Imbalanced temporal states of cortical blood-oxygen-level-dependent signal variability during rest in episodic migraine.

IF 7.3 1区 医学 Q1 CLINICAL NEUROLOGY Journal of Headache and Pain Pub Date : 2024-07-16 DOI:10.1186/s10194-024-01824-0
Dániel Veréb, Nikoletta Szabó, Bálint Kincses, Laura Szücs-Bencze, Péter Faragó, Máté Csomós, Szabolcs Antal, Krisztián Kocsis, Bernadett Tuka, Zsigmond Tamás Kincses
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Abstract

Background: Migraine has been associated with functional brain changes including altered connectivity and activity both during and between headache attacks. Recent studies established that the variability of the blood-oxygen-level-dependent (BOLD) signal is an important attribute of brain activity, which has so far been understudied in migraine. In this study, we investigate how time-varying measures of BOLD variability change interictally in episodic migraine patients.

Methods: Two independent resting state functional MRI datasets acquired on 3T (discovery cohort) and 1.5T MRI scanners (replication cohort) including 99 episodic migraine patients (n3T = 42, n1.5T=57) and 78 healthy controls (n3T = 46, n1.5T=32) were analyzed in this cross-sectional study. A framework using time-varying measures of BOLD variability was applied to derive BOLD variability states. Descriptors of BOLD variability states such as dwell time and fractional occupancy were calculated, then compared between migraine patients and healthy controls using Mann-Whitney U-tests. Spearman's rank correlation was calculated to test associations with clinical parameters.

Results: Resting-state activity was characterized by states of high and low BOLD signal variability. Migraine patients in the discovery cohort spent more time in the low variability state (mean dwell time: p = 0.014, median dwell time: p = 0.022, maximum dwell time: p = 0.013, fractional occupancy: p = 0.013) and less time in the high variability state (mean dwell time: p = 0.021, median dwell time: p = 0.021, maximum dwell time: p = 0.025, fractional occupancy: p = 0.013). Higher uptime of the low variability state was associated with greater disability as measured by MIDAS scores (maximum dwell time: R = 0.45, p = 0.007; fractional occupancy: R = 0.36, p = 0.035). Similar results were observed in the replication cohort.

Conclusion: Episodic migraine patients spend more time in a state of low BOLD variability during rest in headache-free periods, which is associated with greater disability. BOLD variability states show potential as a replicable functional imaging marker in episodic migraine.

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发作性偏头痛患者休息时皮层血氧水平依赖性信号变异的不平衡时间状态。
背景:偏头痛与大脑功能变化有关,包括头痛发作时和发作间期大脑连接和活动的改变。最近的研究证实,血氧水平依赖性(BOLD)信号的变异性是大脑活动的一个重要属性,但迄今为止对偏头痛的研究还不够深入。在这项研究中,我们调查了发作性偏头痛患者BOLD变异性的时变指标在发作间期的变化情况:在这项横断面研究中,我们分析了在 3T(发现队列)和 1.5T MRI 扫描仪(复制队列)上获得的两个独立静息状态功能 MRI 数据集,包括 99 名发作性偏头痛患者(n3T = 42,n1.5T = 57)和 78 名健康对照者(n3T = 46,n1.5T = 32)。该研究采用了一个 BOLD 变异性时变测量框架来推导 BOLD 变异性状态。计算出BOLD变异性状态的描述符,如停留时间和分数占有率,然后使用曼-惠特尼U检验比较偏头痛患者和健康对照组。计算斯皮尔曼等级相关性以检验与临床参数的关联:结果:静息态活动的特征是BOLD信号变异性的高低状态。发现队列中的偏头痛患者在低变异性状态下花费的时间较长(平均停留时间:p = 0.014,中位停留时间:p = 0.022,最长停留时间:p = 0.013,分数占有率:p = 0.013),而在高变异性状态下花费的时间较短(平均停留时间:p = 0.021,中位停留时间:p = 0.021,最长停留时间:p = 0.025,分数占有率:p = 0.013)。根据 MIDAS 评分,低变异状态的正常运行时间越长,残疾程度越高(最长停留时间:R = 0.45,p = 0.013):R = 0.45,p = 0.007;部分占有率:R = 0.36,p = 0.035)。在复制队列中也观察到了类似的结果:结论:发作性偏头痛患者在无头痛的休息期间,有更多的时间处于低BOLD变异性状态,这与更严重的残疾有关。BOLD变异性状态显示出作为发作性偏头痛的可复制功能成像标记的潜力。
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来源期刊
Journal of Headache and Pain
Journal of Headache and Pain 医学-临床神经学
CiteScore
11.80
自引率
13.50%
发文量
143
审稿时长
6-12 weeks
期刊介绍: The Journal of Headache and Pain, a peer-reviewed open-access journal published under the BMC brand, a part of Springer Nature, is dedicated to researchers engaged in all facets of headache and related pain syndromes. It encompasses epidemiology, public health, basic science, translational medicine, clinical trials, and real-world data. With a multidisciplinary approach, The Journal of Headache and Pain addresses headache medicine and related pain syndromes across all medical disciplines. It particularly encourages submissions in clinical, translational, and basic science fields, focusing on pain management, genetics, neurology, and internal medicine. The journal publishes research articles, reviews, letters to the Editor, as well as consensus articles and guidelines, aimed at promoting best practices in managing patients with headaches and related pain.
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