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Time-resolved quantification of the dynamic extracellular space in the brain during short-lived event: methodology and simulations

机译:短期事件中大脑动态细胞外空间的时间分辨定量:方法论和模拟

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Two macroscopic parameters describe the interstitial diffusion of substances in the extracellular space (ECS) of the brain, the ECS volume fraction alpha and the diffusion tortuosity lambda. Past methods based on sampling the extracellular concentration of a membrane-impermeable ion tracer, such as tetramethylammonium (TMA(+)), can characterize either the dynamic alpha(t) alone or the constant alpha and lambda in resting state but never the dynamic alpha(t) and lambda(t) simultaneously in short- lived brain events. In this work, we propose to use a sinusoidal method of TMA(+) to provide time-resolved quantification of alpha(t) and lambda(t) in acute brain events. This method iontophoretically injects TMA(+) in the brain ECS by a sinusoidal time pattern, samples the resulting TMA(+) diffusion waveform at a distance, and analyzes the transient modulations of the amplitude and phase lag of the sampled TMA(+) waveform to infer alpha(t) and lambda(t). Applicability of the sinusoidal method was verified through computer simulations of the sinusoidal TMA(+) diffusion waveform in cortical spreading depression. Parameter sensitivity analysis identified the sinusoidal frequency and the interelectrode distance as two key operating parameters. Compared with other TMA(+)-based methods, the sinusoidal method can more accurately capture the dynamic alpha(t) and lambda(t) in acute brain events and is equally applicable to other pathological episodes such as epilepsy, transient ischemic attack, and brain injury. Future improvement of the method should focus on high-fidelity extraction of the waveform amplitude and phase angle.
机译:两种宏观参数描述了脑细胞外空间(ECS)中物质的间质扩散,ECS体积分数α和扩散曲折性λ。过去的方法基于取样的膜不可渗透离子示踪剂的细胞外浓度,例如四甲基铵(TMA(+)),可以在静态状态下单独表征动态α(t)或恒定的α和λ,但从来没有动态α (T)和Lambda(t)在短期脑事件中同时。在这项工作中,我们建议使用TMA(+)的正弦方法,以在急性脑事件中提供α(t)和λ(t)的时间分辨定量。该方法通过正弦时间模式将TMA(+)进行细胞渗透地注射TMA(+),在距离处对所得到的TMA(+)扩散波形进行采样,分析采样TMA(+)波形的幅度和相位滞后的瞬态调制推断α(t)和lambda(t)。通过皮质扩散抑制中的正弦TMA(+)扩散波形的计算机模拟来验证正弦方法的适用性。参数灵敏度分析将正弦频率和电极间距离识别为两个关键操作参数。与基于TMA(+)的方法相比,正弦方法可以更准确地捕获急性脑事件中的动态α(T)和λ(T),并且同样适用于诸如癫痫,短暂性缺血攻击等的其他病理发作脑损伤。该方法的未来改进应专注于波形幅度和相位角的高保真提取。

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