Although schizophrenia is characterized by gray matter (GM) abnormalities, particularly in the prefrontal and temporal cortices, it unclear whether cerebral cortical GM abnormal individuals at ultra-high-risk (UHR) for psychosis. We addressed this issue studying thickness group with magnetic resonance imaging (MRI). measured of 29 no family history psychosis UHR, 31 patients schizophrenia, healthy matched control subjects using automated surface-based analysis structural MRI data....

Recent human neuroimaging studies have suggested that fibromyalgia (FM), a chronic widespread pain disorder, exhibits altered thalamic structure and function. Since the thalamus has extensive reciprocal connection with cortex, structural functional alterations in FM might be linked to aberrant thalamocortical oscillation. This study investigated presence of abnormal brain rhythmicity low- high-frequency bands during resting state patients their relationship clinical symptom. Spontaneous...

Abstract Motor imagery (MI) is the only way for disabled subjects to robustly use a robot arm with brain-machine interface. There are two main types of MI. Kinesthetic motor (KMI) proprioceptive (OR somato-) sensory imagination and Visual (VMI) represents visualization corresponding movement incorporating visual network. Because these tactics may different networks, we hypothesized that connectivity measures could characterize imageries better than local activity. Electroencephalography data...

Abstract Electrocorticogram (ECoG) is an electrophysiological signal that results from the summation of neuronal activity near cortical surface. To record ECoG signals, scalp and skull are surgically opened electrodes placed on surface, either epidurally or subdurally. Owing to its improved spatiotemporal resolution quality compared with electroencephalography, it widely used diagnose treat neurological disorders in clinical settings for several decades, despite invasiveness ECoG. Recently,...

Objective. Studies on the non-invasive brain–machine interface that controls prosthetic devices via movement intentions are at their very early stages. Here, we aimed to estimate three-dimensional arm movements using magnetoencephalography (MEG) signals with high accuracy. Approach. Whole-head MEG were acquired during reaching (center-out paradigm). For decoding, selected 68 channels in motor-related areas, which band-pass filtered four subfrequency bands (0.5–8, 9–22, 25–40 and 57–97 Hz)....

Symptoms of schizophrenia are related to deficits in self-monitoring function, which may be a consequence irregularity aspects the default mode network (DMN). Schizophrenia can also characterized by functional abnormality brain activity that is reflected resting state. Oscillatory analysis provides an important understanding activity. However, conventional methods using electroencephalography restricted because low spatial resolution, despite their excellent temporal resolution. The aim this...

Background: The conscious state is maintained through intact communication between brain regions. However, studies on global and regional connectivity changes in unconscious have been inconsistent. These inconsistencies could arise from unclear definition of unconsciousness, spatial temporal limitations neuroimaging modalities, estimating only single measure. Here, we investigated amplitude phase based functional propofol-induced which widely recognized as unconsciousness. Methods: We...

We investigated the reliability of nodal network metrics functional connectivity (FC) networks magnetoencephalography (MEG) covering whole brain at sensor level in eyes-closed (EC) and eyes-open (EO) resting states. Mutual information (MI) was employed as a measure FC between sensors theta, alpha, beta, gamma frequency bands MEG signals. MI matrices were assessed with three metrics, i.e., degree (Dnodal), efficiency (Enodal), betweenness centrality (normBC). Intraclass correlation (ICC)...

Abstract In our daily lives, we are confronted with a large amount of information. Because only small fraction can be encoded in long‐term memory, the brain must rely on powerful mechanisms to filter out irrelevant To understand neuronal underlying gating information into employed paradigm where encoding was directed by “Remember” or “No‐Remember” cue. We found that posterior alpha activity increased prior stimuli, whereas it decreased stimuli. The sources were localized parietal cortex...

In the present study, we characterized within- and cross-frequency power correlations from magnetoencephalography (MEG) data in order to understand how different brain regions cooperate as a network maintain working memory representations with several features. The items were composed of spatially arranged dots supposedly requiring both dorsal ventral stream be engaged during maintenance. Using beamforming technique, localized memory-dependent sources alpha, beta, gamma bands. After...

Supplementary motor area (SMA) resection often induces postoperative contralateral hemiparesis or speech disturbance. This study was performed to assess the neurological impairments that follow SMA and risk factors associated with these deficits.The records for patients who had undergone pharmacologically intractable epilepsy between 1994 2010 were gleaned from an surgery database retrospectively reviewed in this study.Forty-three underwent intraoperative cortical stimulation mapping while...

Abstract Neuronal oscillations provide a window for understanding the brain dynamics that organize flow of information from sensory to memory areas. While it has been suggested gamma power reflects feedforward processing and alpha feedback control, remains unknown how these dynamically interact. Magnetoencephalography (MEG) data was acquired healthy subjects who were cued either remember or not presented pictures. Our analysis revealed in anticipation picture be remembered, decreased while...

Recent electrophysiological and neuroimaging studies have explored how where musical syntax in Western music is processed the human brain. An inappropriate chord progression elicits an event-related potential (ERP) component called early right anterior negativity (ERAN) or simply (EAN) stage of processing syntax. Though possible underlying mechanism EAN assumed to be probabilistic learning, effect probability progressions on response has not been previously explicitly.In present study,...

Fibromyalgia (FM) is a chronic widespread pain condition linked to central sensitization. Altered excitability of sensorimotor cortex has been proposed as an underlying pathology FM. This study aimed investigate intracortical the primary somatosensory (S1) and its potential role in clinical patients with Somatosensory evoked magnetic fields were recorded 17 right-handed females FM 21 age-, sex-, handedness-matched healthy control subjects. Paired-pulse median nerve stimulation was delivered...

A brain-machine interface (BMI) should be able to help people with disabilities by replacing their lost motor functions. To replace functions, robot arms have been developed that are controlled invasive neural signals. Although signals a high spatial resolution, non-invasive valuable because they provide an without surgery. Thus, various researchers driven However, arm control based on the imagined trajectory of human hand can more intuitive for patients. In this study, therefore, integrated...

Although recent imaging studies of fibromyalgia (FM) have converged on a dysfunction central pain processing as the primary pathophysiologic cause disorder, microstructural changes white matter (WM) suggestive abnormalities in anatomic connectivity brain not been extensively examined. The aim this study was to investigate WM integrity and its possible relationship symptoms women with FM.Nineteen FM patients 21 age-, sex-, education-matched healthy control subjects were included underwent...

Fibromyalgia (FM), chronic widespread pain, exhibits spontaneous pain without external stimuli and is associated with altered brain activities during resting state. To understand the topological features of network in FM, we employed persistent homology which a multiple scale modeling framework not requiring thresholding. Spontaneous magnetoencephalography (MEG) activity was recorded 19 healthy controls (HCs) 18 FM patients. Barcode, single linkage dendrogram matrix were generated based on...

Abstract Understanding how the brain controls movements is a critical issue in neuroscience. The role of changes rapidly according to movement states. To elucidate motor control mechanism brain, it essential investigate network motor-related regions Therefore, objective this study was transitions We measured whole magnetoencephalography (MEG) signals and extracted source 24 areas. Functional connectivity centralities were calculated time flow. Our results showed that networks differed...