Related Experiment Video
Updated: Jan 27, 2026

07:39
How to Obtain Reliable Visual Event-related Potentials in Newborns
Published on: October 24, 2019
6.8K
Inhibitory-control event-related potentials correlate with individual differences in alcohol use
Laura O'Halloran1, Laura M Rueda-Delgado1, Lee Jollans1
1School of Psychology, Trinity College Dublin, Dublin, Ireland.
Addiction Biology
|March 29, 2019
Summary
Inhibitory control measured by event-related potentials (ERPs) robustly predicts individual differences in alcohol use. Behavioral impulsivity measures also correlate with alcohol use, but ERPs offer a stronger electrophysiological link.
Area of Science:
- Neuroscience
- Psychology
- Addiction Research
Background:
- Impulsivity is a key factor in alcohol use, abuse, and dependence.
- Inhibitory control, a facet of impulsivity, is assessed via the stop-signal task (SST) using behavioral (stop-signal reaction time, SSRT) and electrophysiological (event-related potentials, ERPs) measures.
- Previous research on the link between alcohol use and inhibitory control measures is inconsistent.
Purpose of the Study:
- To investigate the relationship between individual differences in alcohol use and measures of impulsivity, specifically inhibitory control.
- To determine the predictive power of electrophysiological (ERPs) and behavioral measures of inhibitory control on alcohol use.
Main Methods:
- Adult alcohol users (n=79) completed the SST under electroencephalography (EEG).
- Alcohol use was assessed using the Alcohol Use Disorders Identification Test (AUDIT).
- Machine learning with penalized linear regression and out-of-sample validation was employed to correlate alcohol use with impulsivity measures (ERPs, SSRT, Stroop interference).
Main Results:
- Event-related potentials (ERPs) alone statistically predicted alcohol use (cross-validated r=0.28), with both early (N2) and late (P3) components contributing.
- Behavioral impulsivity measures, particularly the Stroop interference effect, were also associated with alcohol use (r=0.37), while SSRT was a weaker predictor.
- Combining ERPs with non-ERP behavioral data did not significantly improve the prediction of alcohol use.
Conclusions:
- Inhibitory control as measured by event-related potentials (ERPs) demonstrates a robust correlation with individual differences in alcohol use.
- Electrophysiological measures of inhibitory control provide valuable insights into the neurobiological underpinnings of alcohol use patterns.
Keywords:
alcoholelectroencephalographyevent-related potentialshuman adultsimpulsivitymachine learningMore Related Videos
Related Concept Videos
Electric Potential and Potential Difference
5.6K
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...
5.6K
Correlations
35.8K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
35.8K
Correlation and Causation
42.5K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.5K
Controlled-Potential Coulometry: Electrolytic Methods
693
Controlled-potential coulometry, also known as potentiostatic coulometry, employs a three-electrode system in which the working electrode's potential is precisely regulated using a potentiostat. Platinum working electrodes are utilized for positive potentials, while mercury pool electrodes are favored for extremely negative potentials. The platinum counter electrode is separated from the analyte using a membrane or salt bridge to avoid interference in the analysis.
The chosen potential...
The chosen potential...
693
Standard Electrode Potentials
50.1K
On comparing the reactivity of silver and lead, it is observed that the two ionic species, Ag+ (aq) and Pb2+ (aq), show a difference in their redox reactivity towards copper: the silver ion undergoes spontaneous reduction, while the lead ion does not. This relative redox activity can be easily quantified in electrochemical cells by a property called cell potential. This property is commonly known as cell voltage in electrochemistry, and it is a measure of the energy which accompanies the charge...
50.1K
Correlation
14.8K
In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
14.8K

