Abstract Background: Most investigators of brain–computer interface (BCI) research believe that BCI can be achieved through induced neuronal activity from the cortex, but not by evoked activity. Motor imagery (MI)–based is one standard concepts BCI, in user generate imagining motor movements. However, variations performance over sessions and subjects are too severe to overcome easily; therefore, a basic understanding investigation variation necessary find critical evidence variation. Here we...

In most brain computer interface (BCI) systems, some target users have significant difficulty in using BCI systems. Such are called ‘BCI-illiterate’. This phenomenon has been poorly investigated, and a clear understanding of the BCI-illiteracy mechanism or solution to this problem not reported date. study, we sought demonstrate neurophysiological differences between two groups (literate, illiterate) with total 52 subjects. We investigated recordings under non-task related state (NTS) which...

Abstract Recently, neurophysiological findings about social interaction have been investigated widely, and hardware has developed that can measure multiple subjects' brain activities simultaneously. These hyperscanning studies enabled us to discover new important evidences of interbrain interactions. Yet, very little is known verbal without any visual input. Therefore, we conducted a study based on verbal, turn‐taking using simultaneous EEG/MEG, which measures rapidly changing activities. To...

While brain computer interface (BCI) can be employed for patients and healthy subjects, there are problems that must resolved before BCI useful to the public. In most popular motor imagery system, a significant number of target users (called "BCI-Illiterates") cannot modulate their neuronal signals enough use system. This causes performance variability among subjects even sessions within subject. The mechanism such BCI-Illiteracy possible solutions still remain determined. Gamma oscillation...

Objective. We propose a new hybrid brain–computer interface (BCI) system that integrates two different EEG tasks: tactile selective attention (TSA) using vibro-tactile stimulator on the left/right finger and motor imagery (MI) of hand movement. Event-related desynchronization (ERD) from MI task steady-state somatosensory evoked potential (SSSEP) TSA are retrieved combined into senses. Approach. One approach is to measure tasks simultaneously; features each for testing. Another consecutively...

Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying by converting recorded neural activity into perceivable outputs. Recent evidence suggests increased frontal theta power (4-7 Hz) reflects relief from acute pain. Further studies have suggested vibrotactile stimulation decreases intensity experimental clinical models. This...

A brain-computer interface (BCI) usually requires a time-consuming training phase during which data are collected and used to generate classifier. Because brain signals vary dynamically over time (and even sessions), this may be necessary each the BCI system is used, impractical. However, variability in background noise, less dependent on control signal, dominate dynamics of signals. Therefore, we hypothesized that an understanding variations noise allow existing reused by incorporating...

Abstract Decision-makers objectively commit to a definitive choice, yet at the subjective level, human decisions appear be associated with degree of uncertainty. Whether are (i.e., concluding in all-or-none choices), or whether underlying representations graded, remains unclear. To answer this question, we recorded intracranial neural signals directly from brain while subjects made perceptual decisions. The recordings revealed that broadband gamma activity reflecting each individual’s...

Performance variation is a critical issue in motor imagery brain-computer interface (MI-BCI), and various neurophysiological, psychological, anatomical correlates have been reported the literature. Although main aim of such studies to predict MI-BCI performance for prescreening poor performers, which focus on user's sense process directly estimate through self-prediction are lacking. In this study, we first test each idea regarding experimental datasets. Fifty-two subjects participated...

Motor-imagery brain-computer interface (MI-BCI) is a technique that manipulates external machines using brain activities, and highly useful to amyotrophic lateral sclerosis patients who cannot move their limbs. However, it reported approximately 15–30% of users modulate signals, which results in the inability operate motor imagery BCI systems. Thus, advance prediction performance has drawn researchers’ attention, some predictors have been proposed alpha band’s power, as well other spectral...

Visual discomfort induced by inharmonious human 3D perceptions between the real world and a display is encountered most commonly in stereoscopic displays. Although various state-of-the-art technologies have reduced gaps, these delicate differences yield eye fatigue during adaptation of brain to artificial information Therefore, assessment visual discomfort, either producing or reproducing content, essential improve viewers' quality experience. In this paper, we used EEG investigate...

Social interaction is one of humans’ most important activities and many efforts have been made to understand the phenomenon. Recently, some investigators attempted apply advanced brain signal acquisition systems that allow dynamic be measured simultaneously during social interactions. Most studies date investigated dyadic interactions, although multilateral interactions are more common in reality. However, it believed focused on such because methodological limitations, very difficult design...

Abstract Context modulates sensory neural activations enhancing perceptual and behavioral performance reducing prediction errors. However, the mechanism of when where these high-level expectations act on processing is unclear. Here, we isolate effect expectation absent any auditory evoked activity by assessing response to omitted expected sounds. Electrocorticographic signals were recorded directly from subdural electrode grids placed over superior temporal gyrus (STG). Subjects listened a...

Abstract Limitations in chronic pain therapies necessitate novel interventions that are effective, accessible, and safe. Brain-computer interfaces (BCIs) provide a promising modality for targeting neuropathology underlying by converting recorded neural activity into perceivable outputs. Recent evidence suggests increased frontal theta power (4–7 Hz) reflects relief from acute pain. Further studies have suggested vibrotactile stimulation decreases intensity experimental clinical models. This...

Electrical activity at high gamma frequencies (70-170 Hz) is thought to reflect the of small cortical ensembles. For example, (often quantified by spectral power) can increase in sensory-motor cortex response sensory stimuli or movement. On other hand, synchrony neural between areas coherence) has been hypothesized as an important mechanism for inter-areal communication, thereby serving functional roles cognition and behavior. Currently, primarily studied a local amplitude phenomenon. We...

Background/Aims: In exploring human factors, stereoscopic 3D images have been used to investigate the neural responses associated with excessive depth, texture complexity, and other factors. However, cortical oscillation complexity of has studied rarely. Here, we demonstrated that oscillatory three differently shaped (circle, star, bat) increase as image increases. Methods: We recorded simultaneous EEG/MEG for different stimuli. Spatio-temporal spatio-spectro-temporal features were...

Motor imagery brain-computer interfaces (BCIs) can control external machines with neurophysiological signals during limb movement imagination without real movements. An electroencephalography (EEG)-based motor task has notable characteristics of event-related (de) synchronization (ERD/ERS) in specific frequency bands, including alpha and beta rhythms the sensorimotor area. Based on this phenomenon, features are extracted typically using common spatial patterns (CSPs). However, some...

Measuring neuronal activity of transcranial direct current stimulation (tDCS) is essential for investigating tDCS in stimuli or after effects. The aim this study was to investigate the oscillatory changes from anodal using electrocorticography (ECoG) on beagles. We applied 2 mA and monitored ECoG signals (32 channels, 512 Hz sampling rate) 15 minutes three anesthetized Then, we compared power before, during, six different bands (delta, theta, alpha, beta, low-gamma, mid-gamma bands)....