兴奋性突触后电位
抑制性突触后电位
神经科学
刺激
脑电刺激
脑电图
计算机科学
癫痫
信号(编程语言)
癫痫发作
奇异谱分析
脉搏(音乐)
模式识别(心理学)
心理学
生物系统
人工智能
生物
程序设计语言
探测器
电信
奇异值分解
作者
Sepehr Shirani,Antonio Valentin,Gonzalo Alarcon,Farhana Kazi,Saeid Sanei
标识
DOI:10.1142/s0129065723500089
摘要
To enable an accurate recognition of neuronal excitability in an epileptic brain for modeling or localization of epileptic zone, here the brain response to single-pulse electrical stimulation (SPES) has been decomposed into its constituent components using adaptive singular spectrum analysis (SSA). Given the response at neuronal level, these components are expected to be the inhibitory and excitatory components. The prime objective is to thoroughly investigate the nature of delayed responses (elicited between 100[Formula: see text]ms-1 s after SPES) for localization of the epileptic zone. SSA is a powerful subspace signal analysis method for separation of single channel signals into their constituent uncorrelated components. The consistency in the results for both early and delayed brain responses verifies the usability of the approach.
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