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慢性偏头痛患者静息态网络的分形分析与丘脑皮质形态功能完整性的血流动力学活动特征。

Haemodynamic activity characterization of resting state networks by fractal analysis and thalamocortical morphofunctional integrity in chronic migraine.

机构信息

Institute of Cognitive Sciences and Technologies (ISTC), National Research Council (CNR), Via Palestro 32, I-00185, Rome, Italy.

Centre for Human Brain Health and School of Psychology, University of Birmingham, Birmingham, UK.

出版信息

J Headache Pain. 2020 Sep 14;21(1):112. doi: 10.1186/s10194-020-01181-8.

Abstract

BACKGROUND

Chronic migraine (CM) can be associated with aberrant long-range connectivity of MRI-derived resting-state networks (RSNs). Here, we investigated how the fractal dimension (FD) of blood oxygenation level dependent (BOLD) activity may be used to estimate the complexity of RSNs, reflecting flexibility and/or efficiency in information processing in CM patients respect to healthy controls (HC).

METHODS

Resting-state MRI data were collected from 20 untreated CM without history of medication overuse and 20 HC. On both groups, we estimated the Higuchi's FD. On the same subjects, fractional anisotropy (FA) and mean diffusivity (MD) values of bilateral thalami were retrieved from diffusion tensor imaging and correlated with the FD values.

RESULTS

CM showed higher FD values within dorsal attention system (DAS) and the anterior part of default-mode network (DMN), and lower FD values within the posterior DMN compared to HC. Although FA and MD were within the range of normality, both correlated with the FD values of DAS.

CONCLUSIONS

FD of DAS and DMN may reflect disruption of cognitive control of pain in CM. Since the normal microstructure of the thalamus and its positive connectivity with the cortical networking found in our CM patients reminds similar results obtained assessing the same structures but with the methods of neurophysiology, in episodic migraine during an attack, this may be yet another evidence in supporting CM as a never-ending migraine attack.

摘要

背景

慢性偏头痛(CM)可能与 MRI 衍生的静息态网络(RSN)的异常长程连接有关。在这里,我们研究了血氧水平依赖(BOLD)活动的分形维数(FD)如何用于估计 RSN 的复杂性,反映 CM 患者相对于健康对照(HC)在信息处理中的灵活性和/或效率。

方法

从 20 名未经治疗的无药物滥用史的慢性偏头痛患者和 20 名健康对照者中采集静息态 MRI 数据。在两组中,我们都估计了 Higuchi 的 FD。在同一组受试者中,从弥散张量成像中获取双侧丘脑的分数各向异性(FA)和平均弥散度(MD)值,并与 FD 值相关联。

结果

CM 在背侧注意系统(DAS)和默认模式网络(DMN)的前部的 FD 值较高,而在 DMN 的后部 FD 值较低。尽管 FA 和 MD 值在正常范围内,但都与 DAS 的 FD 值相关。

结论

DAS 和 DMN 的 FD 可能反映了 CM 中疼痛认知控制的中断。由于我们的 CM 患者中丘脑的正常微观结构及其与皮质网络的正连接与评估相同结构但使用神经生理学方法在发作性偏头痛期间获得的相似结果一致,这可能是支持 CM 作为一种永无止境的偏头痛发作的另一个证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ff2d/7490862/8ce0e4100128/10194_2020_1181_Fig1_HTML.jpg

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