A Transfer entropy-based methodology to analyze information flow under eyes-open and eyes-closed conditions with a clinical perspective

RESTREPO, JUAN F.; MATEOS, DIEGO M.; DÍAZ LÓPEZ, JUAN MANUEL

BIOMEDICAL SIGNAL PROCESSING AND CONTROL

ELSEVIER SCI LTD

Lugar: Amsterdam; Año: 2023

1746-8094

Studying brain dynamics under normal or pathological conditions has proven to be a chal-lenging task, as there is no unified consensus on the best approach. In this article, we presenta methodology based on Transfer Entropy to study the information flow between differentbrain hemispheres in healthy subjects during eyes-open (EO) and eyes-closed (EC) restingstates. We used an experimental setup that mimics the technical conditions found in clin-ical settings and collected data sets from short records of 24 channels electroencephalogram(EEG) at a sampling rate of 65 Hz. Our methodology accounts for interhemispheric andintrahemispheric information flow analysis in both conditions and relies on 4 indexes calcu-lated from the transfer entropy estimations between EEG channels. These indexes provideinformation on the number, strength, and directionality of active connections. Our resultssuggest an increase in information transfer in the EC condition for the alpha, beta1, andbeta2 frequency bands, but no preferred direction of interhemispheric information move-ment under either condition. These results are consistent with previously reported studiesconducted with denser EEG recordings sampled at a higher rate. In conclusion, our method-ology shows a significant difference in the brain’s dynamics of information transfer betweenEO and EC resting states, which can also be applied to regular clinical sessions.