Support vector machine classification of patients with depression based on resting-state electroencephalography.

Background: Depression is one of the most common mental disorders. Although depression is typically diagnosed by identifying specific symptoms and through history, no recognized standard for depression diagnosis exists. This assures the development of objective diagnostic tools for depression.

Effects of chronic social defeat stress on social behavior and cognitive flexibility for early and late adolescent.

This study investigated the risk to social behavior and cognitive flexibility induced by chronic social defeat stress (CSDS) during early and late adolescence (EA and LA). Utilizing the "resident-intruder" stress paradigm, adolescent male Sprague-Dawley rats were exposed to CSDS during either EA (postnatal days 29-38) or LA (postnatal days 39-48) to explore how social defeat at different stages of adolescence affects behavioral and cognitive symptoms commonly associated with psychiatric disorders. After stress exposure, the rats were assessed for anxiety-like behavior in the elevated plus maze, social interaction, and cognitive flexibility through set-shifting and reversal-learning tasks under immediate and delayed reward conditions.

Effects of Near-Infrared Pulsed Light on the Attention of Human Beings Using Electroencephalography.

In our previous studies, photobiomodulation (PBM) stimulation can induce significant brain activation in normal subjects. In an open-eye study, the PBM stimulation was able to increase the power of alpha rhythms and theta waves, as well as decrease the beta activities after PBM stimulation. However, in the closed eyes study, the alpha rhythms in the laser group were reduced.

Cross-Domain Transfer of EEG to EEG or ECG Learning for CNN Classification Models.

Electroencephalography (EEG) is often used to evaluate several types of neurological brain disorders because of its noninvasive and high temporal resolution. In contrast to electrocardiography (ECG), EEG can be uncomfortable and inconvenient for patients. Moreover, deep-learning techniques require a large dataset and a long time for training from scratch.

Movement pattern and upper extremity muscle activation during fast and slow continuous steering movement.

Continuous steering movement (CSM) is an essential component of the upper extremity (UE) task during vehicle driving, and could be a suitable candidate for multi-joint rehabilitation programs for patients with UE disabilities. This study aims to evaluate the UE muscle activation during CSM and how the rotating speed and direction affect CSM's kinematic and kinetic performance. Surface electromyography (EMG), hand contact information, and steering torque were measured under fast (180°/s) and slow (60°/s) constant-velocity CSM to reveal the activation of shoulder and elbow muscles, temporal characteristics, and force exertion during the stance and swing phases of a CSM cycle.

Effects of transcranial direct current stimulation on improving performance of delayed- reinforcement attentional set-shifting tasks in attention-deficit/hyperactivity disorder rat model.

Behavioral flexibility (or set-shifting), which is regulated by the prefrontal cortex (PFC), is often impaired in patients with attention-deficit/hyperactivity disorder (ADHD), which is characterized by poor inhibitory control and reinforcement learning. Transcranial direct current stimulation (tDCS) has been proposed as a means of noninvasive brain stimulation and a potential therapeutic tool for modulating behavioral flexibility. Animal studies can pave the way to know if tDCS application can potentially benefit rule- and goal-based activities in ADHD.

Classification of cognitive reserve in healthy older adults based on brain activity using support vector machine.

Objective: Cognitive reserve (CR) refers to the capacity of the brain to actively cope with damage via the implementation of remedial cognitive processes. Traditional CR measurements focus on static proxies, which may not be able to appropriately estimate dynamic changes in CR. This study therefore investigated the cognitive performance and characteristics of brain activity of low- and high-CR healthy adults during resting and n-back task states and categorized subjects according to magnetoencephalographic (MEG) information using a support vector machine (SVM) classifier.

Analysis and Discrimination of Surface Electromyographic Features for Parkinson's Disease during Elbow Flexion Movements.

Parkinson's disease (PD) is the second most common neurodegenerative disorder. Early intervention/treatment relies on early diagnosis of PD. There is increasing interest in methods based on electromyography measurements of PD patients because of its noninvasiveness.

Working-memory evaluation based on EEG signals during n-back tasks.

Working memory is the cognitive process of receiving, processing, and communicating information. Early evaluation and training may help to prevent a marked decline in working-memory ability. The aim of this study was to establish an n-back task system for objectively evaluating the working-memory ability based on the θ power, the γ power, and the degree of θ-γ synchronization.

Magnetoencephalography study of different relationships among low- and high-frequency-band neural activities during the induction of peaceful and fearful audiovisual modalities among males and females.

Our previous study estimated the bias from the match attributes of the auditory and visual modalities related to a peaceful mood in the male brain. However, the interactions among the four main frequency bands of neural activity remain unknown. Therefore, this study uses magnetoencephalography to explore gender differences in the perceptions of auditory and visual modalities related to peaceful and fearful moods.

Effect of deep pressure input on parasympathetic system in patients with wisdom tooth surgery.

Background/purpose: Deep pressure input is used to normalize physiological arousal due to stress. Wisdom tooth surgery is an invasive dental procedure with high stress levels, and an alleviation strategy is rarely applied during extraction. In this study, we investigated the effects of deep pressure input on autonomic responses to wisdom tooth extraction in healthy adults.

The High-efficiency LED Driver for Visible Light Communication Applications.

This paper presents a LED driver for VLC. The main purpose is to solve the low data rate problem used to be in switching type LED driver. The GaN power device is proposed to replace the traditional silicon power device of switching LED driver for the purpose of increasing switching frequency of converter, thereby increasing the bandwidth of data transmission.

Gender difference in the theta/alpha ratio during the induction of peaceful audiovisual modalities.

Gender differences in emotional perception have been found in numerous psychological and psychophysiological studies. The conducting modalities in diverse characteristics of different sensory systems make it interesting to determine how cooperation and competition contribute to emotional experiences. We have previously estimated the bias from the match attributes of auditory and visual modalities and revealed specific brain activity frequency patterns related to a peaceful mood.

A programmable high-voltage compliance neural stimulator for deep brain stimulation in vivo.

Deep brain stimulation (DBS) is one of the most effective therapies for movement and other disorders. The DBS neurosurgical procedure involves the implantation of a DBS device and a battery-operated neurotransmitter, which delivers electrical impulses to treatment targets through implanted electrodes. The DBS modulates the neuronal activities in the brain nucleus for improving physiological responses as long as an electric discharge above the stimulation threshold can be achieved.

Time-Varying Network Measures in Resting and Task States Using Graph Theoretical Analysis.

Recent studies have shown the importance of graph theory in analyzing characteristic features of functional networks of the human brain. However, many of these explorations have focused on static patterns of a representative graph that describe the relatively long-term brain activity. Therefore, this study established and characterized functional networks based on the synchronization likelihood and graph theory.

Utilizing the extent of theta-gamma synchronization to estimate visuospatial memory ability.

The ability of human memory declines due to normal aging and cognitive diseases, which means that everyone will eventually be affected by this problem. Fortunately, memory ability can be improved by training, and early detection and treatment can even actively prevent serious memory loss. Based on this principle, we aimed to identify a method for estimating the memory ability in order to slow the progression of memory loss.

Coherent activity between auditory and visual modalities during the induction of peacefulness.

Multisensory integration involves combining information from different senses to create a perception. The diverse characteristics of different sensory systems make it interesting to determine how cooperation and competition contribute to emotional experiences. Therefore, the aim of this study were to estimate the bias from the match attributes of the auditory and visual modalities and to depict specific brain activity frequency (theta, alpha, beta, and gamma) patterns related to a peaceful mood by using magnetoencephalography.

Sensorimotor resonance is an outcome but not a platform to anticipating harm to others.

When perceiving imminent harm to others, quickly detecting potential hazards to oneself should be vital. In this case, mirroring the outcome of observed actions appears paradoxical. This study measured electroencephalographic/event-related potentials and mu suppression that were induced by dynamic animations; each animation was composed of three consecutive pictures depicting an individual being accidentally injured.

An SSVEP-based BCI using high duty-cycle visual flicker.

Steady-state visual-evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have generated significant interest due to their high information transfer rate (ITR). Due to the amplitude-frequency characteristic of the SSVEP, the flickering frequency of an SSVEP-based BCI is typically lower than 20  Hz to achieve a high SNR. However, a visual flicker with a flashing frequency below the critical flicker-fusion frequency often makes subjects feel flicker jerky and causes visual discomfort.

Differences in early dynamic connectivity between visual expansion and contraction stimulations revealed by an fMRI-directed MEG approach.

Background And Purpose: The human visual system responds asymmetrically to visual motion stimuli in opposite directions due to the involvement of the same brain areas but different operating processes. The expansion mode is thought to invoke a vigilance mechanism, whereas the contraction mode does not.

Methods: To investigate discrepancies between these modes, we produced dynamic connectivity maps based on mutual information between visual-evoked dipole sources of magnetoencephalography, which were steered by visual activity patterns in functional magnetic resonance imaging under two motion-stimulus modes.

Frequency recognition in an SSVEP-based brain computer interface using empirical mode decomposition and refined generalized zero-crossing.

This paper presents an empirical mode decomposition (EMD) and refined generalized zero crossing (rGZC) approach to achieve frequency recognition in steady-stated visual evoked potential (SSVEP)-based brain computer interfaces (BCIs). Six light emitting diode (LED) flickers with high flickering rates (30, 31, 32, 33, 34, and 35 Hz) functioned as visual stimulators to induce the subjects' SSVEPs. EEG signals recorded in the Oz channel were segmented into data epochs (0.

Unbroken mirror neurons in autism spectrum disorders.

Background: The 'broken mirror' theory of autism, which proposes that a dysfunction of the human mirror neuron system (MNS) is responsible for the core social and cognitive deficits in individuals with autism spectrum disorders (ASD), has received considerable attention despite weak empirical evidence.

Methods: In this electroencephalographic study, we examined mu suppression, as an indicator of sensorimotor resonance, concurrent with oculomotor performance while individuals (n = 20) with ASD and control participants (n = 20) either executed hand actions or observed hand actions or a moving dot. No difference in visual attention between groups was found as indicated by fixation duration and normalized fixation number on the presented stimuli.

Single-trial analysis of cortical oscillatory activities during voluntary movements using empirical mode decomposition (EMD)-based spatiotemporal approach.

This study presents a method based on empirical mode decomposition (EMD) and a spatial template-based matching approach to extract sensorimotor oscillatory activities from multi-channel magnetoencephalographic (MEG) measurements during right index finger lifting. The longitudinal gradiometer of the sensor unit which presents most prominent SEF was selected on which each single-trial recording was decomposed into a set of intrinsic mode functions (IMFs). The correlation between each IMF of the selected channel and raw data on other channels were created and represented as a spatial map.

Gender differences in the mu rhythm during empathy for pain: an electroencephalographic study.

Our recent magnetoencephalography study demonstrated that the mu rhythm can reliably indicate sensorimotor resonance during the perception of pain in others (Cheng, Y., Yang, C.Y.

Gender differences in the mu rhythm of the human mirror-neuron system.

Background: Psychologically, females are usually thought to be superior in interpersonal sensitivity than males. The human mirror-neuron system is considered to provide the basic mechanism for social cognition. However, whether the human mirror-neuron system exhibits gender differences is not yet clear.