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Detecting the Potential for Consciousness in Unresponsive Patients Using the Perturbational Complexity Index
Dmitry O Sinitsyn1, Alexandra G Poydasheva1, Ilya S Bakulin1
1Research Center of Neurology, Volokolamskoe Shosse, 80, Moscow 125367, Russia.
Brain Sciences
|December 2, 2020
Summary
The perturbational complexity index (PCI) reliably distinguishes disorders of consciousness. This brain-based measure using electroencephalography (EEG) and transcranial magnetic stimulation (TMS) aids in diagnosing unresponsive patients.
Area of Science:
- Neuroscience
- Neurology
- Clinical Neurophysiology
Background:
- Behavioral assessment of prolonged disorders of consciousness (DOC) is challenging.
- Brain-based diagnostic methods are needed for accurate evaluation.
- The perturbational complexity index (PCI) shows promise in detecting consciousness.
Purpose of the Study:
- To validate the reliability of PCI in a new cohort of severely brain-injured patients.
- To assess PCI's effectiveness in differentiating between unresponsive wakefulness syndrome (UWS) and minimally conscious state (MCS).
- To explore the potential of PCI in identifying covert consciousness.
Main Methods:
- Collected data from 24 severely brain-injured patients (11 UWS, 12 MCS, 1 emergence from MCS).
- Measured PCI using electroencephalography (EEG) responses to transcranial magnetic stimulation (TMS).
- Compared individual PCI values against a validated empirical cutoff (PCI*).
Main Results:
- PCI correctly identified 11 out of 12 MCS patients (92% sensitivity) as conscious.
- Most UWS patients (64%) exhibited low PCI values, consistent with unresponsiveness.
- A subset of UWS patients (36%) showed high PCI values, suggesting potential covert consciousness.
Conclusions:
- PCI reliably differentiates between UWS and MCS patients.
- TMS-EEG assessment using PCI is a valuable tool for DOC evaluation.
- PCI may help identify patients with covert consciousness who are misdiagnosed behaviorally.
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