A Theoretically Based Index of Consciousness Independent of Sensory Processing and Behavior
Adenauer G. Casali, Olivia Gosseries, Mario Rosanova, Melanie Boly, Simone Sarasso, Karina Rabello Casali, Silvia Casarotto, Marie-Aurélie Bruno, Steven Laureys, Giulio Tononi, Marcello Massimini
Science Translational Medicine August 14, 2013 DOI: 10.1126/scitranslmed.3006294 via OpenAlex
Summary
AI-generated from the abstractA new index called the perturbational complexity index (PCI) can objectively measure a person's level of consciousness without requiring them to respond or interact. PCI works by using transcranial magnetic stimulation to briefly perturb the cortex and then measuring the algorithmic complexity of the resulting brain activity patterns. The index was tested on healthy individuals during wakefulness, dreaming, nonrapid eye movement sleep, and under sedation with midazolam, xenon, and propofol, as well as on patients who had emerged from coma. PCI reliably distinguished conscious from unconscious states in single individuals across all conditions, including vegetative state, minimally conscious state, and locked-in syndrome.
Study at a glance
| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Population | Healthy subjects and patients who had emerged from coma |
| Intervention | Transcranial magnetic stimulation |
| Keywords | Consciousness Index typography Sensory system Sensory processing Cognitive psychology |
| Citations | 1,299 |
| Key finding | The perturbational complexity index reliably discriminated the level of consciousness in single individuals during wakefulness, sleep, anesthesia, and in patients who had emerged from coma. |
Abstract
One challenging aspect of the clinical assessment of brain-injured, unresponsive patients is the lack of an objective measure of consciousness that is independent of the subject's ability to interact with the external environment. Theoretical considerations suggest that consciousness depends on the brain's ability to support complex activity patterns that are, at once, distributed among interacting cortical areas (integrated) and differentiated in space and time (information-rich). We introduce and test a theory-driven index of the level of consciousness called the perturbational complexity index (PCI). PCI is calculated by (i) perturbing the cortex with transcranial magnetic stimulation (TMS) to engage distributed interactions in the brain (integration) and (ii) compressing the spatiotemporal pattern of these electrocortical responses to measure their algorithmic complexity (information). We test PCI on a large data set of TMS-evoked potentials recorded in healthy subjects during wakefulness, dreaming, nonrapid eye movement sleep, and different levels of sedation induced by anesthetic agents (midazolam, xenon, and propofol), as well as in patients who had emerged from coma (vegetative state, minimally conscious state, and locked-in syndrome). PCI reliably discriminated the level of consciousness in single individuals during wakefulness, sleep, and anesthesia, as well as in patients who had emerged from coma and recovered a minimal level of consciousness. PCI can potentially be used for objective determination of the level of consciousness at the bedside.