An integrated information theory index using multichannel EEG for evaluating various states of consciousness under anesthesia

Dong, Kangli; Zhang, Delin; Wei, Qishun; Wang, Guozheng; Chen, Xing; Zhang, Lu; Liu, Jun

doi:10.1016/j.compbiomed.2022.106480

Cited by 10 publications

(6 citation statements)

References 49 publications

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“…This indicates that the observed correlation between |ΔΦ AR | and the CSS value is not solely influenced by differences in signal amplitude during seizures. Our results are consistent with those presented by Dong et al 5 ⁠. In their study, the authors calculated the Φ index using an EEG signals database obtained from patients who were sedated using different doses of two types of sedatives, resulting in varying levels of consciousness.…”

Section: Discussionsupporting

confidence: 92%

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Consciousness transitions during epilepsy seizures through the lens of integrated information theory

Baglivo,

Campora,

Mininni

et al. 2024

Sci Rep

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Consciousness is one of the most complex aspects of human experience. Studying the mechanisms involved in the transitions among different levels of consciousness remains as one of the greatest challenges in neuroscience. In this study we use a measure of integrated information (ΦAR) to evaluate dynamic changes during consciousness transitions. We applied the measure to intracranial electroencephalography (SEEG) recordings collected from 6 patients that suffer from refractory epilepsy, taking into account inter-ictal, pre-ictal and ictal periods. We analyzed the dynamical evolution of ΦAR in groups of electrode contacts outside the epileptogenic region and compared it with the Consciousness Seizure Scale (CCS). We show that changes on ΦAR are significantly correlated with changes in the reported states of consciousness.

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Section: Discussionsupporting

confidence: 92%

“…stereoelectroencephalography—SEEG) using an empirical distribution, as proposed by Barret et al 4 ⁠. This measure (or some of its variations) was previously applied to EEG 5 ⁠ and fMRI 6 ⁠ recordings in humans, and ECoG recordings in monkeys 7 ⁠ but it hasn’t been computed on SEEG data from humans.…”

Section: Introductionmentioning

confidence: 99%

Consciousness transitions during epilepsy seizures through the lens of integrated information theory

Baglivo,

Campora,

Mininni

et al. 2024

Sci Rep

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“…PCI attempts to capture the extent to which a system can integrate incoming information. This approach is supported by studies conducted in neurotypical adult humans: high PCI scores correlate with fully conscious individuals while lower scores are associated with increasing levels of anesthesia [ 58 ]. However, some claim that IIT does not provide a scientific explanation of consciousness [ 59 ], and others describe how non-conscious systems (e.g.…”

Section: Challenges Of Similarity-based Approachesmentioning

confidence: 99%

Moral considerability of brain organoids from the perspective of computational architecture

Boyd

2024

Oxford Open Neuroscience

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Human brain organoids equipped with complex cytoarchitecture and closed-loop feedback from virtual environments could provide insights into neural mechanisms underlying cognition. Yet organoids with certain cognitive capacities might also merit moral consideration. A precautionary approach has been proposed to address these ethical concerns by focusing on the epistemological question of whether organoids possess neural structures for morally-relevant capacities that bear resemblance to those found in human brains. Critics challenge this similarity approach on philosophical, scientific, and practical grounds but do so without a suitable alternative. Here, I introduce an architectural approach that infers the potential for cognitive-like processing in brain organoids based on the pattern of information flow through the system. The kind of computational architecture acquired by an organoid then informs the kind of cognitive capacities that could, theoretically, be supported and empirically investigated. The implications of this approach for the moral considerability of brain organoids are discussed.

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“…IIT performs better in distinguishing between conscious and non-conscious neural activity within the brain by proposing that they differ in terms of their level of complexity and integration, as measured by Φ. For example, a proxy for Φ has been estimated and used to examine EEG patterns (as a surrogate for detailed knowledge of neural firing patterns), which was quite successful in distinguishing conscious and non-conscious patients with disorders of consciousness (DoCs) [51,87] and anaesthesia [88]. However, it should also be noted that EEG is the most widely-used tool for clinical assessment levels of consciousness in patients with DoCs or anaesthesia [89], and most applications do not apply IIT but use simpler measures such as information complexity or (negative) entropy [90,91].…”

Section: Integrated Information Theorymentioning

confidence: 99%

Carving Nature at Its Joints: A Comparison of CEMI Field Theory with Integrated Information Theory and Global Workspace Theory

McFadden

2023

Entropy

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The quest to comprehend the nature of consciousness has spurred the development of many theories that seek to explain its underlying mechanisms and account for its neural correlates. In this paper, I compare my own conscious electromagnetic information field (cemi field) theory with integrated information theory (IIT) and global workspace theory (GWT) for their ability to ‘carve nature at its joints’ in the sense of predicting the entities, structures, states and dynamics that are conventionally recognized as being conscious or nonconscious. I go on to argue that, though the cemi field theory shares features of both integrated information theory and global workspace theory, it is more successful at carving nature at its conventionally accepted joints between conscious and nonconscious systems, and is thereby a more successful theory of consciousness.

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An integrated information theory index using multichannel EEG for evaluating various states of consciousness under anesthesia

Cited by 10 publications

References 49 publications

Consciousness transitions during epilepsy seizures through the lens of integrated information theory

Consciousness transitions during epilepsy seizures through the lens of integrated information theory

Moral considerability of brain organoids from the perspective of computational architecture

Carving Nature at Its Joints: A Comparison of CEMI Field Theory with Integrated Information Theory and Global Workspace Theory

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