Electrical Analysis of Logical Complexity: an Exploratory Eeg Study of Logically Valid/invalid Deducive Inference
Overview
Authors
Affiliations
Introduction: Logically valid deductive arguments are clear examples of abstract recursive computational procedures on propositions or on probabilities. However, it is not known if the cortical time-consuming inferential processes in which logical arguments are eventually realized in the brain are in fact physically different from other kinds of inferential processes.
Methods: In order to determine whether an electrical EEG discernible pattern of logical deduction exists or not, a new experimental paradigm is proposed contrasting logically valid and invalid inferences with exactly the same content (same premises and same relational variables) and distinct logical complexity (propositional truth-functional operators). Electroencephalographic signals from 19 subjects (24.2 ± 3.3 years) were acquired in a two-condition paradigm (100 trials for each condition). After the initial general analysis, a trial-by-trial approach in beta-2 band allowed to uncover not only evoked but also phase asynchronous activity between trials.
Results: showed that (i) deductive inferences with the same content evoked the same response pattern in logically valid and invalid conditions, (ii) mean response time in logically valid inferences is 61.54% higher, (iii) logically valid inferences are subjected to an early (400 ms) and a late reprocessing (600 ms) verified by two distinct beta-2 activations (p-value < 0,01, Wilcoxon signed rank test).
Conclusion: We found evidence of a subtle but measurable electrical trait of logical validity. Results put forward the hypothesis that some logically valid deductions are recursive or computational cortical events.
Bordoloi S, Gupta C, Hazarika S Exp Brain Res. 2024; 242(10):2473-2485.
PMID: 39180699 DOI: 10.1007/s00221-024-06912-w.
Karavia A, Papaioannou A, Michopoulos I, Papageorgiou P, Papaioannou G, Gonidakis F Brain Sci. 2024; 14(3).
PMID: 38539639 PMC: 10969099. DOI: 10.3390/brainsci14030251.