Frequency-Dependent Changes in Resting State Electroencephalogram Functional Networks after Traumatic Brain Injury in Piglets
Frequency-Dependent Changes in Resting State Electroencephalogram Functional Networks after Traumatic Brain Injury in Piglets
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DOI：
10.1089/neu.2017.5574
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发表时间：
2019-09-01
影响因子：
4.2
通讯作者：
Margulies, Susan S.
中科院分区：
文献类型：
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作者：
Atlan, Lorre S.;Margulies, Susan S.
创伤性脑损伤 (TBI) 是儿童的一个主要健康问题，因为它会导致慢性认知和行为缺陷。 TBI 诊断缺乏客观的非自愿指标，使得预后更具挑战性，尤其是在儿科领域，儿童往往无法清楚地表达自己的症状。静息态脑电图（EEG）价格低廉且非侵入性，并且不需要受试者执行认知任务，尚未用于在儿童或非人类动物中创建与 TBI 相关的功能性大脑网络；在这里，我们报告了第一个此类研究。我们记录了 TBI 前后清醒仔猪的静息态脑电图，从中我们生成了来自 alpha (8-12 Hz)、beta (16.5-25 Hz)、broad (1-35 Hz)、delta (1-3.5 Hz)、gamma (30-35 Hz)、sigma (13-16 Hz) 和 theta (4-7.5 Hz) 频段的脑电图功能网络。我们假设轻度 TBI 会在 4 周龄仔猪的急性和慢性时间点引起持续的频率依赖性变化。 TBI 后在多个频段网络中发现了超连接性。这项研究证明了清醒仔猪脑电图功能网络的研究可能有助于制定儿童 TBI 的诊断指标。
Traumatic brain injury (TBI) is a major health concern in children, as it can cause chronic cognitive and behavioral deficits. The lack of objective involuntary metrics for the diagnosis of TBI makes prognosis more challenging, especially in the pediatric context, in which children are often unable to articulate their symptoms. Resting state electroencephalograms (EEG), which are inexpensive and non-invasive, and do not require subjects to perform cognitive tasks, have not yet been used to create functional brain networks in relation to TBI in children or non-human animals; here we report the first such study. We recorded resting state EEG in awake piglets before and after TBI, from which we generated EEG functional networks from the alpha (8-12 Hz), beta (16.5-25 Hz), broad (1-35 Hz), delta (1-3.5 Hz), gamma (30-35 Hz), sigma (13-16 Hz), and theta (4-7.5 Hz) frequency bands. We hypothesize that mild TBI will induce persistent frequency-dependent changes in the 4-week-old piglet at acute and chronic time points. Hyperconnectivity was found in several frequency band networks after TBI. This study serves as proof of concept that the study of EEG functional networks in awake piglets may be useful for the development of diagnostic metrics for TBI in children.