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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...
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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.
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Correlation between precontemplation and alpha activity in gambling disorder.

Jaewon Lee1, Sam-Wook Choi2, Kyoung Min Kim3

  • 1Department of Psychiatry, Easybrain Center, Seoul, Republic of Korea.

Neuropsychiatric Disease and Treatment
|August 17, 2019
PubMed
Summary

Resting-state electroencephalogram (EEG) alpha activity in patients with gambling disorder correlates with precontemplation stages of change. This finding may help clinicians assess and treat gambling disorder more effectively.

Keywords:
alpha activitygambling disorderquantitative electroencephalographystages-of-change model

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Clinical Psychology

Background:

  • Gambling disorder is a psychiatric condition marked by persistent, maladaptive gambling behaviors.
  • Understanding the neurophysiological underpinnings of gambling disorder is crucial for developing effective treatments.

Purpose of the Study:

  • To evaluate resting-state electroencephalogram (EEG) characteristics in patients diagnosed with gambling disorder.
  • To explore the association between EEG patterns and stages of change within the transtheoretical model.

Main Methods:

  • Sixty-three male participants from a gambling disorder clinic underwent resting-state EEG and completed questionnaires, including the Readiness to Change Questionnaire (RCQ).
  • Ward's method was used for cluster analysis of EEG data, with independent sample t-tests and Pearson's partial correlation analysis employed for statistical evaluation.

Main Results:

  • Cluster analysis of alpha activity identified two distinct patient groups.
  • A significant positive correlation was found between the precontemplation score on the RCQ and relative alpha power across most cortical regions.

Conclusions:

  • EEG parameters, specifically alpha activity, may serve as indicators for subtypes or stages of change in gambling disorder.
  • Alpha power, an index of relaxation, could potentially be used as an additional clinical tool for assessing and treating individuals with gambling disorder.