RT info:eu-repo/semantics/article
T1 EEG biomarkers of cognitive load: Insights from incremental element encoding in short-term working memory
A1 Pascual Roa, Beatriz
A1 SantaMaría Vazquez, Eduardo
A1 Marcos Martínez, Diego
A1 Pérez Velasco, Sergio
A1 Ruiz Gálvez, Rubén
A1 Martínez Cagigal, Víctor
A1 Hornero Sánchez, Roberto
K1 Cognitive load
K1 Electroencephalography (EEG)
K1 Working memory
K1 Element encoding
K1 EEG biomarkers
K1 32 Ciencias Médicas
K1 33 Ciencias Tecnológicas
AB Cognitive load refers to the mental effort required to encode, maintain, and manipulate information. Although previous electroencephalography (EEG) research has examined spectral biomarkers of cognitive load, most studies employed static task paradigms that average neural activity across entire difficulty levels. Such an approach presupposes that cognitive load remains constant within each level, thereby neglecting transient fluctuations that may arise during information processing. To address this limitation, we implemented a novel EEG-based incremental encoding paradigm to track dynamic changes in cognitive load over time. EEG was recorded from 24 healthy young adults performing the Corsi Block-Tapping Test, a visuospatial short- term memory task with sequential stimulus presentation. Items were added one by one to working memory, simulating real-world cognitive demands. Spectral absolute power was estimated across theta (4–8 Hz), alpha (8–13 Hz), low beta (13–20 Hz), high beta (20–30 Hz), and gamma (> 30 Hz) bands in frontal and parietal regions. Independently of the number of encoded elements, spectral power increased relative to rest: frontal theta by 80.52%, parietal theta by 139.66%, and frontal alpha by 17.72%, reflecting general attention engagement. In contrast, low beta power decreased consistently as more items were encoded (𝑝� < 0.01, 𝑟� > 0.5), arising as the most reliable biomarker of incremental memory load. A spectral shift toward higher beta frequencies was also observed with increased load. These results challenge the conventional understanding of theta as a biomarker of working memory and highlight beta-band dynamics as key to real-time cognitive monitoring in adaptive systems
PB Elsevier
SN 1746-8094
YR 2026
FD 2026
LK https://uvadoc.uva.es/handle/10324/78655
UL https://uvadoc.uva.es/handle/10324/78655
LA eng
NO Biomedical Signal Processing and Control, 2025, vol. 112, p. 108511
NO Producción Científica
DS UVaDOC
RD 16-oct-2025