Cortico-basal ganglia interactions continuously shape the way we move. Ideas about how
this circuit works are based largely on models those consider only firing rate as the …

Recently, functional network connectivity (FNC) has been extended from static to dynamic
analysis to explore the time-varying functional organization of brain networks. Nowadays, a …

Human communication entails subtle non-verbal modes of expression, which can be
analyzed quantitatively using computational approaches and thus support human sciences …

Functional brain network (FBN) has become very popular to analyze the interaction between
cortical regions in the last decade. But researchers always spend a long time to search the …

Motor-modality-based brain computer interface (BCI) could promote the neural rehabilitation
for stroke patients. Temporal-spatial analysis was commonly used for pattern recognition in …

Neural activity across the brain shows both spatial and temporal correlations at multiple
scales, and understanding these correlations is a key step toward understanding cortical …

Objective During the transition from normal to seizure and then to termination,
electroencephalography (EEG) signals have complex changes in time-frequency-spatial …

Objective To investigate the additional value of EEG functional connectivity features, in
addition to non-coupling EEG features, for outcome prediction of comatose patients after …

Objective The hypersynchronous neuronal activity associated with epilepsy causes
widespread functional network disruptions extending beyond the epileptogenic zone. This …

Objective Cognitive impairment (CI) is a common disorder in patients with epilepsy (PWEs).
Objective assessment method for diagnosing CI in PWEs would be beneficial in reality. This …