An implementation of integrated information theory in resting-state fMRI.

TitleAn implementation of integrated information theory in resting-state fMRI.
Publication TypeJournal Article
Year of Publication2023
AuthorsNemirovsky IE, Popiel NJM, Rudas J, Caius M, Naci L, Schiff ND, Owen AM, Soddu A
JournalCommun Biol
Date Published2023 Jul 05
KeywordsConsciousness, Humans, Hypnotics and Sedatives, Information Theory, Magnetic Resonance Imaging, Propofol

Integrated Information Theory was developed to explain and quantify consciousness, arguing that conscious systems consist of elements that are integrated through their causal properties. This study presents an implementation of Integrated Information Theory 3.0, the latest version of this framework, to functional MRI data. Data were acquired from 17 healthy subjects who underwent sedation with propofol, a short-acting anaesthetic. Using the PyPhi software package, we systematically analyze how Φmax, a measure of integrated information, is modulated by the sedative in different resting-state networks. We compare Φmax to other proposed measures of conscious level, including the previous version of integrated information, Granger causality, and correlation-based functional connectivity. Our results indicate that Φmax presents a variety of sedative-induced behaviours for different networks. Notably, changes to Φmax closely reflect changes to subjects' conscious level in the frontoparietal and dorsal attention networks, which are responsible for higher-order cognitive functions. In conclusion, our findings present important insight into different measures of conscious level that will be useful in future implementations to functional MRI and other forms of neuroimaging.

Alternate JournalCommun Biol
PubMed ID37407655
PubMed Central IDPMC10322831