Here we aimed at providing reliable EEG-based indices extracted from resting state networks that can corroborate clinical diagnosis with high level of accuracy, ...
Here we aimed at providing reliable EEG-based indices extracted from resting state networks that can corroborate clinical diagnosis with high level of accuracy, ...
People also ask
How can EEG be used to indicate state of consciousness?
What is the role of electroencephalography in managing disorders of consciousness?
What is the assessment tool for disorders of consciousness?
Graph theory can help ... In our current approach, we attempted to address whether we can identify a type of neural biomarker based on the EEG connectivity graph.
These findings boost the promising role of EEG-based indices as valuable and reliable tool to support DoC clinical diagnosis. Keywords—Diagnosis, disorders of ...
Sep 11, 2020 · The review structures the available knowledge based on EEG measures and analysis principles, and aims at promoting its translation into clinical ...
People also search for
Related health topics
For informational purposes only. Consult your local medical authority for advice.
Oct 26, 2024 · Many studies have attempted to identify the emotional states of healthy people from their EEG responses to these stimuli using machine learning, ...
Jun 23, 2022 · In the present study, we aimed to elucidate changes in electroencephalography (EEG) metrics during recovery of consciousness and to identify possible clinical ...
May 30, 2024 · EEG connectivity markers and network metrics predict outcome in patients with prolonged disorders of consciousness.
Sep 21, 2023 · The current study uses graph-based parameters to investigate and classify brain networks under Ganzfeld conditions as a function of positive schizotypy.
Critical Illness Polyneuropathy and Myopathy and Clinical. Detection of the Recovery of Consciousness in Severe Acquired Brain Injury Patients with Disorders of.