Veréb Dániel, Szabó Nikoletta, Kincses Bálint, Szücs-Bencze Laura, Faragó Péter, Csomós Máté, Antal Szabolcs, Kocsis Krisztián, Tuka Bernadett, Kincses Zsigmond Tamás
Department of Radiology, Albert Szent-Györgyi Health Centre, University of Szeged, Semmelweis u. 6, Szeged, 6725, Hungary.
Department of Neurology, Albert Szent-Györgyi Health Centre, University of Szeged, Szeged, Hungary.
J Headache Pain. 2024 Jul 16;25(1):114. doi: 10.1186/s10194-024-01824-0.
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.
Two independent resting state functional MRI datasets acquired on 3T (discovery cohort) and 1.5T MRI scanners (replication cohort) including 99 episodic migraine patients (n = 42, n=57) and 78 healthy controls (n = 46, n=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.
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.
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.
偏头痛与大脑功能变化有关,包括头痛发作期间及发作间期的连接性和活动改变。最近的研究表明,血氧水平依赖(BOLD)信号的变异性是大脑活动的一个重要属性,而在偏头痛中这方面的研究迄今较少。在本研究中,我们调查发作性偏头痛患者在发作间期BOLD变异性的时变测量值如何变化。
在这项横断面研究中,分析了在3T(发现队列)和1.5T MRI扫描仪(复制队列)上获取的两个独立的静息态功能MRI数据集,包括99例发作性偏头痛患者(n = 42,n = 57)和78名健康对照者(n = 46,n = 32)。应用一个使用BOLD变异性时变测量值的框架来推导BOLD变异性状态。计算BOLD变异性状态的描述指标,如停留时间和分数占有率,然后使用曼-惠特尼U检验在偏头痛患者和健康对照者之间进行比较。计算斯皮尔曼等级相关性以检验与临床参数的关联。
静息态活动以高和低BOLD信号变异性状态为特征。发现队列中的偏头痛患者在低变异性状态下花费更多时间(平均停留时间:p = 0.014,中位数停留时间:p = 0.022,最大停留时间:p = 0.013,分数占有率:p = 0.013),而在高变异性状态下花费较少时间(平均停留时间:p = 0.021,中位数停留时间:p = 上0.021,最大停留时间:p = 0.025,分数占有率:p = 0.013)。低变异性状态的较高持续时间与MIDAS评分测量的更大残疾程度相关(最大停留时间:R = 0.45,p = 0.007;分数占有率:R = 0.36,p = 0.035)。在复制队列中观察到类似结果。
发作性偏头痛患者在无头痛期休息时,在低BOLD变异性状态下花费更多时间,这与更大的残疾程度相关。BOLD变异性状态显示出作为发作性偏头痛中一种可复制的功能成像标志物的潜力。