性差异在整个生命周期中大脑网络中的进展
bioRxiv : the preprint server for biology
|February 9, 2026
概括
性别之间的大脑网络差异在成年时出现,并在整个生命周期中发生变化. 功能连接变得不那么明显,而结构连接从中年开始变得更加明显.
科学领域:
- 神经科学是一个神经科学.
- 人类寿命发展 人类寿命发展
- 大脑的连接性 大脑的连接性
背景情况:
- 已知大脑连接的性别差异,但它们的寿命演变不清楚.
- 研究性依赖的大脑网络组织是复杂的,因为高维数据.
- 大脑网络组织的寿命轨迹需要先进的分析方法.
研究的目的:
- 在整个人类生命周期中,绘制大脑网络组织中的性别差异.
- 调查功能和结构连接如何与性别之间的年龄分离或融合.
- 为了确定特定的脑网络,涉及到整个生命的性别差异.
主要方法:
- 在1286名健康个体 (8-100岁以上) 中分析了15个功能和结构连接网络.
- 利用基于人工智能的Krakencoder来实现低维的多式连接体表示.
- 在不同年龄组和性别之间比较网络组织.
主要成果:
- 大脑网络中的性别差异在童年时是最小的,在成年时增加,并在以后的生活中分歧.
- 功能性连接差异从中年开始减少,而结构性连接差异增加.
- 高阶关联网络显示功能上的差异;低阶路径显示结构上的差异.
结论:
- 这项研究提供了一个全面的,整个生命周期的脑网络性别差异的地图.
- 研究结果强调了大脑网络组织中的年龄和性别特异性模式.
- 了解这些差异可能会告知神经系统疾病的性别特异性风险和弹性.
相关概念视频
Sex-linked Disorders
109.1K
Like autosomes, sex chromosomes contain a variety of genes necessary for normal body function. When a mutation in one of these genes results in biological deficits, the disorder is considered sex-linked.
109.1K
Protein Networks
4.6K
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,...
4.6K
Network Covalent Solids
16.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
16.2K
Electric Potential and Potential Difference
5.8K
Suppose a positive test charge moves away from a positive static charge, then the Coulomb force does positive work, and its electric potential energy decreases. The potential energy per unit charge is defined as the electric potential. The electric potential is independent of the test charge.
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
When a test charge moves from the initial to the final position, the electric potential difference between those positions is defined as the ratio of the change in the potential energy to the charge on the...
5.8K
Difference from Background: Limit of Detection
8.4K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
The LOD indicates the presence or absence...
8.4K
Identifying Statistically Significant Differences: The F-Test
3.9K
The F-test is used to compare two sample variances to each other or compare the sample variance to the population variance. It is used to decide whether an indeterminate error can explain the difference in their values. The underlying assumptions that allow the use of the F-test include the data set or sets are normally distributed, and the data sets are independent of each other. The test statistic F is calculated by dividing one variance by another. In other words, the square of one standard...
3.9K


