Electrodermal Activity Parameters Reflect Cognitive Effort in Mental Tasks: a comparison of analysis methods

Area of Science:

• Psychophysiology
• Neuroscience
• Biomedical Engineering

Background:

• Electrodermal activity (EDA) parameters are sensitive indicators of sympathetic nervous system activity.
• Various analytical approaches exist for EDA signal processing, but their comparative impact is understudied.
• Understanding these methods is crucial for accurately interpreting physiological responses to cognitive and emotional stimuli.

Purpose of the Study:

• To evaluate and compare two prominent EDA parameter extraction methods: continuous deconvolution analysis (CDA) and convex optimization (cvxEDA).
• To assess the agreement and consistency of EDA parameters derived from CDA and cvxEDA.
• To determine the sensitivity of these EDA parameters to varying levels of cognitive effort and arousal induced by mental tasks.

Main Methods:

• Comparison of continuous deconvolution analysis (CDA) and convex optimization (cvxEDA) for modeling skin conductance (SC) signals.
• Application of Bland-Altman analysis to assess agreement between EDA parameters from both methods.
• Analysis of EDA parameter modulations in response to distinct mental and cognitive tasks.

Main Results:

• High agreement was observed between EDA parameters extracted using CDA and cvxEDA, confirmed by Bland-Altman analysis.
• EDA parameters demonstrated coherent modulations across different phases of the experimental protocol.
• The analyzed EDA parameters effectively reflected variations in cognitive effort and arousal levels.

Conclusions:

• Both CDA and cvxEDA are reliable methods for extracting EDA parameters sensitive to cognitive and emotional arousal.
• The choice of analysis method does not significantly impact the interpretation of sympathetic activation during cognitive tasks.
• These findings support the use of EDA in research investigating arousal and cognitive load.