Introduction: Long-term stressful situations can drastically influence one’s mental life. However, the effect of mental stress on recognition of emotional stimuli needs to be explored. In this study, recognition of emotional stimuli in a stressful situation was investigated. Four emotional conditions, including positive and negative states in both low and high levels of arousal were analy...

In line with current developments, biometrics is becoming an important technology that enables safer identification of individuals and more secure access to sensitive information assets. Researchers have recently started exploring electroencephalography (EEG) as a biometric modality thanks the uniqueness EEG signals. A new architecture for convolutional neural network (CNN) uses signals suggest...

Patients with schizophrenia commonly revealed difficulties in understanding humor. Previous research suggested links between impaired humor comprehension, psychopathology symptoms and cognitive deficits. In this study, we investigated the associations neural substrates of processing cognition schizophrenia. We assessed 25 outpatients an functional magnetic resonance imaging (fMRI) procedure 40 ...

There has been considerable interest in applying electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) simultaneously for multimodal assessment of brain function. EEG–fNIRS can provide a comprehensive picture electrical hemodynamic function applied across various fields science. The development wearable, mechanically electrically integrated technology is critical next s...

Electroencephalography (EEG) captures the electrical activities of human brain. It is an easy and cost effective tool to characterize motor imager (MI) task used in brain computer interface (BCI) implementation. The MI represented by short time trial multichannel EEG. In this paper, raw EEG regenerated using narrowband signals obtained from individual channel. Each channel decomposed into a set...

DTW Barycenter Averaging (DBA) has proven to be a useful tool for calculating consensus sequences, but it has not yet been applied to real electroencephalography (EEG) data. This study tests DBA on real EEG sequences using the modification proposed by Kotas et al. (2015), and proposes several further modifications to the initial sequence selection process to improve the method’s efficacy for EE...

The correlation between signals acquired using electroencephalography (EEG) and fMRI was investigated in humans during visual stimulation. Evoked potential EEG and BOLD fMRI data were acquired independently under similar conditions from eight subjects during stimulation by a checkerboard flashed at frequencies ranging from 2-12 Hz. The results indicate highly correlated changes in the strength ...

To assess the similarity between cortical activities observed during actual and imaginary motor tasks, we evaluated electroencephalography-electromyography (EEG-EMG) coherence during motor task execution (ME) and the same taskrelated EEG power increase (TRPI) during kinesthetic motor imagery (MI). EEGs recorded at the vertex and EMGs recorded at the right tibialis anterior muscle (TA) were anal...

The neuronal underpinnings of blood oxygen level dependent (BOLD) functional magnetic resonance imaging (fMRI) resting state networks (RSNs) are still unclear. To investigate the underlying mechanisms, specifically the relation to the electrophysiological signal, we used simultaneous recordings of electroencephalography (EEG) and fMRI during eyes open resting state (RS). Earlier studies using t...

Progress in the understanding of normal and disturbed brain function is critically dependent on the methodological approach that is applied. Both electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are extremely efficient methods for the assessment of human brain function. The specific appeal of the combination is related to the fact that both methods are complementary...