Long-Term Changes in Brain Connectivity Reflected in Quantitative Electrophysiology of Symptomatic Former National Football League Players.
Long-Term Changes in Brain Connectivity Reflected in Quantitative Electrophysiology of Symptomatic Former National Football League Players.
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有症状的前国家橄榄球联盟球员的定量电生理学反映了大脑连接的长期变化。
DOI：
10.1089/neu.2022.0029
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发表时间：
2023
影响因子：
4.2
通讯作者：
Prichep,LeslieS
中科院分区：
文献类型：
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作者：
Liang,Bo;Alosco,MichaelL;Armañanzas,Ruben;Martin,BrettM;Tripodis,Yorghos;Stern,RobertA;Prichep,LeslieS
暴露于重复性头部撞击（RHI）与认知，情绪和神经行为失调的长期紊乱有关，并反映在神经影像学中。已证明脑电活动（定量脑电图[qEEG]）定量特征的不同变化模式对神经退行性疾病和创伤性脑损伤（TBI）中观察到的脑变化敏感。虽然这些qEEG生物标志物在损伤时高度敏感，但暴露于RHI对脑电活动的长期影响相对未被探索。从额叶和额颞电极导联（BrainScope食品和药物管理局批准的EEG采集设备）收集10分钟的闭眼静息EEG数据，以及评估神经精神功能和首次接触美式足球的年龄（AFE）。使用机器学习方法来推导基于qEEG的算法来区分前国家橄榄球联盟（NFL）球员（n= 87，55.40 ± 7.98岁）来自无RHI病史的同龄男性（n= 68，54.94 ± 7.63岁），以及第二种算法区分AFE <12岁（n= 33）和AFE ≥12岁（n= 54）的前球员。将NFL退休人员与对照分开的算法具有特异性= 80%，灵敏度= 60%，曲线下面积（AUC）= 0.75。在NFL人群中，将AFE <12与AFE ≥12分开的算法导致灵敏度= 76%，特异性= 52%，AUC = 0.72。NFL退休人员和年轻AFE患者的EEG异常特征包括与神经变性和区域间神经元传输中断相关的特征。这些结果支持RHI的长期后果和EEG作为脑功能持续变化的生物标志物的潜力。
Exposure to repetitive head impacts (RHI) has been associated with long-term disturbances in cognition, mood, and neurobehavioral dysregulation, and reflected in neuroimaging. Distinct patterns of changes in quantitative features of the brain electrical activity (quantitative electroencephalogram [qEEG]) have been demonstrated to be sensitive to brain changes seen in neurodegenerative disorders and in traumatic brain injuries (TBI). While these qEEG biomarkers are highly sensitive at time of injury, the long-term effects of exposure to RHI on brain electrical activity are relatively unexplored. Ten minutes of eyes closed resting EEG data were collected from a frontal and frontotemporal electrode montage (BrainScope Food and Drug Administration–cleared EEG acquisition device), as well as assessments of neuropsychiatric function and age of first exposure (AFE) to American football. A machine learning methodology was used to derive a qEEG-based algorithm to discriminate former National Football League (NFL) players (n= 87, 55.40 ± 7.98 years old) from same-age men without history of RHI (n= 68, 54.94 ± 7.63 years old), and a second algorithm to discriminate former players with AFE <12 years (n= 33) from AFE ≥12 years (n= 54). The algorithm separating NFL retirees from controls had a specificity = 80%, a sensitivity = 60%, and an area under curve (AUC) = 0.75. Within the NFL population, the algorithm separating AFE <12 from AFE ≥12 resulted in a sensitivity = 76%, a specificity = 52%, and an AUC = 0.72. The presence of a profile of EEG abnormalities in the NFL retirees and in those with younger AFE includes features associated with neurodegeneration and the disruption of neuronal transmission between regions. These results support the long-term consequences of RHI and the potential of EEG as a biomarker of persistent changes in brain function.