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相关概念视频

Multicompartment Models: Overview01:14

Multicompartment Models: Overview

137
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
137
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

68
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
68
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

38
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
38
Protein Networks02:26

Protein Networks

3.9K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
3.9K

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相关实验视频

Updated: Jun 26, 2025

Modeling the Functional Network for Spatial Navigation in the Human Brain
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网络:个性化的功能网络建模工具箱.

Yuncong Ma1,2, Hongming Li1,2, Zhen Zhou1,2

  • 1Center for Biomedical Image Computing and Analytics (CBICA), the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104 USA.

bioRxiv : the preprint server for biology
|May 15, 2024
PubMed
概括

我们从fMRI数据开发了pNet,这是个性化功能网络 (FN) 的开源工具箱. 它提高了脑研究在发育,衰老和疾病方面的可靠性和可重复性.

科学领域:

  • 神经成像是一种神经成像.
  • 计算神经科学是一种神经科学.
关键词:
个性化功能网络个性化功能网络功能连贯性优化 功能连贯性优化功能性磁共振成像技术 功能性磁共振成像技术独立性增强 独立性增强这是一个开源工具箱.质量控制质量控制质量控制

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  • 绘制大脑地图 绘制大脑地图

    • 背景情况:

    • 功能磁共振成像 (fMRI) 的个性化功能网络 (FNs) 揭示了个人的大脑功能拓.
    • 了解FN的变异对于研究大脑发育,衰老和神经系统疾病至关重要.
    • 目前用于导出FN的方法可能缺乏临床应用的可靠性和可重复性.

    结论:

    • pNet提高了从fMRI数据中获得的个性化功能网络的可靠性和可重复性.
    • 该工具箱是有效和用户友好的,通过对两个fMRI数据集的评估来证明.
    • pNet促进了对个体大脑变异及其与各种疾病相关的先进研究.