ムラガキ　ヨシヒロ   Muragaki Yoshihiro   村垣　善浩    所属   医学部 医学科（東京女子医科大学病院）    職種   客員教授
論文種別	原著
言語種別	英語
査読の有無	査読なし
表題	Corticomotoneuronal Model for Intraoperative Neurophysiological Monitoring During Direct Brain Stimulation
掲載誌名	正式名：International journal of neural systems 略　 称：Int J Neural Syst ISSNコード：01290657 (Print)01290657
掲載区分	国外
巻・号・頁	29(1),pp.1850026
著者・共著者	GOMEZ-TAMES Jose†, HIRATA Akimasa, TAMURA Manabu, MURAGAKI Yoshihiro
発行年月	2019/02
概要	Intraoperative neurophysiological monitoring during brain surgery uses direct cortical stimulation to map the motor cortex by recording muscle activity induced by the excitation of alpha motor neurons (MNs). Computational models have been used to understand local brain stimulation. However, a computational model revealing the stimulation process from the cortex to MNs has not yet been proposed. Thus, the aim of the current study was to develop a corticomotoneuronal (CMN) model to investigate intraoperative stimulation during surgery. The CMN combined the following three processes into one system for the first time: (1) induction of an electric field in the brain based on a volume conductor model; (2) activation of pyramidal neuron (PNs) with a compartment model; and (3) formation of presynaptic connections of the PNs to MNs using a conductance-based synaptic model coupled with a spiking model. The implemented volume conductor model coupled with the axon model agreed with experimental strength-duration curves. Additionally, temporal/spatial and facilitation effects of CMN synapses were implemented and verified. Finally, the integrated CMN model was verified with experimental data. The results demonstrated that our model was necessary to describe the interaction between frequency and pulses to assess the difference between low-frequency and multi-pulse high-frequency stimulation in cortical stimulation. The proposed model can be used to investigate the effect of stimulation parameters on the cortex to optimize intraoperative monitoring.
DOI	10.1142/s0129065718500260
文献番号	30037285