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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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Psychology is the scientific discipline dedicated to understanding both observable behavior and the internal mental processes underlying such behavior. It aims to comprehend human nature and apply this understanding to solve practical problems, enhance well-being, and improve societal outcomes. An example of psychology's application is the study of prosocial behavior, such as why and under what conditions individuals might help strangers in need. This process involves describing observed...
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Sigmund Freud, an Austrian neurologist born in 1856, significantly influenced psychology through his exploration of the unconscious mind. His interest in patients suffering from hysteria and neurosis — conditions without apparent physical causes — led him to theorize the existence of an unconscious mind, a repository for feelings and urges beyond our awareness. Freud's innovative approach included techniques such as dream analysis, free association, and attention to slips of the...
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Related Experiment Video

Updated: Jan 26, 2026

Brain Source Imaging in Preclinical Rat Models of Focal Epilepsy using High-Resolution EEG Recordings
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Psychological resilience correlates with EEG source-space brain network flexibility.

Véronique Paban1, Julien Modolo2, Ahmad Mheich2

  • 1Aix Marseille University, CNRS, LNSC, Marseille, France.

Network Neuroscience (Cambridge, Mass.)
|April 16, 2019
PubMed
Summary
This summary is machine-generated.

Psychological resilience is linked to brain network flexibility. Lower network flexibility in specific brain regions correlates with higher resilience, suggesting a connection between brain dynamics and personality traits.

Keywords:
EEG source connectivityFlexibilityPsychological resilienceResting state

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Area of Science:

  • Neuroscience
  • Psychology
  • Network Science

Background:

  • Resilience is a key personality trait influencing mental well-being.
  • Understanding the neural basis of personality traits like resilience is crucial.
  • Resting-state functional brain networks offer insights into cognitive and personality characteristics.

Purpose of the Study:

  • To investigate the relationship between resting-state human functional brain network dynamics and psychological resilience.
  • To determine if dynamic network properties, specifically network flexibility, correlate with resilience scores.

Main Methods:

  • Resting-state electroencephalography (EEG) data were collected from 45 healthy individuals.
  • Psychological resilience was measured using the 10-item Connor-Davidson Resilience Scale (CD-RISC).
  • Brain networks were constructed in delta, theta, alpha, and beta EEG frequency bands using source-space connectivity and a sliding windows approach. Network flexibility was calculated.

Main Results:

  • A negative correlation was observed between psychological resilience and brain network flexibility in specific brain regions across delta, alpha, and beta frequency bands.
  • This indicates that individuals with higher resilience tend to exhibit less dynamic functional brain networks.

Conclusions:

  • Network flexibility, a measure of dynamic functional networks, is significantly correlated with psychological resilience.
  • This study demonstrates the potential of using EEG-derived network dynamics to identify reliable biomarkers for personality traits.
  • Further research is warranted to explore the relationship between a broader range of personality aspects and brain functional networks.