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Updated: May 27, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

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贝叶斯统计建模用于预测磁共振成像中观察者特定的最佳窗口参数.

Kohei Sugimoto1,2, Masataka Oita3, Masahiro Kuroda4

  • 1Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University, 5-1 Shikata-cho, 2-chome, Kita-ku, Okayama, Okayama, 700-8558, Japan.

Heliyon
|August 28, 2023
PubMed
概括

这项研究引入了一种新的贝叶斯框架,用于预测磁共振 (MR) 图像的最佳窗口参数,改善观测者的显示条件. 该方法准确地识别了首选设置,提高了诊断图像质量.

关键词:
贝叶斯统计模型是贝叶斯统计模型.图像强度标准化的标准化图像中的MRI图像.预测 预测 预测窗户的窗户是一个窗户.

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Analyzing Neural Activity and Connectivity Using Intracranial EEG Data with SPM Software

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One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
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