Brain activity can be detected through its electrical signals by sensing its variations, locations, and functional interactions [5] using EEG devices. EEG signals have excellent temporal resolution and are a direct measurement of neuronal activity. These signals cannot be manipulated or simulated ...
The first years of life, particularly infancy, represent exceptionally active periods of neurodevelopment. The brain doubles in volume, primarily due to the pronounced expansion of grey matter, reflecting both dendritic growth and the establishment of novel synapses6,7with concurrent pruning of superfluou...
Electroencephalography (EEG)-based Brain-Computer Interface (BCI) systems for emotion recognition have the potential to assist the enrichment of human̵
In Ref.16the interpretation of activation of the posterior “hot zone” when dreaming was based on the fact that low-frequency power and slow waves decreased in these brain areas. Since low-frequency oscillations are traditionally associated with neuronal bistability during which network interactions a...
Such accounts may also be useful for explaining the phenomenon of traveling waves. Brain sources underlying EEG microstates As both fMRI and EEG can be used to identify RSNs, several studies have aimed to determine the association between the two measures. The most direct method for investigating ...
These brain waves were first detected in the visual cortex of primates and are thought to play a key role in conscious attention. In particular, gamma rhythms are believed to be involved with the widescale integration of sensory information through synchronisation of activity throughout many brain ...
The recording of brain activity using EEG signals and its subsequent characterisation, especially for the study of consciousness, has therefore become a trending topic, as this technology solves several of the problems associated with fMRI and has been shown to be able to produce reliable results [...
Full size image 2 Functional structure of the brain Before understanding EEG signals, we need to understand the structure of the brain. The human brain conveyed into three critical parts: cerebrum, cerebellum and cerebrum stem. Cerebrum subdivided into frontal lobe, parietal lobe, temporal lobe, oc...
Full size image Results Subjects To evaluate the developmental spectral maturation of macroscopic brain activity, we constructed a developmental EEG database containing EEGs from subjects ranging from 1 day to 30 years of age, containing 234 subjects (median 9 years, IQR 0.45–14 years). Whole-br...
As mentioned, the present study intends to embrace the brain as a biological system. Thus, we developed two approaches, the Chronological Firing Power approach and the Cumulative Firing Power approach, which assumed the generation of seizures as a sequence of events in brain activity. Each method...