AI Article Synopsis

  • The RDoC project, initiated by the National Institute of Mental Health, aims to develop a new diagnostic framework that incorporates various factors including genetics and self-reports to understand mental health disorders.
  • A study involving 41 anxious patients used quantitative electroencephalography (qEEG) to analyze brain activity and executive functions through tests like the Executive Intelligence Test (EXIT).
  • Results showed a significant inverse relationship between delta power in certain brain regions and executive function, suggesting that increased delta activity may negatively impact executive functions related to anxiety.

Article Abstract

The Research Domain Criteria (RDoC) project was proposed by the National Institute of Mental Health in 2010 to create a new diagnostic system including symptoms and data from genetics, neuroscience, physiology, and self-reports. The purpose of this study was to determine the link between anxiety and executive functions through quantitative electroencephalography (qEEG) based on the RDoC system. Nineteen-channel EEGs were recorded at the psychiatric clinic from 41 patients with symptoms of anxiety. The EEG power spectra were analysed. The Executive Intelligence Test (EXIT) including the K-WAIS-IV, Stroop, controlled oral word association, and the design fluency tests were performed. A partial, inversed, and significant association was observed between executive intelligence quotient (EIQ) and the absolute delta power in the central region. Similarly, a partial, inversed, and significant association was observed between design fluency and the absolute delta power in the left parietal area. Our findings suggest that the increase in delta power in the central region and left P3 was negatively correlated with the decrease in executive function. It is expected that the absolute delta power plays a specific role in the task-negative default mode network in the relationship between anxiety and executive function.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7596478PMC
http://dx.doi.org/10.1038/s41598-020-75626-0DOI Listing

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