Accurate prognostic prediction in patients with disorders of consciousness (DOC) is a core
clinical concern and a formidable challenge in neuroscience. Resting-state EEG has shown …

Introduction Functional connectivity across large-scale networks is crucial for the regulation
of conscious states. Nonetheless, our understanding of potential alterations in the temporal …

Abstract Objective Disorders of consciousness (DoC) are acquired conditions of severely
altered consciousness. Electroencephalography (EEG)-derived biomarkers have been …

Growing electroencephalogram (EEG) studies have linked the abnormities of functional
brain networks with disorders of consciousness (DOC). However, due to network data's high …

Individuals who have suffered a severe brain injury typically require extensive
hospitalization in intensive care units (ICUs), where critical treatment decisions are made to …

Background Electroencephalogram (EEG) studies have established many characteristics
relevant to consciousness levels of patients with disorder of consciousness (DOC). Although …

Outcome prediction in prolonged disorders of consciousness (DOC) remains challenging.
This can result in either inappropriate withdrawal of treatment or unnecessary prolongation …

Providing an accurate prognosis for prolonged disorder of consciousness (pDOC) patients
remains a clinical challenge. Large cross-sectional studies have demonstrated the …

Abstract Background and Objectives The resting‐state brain is composed of several discrete
networks, which remain stable for 10–100 ms. These functional microstates are considered …

Consciousness arises from the functional interaction of multiple brain structures and their
ability to integrate different complex patterns of internal communication. Although several …