Exploring the Role of Theta-Gamma Coupling in Working Memory Tasks: A Study on N-Back, Digit Span, and Corsi Span Performance

Alfia Parvez, Arshia Khan

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Theta-Gamma Coupling (TGC) has been identified over the past decade as a stable biomarker of information ordering during the performance of working memory tasks, such as the N-back task. Previous research also suggests that reducing prefrontal cortical theta phase-gamma amplitude coupling (TGC) is an early indicator of cognitive impairment. This study aimed to reaffirm the relationship between TGC and accuracy during the N-back working memory task and to establish a relationship between TGC and performance in a healthy population during the Digit Span and Corsi Span working memory tasks, which require ordering information in different formats. Thirty-six healthy participants (18 males and 18 females; mean age: 23.64, SD: 3.85) were recruited. The results of this study demonstrate a statistically significant positive correlation between TGC and performance across all three tasks using Spearman’s and Pearson’s correlation analyses. Results: N-back—Spearman’s correlation (ρ = 0.46, p = 0.006), Pearson’s correlation (ρ = 0.37, p = 0.033); Digit Span task—Spearman’s correlation (ρ = 0.56, p = 0.001), Pearson’s correlation (ρ = 0.51, p = 0.014) and Corsi-Span task—Spearman’s correlation (ρ = 0.44, p = 0.016), Pearson’s correlation (ρ = 0.46, p = 0.004). Moreover, no statistically significant differences were found in TGC for all three tasks based on Gender. Conclusion: The results of this study provide direct evidence of a relationship between Theta-Gamma Coupling and performance during working memory tasks that require information ordering, reaffirming its stability as a neurophysiological biomarker for working memory and its potential in detecting cognitive impairment.

    Original languageEnglish (US)
    Title of host publication2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9798350350548
    DOIs
    StatePublished - 2024
    Event2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024 - Nara, Japan
    Duration: Nov 18 2024Nov 20 2024

    Publication series

    Name2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024

    Conference

    Conference2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024
    Country/TerritoryJapan
    CityNara
    Period11/18/2411/20/24

    Bibliographical note

    Publisher Copyright:
    © 2024 IEEE.

    Keywords

    • Corsi Span
    • Digit Span
    • N-back
    • Theta Gamma Coupling
    • Working Memory

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