Cipriano Lorenzo, Minino Roberta, Liparoti Marianna, Polverino Arianna, Romano Antonella, Bonavita Simona, Pirozzi Maria Agnese, Quarantelli Mario, Jirsa Viktor, Sorrentino Giuseppe, Sorrentino Pierpaolo, Troisi Lopez Emahnuel
Department of Medical, Motor and Wellness Sciences, University of Naples 'Parthenope', 80133 Naples, Italy.
Department of Philosophical, Pedagogical and Quantitative-Economic Sciences, University of Chieti-Pescara 'G. d'Annunzio', 66100 Chieti, Italy.
Brain Commun. 2024 Apr 2;6(2):fcae112. doi: 10.1093/braincomms/fcae112. eCollection 2024.
Large-scale brain activity has long been investigated under the erroneous assumption of stationarity. Nowadays, we know that resting-state functional connectivity is characterized by aperiodic, scale-free bursts of activity (i.e. neuronal avalanches) that intermittently recruit different brain regions. These different patterns of activity represent a measure of brain flexibility, whose reduction has been found to predict clinical impairment in multiple neurodegenerative diseases such as Parkinson's disease, amyotrophic lateral sclerosis and Alzheimer's disease. Brain flexibility has been recently found increased in multiple sclerosis, but its relationship with clinical disability remains elusive. Also, potential differences in brain dynamics according to the multiple sclerosis clinical phenotypes remain unexplored so far. We performed a brain dynamics study quantifying brain flexibility utilizing the 'functional repertoire' (i.e. the number of configurations of active brain areas) through source reconstruction of magnetoencephalography signals in a cohort of 25 multiple sclerosis patients (10 relapsing-remitting multiple sclerosis and 15 secondary progressive multiple sclerosis) and 25 healthy controls. Multiple sclerosis patients showed a greater number of unique reconfigurations at fast time scales as compared with healthy controls. This difference was mainly driven by the relapsing-remitting multiple sclerosis phenotype, whereas no significant differences in brain dynamics were found between secondary progressive multiple sclerosis and healthy controls. Brain flexibility also showed a different predictive power on clinical disability according to the multiple sclerosis type. For the first time, we investigated brain dynamics in multiple sclerosis patients through high temporal resolution techniques, unveiling differences in brain flexibility according to the multiple sclerosis phenotype and its relationship with clinical disability.
长期以来,大规模脑活动一直是在平稳性这一错误假设下进行研究的。如今,我们知道静息态功能连接的特征是无周期性、无标度的活动爆发(即神经元雪崩),这些活动会间歇性地招募不同的脑区。这些不同的活动模式代表了脑灵活性的一种度量,研究发现其降低可预测多种神经退行性疾病(如帕金森病、肌萎缩侧索硬化症和阿尔茨海默病)的临床损伤。最近发现多发性硬化症患者的脑灵活性有所增加,但其与临床残疾的关系仍不明确。此外,迄今为止,根据多发性硬化症临床表型的脑动力学潜在差异仍未得到探索。我们进行了一项脑动力学研究,通过对25例多发性硬化症患者(10例复发缓解型多发性硬化症和15例继发进展型多发性硬化症)和25例健康对照者的脑磁图信号进行源重建,并利用“功能库”(即活跃脑区配置的数量)来量化脑灵活性。与健康对照者相比,多发性硬化症患者在快速时间尺度上表现出更多独特的重新配置。这种差异主要由复发缓解型多发性硬化症表型驱动,而继发进展型多发性硬化症与健康对照者之间在脑动力学方面未发现显著差异。根据多发性硬化症类型,脑灵活性对临床残疾也表现出不同的预测能力。我们首次通过高时间分辨率技术研究了多发性硬化症患者的脑动力学,揭示了根据多发性硬化症表型的脑灵活性差异及其与临床残疾的关系。