This paper discusses the various methods of identifying the seizure onset zone (SOZ) from
the intracranial electroencephalography (iEEG) data. Epilepsy, also known as seizure …

Brain network analysis is one efficient tool in exploring human brain diseases and can
differentiate the alterations from comparative networks. The alterations account for time …

Covering the latest cutting-edge techniques in biomedical signal processing while
presenting a coherent treatment of various signal processing methods and applications, this …

Pre-stimulus alpha (α) activity can influence perception of shortly presented, low-contrast
stimuli. The underlying mechanisms are often thought to affect perception exactly at the time …

Objective To disentangle the pathophysiology of cognitive/affective impairment in
Coronavirus Disease-2019 (COVID-19), we studied long-term cognitive and affective …

Visual stimuli evoke fast-evolving activity patterns that are distributed across multiple cortical
areas. These areas are hierarchically structured, as indicated by their anatomical …

The nonstationarity of hydrological variables makes the application of autoregressive (AR)
models challenging. Therefore, this study introduces a new time-varying AR (TVAR) model …

(1) Background: Transcranial magnetic stimulation combined with electroencephalography
(TMS–EEG) provides a unique opportunity to investigate brain connectivity. However …

Selective attention is a fundamental cognitive mechanism that allows our brain to
preferentially process relevant sensory information, while filtering out distracting information …

One of the most challenging problems in the study of complex dynamical systems is to find
the statistical interdependencies among the system components. Granger causality (GC) …