Dreams are one of the most bizarre and least understood states of consciousness. Bridging
the gap between brain and phenomenology of (un) conscious experience, we propose 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 …

Recent electroencephalography (EEG) studies have shown that patterns of brain activity can
be used to differentiate amyotrophic lateral sclerosis (ALS) and control groups. These …

EEG microstates are brief, recurring periods of stable brain activity that reflect the activation
of large-scale neural networks. The temporal characteristics of these microstates, including …

Introduction Ischemic stroke patients commonly experience disorder of consciousness
(DOC), leading to poorer discharge outcomes and higher mortality risks. Therefore, the …

Tailor-made notched music training (TMNMT) is a promising therapy for tinnitus. Residual
inhibition (RI) is one of the few interventions that can temporarily inhibit tinnitus, which is a …

Background Quantitative electroencephalography (EEG) analysis offers the opportunity to
study high-level cognitive processes across psychiatric disorders. In particular, EEG …

Consciousness can be defined as a phenomenological experience continuously evolving.
Current research showed how conscious mental activity can be subdivided into a series of …

The analysis of EEG microstates for investigating rapid whole-brain network dynamics
during rest and tasks has become a standard practice in the EEG research community …

Microstate sequences summarize the changing voltage patterns measured by
electroencephalography, using a clustering approach to reduce the high dimensionality of …