EEG Markers for Recognition Auditory Images in Norm and Psychopathology
International Journal of Psychophysiology. 2016. Vol. 108. P. 80.
Lytaev S., Aleksandrov M., Surovitskaj Y., Lytaev M.
Effect of the static magnetic field of the MR-scanner on ERPs: evaluation of visual, cognitive and motor potentials
, , et al., Clinical Neurophysiology 2010 Vol. 121 P. 672-685
This work investigates the influence of the static magnetic field of the MR-scanner onERPs extracted from simultaneous EEG–fMRI recordings. The quality of the ERPs after BallistoCardioGraphic (BCG) artifact removal, as well as the reproducibility of the waveforms in different environments is investigated. We consider a Detection, a Go–Nogo and a Motor task, eliciting peaks that differ in amplitude, ...
Added: July 10, 2015
, , et al., Human Brain Mapping 2015 Vol. 36 No. 8 P. 2901-2914
Relating behavioral and neuroimaging measures is essential to understanding human brain function. Often, this is achieved by computing a correlation between behavioral measures, e.g., reaction times, and neurophysiological recordings, e.g., prestimulus EEG alpha-power, on a single-trial-basis. This approach treats individual trials as independent measurements and ignores the fact that data are acquired in a temporal order. It has ...
Added: May 13, 2015
Cortical networks for reference-frame processing are shared by language and spatial navigation systems
, , Neuroimage 2017 Vol. 161 P. 120-133
To help us live in the three-dimensional world, our brain integrates incoming spatial information into reference frames, which are based either on our own body (egocentric) or independent from it (allocentric). Such frames, however, may be crucial not only when interacting with the visual world, but also in language comprehension, since even the simplest utterance ...
Added: October 23, 2017
, , et al., Lecture Notes in Computer Science 2014 Vol. 8534 P. 288-295
The main syndrome of severe poisoning is coma. An option of coma outcome is a vegetative state. EEG reactivity due to intravenous benzodiazepines estimates the prognosis for such patients. However, a positive benzodiazepines test has the predictability of about 50-60 %. The aim of the work is to assess the role of interaction between gamma ...
Added: June 26, 2018
, , et al., , in: Proceedings of the 3rd International Conference Neurobiology of Speech and Language. .: Scifiya-print, 2019.. P. 90-91.
Metacognitive monitoring is a powerful tool that supports our ongoing cognitive processes (Flavell, 1976). In applied settings, such as when we are trying to learn a new language, monitoring the learning progress may determine the difference between success and failure. One way to measure metacognitive monitoring in relation to learning new material is the so-called ...
Added: September 15, 2019
, , , Scientific Reports 2021 No. 11 P. 1-8
Added: January 26, 2021
The Effect of Experimental Conditions, the Sample Size and Session Duration on Resting-State Subjective Experience.
, , et al., Psychology. Journal of the Higher School of Economics 2020 Vol. 17 No. 3 P. 592-607
Our research aims to study the difference in resting-state during EEG and fMRI experimental conditions, each of which has its own peculiarities. Therefore, we conducted EEG and fMRI experiments very close in terms of conditions, during which 108 and 109 healthy participants, respectively, were recorded at rest for ten minutes. Subjective content of conscious during ...
Added: October 8, 2020
, , et al., Neuroimage 2014 No. 96 P. 334-348
Phase synchronization among neuronal oscillations within the same frequency band has been hypothesized to be a major mechanism for communication between different brain areas. On the other hand, cross-frequency communications are more flexible allowing interactions between oscillations with different frequencies. Among such cross-frequency interactions amplitude-to-amplitude interactions are of a special interest as they show how ...
Added: October 23, 2014
, , Frontiers in Human Neuroscience 2017 No. 11 P. 1-3
More than a decade of neuroimaging research has established that several distinct brain networks are consistently recruited during social punishment, that is, the propensity of cooperative individuals to spend some of their resources penalizing norm violators. Studies in behavioral economics have shown that social punishment can explain why genetically unrelated individuals are often able to ...
Added: October 9, 2017
Early and parallel processing of pragmatic and semantic information in speech acts: neurophysiological evidence
, , , Frontiers in Human Neuroscience 2013 Vol. 7 No. 86 P. 1-13
Although language is a tool for communication, most research in the neuroscience of language has focused on studying words and sentences, while little is known about the brain mechanisms of speech acts, or communicative functions, for which words and sentences are used as tools. Here the neural processing of two types of speech acts, Naming ...
Added: October 23, 2014
Cardiac afferent activity modulates early neural signature of error detection during skilled performance
, , et al., Neuroimage 2019 Vol. 199 P. 704-717
Behavioral adaptations during performance rely on predicting and evaluating the consequences of our actions through action monitoring. Previous studies revealed that proprioceptive and exteroceptive signals contribute to error-monitoring processes, which are implemented in the posterior medial frontal cortex. Interestingly, errors also trigger changes in autonomic nervous system activity such as pupil dilation or heartbeat deceleration. Yet, the contribution ...
Added: October 27, 2020
, , et al., Anales de Psicologia 2021 Vol. 37 No. 3 P. 459-467
The aim of this research was to study the effect of a cue signalling the upcoming of a phobic picture on the electrocortical activity provoked by the disorder-relevant stimulus in in blood-injection-injury (BII) phobia and snake phobia. A sample of 13 BII phobia participants, 12 snake phobia individuals and 14 non-phobic controls underwent an S1-S2 ...
Added: August 17, 2021
Word tones cueing morphosyntactic structure: Neuroanatomical substrates and activation time-course assessed by EEG and fMRI
, , et al., Brain and Language 2015 Vol. 150 P. 14-21
Previous studies distinguish between right hemisphere-dominant processing of prosodic/tonal information and left-hemispheric modulation of grammatical information as well as lexical tones. Swedish word accents offer a prime testing ground to better understand this division. Although similar to lexical tones, word accents are determined by words' morphosyntactic structure, which enables listeners to use the tone at ...
Added: October 23, 2015
, , et al., Neuroimage 2020 Vol. 207 P. 116373
Variability of neural activity is regarded as a crucial feature of healthy brain function, and several neuroimaging approaches have been employed to assess it noninvasively. Studies on the variability of both evoked brain response and spontaneous brain signals have shown remarkable changes with aging but it is unclear if the different measures of brain signal ...
Added: September 16, 2020
, , et al., , in: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020. Lecture Notes in Computer Science. Vol. 12449: Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology.: Springer, 2020.. Ch. 5. P. 45-55.
Electroencephalography (EEG) is a well-established non-invasive technique to measure the brain activity, albeit with a limited spatial resolution. Variations in electric conductivity between different tissues distort the electric fields generated by cortical sources, resulting in smeared potential measurements on the scalp. One needs to solve an ill-posed inverse problem to recover the original neural activity. In this article, ...
Added: December 10, 2020
Temporal Signatures of Criticality in Human Cortical Excitability as Probed by Early Somatosensory Responses
, , et al., Journal of Neuroscience 2020 Vol. 40 No. 34 P. 6572-6583
Brain responses vary considerably from moment to moment, even to identical sensory stimuli. This has been attributed to changes in instantaneous neuronal states determining the system's excitability. Yet the spatiotemporal organization of these dynamics remains poorly understood. Here we test whether variability in stimulus-evoked activity can be interpreted within the framework of criticality, which postulates ...
Added: September 15, 2020
Dataset of spiking and LFP activity invasively recorded in the human amygdala during aversive dynamic stimuli
, , et al., Scientific data 2021 Vol. 8 P. 1-6
We present an electrophysiological dataset collected from the amygdalae of nine participants attending a visual dynamic stimulation of emotional aversive content. The participants were patients affected by epilepsy who underwent preoperative invasive monitoring in the mesial temporal lobe. Participants were presented with dynamic visual sequences of fearful faces (aversive condition), interleaved with sequences of neutral ...
Added: January 31, 2021
, , et al., , in: Language Electrified. .: Springer Publishing Company, 2021..
Rapid technological advancements have led to a significant progress in research methods for cognitive sciences. Today scientists can easily use various neurophysiological methods in order to study human behavior and its underlying brain mechanisms and cognitive processes. Among such methods is eye-tracking — a technique allowing recording and analysis of the online oculomotor behavior. Since ...
Added: October 1, 2020
Proceedings of the IEEE 2021 P. 450-454
Anxiety is one of the most prevalent mental disorders, affecting approximately 5-10% of the adult population worldwide. It can severely impact quality of life, but also place a large burden on the health systems. Despite its omnipresence and impact on mental and physical health, most of the individuals suffering from anxiety do not receive appropriate ...
Added: October 6, 2021
Characteristic of electrophysiological activity of the cerebral cortex in children with arthrogryposis.
, , et al., Neuromuscular Diseases 2018 No. 8 P. 10-17
Arthrogryposis is one of the most severe congenital abnormalities of the musculoskeletal system characterized by 2 or more contractures of the large joints, muscle and anterior grey column pathology. One of the main problems making selfcare limited or impossible for the patients is an absence of the active movements in the joints of the upper ...
Added: October 28, 2019
Dataset of human medial temporal lobe neurons, scalp and intracranial EEG during a verbal working memory task
, , et al., Scientific data 2020 Vol. 7 No. 1 P. 1-7
We present an electrophysiological dataset recorded from nine subjects during a verbal working memory task. Subjects were epilepsy patients undergoing intracranial monitoring for the localization of epileptic seizures. Subjects performed a modified Sternberg task in which the encoding of memory items, maintenance, and recall were temporally separated. The dataset includes simultaneously recorded scalp EEG with ...
Added: May 18, 2020
, , et al., Нервно-мышечные болезни 2018 Т. 8 № 2 С. 25-32
Background. Arthrogryposis is one of the most severe congenital abnormalities of the musculoskeletal system characterized by 2 or more contractures of the large joints, muscle and anterior grey column pathology. One of the main problems making self-care limited or impossible for the patients is an absence of the active movements in the joints of the upper ...
Added: October 31, 2018
Материалы Международной научной конференции "Аналитические и вычислительные методы в теории вероятностей и ее приложениях", Data mining in predicting neuro-developmental scores from EEG data during coma due to cerebral malaria, 2017, стр. 380 -383
, , , RUDN, 2017
In this research we compare the performance of different data mining techniques in the analysis of electroencephalogram (EEG) data. We study the question od predicting post-comatose neuro-developmental scores based mainly on statistical features of the EEG recordings. We compare results from applying different data mining techniques, such as the Elastic Net, Lasso, Gaussian Support Vector ...
Added: October 31, 2019
, , et al., Clinical Neurophysiology 2016 Vol. 127 No. 9 P. 3066-3074
Objective: High frequency oscillations (HFOs) and in particular fast ripples (FRs) in the post-resection electrocorticogram (ECoG) have recently been shown to be highly specific predictors of outcome of epilepsy surgery. FR visual marking is time consuming and prone to observer bias. We validate here a fully automatic HFO detector against seizure outcome. Methods: Pre-resection ECoG dataset (N=14 patients) ...
Added: January 31, 2021