周期频率内容脑电图分析改进了呼吸相关皮层活动的评估。

IF 2.3 4区 医学 Q3 BIOPHYSICS
Xavier Navarro-Sune, Mathieu Raux, Anna L Hudson, Thomas Similowski, Mario Chavez
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引用次数: 0

摘要

脑电图的时频(T-F)分析是描述神经活动频谱变化的常用技术。本研究探讨了利用传统频谱技术检查周期性事件相关皮层活动的局限性,因为这种方法面临着挑战,包括试验间的高变异性。我们引入了周期-频率(C-F)分析,旨在加强对周期锁定呼吸事件的评估。对于模拟周期锁定前运动活动的合成脑电图,与传统的 T-F 分析相比,C-F 具有更准确的频率和时间定位,即使在试验次数显著减少和呼吸节奏多变的情况下也是如此。使用无负荷呼吸和负荷呼吸(唤起前运动活动)期间的真实脑电图数据进行的初步验证表明,使用 C-F 方法具有潜在的优势,特别是在将时间单位归一化为周期性活动阶段以及完善基线位置和持续时间方面。所提出的方法可以为节律性神经活动的研究提供新的见解,并对 T-F 分析进行补充。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cycle-frequency content EEG analysis improves the assessment of respiratory-related cortical activity.

Objective. Time-frequency (T-F) analysis of electroencephalographic (EEG) is a common technique to characterise spectral changes in neural activity. This study explores the limitations of utilizing conventional spectral techniques in examining cyclic event-related cortical activities due to challenges, including high inter-trial variability.Approach. Introducing the cycle-frequency (C-F) analysis, we aim to enhance the evaluation of cycle-locked respiratory events. For synthetic EEG that mimicked cycle-locked pre-motor activity, C-F had more accurate frequency and time localization compared to conventional T-F analysis, even for a significantly reduced number of trials and a variability of breathing rhythm.Main results. Preliminary validations using real EEG data during both unloaded breathing and loaded breathing (that evokes pre-motor activity) suggest potential benefits of using the C-F method, particularly in normalizing time units to cyclic activity phases and refining baseline placement and duration.Significance. The proposed approach could provide new insights for the study of rhythmic neural activities, complementing T-F analysis.

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来源期刊
Physiological measurement
Physiological measurement 生物-工程:生物医学
CiteScore
5.50
自引率
9.40%
发文量
124
审稿时长
3 months
期刊介绍: Physiological Measurement publishes papers about the quantitative assessment and visualization of physiological function in clinical research and practice, with an emphasis on the development of new methods of measurement and their validation. Papers are published on topics including: applied physiology in illness and health electrical bioimpedance, optical and acoustic measurement techniques advanced methods of time series and other data analysis biomedical and clinical engineering in-patient and ambulatory monitoring point-of-care technologies novel clinical measurements of cardiovascular, neurological, and musculoskeletal systems. measurements in molecular, cellular and organ physiology and electrophysiology physiological modeling and simulation novel biomedical sensors, instruments, devices and systems measurement standards and guidelines.
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