Loading clinical trials...
Loading clinical trials...
Attention, Memory, Self-reflection and Insight, and Quality of Life in Post-COVID-19 Adults
The pandemic has highlighted social, economic, educational, and political issues that have affected the health and quality of life of millions of Brazilians. Currently, attention and memory impairment remains predominant among the cognitive symptoms of Coronavirus observed in adults. The persistance of the reffered impairment after 12 weeks of COVID-19 is known as cognitive impairment in post-COVID-19 syndrome. Despite studies indicating the negative effects of COVID-19 on attention and memory, there is a gap in the literature regarding its effects on self-reflection and insight. Previous studies highlight the role of self-awareness as an essential cognitive process that aids the criation of a resolution for the social consequences of the ongoing pandemic. Thus, understanding the relationship between self-reflection, insight, memory, and quality of life in adults that presented COVID-19 could reveal how memory loss might affect the ability to evaluate and understand one's own behaviors and quality of life. Moreover, this study could provide a background for future interventions to enhance attention, memory, self-reflection, and insight in this population. In this context, quantitative electroencephalogram neurofeedback training (EEGq-NFT) is a promising non-invasive intervention designed to improve cognition, such as attention and working memory. By modifying electrophysiological patterns in the cerebral cortex. Considering the information presented, the question is what is the relationship between cognitive failures, self-reflection and insight, and quality of life in adults who had COVID-19, and what is the efficacy of EEGq-NFT training in rehabilitating attention and working memory in adults with cognitive impairment due to post-COVID-19 syndrome. This study aims to examine the relationship between cognitive failures, self-reflection, insight, and quality of life in adults post-COVID-19, as well as to assess the efficacy of EEGq-NFT in improving attention and working memory in adults with cognitive impairment due to post-COVID-19 syndrome. Method 1 will employ a survey with cross-sectional design and quantitative data analysis. A total of 385 adults will be recruted. Data will be collected through online forms. Cognitive Failures Questionnaire, Self-Reflection and Insight Scale and WHOQOL-bref scale will be used. In Method 2, a quasi-experimental with quantitative data analysis will be employed. A total of 60 participants will be randomly assigned to an EEGq neurofeedback training group (n = 20), an active control group called SHAM EEGq-neurofeedback (n = 20), and a waiting list control group (n = 20). The theta/beta ratio reduction protocol at Cz will be used, with 10 sessions of 30 minutes each. The Psychological Battery of Attention 2 (BPA-2) and Digit Span Test will be employed to measure attention and working memory levels. Statistical analyses will be performed using IBM SPSS version 25 with statistical significance set at p \< 0.05 for a 95% confidence interval. The research follows all ethical standards for studies involving human subjects and was submitted for review and approval at the Research Ethics Committee. A understanding of memory levels, self-reflection, insight, and quality of life in adults post- COVID-19 is expected as a result of the present study. Additionally, this study expects that EEGq-NFT will be effective in reducing the theta/beta ratio, as well as improving attention and working memory in adults with cognitive impairment in post-COVID-19 syndrome.
Age
18 - 60 years
Sex
ALL
Healthy Volunteers
Yes
Santos Dumont Institute
Macaíba, Rio Grande do Norte, Brazil
Start Date
June 10, 2025
Primary Completion Date
October 31, 2025
Completion Date
December 31, 2025
Last Updated
June 12, 2025
60
ESTIMATED participants
qEEG-neurofeedback
BEHAVIORAL
SHAM qEEG-neurofeedback
BEHAVIORAL
Lead Sponsor
Jade Carvalho Da Silva
Collaborators
NCT06721949
NCT06631287
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
Neither the United States Government nor Clareo Health make any warranties regarding the data. Check ClinicalTrials.gov frequently for updates.
View ClinicalTrials.gov Terms and ConditionsNCT06086366