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Yanan Cao, Xiangyi Cao, Zhenzhu Yue, Ling Wang
Behavioral and recent neuroimaging findings have shown reversal of interference effects due to manipulating proportion congruency (PC), which suggests that task-irrelevant stimulus-response (S-R) associations are strengthened and applied to predict responses. However, it is unclear how the strengthened S-R associations are represented and applied in the brain. We investigated with a between-subjects PC paradigm of the Hedge and Marsh task using electroencephalography (EEG). The behavioral results showed the reversal of the conflict effects, suggesting that task-irrelevant S-R associations were strengthened and used to prepare responses...
October 17, 2016: Cognitive, Affective & Behavioral Neuroscience
Rebecca Re, Edoardo Martinenghi, Alberto Dalla Mora, Davide Contini, Antonio Pifferi, Alessandro Torricelli
We report the development of a compact probe for time-domain (TD) functional near-infrared spectroscopy (fNIRS) based on a fast silicon photomultiplier (SiPM) that can be put directly in contact with the sample without the need of optical fibers for light collection. We directly integrated an avalanche signal amplification stage close to the SiPM, thus reducing the size of the detection channel and optimizing the signal immunity to electromagnetic interferences. The whole detection electronics was placed in a plastic screw holder compatible with the electroencephalography standard cap for measurement on brain or with custom probe holders...
October 2016: Neurophotonics
Md Kafiul Islam, Amir Rastegarnia, Zhi Yang
Electroencephalography (EEG) is the most popular brain activity recording technique used in wide range of applications. One of the commonly faced problems in EEG recordings is the presence of artifacts that come from sources other than brain and contaminate the acquired signals significantly. Therefore, much research over the past 15 years has focused on identifying ways for handling such artifacts in the preprocessing stage. However, this is still an active area of research as no single existing artifact detection/removal method is complete or universal...
October 14, 2016: Neurophysiologie Clinique, Clinical Neurophysiology
Tian-Hui Wu, Fei Yin, Jing Peng, Hui-Min Kong, Lin-Hong Li
OBJECTIVE: To study the effect of a microRNA-132 antagonist on lithium-pilocarpine-induced status epilepticus (SE) in young Sprague-Dawley (SD) rats. METHODS: Forty-five 3-week-old SD rats were randomly and equally divided into epilepticus model group, microRNA-132 antagonist group, and microRNA-132 antagonist negative control group. The young SD rat model of SE was established using lithium-pilocarpine. For the microRNA-132 antagonist group and the negative control group, pretreatment was performed 24 hours before the model establishment...
October 2016: Zhongguo Dang Dai Er Ke za Zhi, Chinese Journal of Contemporary Pediatrics
Lei Yang, Wei Xu, Chao-Ying Yan
OBJECTIVE: To study the background patterns and sleep-wake cycles (SWC) on amplitude-integrated electroencephalography (aEEG) in preterm infants with different grades of periventricular-intraventricular hemorrhage (PIVH). METHODS: Fifty-six preterm infants with a gestational age between 25 and 33 weeks who were diagnosed with PIVH and 31 gestational age-matched normal preterm without ICH were enrolled. According to Papile staging criteria, the infants with PIVH were subdivided into mild group (grades I and II) and moderate-severe group (grades III and IV)...
October 2016: Zhongguo Dang Dai Er Ke za Zhi, Chinese Journal of Contemporary Pediatrics
Bhim Mani Adhikari, Martin Norgaard, Kristen M Quinn, Jenine Ampudia, Justin Squirek, Mukesh Dhamala
Musical improvisation offers an excellent experimental paradigm for the study of real-time human creativity. It involves moment-to-moment decision-making, monitoring of one's performance, and utilizing external feedback to spontaneously create new melodies or variations on a melody. Recent neuroimaging studies have begun to study the brain activity during musical improvisation, aiming to unlock the mystery of human creativity. What brain resources come together and how these are utilized during musical improvisation is not well understood...
October 18, 2016: Brain Connectivity
Rawad Obeid, Tammy N Tsuchida
Conventional EEG and amplitude-integrated electroencephalography are used in neonates to assess prognosis and significant changes in brain activity. Neuroactive medications and hypothermia can influence brain activity and therefore alter EEG interpretation. There are limited studies on the effect of these therapies on neonatal EEG background activity. Medication effects on the EEG or amplitude-integrated electroencephalography include increased interburst interval duration, voltage suppression, and sleep disruption...
October 2016: Journal of Clinical Neurophysiology: Official Publication of the American Electroencephalographic Society
Akshansh Gupta, Dhirendra Kumar
A brain computer interface (BCI) is a communication system by which a person can send messages or requests for basic necessities without using peripheral nerves and muscles. Response to mental task-based BCI is one of the privileged areas of investigation. Electroencephalography (EEG) signals are used to represent the brain activities in the BCI domain. For any mental task classification model, the performance of the learning model depends on the extraction of features from EEG signal. In literature, wavelet transform and empirical mode decomposition are two popular feature extraction methods used to analyze a signal having non-linear and non-stationary property...
September 3, 2016: Brain Informatics
Evangelia I Zacharaki, Iosif Mporas, Kyriakos Garganis, Vasileios Megalooikonomou
Epileptiform discharges in interictal electroencephalography (EEG) form the mainstay of epilepsy diagnosis and localization of seizure onset. Visual analysis is rater-dependent and time consuming, especially for long-term recordings, while computerized methods can provide efficiency in reviewing long EEG recordings. This paper presents a machine learning approach for automated detection of epileptiform discharges (spikes). The proposed method first detects spike patterns by calculating similarity to a coarse shape model of a spike waveform and then refines the results by identifying subtle differences between actual spikes and false detections...
June 2016: Brain Informatics
Francesca Pistoia, Simona Sacco, Janet Stewart, Marco Sarà, Antonio Carolei
The experience of pain in disorders of consciousness is still debated. Neuroimaging studies, using functional Magnetic Resonance Imaging (fMRI), Positron Emission Tomography (PET), multichannel electroencephalography (EEG) and laser-evoked potentials, suggest that the perception of pain increases with the level of consciousness. Brain activation in response to noxious stimuli has been observed in patients with unresponsive wakefulness syndrome (UWS), which is also referred to as a vegetative state (VS), as well as those in a minimally conscious state (MCS)...
October 8, 2016: Brain Sciences
Bin Hu, Xiaowei Li, Shuting Sun, Martyn Ratcliffe
The research detailed in this paper focuses on the processing of Electroencephalography (EEG) data to identify attention during the learning process. The identification of affect using our procedures is integrated into a simulated distance learning system that provides feedback to the user with respect to attention and concentration. The authors propose a classification procedure that combines correlation-based feature selection (CFS) and a k-nearest-neighbor (KNN) data mining algorithm. To evaluate the CFS+KNN algorithm, it was test against CFS+C4...
October 11, 2016: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Johanna Metsomaa, Jukka Sarvas, Risto J Ilmoniemi
OBJECTIVE: Blind source separation (BSS) can be used to decompose complex electroencephalography (EEG) or magnetoencephalography data into simpler components based on statistical assumptions without using a physical model. Applications include brain-computer interfaces, artifact removal and identifying parallel neural processes. We wish to address the issue of applying BSS to event-related responses which is challenging because of non-stationary data. METHODS: We introduce a new BSS approach called momentary-uncorrelated component analysis (MUCA) which is tailored for event-related multi-trial data...
October 12, 2016: IEEE Transactions on Bio-medical Engineering
Michele Porcu, Antonella Balestrieri, Paolo Siotto, Pierleone Lucatelli, Michele Anzidei, Jasjit S Suri, Fulvio Zaccagna, Giovanni Maria Argiolas, Luca Saba
Mood disorders (MD) are important and frequent psychiatric pathologies, and the management of the patients affected by thes conditions represent an important factor of disability and a huge problem in socialterms and an economic burden. The "in-vivo" studies can help researchers to understand the first events at the base of the development of the pathology and to identify the molecular and non-molecular targets of therapies, but theyhave strong limitations due to the fact that human brain circuitsthem selvesare difficult to be reproduced in animal models...
October 10, 2016: Neuroscience Letters
Alejandro Lopez Rincon, Shingo Shimoda
BACKGROUND: Acquiring information about the distribution of electrical sources in the brain from electroencephalography (EEG) data remains a significant challenge. An accurate solution would provide an understanding of the inner mechanisms of the electrical activity in the brain and information about damaged tissue. NEW METHOD: In this paper, we present a methodology for reconstructing brain electrical activity from EEG data by using the bidomain formulation. The bidomain model considers continuous active neural tissue coupled with a nonlinear cell model...
October 10, 2016: Journal of Neuroscience Methods
Charles L Francoeur, Stephan A Mayer
For patients who survive the initial bleeding event of a ruptured brain aneurysm, delayed cerebral ischemia (DCI) is one of the most important causes of mortality and poor neurological outcome. New insights in the last decade have led to an important paradigm shift in the understanding of DCI pathogenesis. Large-vessel cerebral vasospasm has been challenged as the sole causal mechanism; new hypotheses now focus on the early brain injury, microcirculatory dysfunction, impaired autoregulation, and spreading depolarization...
October 14, 2016: Critical Care: the Official Journal of the Critical Care Forum
Shu Morioka, Michihiro Osumi, Mayu Shiotani, Satoshi Nobusako, Hiroshi Maeoka, Yohei Okada, Makoto Hiyamizu, Atsushi Matsuo
Smooth social communication consists of both verbal and non-verbal information. However, when presented with incongruence between verbal information and nonverbal information, the relationship between an individual judging trustworthiness in those who present the verbal-nonverbal incongruence and the brain activities observed during judgment for trustworthiness are not clear. In the present study, we attempted to identify the impact of incongruencies between verbal information and facial expression on the value of trustworthiness and brain activity using event-related potentials (ERP)...
2016: PloS One
Luigi Bellocchio, Andrea Ruiz-Calvo, Anna Chiarlone, Magali Cabanas, Eva Resel, Jean-René Cazalets, Cristina Blázquez, Yoon H Cho, Ismael Galve-Roperh, Manuel Guzmán
: The dorsal striatum is a major input structure of the basal ganglia and plays a key role in the control of vital processes such as motor behavior, cognition, and motivation. The functionality of striatal neurons is tightly controlled by various metabotropic receptors. Whereas the Gs/Gi-protein-dependent tuning of striatal neurons is fairly well known, the precise impact and underlying mechanism of Gq-protein-dependent signals remain poorly understood. Here, using different experimental approaches, especially designer receptor exclusively activated by designer drug (DREADD) chemogenetic technology, we found that sustained activation of Gq-protein signaling impairs the functionality of striatal neurons and we unveil the precise molecular mechanism underlying this process: a phospholipase C/Ca(2+)/proline-rich tyrosine kinase 2/cJun N-terminal kinase pathway...
October 12, 2016: Journal of Neuroscience: the Official Journal of the Society for Neuroscience
Eveline Teresa Hidalgo, Howard L Weiner
New developments in diagnostic methods, technical improvements in the surgical field, and a better understanding of the effects of epilepsy on the developing brain are contributing to the general observation that more children with epilepsy are being treated surgically. Malformations of cortical development are the most common cause of seizures in pediatric surgical candidates, and the best predictor of seizure freedom after surgery appears to be the complete removal of the epileptogenic lesion. To achieve this goal in challenging cases, such as magnetic resonance imaging-negative or multifocal lesions, a staged approach with pre- and/or post-resective invasive electroencephalography monitoring has increasingly been used at a number of centers...
October 11, 2016: Developmental Medicine and Child Neurology
Xiao-Su Hu, Clayton A Fisher, Stephanie M Munz, Rebecca L Toback, Thiago D Nascimento, Emily L Bellile, Laura Rozek, Avraham Eisbruch, Francis P Worden, Theodora E Danciu, Alexandre F DaSilva
Patients with head and neck cancer often experience a significant decrease in their quality of life during chemoradiotherapy (CRT) due to treatment-related pain, which is frequently classified as severe. Transcranial direct current stimulation (tDCS) is a method of non-invasive brain stimulation that has been frequently used in experimental and clinical pain studies. In this pilot study, we investigated the clinical impact and central mechanisms of twenty primary motor cortex (M1) stimulation sessions with tDCS during 7 weeks of CRT for head and neck cancer...
2016: Frontiers in Human Neuroscience
Laura D Lewis, Kawin Setsompop, Bruce R Rosen, Jonathan R Polimeni
Oscillatory neural dynamics play an important role in the coordination of large-scale brain networks. High-level cognitive processes depend on dynamics evolving over hundreds of milliseconds, so measuring neural activity in this frequency range is important for cognitive neuroscience. However, current noninvasive neuroimaging methods are not able to precisely localize oscillatory neural activity above 0.2 Hz. Electroencephalography and magnetoencephalography have limited spatial resolution, whereas fMRI has limited temporal resolution because it measures vascular responses rather than directly recording neural activity...
October 11, 2016: Proceedings of the National Academy of Sciences of the United States of America
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