Ghiasvand Shabnam, Dussourd Chris R, Liu Jing, Song Yu, Berdichevsky Yevgeny
Bioengineering Lehigh University, United States.
Electrical Engineering Lehigh University, United States.
Heliyon. 2020 Nov 27;6(11):e05587. doi: 10.1016/j.heliyon.2020.e05587. eCollection 2020 Nov.
Hippocampal and cortical slice-based models are widely used to study seizures and epilepsy. Seizure detection and quantification are essential components for studying mechanisms of epilepsy and assessing therapeutic interventions. To obtain meaningful signals and maximize experimental throughput, variability should be minimized. Some electrical recording methods require insertion of an electrode into neuronal tissue, change in slice chemical microenvironment, and transients in temperature and pH. These perturbations can cause acute and long-term alterations of the neuronal network which may be reflected in the variability of the recorded signal.
In this study we investigated the effect of experimental perturbations in three local field potential (LFP) recording methods including substrate micro-wires (s-MWs), multiple electrode arrays (MEAs), and inserted micro wire electrodes (i-MW). These methods enabled us to isolate effects of different perturbations. We used organotypic hippocampal slices (OHCs) as an in-vitro model of posttraumatic epilepsy. To investigate the effect of the disturbances caused by the recording method on the paroxysmal events, we introduced jitter analysis, which is sensitive to small differences in the seizure spike timing.
Medium replacement can introduce long-lasting perturbations. Electrode insertion increased variability on a shorter time scale. OHCs also underwent spontaneous state transitions characterized by transient increases in variability.
This new method of seizure waveform analysis allows for more sensitive assessment of variability of ictal events than simply measuring seizure frequency and duration.
We demonstrated that some of the variability in OHC recordings are due to experimental perturbations while some are spontaneous and independent of recording method.
基于海马体和皮质切片的模型被广泛用于研究癫痫发作和癫痫。癫痫发作的检测和量化是研究癫痫机制和评估治疗干预措施的重要组成部分。为了获得有意义的信号并最大化实验通量,应将变异性降至最低。一些电记录方法需要将电极插入神经元组织,改变切片的化学微环境,以及温度和pH值的瞬变。这些干扰可导致神经网络的急性和长期改变,这可能反映在记录信号的变异性中。
在本研究中,我们研究了三种局部场电位(LFP)记录方法(包括基底微丝(s-MW)、多电极阵列(MEA)和插入式微丝电极(i-MW))中实验干扰的影响。这些方法使我们能够分离不同干扰的影响。我们使用器官型海马切片(OHC)作为创伤后癫痫的体外模型。为了研究记录方法引起的干扰对阵发性事件的影响,我们引入了抖动分析,该分析对癫痫发作尖峰时间的微小差异敏感。
培养基更换可引入持久的干扰。电极插入在较短时间尺度上增加了变异性。OHC也经历了以变异性短暂增加为特征的自发状态转变。
这种癫痫发作波形分析的新方法比简单测量癫痫发作频率和持续时间更能敏感地评估发作期事件的变异性。
我们证明,OHC记录中的一些变异性是由于实验干扰,而一些是自发的且与记录方法无关。