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A measure centrality index for systematic empirical comparison of consciousness theories

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Chis-Ciure, Robert, Melloni, Lucia, Northoff, Georg·2024·Neuroscience & Biobehavioral Reviews

DOI 10.1016/j.neubiorev.2024.105670

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Abstract

Consciousness science is marred by disparate constructs and methodologies, making it challenging to systematically compare theories. This foundational crisis casts doubts on the scientific character of the field itself. Addressing it, we propose a framework for systematically comparing consciousness theories by introducing a novel inter-theory classification interface, the Measure Centrality Index (MCI). Recognizing its gradient distribution, the MCI assesses the degree of importance a specific empirical measure has for a given consciousness theory. We apply the MCI to probe how the empirical measures of the Global Neuronal Workspace Theory (GNW), Integrated Information Theory (IIT), and Temporospatial Theory of Consciousness (TTC) would fare within the context of the other two. We demonstrate that direct comparison of IIT, GNW, and TTC is meaningful and valid for some measures like Lempel-Ziv Complexity (LZC), Autocorrelation Window (ACW), and possibly Mutual Information (MI). In contrast, it is problematic for others like the anatomical and physiological neural correlates of consciousness (NCC) due to their MCI-based differential weightings within the structure of the theories. In sum, we introduce and provide proof-of-principle of a novel systematic method for direct inter-theory empirical comparisons, thereby addressing isolated evolution of theories and confirmatory bias issues in the state-of-the-art neuroscience of consciousness.

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See all 26

Authors: Chis-Ciure, R., Melloni, L., & Northoff, G.
Affiliations: Fundación Tatiana Pérez de Guzmán el Bueno (ES)
Royal Ottawa Mental Health Centre (CA)
Corresponding author: Chis-Ciure, Robert
ORCID: Chis-Ciure, Robert
Northoff, Georg
Venue: Neuroscience & Biobehavioral Reviews
Publisher: Elsevier BV
Published: 2024-06
Volume: 161
Pages: 105670
ISSN: 0149-7634 (ISSN-L)
DOI: 10.1016/j.neubiorev.2024.105670
OpenAlex: W4394743787
Cited by: 22
References: 331
Citations by year: 2026: 8 · 2025: 12 · 2024: 2
FWCI: 1.64
Type: journal article
Language: en
Open access: hybrid
doi.org
Licence: cc-by
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
creativecommons.org/licenses/by/4.0/ (vor)
Locations: Neuroscience & Biobehavioral Reviews (publishedVersion, cc-by)
PubMed (publishedVersion)
Funders: Tatiana Pérez de Guzmán el Bueno Foundation
Topics: Social Sciences › Arts and Humanities › Philosophy › Philosophy and Theoretical Science
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Life Sciences › Neuroscience › Cognitive Neuroscience › Cognitive Science and Education Research
Keywords: theory of consciousness, global neuronal workspace theory, integrated information theory, Lempel-Ziv complexity, mutual information, neural correlates of consciousness, confirmation bias
MeSH terms: Brain, Consciousness, Humans, Information Theory, Psychological Theory

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A measure centrality index for systematic empirical comparison of consciousness theories

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