背景:对健康年轻人的研究表明,大脑活动的特征模式定义了每个人独有的个体“大脑指纹”。然而,这些大脑指纹的变异性在患有神经系统疾病的个体中增加,挑战该方法的临床相关性和潜在影响。我们的研究表明,来自神经生理大脑活动的大脑指纹与帕金森病(PD)患者的病理生理和临床特征有关。
方法:我们通过脑磁图记录了79例PD患者的无任务脑活动,并将其与两个年龄匹配的健康对照的独立样本(总共N=424)进行了比较。我们将大脑活动分解为心律失常和节律成分,从长达4分钟和短至30s的记录持续时间为每种类型定义不同的大脑指纹。
结果:帕金森病患者皮质活动的心律失常频谱成分在短时间内变化更大,挑战可靠的大脑指纹的定义。然而,通过分离皮质活动的节律成分,我们获得了区分患者和健康对照组的脑指纹,准确率约为90%。由此产生的帕金森大脑指纹的最突出的皮质特征被映射到单峰感觉运动区域的多节律活动。利用这些功能,我们还证明,帕金森的症状偏侧性可以直接从皮质神经生理活动中解码。此外,我们的研究表明,帕金森的脑指纹的皮质地形图与受疾病病理生理影响的神经递质系统一致。
结论:心律失常脑指纹的瞬时变异性增加挑战了患者的分化,并解释了先前发表的结果。我们概述了患者特定的节律性大脑信号特征,这些特征提供了对帕金森氏病的神经生理特征和症状侧向性的见解。因此,帕金森病节律性脑指纹的拟议定义可能有助于新颖,精细的患者分层方法。对称,我们讨论了有节奏的脑指纹如何有助于改善治疗性神经刺激目标的识别和测试。
背景:此项目的数据收集和共享由魁北克帕金森网络(QPN)提供,阿尔茨海默病的新型或实验性治疗的症状前评估(PREVENT-AD;版本6.0)程序,剑桥衰老神经科学中心(Cam-CAN),和开放MEG档案(OMEGA)。QPN的资金来自魁北克省学术基金会(FRQS)的赠款。PREVENT-AD于2011年以1350万美元的价格推出,使用麦吉尔大学提供的资金进行7年公私合作,FRQS,来自加拿大辉瑞公司的无限制研究资助,Levesque基金会,道格拉斯医院研究中心和基金会,加拿大政府,加拿大创新基金。头脑风暴项目得到了NIH对SB的资助(R01-EB026299-05)。对SB进行这项研究的进一步资助包括加拿大自然科学和工程研究委员会的发现资助(436355-13),和CIHR加拿大大脑系统神经动力学研究主席(CRC-2017-00311)。
BACKGROUND: Research in healthy young adults shows that characteristic patterns of brain activity define individual \"brain-fingerprints\" that are unique to each person. However, variability in these brain-fingerprints increases in individuals with neurological conditions, challenging the clinical relevance and potential impact of the approach. Our study shows that brain-fingerprints derived from neurophysiological brain activity are associated with pathophysiological and clinical traits of individual patients with Parkinson\'s disease (PD).
METHODS: We created brain-fingerprints from task-free brain activity recorded through
magnetoencephalography in 79 PD patients and compared them with those from two independent samples of age-matched healthy controls (N = 424 total). We decomposed brain activity into arrhythmic and rhythmic components, defining distinct brain-fingerprints for each type from recording durations of up to 4 min and as short as 30 s.
RESULTS: The arrhythmic spectral components of cortical activity in patients with Parkinson\'s disease are more variable over short periods, challenging the definition of a reliable brain-fingerprint. However, by isolating the rhythmic components of cortical activity, we derived brain-fingerprints that distinguished between patients and healthy controls with about 90% accuracy. The most prominent cortical features of the resulting Parkinson\'s brain-fingerprint are mapped to polyrhythmic activity in unimodal sensorimotor regions. Leveraging these features, we also demonstrate that Parkinson\'s symptom laterality can be decoded directly from cortical neurophysiological activity. Furthermore, our study reveals that the cortical topography of the Parkinson\'s brain-fingerprint aligns with that of neurotransmitter systems affected by the disease\'s pathophysiology.
CONCLUSIONS: The increased moment-to-moment variability of arrhythmic brain-fingerprints challenges patient differentiation and explains previously published results. We outline patient-specific rhythmic brain signaling features that provide insights into both the neurophysiological signature and symptom laterality of Parkinson\'s disease. Thus, the proposed definition of a rhythmic brain-fingerprint of Parkinson\'s disease may contribute to novel, refined approaches to patient stratification. Symmetrically, we discuss how rhythmic brain-fingerprints may contribute to the improved identification and testing of therapeutic neurostimulation targets.
BACKGROUND: Data collection and sharing for this project was provided by the Quebec Parkinson Network (QPN), the Pre-symptomatic Evaluation of Novel or Experimental Treatments for Alzheimer\'s Disease (PREVENT-AD; release 6.0) program, the Cambridge Centre for Aging Neuroscience (Cam-CAN), and the Open MEG Archives (OMEGA). The QPN is funded by a grant from Fonds de Recherche du Québec - Santé (FRQS). PREVENT-AD was launched in 2011 as a $13.5 million, 7-year public-private partnership using funds provided by McGill University, the FRQS, an unrestricted research grant from Pfizer Canada, the Levesque Foundation, the Douglas Hospital Research Centre and Foundation, the Government of Canada, and the Canada Fund for Innovation. The Brainstorm project is supported by funding to SB from the NIH (R01-EB026299-05). Further funding to SB for this study included a Discovery grant from the Natural Sciences and Engineering Research Council of Canada of Canada (436355-13), and the CIHR Canada research Chair in Neural Dynamics of Brain Systems (CRC-2017-00311).