基于voxel的纹理相似性网络揭示了个体的变异性,并与生物本体学相关联
Liyuan Lin1, Zhongyu Chang1, Yu Zhang2
1Department of Radiology, Tianjin Key Lab of Functional Imaging & Tianjin Institute of Radiology, Tianjin Medical University General Hospital, Tianjin 300052, China.
NeuroImage
|June 15, 2024
概括
这项研究引入了基于voxel的纹理相似性网络 (vTSNs) 来映射大脑结构和功能. vTSNs提供了一种强大的方法来理解个体大脑的变化及其与行为和生物学的联系.
科学领域:
- 神经科学是一个神经科学.
- 神经成像是一种神经成像.
- 计算生物学 计算生物学
背景情况:
- 人类大脑复杂的层次网络组织及其结构共变性模式需要进一步阐明.
- 了解大脑共变网络的生物基质对于神经科学至关重要.
研究的目的:
- 引入一种新的个性化结构共变性网络,即基于voxel的纹理相似性网络 (vTSNs).
- 验证vTSN在链接大脑结构,功能和行为方面的强度,可靠性和生物可信性.
主要方法:
- 开发了使用76个基于voxel的结构特征的结构MRI的vTSN.
- 在三个独立的队列中验证了vTSN,并将它们与基于区域的纹理相似性网络 (rTSNs) 进行了比较.
- 分析了与基因表达,神经递质和大规模大脑组织图的关联.
主要成果:
- 与rTSNs相比,vTSNs表现出高的测试-重新测试可靠性,并更好地解决了主体间的变化.
- 与rTSN相比,vTSN与基因表达相似性网络 (GESN) 的关联性更强.
- 确定了3个具有明显的生物层次组织和与各种生物和功能地图相关联的vTSN子网络.
- vTSNs灵敏地检测到性别差异,并解释了认知和运动功能的显著行为差异.
- 发现了衰老和vTSN强度之间的显著关联,特别是在皮下皮层-边缘和背部新皮层连接中.
结论:
- vTSNs提供了一种强大而生物学上可信的方法来发现个体大脑的变异性.
- 这种新的网络方法可以将神经生物学过程与人类一生中的行为联系起来.
- vTSNs有望为未来的大脑组织,个体差异和神经系统疾病的研究提供希望.
相关概念视频
Evolutionary Relationships through Genome Comparisons
5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.7K
Modeling and Similitude
261
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
261
Variability: Analysis
140
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
140
Genetic Variation
273
Genetic variation is the diversity in DNA sequences found among individuals of the same species. This diversity is crucial for a species' survival because it helps organisms adapt to environmental changes. Genetic variation begins with fertilization, where an egg and sperm cell merge. Each of these cells carries 23 chromosomes, up to 46 in the fertilized egg. Chromosomes are long DNA strands that contain genes, the basic units of heredity.
Genes exist in different versions called alleles,...
Genes exist in different versions called alleles,...
273
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,...
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
Multicompartment Models: Overview
128
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,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
128


