Computational neuroscience has come a long way from its humble origins in the pioneering
work of Hodgkin and Huxley. Contemporary computational models of the brain span multiple …

This review article gives a high-level overview of the approaches across different scales of
organization and levels of abstraction. The studies covered in this paper include …

Background Altered neuronal excitation–inhibition (E–I) balance is strongly implicated in
ASD. However, it is not known whether the direction and degree of changes in the E–I ratio …

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 …

The proposal to use brain connectivity as a biomarker for dementia phenotyping can be
potentiated by conducting large-scale multicentric studies using high-density …

Along with the study of brain activity evoked by external stimuli, the past two decades
witnessed an increased interest in characterizing the spontaneous brain activity occurring …

EEG microstate analysis is an approach to study brain states and their fast transitions in
healthy cognition and disease. A key limitation of conventional microstate analysis is that it …

Mild cognitive impairment (MCI) and dementia due to Alzheimer's disease (AD) are
neurological disorders that affect cognition, brain function, and memory …

Background Dementia and mild cognitive impairment are characterised by symptoms of
cognitive decline, which are typically assessed using neuropsychological assessments …

Are posterior resting-state electroencephalographic (rsEEG) alpha rhythms sensitive to the
Alzheimer's disease mild cognitive impairment (ADMCI) progression at a 6-month follow-up …