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Exploration of the Neural Correlates of Consciousness Using Linear Latent Model

Proceedings International Symposium on Biomedical Imaging January 1, 2023 DOI: 10.1109/isbi53787.2023.10230583 via Elsevier

Summary

AI-generated from the abstract

Deep brain stimulation (DBS) applied at rest to patients with disorders of consciousness and to monkeys under anesthesia reveals that the anterior (frontal) cortex plays a more prominent role in conscious information processing than the posterior cortex. The study used a modular hierarchical analysis model to identify groups of brain regions whose activity changes together. The findings provide causal evidence supporting the anterior cortex's contribution to consciousness, addressing an ongoing debate about the neural correlates of consciousness.

Study at a glance

Characteristics Empirical study Peer reviewed
Population Patients with disorders of consciousness and monkeys with anesthesia-induced loss of consciousness
Intervention Deep brain stimulation
Key finding Deep brain stimulation provides evidence that the anterior cortex contributes more to consciousness than the posterior cortex.

Abstract

Deep Brain Stimulation (DBS) is a promising technique for studying consciousness recovery in patients suffering from Disorders of Consciousness (DoC) and in monkeys with anesthesia-induced Loss of Consciousness (LoC). When talking about the neural correlates of consciousness, the role of the frontal cortex remains a matter of debate. Using direct causal Deep Brain Stimulation (DBS) at rest, we want to highlight the predominant networks processing conscious information. To recover these networks, we adopt the Modular Hierarchical Analysis (MHA) latent variable model that automatically identifies groups of regions sharing joint Brain Network Activities (BNAs). We demonstrate empirical DBS-driven evidence for a contribution of the anterior versus posterior cortex to consciousness.

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