COGNITIVE LOAD AND RECOVERY: AN ANALYSIS OF EEG FREQUENCIES IN ATTENTION RESTORATION

COGNITIVE LOAD AND RECOVERY: AN ANALYSIS OF EEG FREQUENCIES IN ATTENTION RESTORATION | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL This is a preprint and has not been peer reviewed. Data may be preliminary. 10 July 2025 V1 Latest version Share on COGNITIVE LOAD AND RECOVERY: AN ANALYSIS OF EEG FREQUENCIES IN ATTENTION RESTORATION Authors : Obed Apochi 0000-0002-4144-3137 [email protected] , Priyaranjan Maral , and Mshelia Philemon Authors Info & Affiliations https://doi.org/10.22541/au.175214751.17703070/v1 246 views 179 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Attention restoration is a critical process for recovering cognitive resources after mental fatigue or stress, and electroencephalography (EEG) provides a non-invasive method to study the brain’s electrical activity. This study aims to investigate the role of EEG frequency bands, specifically alpha, beta, and theta, in attention restoration processes. A total of 20 participants (10 males, 10 females) were recruited from the National Forensic Sciences University in Gandhinagar, Gujarat, India, through advertisements on university campuses and social media platforms. EEG power across different frequency bands was measured during various cognitive tasks, including the Stroop task, Simple Time Task (STT), and rest periods. Significant associations were found between theta and alpha frequencies and attention restoration, with mean values of 0.0595 for the Stroop task and 0.0941 for the first rest period (Rest1). Rest periods were linked to enhanced connectivity, indicating that disengagement from demanding tasks facilitates optimal neural communication and recovery of attentional resources. Engaging in demanding cognitive tasks may lead to reduced connectivity, while rest periods, particularly Rest1, promote enhanced neural communication. These findings underscore the importance of incorporating rest into cognitive training and rehabilitation programs to optimize performance and support cognitive recovery. Unlike prior studies focused solely on power spectra, this study also analyzes phase-based EEG connectivity to capture neural reorganization during rest, providing a foundation for future research to explore the complex relationships between cognitive demands, neural dynamics, and restorative processes. Supplementary Material File (main attention restoration.docx) Download 5.98 MB Information & Authors Information Version history V1 Version 1 10 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Keywords attention restoration brain waves cognitive processing electroencephalography Authors Affiliations Obed Apochi 0000-0002-4144-3137 [email protected] National Forensic Sciences University - Gujarat Campus View all articles by this author Priyaranjan Maral National Forensic Sciences University - Gujarat Campus View all articles by this author Mshelia Philemon Abubakar Tafawa Balewa University View all articles by this author Metrics & Citations Metrics Article Usage 246 views 179 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Obed Apochi, Priyaranjan Maral, Mshelia Philemon. COGNITIVE LOAD AND RECOVERY: AN ANALYSIS OF EEG FREQUENCIES IN ATTENTION RESTORATION. Authorea . 10 July 2025. DOI: https://doi.org/10.22541/au.175214751.17703070/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. 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