Search results for "Ceph"
showing 10 items of 2036 documents
Extraction of event-related potentials from electroencephalography data
2009
Dracocephalum ruyschiana L. (Odenpa, Igaunija)
1848
Ruiša pūķgaleve, atradne: Odenpa, Igaunijā. /// Northern Dragon-head, deposit Odenpa, Estonia. [Attēls no LU Muzeja kolekcijas Herbarium Latvicum (RIG II); (BOT1029_16)]
Análisis sistemático y cuantitativo del registro de presión intracraneal en el niño y adulto joven
2015
La hidrocefalia y trastornos de la circulación del líquido cefalorraquídeo suponen una importante fuente de discapacidad y carga asistencial en el campo de la neurocirugía en general y en la población pediátrica en particular. Su tratamiento consiste principalmente en la implantación de tratamientos derivativos del líquido cefalorraquídeo, los cuales han sido el procedimiento que más vidas y más función neurológica han preservado en el último siglo en esta especialidad. El diagnóstico de los trastornos de líquido suele ser evidente basándose en datos clínicos y radiológicos. Sin embargo, en ocasiones se presentan de manera más insidiosa y su diagnóstico requiere de pruebas invasivas que per…
A single transient episode of hyperammonemia induces long-lasting alterations in protein kinase A.
2007
A single transient episode of hyperammonemia induces long-lasting alterations in protein kinase A. Am J Physiol Gastrointest Liver Physiol 292: G305-G314,2007; doi:10.1152/ajpgi.00100.2006.-Hepatic encephalopathy in patients with liver disease is associated with poor prognosis. This could be due to the induction by the transient episode of hepatic encephalopathy of long-lasting alterations making patients more susceptible. We show that a single transient episode of hyperammonemia induces long-lasting alterations in signal transduction. The content of the regulatory subunit of the protein kinase dependent on cAMP (PKA-RI) is increased in erythrocytes from cirrhotic patients. This increase is…
Measuring the Task Induced Oscillatory Brain Activity Using Tensor Decomposition
2019
The characterization of dynamic electrophysiological brain activity, which form and dissolve in order to support ongoing cognitive function, is one of the most important goals in neuroscience. Here, we introduce a method with tensor decomposition for measuring the task-induced oscillations in the human brain using electroencephalography (EEG). The time frequency representation of source-reconstructed singletrail EEG data constructed a third-order tensor with three factors of time ∗ trails, frequency and source points. We then used a non-negative Canonical Polyadic decomposition (NCPD) to identify the temporal, spectral and spatial changes in electrophysiological brain activity. We validate …
Load-dependent alpha suppression is related to working memory capacity for numbers
2022
Alpha suppression is proposed to reflect a surge in cortical excitability to enhance stimulus processing in working memory. The attenuated state of alpha might reflect the prioritisation of behaviourally relevant information, making it a proxy for working memory functioning. Despite the growing interest in utilising the advancement of brain-based measures to evaluate individuals’ cognitive processes, there was a lack of consistent evidence on the relationship between alpha suppression and working memory performance. To investigate whether interindividual differences in alpha suppression might be related to variability in working memory capacity, we recorded participants’ electroencephalogra…
Cardiac cycle and respiration phase affect responses to the conditioned stimulus in young adults trained in trace eyeblink conditioning
2022
Rhythms of breathing and heartbeat are linked to each other as well as to rhythms of the brain. Our recent studies suggest that presenting the conditioned stimulus during expiration or during the diastolic phase of the cardiac cycle facilitates neural processing of that stimulus and improves learning an eyeblink classical conditioning task. To date, it has not been examined whether utilizing information from both respiration and cardiac cycle phases simultaneously allows even more efficient modulation of learning. Here we studied whether the timing of the conditioned stimulus to different cardiorespiratory rhythm phase combinations affects learning trace eyeblink conditioning in healthy you…
A comparison of different synchronization measures in electroencephalogram during propofol anesthesia
2016
Electroencephalogram (EEG) synchronization is becoming an essential tool to describe neurophysiological mechanisms of communication between brain regions under general anesthesia. Different synchronization measures have their own properties to reflect the changes of EEG activities during different anesthetic states. However, the performance characteristics and the relations of different synchronization measures in evaluating synchronization changes during propofol-induced anesthesia are not fully elucidated. Two-channel EEG data from seven volunteers who had undergone a brief standardized propofol anesthesia were then adopted to calculate eight synchronization indexes. We computed the predi…
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music
2016
During real-world experiences, determining the stimulus-relevant brain activity is excitingly attractive and is very challenging, particularly in electroencephalography. Here, spectrograms of ongoing electroencephalogram (EEG) of one participant constructed a third-order tensor with three factors of time, frequency and space; and the stimulus data consisting of acoustical features derived from the naturalistic and continuous music formulated a matrix with two factors of time and the number of features. Thus, the multilinear partial least squares (PLS) conforming to the canonical polyadic (CP) model was performed on the tensor and the matrix for decomposing the ongoing EEG. Consequently, we …
Determining the number of sources in high-density EEG recordings of event-related potentials by model order selection
2011
To high-density electroencephalography (EEG) recordings, determining the number of sources to separate the signal and the noise subspace is very important. A mostly used criterion is that percentage of variance of raw data explained by the selected principal components composing the signal space should be over 90%. Recently, a model order selection method named as GAP has been proposed. We investigated the two methods by performing independent component analysis (ICA) on the estimated signal subspace, assuming the number of selected principal components composing the signal subspace is equal to the number of sources of brain activities. Through examining wavelet-filtered EEG recordings (128…