Related Experiment Video
Updated: Feb 11, 2026
08:05
A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
Published on: January 5, 2018
10.2K
Polymorphisms that affect GABA neurotransmission predict processing of aversive prediction errors in humans
Irina Baetu1, Julia B Pitcher1, Sarah Cohen-Woods2
1University of Adelaide, Australia.
Neuroimage
|April 30, 2018
Summary
Genetic differences in GABA neurotransmission influence how humans process prediction errors, crucial for learning. Lower GABA signaling is linked to impaired aversive learning and may contribute to anxiety disorders.
Area of Science:
- Neuroscience
- Genetics
- Psychology
Background:
- Learning involves adjusting expectations based on prediction errors.
- Aberrant learning processes are implicated in anxiety disorders.
- Animal studies suggest GABA neurotransmission is vital for prediction error computation.
Purpose of the Study:
- To investigate if genetic variations in GABA neurotransmission predict prediction error processing in humans.
- To explore the neural mechanisms linking GABA, learning, and anxiety.
Main Methods:
- Two independent samples of Caucasian individuals were studied.
- A weighted genetic risk score was computed based on GABRB2 and ErbB4 gene variants.
- Electroencephalography (EEG) measured the P3 event-related potential during aversive classical conditioning.
Main Results:
- Genetic risk scores predicted optimal prediction error processing in response to visual and auditory aversive stimuli.
- Individuals with genetic predispositions for decreased GABA neurotransmission showed reduced processing of aversive prediction errors.
- P3 event-related potential amplitude correlated with genetic risk scores.
Conclusions:
- Genetically determined differences in GABA neurotransmission influence human prediction error processing.
- Reduced GABA signaling may lead to aberrant learning from aversive experiences.
- This provides a potential mechanism linking GABA and vulnerability to anxiety disorders.
Related Concept Videos
02:27Predicting Molecular Geometry
46.1K
VSEPR Theory for Determination of Electron Pair Geometries
46.1K
01:03Prediction Intervals
3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.
3.4K
01:13Sensitivity, Specificity, and Predicted Value
1.4K
In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
Sensitivity is the...
1.4K
01:07End Point Prediction: Gran Plot
1.2K
A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting...
For potentiometric titration, the Gran plot is created by plotting...
1.2K
02:24Predicting Reaction Outcomes
11.0K
Kinetics describes the rate and path by which a reaction occurs. In contrast, thermodynamics deals with state functions and describes the properties, behavior, and components of a system. It is not concerned with the path taken by the process and cannot address the rate at which a reaction occurs. Although it does provide information about what can happen during a reaction process, it does not describe the detailed steps of what appears on an atomic or a molecular level. On the other hand,...
11.0K
02:52Predicting Products: Substitution vs. Elimination
14.8K
When a nucleophile and an alkyl halide react, nucleophilic substitution and β-elimination reactions compete to generate products.
The following factors can influence the mechanisms competing against each other:
The following factors can influence the mechanisms competing against each other:
14.8K