# Does Cognitive Load Affect Measures of Consciousness?

**Authors:** André Sevenius Nilsen, Johan Frederik Storm, Bjørn Erik Juel

PMC · DOI: 10.3390/brainsci14090919 · 2024-09-13

## TL;DR

This study investigates how cognitive load affects different measures of consciousness using EEG recordings from participants in varying mental states.

## Contribution

The study evaluates the robustness of consciousness measures against cognitive load, identifying signal diversity-based measures as reliable in clinical contexts.

## Key findings

- The P300b event-related potential was significantly affected by cognitive load.
- Signal diversity-based measures of EEG were not affected by cognitive load.
- Signal diversity-based measures may be suitable for clinical use when attention or sensory processing is impaired.

## Abstract

Background: Developing and testing methods for reliably measuring the state of consciousness of individuals is important for both basic research and clinical purposes. In recent years, several promising measures of consciousness, grounded in theoretical developments, have been proposed. However, the degrees to which these measures are affected by changes in brain activity that are not related to changes in the degree of consciousness has not been well tested. In this study, we examined whether several of these measures are modulated by the loading of cognitive resources. Methods: We recorded electroencephalography (EEG) from 12 participants in two conditions: (1) while passively attending to sensory stimuli related to the measures and (2) during increased cognitive load consisting of a demanding working memory task. We investigated whether a set of proposed objective EEG-based measures of consciousness differed between the passive and the cognitively demanding conditions. Results: The P300b event-related potential (sensitive to conscious awareness of deviance from an expected pattern in auditory stimuli) was significantly affected by concurrent performance on a working memory task, whereas various measures based on signal diversity of spontaneous and perturbed EEG were not. Conclusion: Because signal diversity-based measures of spontaneous or perturbed EEG are not sensitive to the degree of cognitive load, we suggest that these measures may be used in clinical situations where attention, sensory processing, or command following might be impaired.

## Full-text entities

- **Genes:** AP2B1 (adaptor related protein complex 2 subunit beta 1) [NCBI Gene 163] {aka ADTB2, AP105B, AP2-BETA, CLAPB1}
- **Diseases:** mind wandering (MESH:D013009), paralysis (MESH:D010243), anterograde amnesia (MESH:D020324), loss of consciousness (MESH:D014474), muscle artifacts (MESH:D019042), Muscle tension (MESH:D018781), injury to people or property (MESH:C000719191), ALS (MESH:D000690), absence of consciousness (MESH:D003244), blink (MESH:D000092164), Korsakoff's syndrome (MESH:D020915)
- **Chemicals:** LZc (-), glucose (MESH:D005947)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11429988/full.md

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Source: https://tomesphere.com/paper/PMC11429988