Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Gupta, Sahen; Reddy, Jayasankara Title A name given to the resource EEG Signatures of Resilience Across Individuals With High and Low Anxiety Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived NeuroRegulation;Volume;12;Issue;1;pp.12-28 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.15540/nr.12.1.12" target="_blank" rel="noreferrer noopener">https://doi.org/10.15540/nr.12.1.12</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105001418722?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105001418722?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Gupta S., University of Portsmouth, School of Psychology, Sport &amp; Health Sciences, Portsmouth, United Kingdom; Reddy J., CHRIST (Deemed to be University), Department of Psychology, Bengaluru, India Description An account of the resource Background. Over the past decade, psychological resilience has become a key focus in psychological science. However, most research relies on self-report and psychosocial assessments to explore resilience across different populations and contexts. Methods. This two-phased study examined resilience using self-reported measures and EEG recordings. Phase 1 involved a cross-sectional analysis of resilience and anxiety in young adults using correlation and regression analysis. Phase 2 utilized a grouped experimental design with EEG resting-state recordings to compare high- and low-resilience individuals. EEG data were collected using a 64-channel Geodesic Sensor Net, NetAmps 400 Amplifiers, and NetStation Acquisition 5.0 Software. Spectral analysis was performed for group comparisons. Results. Significant EEG differences emerged between high- and low-resilience groups in the anterior midline, right frontal, right central, left parietal, and right parietal regions. Alpha band differences were predominantly frontal and right-sided, while beta band differences were posterior and left-sided. Conclusions. Results of the two phased study bridge the gap between psychosocial measures and electrophysiological measures in the study of resilience and anxiety. A conceptual model based on the findings is outlined to guide future research to investigate the mechanism between resilience and clinical presentations of anxiety and/or depression at the psychosocial and electrophysiological level. Copyright: 2025. Gupta and Reddy. Subject The topic of the resource anxiety; EEG; neuropsychology; resilience; young adults Publisher An entity responsible for making the resource available International Society for Neurofeedback and Research Relation A related resource ISSN: 23730587; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online