Exploration of the Neural Correlates of Consciousness Using Linear Latent Model
Proceedings International Symposium on Biomedical Imaging 2023 DOI: 10.1109/isbi53787.2023.10230583 (opens in new tab)
Study at a glance
AI-extracted from the abstract| Characteristics | Empirical study Peer reviewed |
|---|---|
| Population | Patients with disorders of consciousness and monkeys with anesthesia-induced loss of consciousness |
| Intervention | Deep brain stimulation |
| Key points | 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.