对于一个双状态模型的动态功能连接参数的测试-重新测试可靠性
Xiaojing Fang1, Michael Marxen1
1Department of Psychiatry, Technische Universität Dresden, Dresden, Germany.
Network neuroscience (Cambridge, Mass.)
|March 31, 2025
概括
调查动态功能连接 (dFC) 可靠性显示,状态流行是跨会话最稳定的参数. 较短的扫描和主体内中心化降低了可靠性,影响了大脑连接分析.
科学领域:
- 神经科学是一个神经科学.
- 脑部成像 脑部成像
- 网络科学 网络科学
背景情况:
- 神经成像参数的可靠性对于准确的相关性分析至关重要.
- 动态功能连接 (dFC) 提供了对随着时间的推移大脑功能的洞察.
- 了解dFC措施的稳定性对于可靠的研究结果至关重要.
研究的目的:
- 评估动态功能连接 (dFC) 大脑状态和相关参数的测试-重新测试可靠性.
- 评估扫描长度,图谱大小和数据中心对dFC可靠性的影响.
- 为未来的研究确定最可靠的dFC参数,特别是在相关性研究中.
主要方法:
- 在23名参与者中研究了两个dFC大脑状态的测试-重新测试可靠性,在501名受试者中复制 (人类结合体项目).
- 根据扫描持续时间,地图解像度 (116与442个区域) 和数据中心化技术,对可靠性的变化进行了检查.
- 计算了类内相关系数 (ICC) 来量化dFC状态和参数的可靠性.
主要成果:
- 确定了两个不同的dFC状态 (集成和分离),具有高的会话间可靠性 (ICC ≥ 0.67).
- 国家患病率显示出最高可靠性 (ICC ≈0.5) 大约15分钟的无中心数据.
- 较短的扫描持续时间和主体内部数据中心显著降低了参数可靠性,而天文图谱选择没有明显的影响.
结论:
- 国家患病率被推为最可靠的dFC参数,用于横截面研究和与其他学科特异性措施的相关性分析.
- 这些发现强调了在解释dFC结果时考虑扫描长度和数据中心的重要性.
- 该研究为优化神经科学研究中dFC测量的可靠性提供了实际建议.
相关概念视频
Reliability and Validity
Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Goodness-of-Fit Test
The goodness-of-fit test is a type of hypothesis test which determines whether the data "fits" a particular distribution. For example, one may suspect that some anonymous data may fit a binomial distribution. A chi-square test (meaning the distribution for the hypothesis test is chi-square) can be used to determine if there is a fit. The null and alternative hypotheses may be written in sentences or stated as equations or inequalities. The test statistic for a goodness-of-fit test is given as...
Types of Hypothesis Testing
There are three types of hypothesis tests: right-tailed, left-tailed, and two-tailed.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
When the null and alternative hypotheses are stated, it is observed that the null hypothesis is a neutral statement against which the alternative hypothesis is tested. The alternative hypothesis is a claim that instead has a certain direction. If the null hypothesis claims that p = 0.5, the alternative hypothesis would be an opposing statement to this and can be put either p > 0.5, p < 0.5, or p ≠ 0.5.
The Two-State Receptor Model
The two-state receptor model explains a drug's interaction with receptors, such as G protein-coupled receptors and ligand-gated ion channels, to induce or inhibit a biological response. When no natural ligands are present, a receptor exists in an equilibrium of inactive (Ri) and active (Ra) conformations. The inactive form does not produce a response, while the active form generates a basal effect known as constitutive activity.
The binding affinity of a drug determines its interaction with one...
The binding affinity of a drug determines its interaction with one...
Significance Testing: Overview
Significance testing is a set of statistical methods used to test whether a claim about a parameter is valid. In analytical chemistry, significance testing is used primarily to determine whether the difference between two values comes from determinate or random errors. The effect of a particular change in the measurement protocol, analyst, or sample itself can cause a deviation from the expected result. In the case of a suspected deviation/outlier, we need to be able to confirm mathematically...
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with data...


![Studying Metabolic Brain Connectivity Using 2-Deoxy-2-[18F]Fluoro-D-Glucose Dynamic Positron Emission Tomography at the Single-subject Level](/_next/image?url=https%3A%2F%2Fcloudfront.jove.com%2FCDNSource%2Fteasers%2F67458.jpg&w=3840&q=50)