Obsessive Compulsive Disorder: A Pathology of Self-Confidence?

Julian Kiverstein1, Erik Rietveld2, Heleen A Slagter3

  • 1Academic Medical Centre, Department of Psychiatry, University of Amsterdam, Amsterdam, The Netherlands; Institute of Logic, Language and Computation, University of Amsterdam, Amsterdam, The Netherlands.

Summary

Deep brain stimulation (DBS) for obsessive-compulsive disorder (OCD) immediately boosts patient self-confidence. This neurocognitive effect is explained by active inference principles.

Related Concept Videos

Obsessive-Compulsive Disorder01:28

Obsessive-Compulsive Disorder

Obsessive-compulsive disorder (OCD) is a mental health condition characterized by recurrent obsessions, compulsions, or both, which consume significant time and interfere with daily functioning. Obsessions involve persistent, intrusive, and unwanted thoughts, images, or urges that evoke anxiety. Common examples include irrational fears of contamination or harm. Compulsions are repetitive behaviors or mental acts performed to reduce the anxiety caused by obsessions. For instance, individuals...
554
Personality Disorders: Dependent and Obsessive-Compulsive01:24

Personality Disorders: Dependent and Obsessive-Compulsive

Dependent personality disorder and obsessive-compulsive personality disorder are two separate psychological conditions that influence behavior, relationships, and overall life functioning. Though both involve maladaptive behaviors, their core characteristics and motivations differ significantly.
 Dependent Personality Disorder
Dependent personality disorder is characterized by an excessive reliance on others to manage various aspects of life. Individuals with this disorder often struggle...
431
Confidence Coefficient01:24

Confidence Coefficient

The confidence coefficient is also known as the confidence level or degree of confidence. It is the percent expression for the probability, 1-α, that the confidence interval contains the true population parameter assuming that the confidence interval is obtained after sufficient unbiased sampling; for example, if the CL = 90%, then in 90 out of 100 samples the interval estimate will enclose the true population parameter. Here α is the area under the curve, distributed equally under...
10.5K
Confidence Intervals01:21

Confidence Intervals

An unbiased point estimate is often insufficient to predict a population estimate, such as population mean or population proportion. In this scenario, a confidence interval is used. A confidence interval is an estimate similar to a  sample proportion. However, unlike the point estimate which is a single value, the confidence interval  contains a range of values. These values have lower and upper limits, known as confidence limits, and can be designated as L1 and L2, respectively.
A...
10.2K
Uncertainty: Confidence Intervals00:54

Uncertainty: Confidence Intervals

The confidence interval is the range of values around the mean that contains the true mean. It is expressed as a probability percentage. The interpretation of a 95% confidence interval, for instance, is that the statistician is 95% confident that the true mean falls within the interval. The upper and lower limits of this range are known as confidence limits. The confidence limits for the true mean are estimated from the sample's mean, the standard deviation, and the statistical factor...
10.4K
Interpretation of Confidence Intervals01:19

Interpretation of Confidence Intervals

A confidence interval is a better estimate of the population than a point estimate, as it uses a range of values from a sample instead of a single value.
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...
9.4K