Kassinopoulos Michalis, Rolandi Nicolo, Alphan Laren, Harper Ronald M, Oliveira Joana, Scott Catherine, Kozák Lajos R, Guye Maxime, Lemieux Louis, Diehl Beate
UCL Queen Square Institute of Neurology, University College London, London, United Kingdom.
Epilepsy Society, Chalfont St. Peter, Buckinghamshire, United Kingdom.
bioRxiv. 2023 May 22:2023.05.19.541412. doi: 10.1101/2023.05.19.541412.
Sudden unexpected death in epilepsy (SUDEP) is the leading cause of premature mortality among people with epilepsy. Evidence from witnessed and monitored SUDEP cases indicate seizure-induced cardiovascular and respiratory failures; yet, the underlying mechanisms remain obscure. SUDEP occurs often during the night and early morning hours, suggesting that sleep or circadian rhythm-induced changes in physiology contribute to the fatal event. Resting-state fMRI studies have found altered functional connectivity between brain structures involved in cardiorespiratory regulation in later SUDEP cases and in individuals at high-risk of SUDEP. However, those connectivity findings have not been related to changes in cardiovascular or respiratory patterns. Here, we compared fMRI patterns of brain connectivity associated with regular and irregular cardiorespiratory rhythms in SUDEP cases with those of living epilepsy patients of varying SUDEP risk, and healthy controls. We analysed resting-state fMRI data from 98 patients with epilepsy (9 who subsequently succumbed to SUDEP, 43 categorized as low SUDEP risk (no tonic-clonic seizures (TCS) in the year preceding the fMRI scan), and 46 as high SUDEP risk (>3 TCS in the year preceding the scan)) and 25 healthy controls. The global signal amplitude (GSA), defined as the moving standard deviation of the fMRI global signal, was used to identify periods with regular ('low state') and irregular ('high state') cardiorespiratory rhythms. Correlation maps were derived from seeds in twelve regions with a key role in autonomic or respiratory regulation, for the low and high states. Following principal component analysis, component weights were compared between the groups. We found widespread alterations in connectivity of precuneus/posterior cingulate cortex in epilepsy compared to controls, in the low state (regular cardiorespiratory activity). In the low state, and to a lesser degree in the high state, reduced anterior insula connectivity (mainly with anterior and posterior cingulate cortex) in epilepsy appeared, relative to healthy controls. For SUDEP cases, the insula connectivity differences were inversely related to the interval between the fMRI scan and death. The findings suggest that anterior insula connectivity measures may provide a biomarker of SUDEP risk. The neural correlates of autonomic brain structures associated with different cardiorespiratory rhythms may shed light on the mechanisms underlying terminal apnea observed in SUDEP.
癫痫猝死(SUDEP)是癫痫患者过早死亡的主要原因。来自有目击者和监测的SUDEP病例的证据表明,癫痫发作会导致心血管和呼吸衰竭;然而,其潜在机制仍不清楚。SUDEP常发生在夜间和清晨,这表明睡眠或昼夜节律引起的生理变化促成了这一致命事件。静息态功能磁共振成像(fMRI)研究发现,在晚期SUDEP病例以及处于SUDEP高风险的个体中,参与心肺调节的脑结构之间的功能连接发生了改变。然而,这些连接性发现与心血管或呼吸模式的变化并无关联。在此,我们比较了SUDEP病例中与规律和不规律心肺节律相关的脑连接fMRI模式,以及不同SUDEP风险的癫痫患者和健康对照者的脑连接fMRI模式。我们分析了98例癫痫患者(9例随后死于SUDEP,43例被归类为低SUDEP风险(在fMRI扫描前一年无强直阵挛发作(TCS)),46例为高SUDEP风险(在扫描前一年有>3次TCS))和25名健康对照者的静息态fMRI数据。全局信号幅度(GSA)定义为fMRI全局信号的移动标准差,用于识别具有规律(“低状态”)和不规律(“高状态”)心肺节律的时期。针对低状态和高状态,从十二个在自主神经或呼吸调节中起关键作用的区域的种子点得出相关图谱。经过主成分分析后,比较了各组之间的成分权重。我们发现,与对照组相比,在低状态(规律心肺活动)下癫痫患者楔前叶/后扣带回皮质的连接存在广泛改变。在低状态下,相对于健康对照者,癫痫患者前岛叶连接性降低(主要与前扣带回皮质和后扣带回皮质相连),在高状态下这种降低程度较小。对于SUDEP病例,岛叶连接性差异与fMRI扫描和死亡之间的间隔呈负相关。这些发现表明,前岛叶连接性测量可能提供一种SUDEP风险的生物标志物。与不同心肺节律相关的自主脑结构的神经关联可能有助于揭示SUDEP中观察到的终末呼吸暂停的潜在机制。