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Realistic modeling of mesoscopic ephaptic coupling in the human brain

机译:人脑中脑镜复合耦合的现实建模

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We study the potential role of a less understood type of communication between neurons in the brain. While the principal mechanism for neuron communication is synaptic, active neurons generate electric fields. Whether this is physiologically relevant at the systems level or merely an epiphenomenon is uncertain because these fields are rather weak at the mesoscopic scale (i.e., between single neuron and entire brain scales). We first review converging evidence from in-vitro and in-vivo studies that suggest the former, and then, using realistic finite element modeling, we show that the electric fields generated by transcranial electrical current stimulation are of the same magnitude as endogenous ones in this scale. We then develop a method to estimate the amount of potential ephaptic or electric-field interaction in an individual brain using finite element modeling and show its decrease with age in a large cohort of 401 subjects. Ephaptic interaction may be important for complex processing in biological neural networks, because it travels at very fast speeds and provides a potential communication link across distant neurons in the cortex. Assessing the physiological relevance of this mechanism may be key in understanding some brain disorders and to design improved tES protocols.
机译:我们研究了较不明白的神经元在大脑之间通信的潜在作用。虽然神经元通信的主要机制是突触,活性神经元产生电场。无论这是否在系统水平或仅仅是Epiphenomenon的生理上相关,因为这些田间在介观标尺(即,在单一神经元和整个脑尺度之间)相当弱)。我们首先审查来自体外和体内研究的融合证据,提出了前者,然后使用现实的有限元建模,我们表明由经颅电流刺激产生的电场与内源性相同规模。然后,我们使用有限元建模来制定一种方法来估计各个脑中的潜在畸形或电场相互作用的量,并在大队列的401个受试者中随着年龄的增长显示其降低。矢状相互作用对于生物神经网络中的复杂处理可能是重要的,因为它以非常快速的速度行进,并且在皮质中提供跨越神经元的潜在通信连接。评估该机制的生理相关性可能是了解一些大脑障碍和设计改进的TES协议的关键。

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