面,而对上肢功能的研究还需进一步深入。不同程度的 WMH 负荷如何影响上肢运动表现过程中的激活网络,这有助于进一步了解 WMH 病理生理学的复杂机制及其与衰老和神经系统疾病过程的相互作用。所有受试者均接受了超高场 7T 磁共振成像,包括结构和手指敲击任务-磁共振成像。首先,我们量化了 WMH 病变负荷及其空间分布。其次,我们根据受试者的脑室周围和深部 WMH 负荷对其进行了数据驱动的分层。第三,我们研究了各组受试者不同脑区的神经招募分布以及通过 BOLD 信号变化评估的相应活动。我们根据 WMH 的位置、数量和体积将其分为轻度、中度和重度三类。最后,我们探讨了 WMH 的空间分布以及在任务-核磁共振成像(task-fMRI)过程中激发的活动与运动功能的关系,运动功能是通过九孔钉测试(9-Hole Peg Test)来测量的。我们发现,在 WMH 负荷严重的受试者中,几个额叶和扣带皮层区域的活动减少。结论WMH负荷对精细运动控制时的大脑活动有影响,活动变化与WMH病变的总负荷和分布的不同程度有关。总之,我们的研究结果揭示了 WMH 在衰老和神经变性的背景下对运动功能的潜在影响。
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Characterizing upper extremity fine motor function in the presence of white matter hyperintensities: A 7 T MRI cross-sectional study in older adults

Background

White matter hyperintensities (WMH) are a prevalent radiographic finding in the aging brain studies. Research on WMH association with motor impairment is mostly focused on the lower-extremity function and further investigation on the upper-extremity is needed. How different degrees of WMH burden impact the network of activation recruited during upper limb motor performance could provide further insight on the complex mechanisms of WMH pathophysiology and its interaction with aging and neurological disease processes.

Methods

40 healthy elderly subjects without a neurological/psychiatric diagnosis were included in the study (16F, mean age 69.3 years). All subjects underwent ultra-high field 7 T MRI including structural and finger tapping task-fMRI. First, we quantified the WMH lesion load and its spatial distribution. Secondly, we performed a data-driven stratification of the subjects according to their periventricular and deep WMH burdens. Thirdly, we investigated the distribution of neural recruitment and the corresponding activity assessed through BOLD signal changes among different brain regions for groups of subjects. We clustered the degree of WMH based on location, numbers, and volume into three categories; ranging from mild, moderate, and severe. Finally, we explored how the spatial distribution of WMH, and activity elicited during task-fMRI relate to motor function, measured with the 9-Hole Peg Test.

Results

Within our population, we found three subgroups of subjects, partitioned according to their periventricular and deep WMH lesion load. We found decreased activity in several frontal and cingulate cortex areas in subjects with a severe WMH burden. No statistically significant associations were found when performing the brain-behavior statistical analysis for structural or functional data.

Conclusion

WMH burden has an effect on brain activity during fine motor control and the activity changes are associated with varying degrees of the total burden and distributions of WMH lesions. Collectively, our results shed new light on the potential impact of WMH on motor function in the context of aging and neurodegeneration.

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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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