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肌萎缩侧索硬化症的皮质神经生理学特征

The cortical neurophysiological signature of amyotrophic lateral sclerosis.

作者信息

Trubshaw Michael, Gohil Chetan, Yoganathan Katie, Kohl Oliver, Edmond Evan, Proudfoot Malcolm, Thompson Alexander G, Talbot Kevin, Stagg Charlotte J, Nobre Anna C, Woolrich Mark, Turner Martin R

机构信息

Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, University of Oxford, Oxford, OX3 7JX, UK.

Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.

出版信息

Brain Commun. 2024 May 13;6(3):fcae164. doi: 10.1093/braincomms/fcae164. eCollection 2024.

Abstract

The progressive loss of motor function characteristic of amyotrophic lateral sclerosis is associated with widespread cortical pathology extending beyond primary motor regions. Increasing muscle weakness reflects a dynamic, variably compensated brain network disorder. In the quest for biomarkers to accelerate therapeutic assessment, the high temporal resolution of magnetoencephalography is uniquely able to non-invasively capture micro-magnetic fields generated by neuronal activity across the entire cortex simultaneously. This study examined task-free magnetoencephalography to characterize the cortical oscillatory signature of amyotrophic lateral sclerosis for having potential as a pharmacodynamic biomarker. Eight to ten minutes of magnetoencephalography in the task-free, eyes-open state was recorded in amyotrophic lateral sclerosis ( = 36) and healthy age-matched controls ( = 51), followed by a structural MRI scan for co-registration. Extracted magnetoencephalography metrics from the delta, theta, alpha, beta, low-gamma, high-gamma frequency bands included oscillatory power (regional activity), 1/ exponent (complexity) and amplitude envelope correlation (connectivity). Groups were compared using a permutation-based general linear model with correction for multiple comparisons and confounders. To test whether the extracted metrics could predict disease severity, a random forest regression model was trained and evaluated using nested leave-one-out cross-validation. Amyotrophic lateral sclerosis was characterized by reduced sensorimotor beta band and increased high-gamma band power. Within the premotor cortex, increased disability was associated with a reduced 1/ exponent. Increased disability was more widely associated with increased global connectivity in the delta, theta and high-gamma bands. Intra-hemispherically, increased disability scores were particularly associated with increases in temporal connectivity and inter-hemispherically with increases in frontal and occipital connectivity. The random forest model achieved a coefficient of determination () of 0.24. The combined reduction in cortical sensorimotor beta and rise in gamma power is compatible with the established hypothesis of loss of inhibitory, GABAergic interneuronal circuits in pathogenesis. A lower 1/ exponent potentially reflects a more excitable cortex and a pathology unique to amyotrophic lateral sclerosis when considered with the findings published in other neurodegenerative disorders. Power and complexity changes corroborate with the results from paired-pulse transcranial magnetic stimulation. Increased magnetoencephalography connectivity in worsening disability is thought to represent compensatory responses to a failing motor system. Restoration of cortical beta and gamma band power has significant potential to be tested in an experimental medicine setting. Magnetoencephalography-based measures have potential as sensitive outcome measures of therapeutic benefit in drug trials and may have a wider diagnostic value with further study, including as predictive markers in asymptomatic carriers of disease-causing genetic variants.

摘要

肌萎缩侧索硬化症特有的运动功能进行性丧失与广泛的皮质病理改变有关,这种病理改变超出了初级运动区域。肌肉无力的加重反映了一种动态的、代偿程度各异的脑网络紊乱。在寻找可加速治疗评估的生物标志物的过程中,脑磁图的高时间分辨率能够独特地非侵入性同时捕捉整个皮质神经元活动产生的微磁场。本研究检查了静息态脑磁图,以表征肌萎缩侧索硬化症的皮质振荡特征,其有潜力作为一种药效学生物标志物。在肌萎缩侧索硬化症患者(n = 36)和年龄匹配的健康对照者(n = 51)中记录了8至10分钟的静息态、睁眼状态下的脑磁图,随后进行结构MRI扫描以进行配准。从δ、θ、α、β、低γ、高γ频段提取的脑磁图指标包括振荡功率(区域活动)、1/β指数(复杂性)和振幅包络相关性(连接性)。使用基于置换的一般线性模型对组间进行比较,并对多重比较和混杂因素进行校正。为了测试提取的指标是否可以预测疾病严重程度,使用嵌套留一法交叉验证训练并评估了随机森林回归模型。肌萎缩侧索硬化症的特征是感觉运动β频段降低和高γ频段功率增加。在前运动皮质内,残疾程度增加与1/β指数降低有关。残疾程度增加更广泛地与δ、θ和高γ频段的全脑连接性增加有关。在半球内,残疾评分增加尤其与颞叶连接性增加有关,而在半球间则与额叶和枕叶连接性增加有关。随机森林模型的决定系数(R²)为0.24。皮质感觉运动β的降低和γ功率的升高相结合,与发病机制中抑制性γ-氨基丁酸能中间神经元回路丧失的既定假说是一致的。较低的1/β指数可能反映了皮质更易兴奋,并且与其他神经退行性疾病发表的研究结果相比,这是肌萎缩侧索硬化症特有的一种病理改变。功率和复杂性变化与配对脉冲经颅磁刺激的结果一致。残疾程度加重时脑磁图连接性增加被认为代表了对功能衰竭的运动系统的代偿反应。恢复皮质β和γ频段功率在实验医学环境中有很大的测试潜力。基于脑磁图的测量方法有潜力作为药物试验中治疗效果的敏感指标,并且随着进一步研究可能具有更广泛的诊断价值,包括作为致病基因变异无症状携带者的预测标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be88/11109820/5427cf453080/fcae164f3.jpg

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