EEG-based detection of cognitive load using VMD and LightGBM classifier

Jain, Prince; Yedukondalu, Jammisetty; Chhabra, Himanshu; Chauhan, Urvashi; Sharma, Lakhan Dev

doi:10.1007/s13042-024-02142-2

Cited by 14 publications

(1 citation statement)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In addition to its role in emotional processes, EEG findings also shed light on the correlation between specific frequency bands and cognitive processing, emphasizing the importance of distinct EEG measures (Yedukondalu and Sharma, 2023a;Jain et al, 2024;Yedukondalu et al, 2024). For instance, the theta/beta ratio (TBR) at central areas (like the Cz electrode) (Clarke et al, 2019), and the individual frontal alpha peak frequency (APF) as trait-like parameters of EEG (Sambrook and Goslin, 2015), could serve as indicative measures of cognitive processing capacity and performance (Finley et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Differential roles of brain oscillations in numerical processing: evidence from resting-state EEG and mental number line

Sabaghypour,

Navi,

Basiri

et al. 2024

Front. Hum. Neurosci.

View full text Add to dashboard Cite

Recent works point to the importance of emotions in special-numerical associations. There remains a notable gap in understanding the electrophysiological underpinnings of such associations. Exploring resting-state (rs) EEG, particularly in frontal regions, could elucidate emotional aspects, while other EEG measures might offer insights into the cognitive dimensions correlating with behavioral performance. The present work investigated the relationship between rs-EEG measures (emotional and cognitive traits) and performance in the mental number line (MNL). EEG activity in theta (3–7 Hz), alpha (8–12 Hz, further subdivided into low-alpha and high-alpha), sensorimotor rhythm (SMR, 13–15 Hz), beta (16–25 Hz), and high-beta/gamma (28–40 Hz) bands was assessed. 76 university students participated in the study, undergoing EEG recordings at rest before engaging in a computerized number-to-position (CNP) task. Analysis revealed significant associations between frontal asymmetry, specific EEG frequencies, and MNL performance metrics (i.e., mean direction bias, mean absolute error, and mean reaction time). Notably, theta and beta asymmetries correlated with direction bias, while alpha peak frequency (APF) and beta activity related to absolute errors in numerical estimation. Moreover, the study identified significant correlations between relative amplitude indices (i.e., theta/beta ratio, theta/SMR ratio) and both absolute errors and reaction times (RTs). Our findings offer novel insights into the emotional and cognitive aspects of EEG patterns and their links to MNL performance.

show abstract