Related Experiment Video
Updated: Jun 6, 2025
08:51
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
Published on: November 1, 2019
5.6K
Multiscale detrended cross-correlation coefficient: estimating coupling in non-stationary neurophysiological signals
Orestis Stylianou1,2,3, Gianluca Susi4,5, Martin Hoffmann1,2
1Berlin Institute of Health at Charité, Universitätsmedizin Berlin, Berlin, Germany.
Frontiers in Neuroscience
|November 28, 2024
Summary
A new method, multiscale detrended cross-correlation coefficient (MDC3), offers a more accurate way to measure functional connectivity in the brain than Pearson
Area of Science:
- Neuroscience
- Network Science
- Signal Processing
Background:
- The brain's functional connectivity (FC) is crucial for understanding its complex network dynamics.
- Pearson's correlation (rP) is a common but limited metric for FC due to signal non-stationarity.
Purpose of the Study:
- Introduce and validate a novel estimator, the multiscale detrended cross-correlation coefficient (MDC3), for coupled dynamics.
- Compare the performance of MDC3 against traditional methods like rP and lagged covariance.
Main Methods:
- Developed the multiscale detrended cross-correlation coefficient (MDC3) estimator.
- Validated MDC3 using simulated time series and functional magnetic resonance imaging (fMRI) data with known connectivity.
- Applied MDC3 to empirical magnetoencephalography (MEG) and fMRI data to construct functional brain networks.
Main Results:
- MDC3 demonstrated higher accuracy than rP and lagged covariance in simulated data.
- Functional brain networks constructed using MDC3 exhibited significantly different properties compared to rP-based networks in empirical data.
- MDC3 revealed distinct network properties in healthy populations.
Conclusions:
- MDC3 is a robust and accurate method for estimating functional connectivity.
- MDC3 offers a valuable alternative to Pearson's correlation for analyzing neuroimaging data.
- Incorporating MDC3 can enhance future functional connectivity studies.
Related Concept Videos
01:25Correlation between ECG and Cardiac Cycle
3.4K
The electrical signals recorded on an electrocardiogram (ECG) occur before the mechanical processes of contraction and relaxation during the cardiac cycle.
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...
3.4K
01:02¹H NMR: Interpreting Distorted and Overlapping Signals
1.0K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.0K
01:15Drug Concentration Versus Time Correlation
631
The plasma drug concentration-time curve is a crucial tool in pharmacokinetics, representing the drug's concentration in plasma at different time intervals post-administration. This curve illustrates the drug's journey from absorption into the systemic circulation, distribution to body tissues, and eventual elimination through excretion or biotransformation.
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
Two pivotal parameters are the minimum effective concentration (MEC) and the minimum toxic concentration (MTC). The MEC is the...
631
01:10Calibration Curves: Correlation Coefficient
1.5K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
1.5K
01:182D NMR: Overview of Heteronuclear Correlation Techniques
158
Heteronuclear correlation spectroscopy is an analytical technique that investigates the coupling between different types of nuclei, often a proton and an X-nucleus, such as carbon-13 or nitrogen-15. This method is commonly used in nuclear magnetic resonance (NMR) spectroscopy to gain insights into complex chemical compounds' structural and compositional aspects. A typical heteronuclear correlation spectrum displays X-nucleus chemical shifts on one axis and a proton spectrum on the other...
158