The rapid and coordinated propagation of neural activity across the brain provides the
foundation for complex behavior and cognition. Technical advances across neuroscience …

Electroencephalogram (EEG) and magnetoencephalogram (MEG) recordings during resting
state are increasingly used to study functional connectivity and network topology. Moreover …

The global signal is widely used as a regressor or normalization factor for removing the
effects of global variations in the analysis of functional magnetic resonance imaging (fMRI) …

Social change due to COVID-19 has had negative impacts on the mental health of people
who live indoors. One of the possible solutions to these problems is to introduce biophilic …

The mining of huge databases of resting-state brain activity recordings represents state of
the art in the assessment of endogenous neuronal activity—and may be a promising tool in …

The promise of machine learning has fueled the hope for developing diagnostic tools for
psychiatry. Initial studies showed high accuracy for the identification of major depressive …

Characterization of large‐scale brain networks using blood‐oxygenation‐level‐dependent
functional magnetic resonance imaging is typically based on the assumption of network …

Changes in brain activity accompanying shifts in vigilance and arousal can interfere with the
study of other intrinsic and task-evoked characteristics of brain function. However, the …

Neurophysiological field-potential signals consist of both arrhythmic and rhythmic patterns
indicative of the fractal and oscillatory dynamics arising from likely distinct mechanisms …

We review research on the neural efficiency hypothesis of intelligence, stating that brighter
individuals display lower (more efficient) brain activation while performing cognitive tasks …