Scalp Electroencephalogram-Derived Involvement Indexes during a Working Memory Task Performed by Patients with Epilepsy

Sensors (Basel). 2024 Jul 18;24(14):4679. doi: 10.3390/s24144679.

Abstract

Electroencephalography (EEG) wearable devices are particularly suitable for monitoring a subject's engagement while performing daily cognitive tasks. EEG information provided by wearable devices varies with the location of the electrodes, the suitable location of which can be obtained using standard multi-channel EEG recorders. Cognitive engagement can be assessed during working memory (WM) tasks, testing the mental ability to process information over a short period of time. WM could be impaired in patients with epilepsy. This study aims to evaluate the cognitive engagement of nine patients with epilepsy, coming from a public dataset by Boran et al., during a verbal WM task and to identify the most suitable location of the electrodes for this purpose. Cognitive engagement was evaluated by computing 37 engagement indexes based on the ratio of two or more EEG rhythms assessed by their spectral power. Results show that involvement index trends follow changes in cognitive engagement elicited by the WM task, and, overall, most changes appear most pronounced in the frontal regions, as observed in healthy subjects. Therefore, involvement indexes can reflect cognitive status changes, and frontal regions seem to be the ones to focus on when designing a wearable mental involvement monitoring EEG system, both in physiological and epileptic conditions.

Keywords: alpha rhythm; beta rhythm; brain rhythms; delta rhythm; engagement; epilepsy; gamma rhythm; theta rhythm; working memory.

MeSH terms

  • Adult
  • Cognition / physiology
  • Electrodes
  • Electroencephalography* / methods
  • Epilepsy* / physiopathology
  • Female
  • Humans
  • Male
  • Memory, Short-Term* / physiology
  • Middle Aged
  • Scalp / physiology
  • Wearable Electronic Devices
  • Young Adult

Grants and funding

This research received no external funding.