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Functional electroencephalography

Quanying Liu, Marco Ganzetti, Nicole Wenderoth, Dante Mantini
Resting state networks (RSNs) in the human brain were recently detected using high-density electroencephalography (hdEEG). This was done by using an advanced analysis workflow to estimate neural signals in the cortex and to assess functional connectivity (FC) between distant cortical regions. FC analyses were conducted either using temporal (tICA) or spatial independent component analysis (sICA). Notably, EEG-RSNs obtained with sICA were very similar to RSNs retrieved with sICA from functional magnetic resonance imaging data...
2018: Frontiers in Neuroinformatics
Amrita Aranake-Chrisinger, Jenny Zhao Cheng, Maxwell R Muench, Rose Tang, Angela Mickle, Hannah Maybrier, Nan Lin, Troy Wildes, Eric Lenze, Michael Simon Avidan
INTRODUCTION: Postoperative delirium (POD) is a common complication in elderly patients, characterised by a fluctuating course of altered consciousness, disordered thinking and inattention. Preliminary research has linked POD with persistent cognitive impairment and decreased quality of life. However, these findings maybe confounded by patient comorbidities, postoperative complications and frailty. Our objective is to determine whether POD is an independent risk factor for persistent impairments in attention and executive function after elective surgery...
March 17, 2018: BMJ Open
Antonella Macerollo, Matt J N Brown, James M Kilner, Robert Chen
Measurements of somatosensory evoked potentials (SEPs), recorded using electroencephalography during different phases of movement, have been fundamental in understanding the neurophysiological changes related to motor control. SEP recordings have also been used to investigate adaptive plasticity changes in somatosensory processing related to active and observational motor learning tasks. Combining noninvasive brain stimulation with SEP recordings and intracranial SEP depth recordings, including recordings from deep brain stimulation electrodes, has been critical in identifying neural areas involved in specific temporal stages of somatosensory processing...
March 14, 2018: Trends in Neurosciences
Frederic von Wegner, Helmut Laufs, Enzo Tagliazucchi
Long-range memory in time series is often quantified by the Hurst exponent H, a measure of the signal's variance across several time scales. We analyze neurophysiological time series from electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) resting state experiments with two standard Hurst exponent estimators and with the time-lagged mutual information function applied to discretized versions of the signals. A confidence interval for the mutual information function is obtained from surrogate Markov processes with equilibrium distribution and transition matrix identical to the underlying signal...
February 2018: Physical Review. E
Marinho A Lopes, Mark P Richardson, Eugenio Abela, Christian Rummel, Kaspar Schindler, Marc Goodfellow, John R Terry
Recent studies have shown that mathematical models can be used to analyze brain networks by quantifying how likely they are to generate seizures. In particular, we have introduced the quantity termed brain network ictogenicity (BNI), which was demonstrated to have the capability of differentiating between functional connectivity (FC) of healthy individuals and those with epilepsy. Furthermore, BNI has also been used to quantify and predict the outcome of epilepsy surgery based on FC extracted from pre-operative ictal intracranial electroencephalography (iEEG)...
2018: Frontiers in Neurology
Rupesh K Chikara, Erik C Chang, Yi-Chen Lu, Dar-Shong Lin, Chin-Teng Lin, Li-Wei Ko
A reward or punishment can modulate motivation and emotions, which in turn affect cognitive processing. The present simultaneous functional magnetic resonance imaging-electroencephalography study examines neural mechanisms of response inhibition under the influence of a monetary reward or punishment by implementing a modified stop-signal task in a virtual battlefield scenario. The participants were instructed to play as snipers who open fire at a terrorist target but withhold shooting in the presence of a hostage...
2018: Frontiers in Human Neuroscience
Julia N Bailey, Laurence de Nijs, Dongsheng Bai, Toshimitsu Suzuki, Hiroyuki Miyamoto, Miyabi Tanaka, Christopher Patterson, Yu-Chen Lin, Marco T Medina, María E Alonso, José M Serratosa, Reyna M Durón, Viet H Nguyen, Jenny E Wight, Iris E Martínez-Juárez, Adriana Ochoa, Aurelio Jara-Prado, Laura Guilhoto, Yolly Molina, Elsa M Yacubian, Minerva López-Ruiz, Yushi Inoue, Sunao Kaneko, Shinichi Hirose, Makiko Osawa, Hirokazu Oguni, Shinji Fujimoto, Thierry M Grisar, John M Stern, Kazuhiro Yamakawa, Bernard Lakaye, Antonio V Delgado-Escueta
BACKGROUND: In juvenile myoclonic epilepsy, data are limited on the genetic basis of networks promoting convulsions with diffuse polyspikes on electroencephalography (EEG) and the subtle microscopic brain dysplasia called microdysgenesis. METHODS: Using Sanger sequencing, we sequenced the exomes of six members of a large family affected with juvenile myoclonic epilepsy and confirmed cosegregation in all 37 family members. We screened an additional 310 patients with this disorder for variants on DNA melting-curve analysis and targeted real-time DNA sequencing of the gene encoding intestinal-cell kinase ( ICK)...
March 15, 2018: New England Journal of Medicine
Federico Gennaro, Eling D de Bruin
Assessment of the cortical role during bipedalism has been a methodological challenge. While surface electroencephalography (EEG) is capable of non-invasively measuring cortical activity during human locomotion, it is associated with movement artifacts obscuring cerebral sources of activity. Recently, statistical methods based on blind source separation revealed potential for resolving this issue, by segregating non-cerebral/artifactual from cerebral sources of activity. This step marked a new opportunity for the investigation of the brains' role while moving and was tagged mobile brain/body imaging (MoBI)...
2018: Frontiers in Public Health
Marcos Daou, Julia Montagner Sassi, Matthew W Miller, Adam M Gonzalez
This study assessed whether a multi-ingredient energy supplement (MIES) could enhance cerebral-cortical activation and cognitive performance during an attention-switching task. Cerebral-cortical activation was recorded in 24 young adults (12 males, 12 females; 22.8 ± 3.8 yrs) via electroencephalography (EEG) both at rest and during the attention-switching task before (pretest) and 30 min after (posttest) consumption of a single serving of a MIES (MIES-1), two servings of a MIES (MIES-2), or a placebo (PL) in a double-blinded, randomized crossover experimental design...
March 13, 2018: Journal of Dietary Supplements
Jaeyoung Shin, Jinuk Kwon, Chang-Hwan Im
The performance of a brain-computer interface (BCI) can be enhanced by simultaneously using two or more modalities to record brain activity, which is generally referred to as a hybrid BCI. To date, many BCI researchers have tried to implement a hybrid BCI system by combining electroencephalography (EEG) and functional near-infrared spectroscopy (NIRS) to improve the overall accuracy of binary classification. However, since hybrid EEG-NIRS BCI, which will be denoted by hBCI in this paper, has not been applied to ternary classification problems, paradigms and classification strategies appropriate for ternary classification using hBCI are not well investigated...
2018: Frontiers in Neuroinformatics
S Sastre-Riba, T Ortiz
INTRODUCTION: From a differential perspective, high intellectual ability is an expression of intellectual functioning with characteristic functional correlates and structural correlates of the underlying neural activity that suggests an improved executive capacity as a relevant characteristic, highlighting in it a more effective working memory. DEVELOPMENT: The neuroscientific evidences about the neural mechanisms that can explain the differences are analyzed between the intellectual functioning of the high intellectual ability and the typical intellectual capacity...
March 1, 2018: Revista de Neurologia
Ruud C Van Kaam, Michel J A M van Putten, Sarah E Vermeer, Jeannette Hofmeijer
BACKGROUND: The noninjured, contralateral hemisphere is increasingly acknowledged in the process of recovery from acute ischemic stroke. We estimated the value of conventional electroencephalography (EEG) recordings for identifying contralateral hemisphere involvement in relation to functional recovery. METHODS: We analyzed 2-min epochs from 21 electrode EEG registrations of 18 patients with acute hemispheric ischemic stroke and compared with 18 age-matched controls...
March 6, 2018: Cerebrovascular Diseases
Maitreyee Wairagkar, Yoshikatsu Hayashi, Slawomir J Nasuto
Brain computer interfaces (BCIs) provide a direct communication channel by using brain signals, enabling patients with motor impairments to interact with external devices. Motion intention detection is useful for intuitive movement-based BCI as movement is the fundamental mode of interaction with the environment. The aim of this paper is to investigate the temporal dynamics of brain processes using electroencephalography (EEG) to explore novel neural correlates of motion intention. We investigate the changes in temporal dependencies of the EEG by characterising the decay of autocorrelation during asynchronous voluntary finger tapping movement...
2018: PloS One
Josef Parvizi, Sabine Kastner
Intracranial electroencephalography (iEEG), also known as electrocorticography when using subdural grid electrodes or stereotactic EEG when using depth electrodes, is blossoming in various fields of human neuroscience. In this article, we highlight the potentials of iEEG in exploring functions of the human brain while also considering its limitations. The iEEG signal provides anatomically precise information about the selective engagement of neuronal populations at the millimeter scale and the temporal dynamics of their engagement at the millisecond scale...
March 5, 2018: Nature Neuroscience
A M Ardi Handojoseno, Ganesh R Naik, Moran Gilat, James M Shine, Tuan N Nguyen, Quynh T Ly, Simon J G Lewis, Hung T Nguyen
Freezing of gait (FOG) is an episodic gait disturbance affecting initiation and continuation of locomotion in many Parkinson's disease (PD) patients, causing falls and a poor quality of life. FOG can be experienced on turning and start hesitation, passing through doorways or crowded areas dual tasking, and in stressful situations. Electroencephalography (EEG) offers an innovative technique that may be able to effectively foresee an impending FOG. From data of 16 PD patients, using directed transfer function (DTF) and independent component analysis (ICA) as data pre-processing, and an optimal Bayesian neural network as a predictor of a transition of 5 seconds before the impending FOG occurs in 11 in-group PD patients, we achieved sensitivity and specificity of 85...
2018: Studies in Health Technology and Informatics
Hyoungkyu Kim, Anthony G Hudetz, Joseph Lee, George A Mashour, UnCheol Lee
The integrated information theory (IIT) proposes a quantitative measure, denoted as Φ, of the amount of integrated information in a physical system, which is postulated to have an identity relationship with consciousness. IIT predicts that the value of Φ estimated from brain activities represents the level of consciousness across phylogeny and functional states. Practical limitations, such as the explosive computational demands required to estimate Φ for real systems, have hindered its application to the brain and raised questions about the utility of IIT in general...
2018: Frontiers in Human Neuroscience
Yifei He, Miriam Steines, Gebhard Sammer, Arne Nagels, Tilo Kircher, Benjamin Straube
Language and action have been thought of as closely related. Comprehending words or phrases that are related to actions commonly activates motor and premotor areas, and this comprehension process interacts with action preparation and/or execution. However, it remains unclear whether comprehending action-related language interacts with action observation. In the current study, we examined whether the observation of tool-use gesture subjects to interaction with language. In an electroencephalography (EEG) study (n = 20), participants were presented with video clips of an actor performing tool-use (TU, e...
March 2, 2018: Brain Topography
Catherine J Vossen, Rosan Luijcks, Jim van Os, Elbert A Joosten, Richel Lousberg
Aim: In chronic pain, habituation is believed to be impaired, and pain hypervigilance can enhance the pain experience. The goal of this study was to determine whether pain hypervigilance further worsens habituation of event-related potentials, measured in a pain-rating protocol of 25 painful somatosensory electrical stimuli, in patients with chronic pain. Methods: Pain hypervigilance was assessed with the Pain Vigilance Awareness Questionnaire and analyzed using the event-related fixed interval areas multilevel technique, which enables one to study within-session habituation...
2018: Journal of Pain Research
Nicola Palomero-Gallagher, Karl Zilles
Mapping of the human brain is more than the generation of an atlas-based parcellation of brain regions using histologic or histochemical criteria. It is the attempt to provide a topographically informed model of the structural and functional organization of the brain. To achieve this goal a multimodal atlas of the detailed microscopic and neurochemical structure of the brain must be registered to a stereotaxic reference space or brain, which also serves as reference for topographic assignment of functional data, e...
2018: Handbook of Clinical Neurology
Bin He, Abbas Sohrabpour, Emery Brown, Zhongming Liu
Brain activity and connectivity are distributed in the three-dimensional space and evolve in time. It is important to image brain dynamics with high spatial and temporal resolution. Electroencephalography (EEG) and magnetoencephalography (MEG) are noninvasive measurements associated with complex neural activations and interactions that encode brain functions. Electrophysiological source imaging estimates the underlying brain electrical sources from EEG and MEG measurements. It offers increasingly improved spatial resolution and intrinsically high temporal resolution for imaging large-scale brain activity and connectivity on a wide range of timescales...
March 1, 2018: Annual Review of Biomedical Engineering
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