Filters
total: 4191
filtered: 2751
-
Catalog
Chosen catalog filters
displaying 1000 best results Help
Search results for: BRAIN%20ACTIVITY
-
Physical Activity vs. Redox Balance in the Brain: Brain Health, Aging and Diseases
Publication -
Intellectual brain drain and economic growth in developing countries: A theoretical solution of strategic compensation
PublicationBrain drain is a real problem for the developing countries like Pakistan. It not only impacts theworkforce, but its effect eventually translates to economic growth as well. The most severe form of braindrain is intellectual as top tier skilled employees’ move out of the country. This study explores the issue ofintellectual brain drain in Pakistan moreover analyzes its severity to the economic growth. Finally,...
-
Pathological brain network activity: memory impairment in epilepsy
PublicationOur thinking, memory and cognition in general, relies upon precisely timed interactions among neurons forming brain networks that support cognitive processes. The surgical evaluation of drug-resistant epilepsy using intracranial electrodes provides a unique opportunity to record directly from human brain and to investigate the coordinated activity of cognitive networks. In this issue of Neurology®, Kleen and colleagues1 implicate...
-
Automatic Clustering of EEG-Based Data Associated with Brain Activity
PublicationThe aim of this paper is to present a system for automatic assigning electroencephalographic (EEG) signals to appropriate classes associated with brain activity. The EEG signals are acquired from a headset consisting of 14 electrodes placed on skull. Data gathered are first processed by the Independent Component Analysis algorithm to obtain estimates of signals generated by primary sources reflecting the activity of the brain....
-
Method for Clustering of Brain Activity Data Derived from EEG Signals
PublicationA method for assessing separability of EEG signals associated with three classes of brain activity is proposed. The EEG signals are acquired from 23 subjects, gathered from a headset consisting of 14 electrodes. Data are processed by applying Discrete Wavelet Transform (DWT) for the signal analysis and an autoencoder neural network for the brain activity separation. Processing involves 74 wavelets from 3 DWT families: Coiflets,...
-
The Brain of the city
PublicationIn order to highlight the characteristics of the West End of Wrocław, we conducted a site analysis. Using the strengths of the site, we were able to create a unique concept of the district while minimizing the impacts of weaknesses by design. The purpose of redesigning the West End of Wrocław is to attract new people to the district through the transformation of an identity. Initially, we conducted a SWOT analysis to identify the...
-
Blood–brain barrier permeability mechanisms in view of quantitative structure–activity relationships (QSAR)
Publication -
Daytime Acute Non-Visual Alerting Response in Brain Activity Occurs as a Result of Short- and Long-Wavelengths of Light
PublicationVery recent preliminary findings concerning the alerting capacities of light stimulus with long-wavelengths suggest the existence of neural pathways other than melatonin suppression that trigger the nonvisual response. Though the nonvisual effects of light during the daytime have not been investigated thoroughly, they are definitely worth investigating. The purpose of the present study is to enrich existing evidence by describing...
-
Hypertension, Brain Damage and Cognitive Decline
Publication -
Systemic approach to modelling the human brain
PublicationW prezentacji przedstawia się ogólną koncepcję w pełni autonomicznego systemu decyzyjnego dla robota (awatara, linguabota), zdolnego reagować na bodźce ze środowiska oraz opartego na opracowanym matematycznym modelu psychologii poznawczej człowieka, z elementami psychologii osobowości., uwzględniającymi 'potrzeby', 'emocje', 'nastrój' oraz elementy 'woli'.
-
Validity of MRI brain perfusion imaging method
PublicationW artykule zaprezentowano zbiór analiz dotyczących walidacji metody DSC-MRI. Zbadano wpływ rozmycia, opóźnienia, niskiego SNR bolusa oraz innych możliwych źródeł zakłócających wartość parametru perfuzji. Różne metody uzyskiwania parametrów perfuzji zostały zaprezentowane i porównane.
-
Validity of MRI brain perfusion imaging method
PublicationW artykule zaprezentowano zbiór analiz dotyczących walidacji metody DSC-MRI. Zbadano wpływ rozmycia, opóźnienia, niskiego SNR bolusa oraz innych możliwych źródeł zakłócających wartość parametru perfuzji. Różne metody uzyskiwania parametrów perfuzji zostały zaprezentowane i porównane.
-
Limitations of DSC-MRI for quantitative brain perfusion.
PublicationArtykuł przedstawia ograniczenia metody DSC-MRI w ilościowej ocenie przepływów mózgowych. W zakresie pięciu różnych grup zagadnień przeprowadzono testy symulacyjne oraz obliczenia na podstawie badań fantomowych i in-vivo. Pokazano i omówiono wyniki badań.
-
Chemical reactivity and antimicrobial activity of N-substituted maleimides
PublicationZsyntezowano kilkanaście N-podstawionych maleimidów, zawierających w swojej strukturze podstawniki o różnej wielkości i polarności.Maleimidy o charakterze obojętnym wykazywały silny efekt przeciwgrzybowy; ich aktywność przeciwbakteryjna była zróżnicowana. Niską aktywność przeciwbakteryjną, ale wysoką aktywność cytostatyczną stwierdzono dla maleimidów o charakterze zasadowym. Reaktywność chemiczna i lipofilowość miały wpływ na aktywność...
-
Morphine and methadone pre-exposures differently modify brain regional Fos protein expression and locomotor activity responses to morphine challenge in the rat
Publication -
The association between allostatic load and brain: A systematic review
Publication -
Image Segmentation of MRI image for Brain Tumor Detection
Publicationthis research work presents a new technique for brain tumor detection by the combination of Watershed algorithm with Fuzzy K-means and Fuzzy C-means (KIFCM) clustering. The MATLAB based proposed simulation model is used to improve the computational simplicity, noise sensitivities, and accuracy rate of segmentation, detection and extraction from MR...
-
Parametric imaging in dynamic glucose metabolism studies in brain
PublicationArtykuł analizuje badania dynamiczne 18FDG-PET, które służą do estymacji metabolizmu glukozy w mózgu. Zbadano w nim wpływ zakłóceń na wyznaczanie interesującego nas parametru LCMRGlc.
-
Train the trainer course
PublicationThis chapter presents the concept, evaluation and evaluation results for the train the trainer. This concept of train the trainers is prepared within Workpackage 5 of EU-funded project: MASTER BSR (Erasmus+ Strategic Partnership Programme). Due to the nature of adult learning the content is designed for the use of participatory methods (involved, active). This method uses various techniques of active learning e.g. group work,...
-
Profile of phenolic compounds and antioxidant activity of organically and conventionally grown black-grain barley genotypes treated with biostimulant
Publication -
The Unfolded Protein Response: A Double-Edged Sword for Brain Health
PublicationEfficient brain function requires as much as 20% of the total oxygen intake to support normal neuronal cell function. This level of oxygen usage, however, leads to the generation of free radicals, and thus can lead to oxidative stress and potentially to age-related cognitive decay and even neurodegenerative diseases. The regulation of this system requires a complex monitoring network to maintain proper oxygen homeostasis. Furthermore,...
-
Global DNA demethylation as an epigenetic marker of human brain metastases
Publication -
Deep brain stimulation: new possibilities for the treatment of mental disorders
Publication -
STEADY STATE VISUALLY EVOKED POTENTIALS FOR BRAIN COMPUTER INTERFACE
PublicationAn experiment conducted to validate a possibility of use a single active electrode EEG device for detecting Steady State Visually Evoked Potentials (SSVEP) is shown. A LED stimulator was applied to stimulate patients with two different frequencies - 13 Hz and 17 Hz. First, EEG signals were recorded and pre-processed using MATLAB software. In the next step recordings were analysed and classified employing the WEKA software. As indicated...
-
Behavioral state classification in epileptic brain using intracranial electrophysiology
PublicationOBJECTIVE: Automated behavioral state classification can benefit next generation implantable epilepsy devices. In this study we explored the feasibility of automated awake (AW) and slow wave sleep (SWS) classification using wide bandwidth intracranial EEG (iEEG) in patients undergoing evaluation for epilepsy surgery. APPROACH: Data from seven patients (age [Formula: see text], 4 women) who underwent intracranial depth electrode...
-
Comparison of mouse plasma and brain tissue homogenate sample pretreatment methods prior to high-performance liquid chromatography for a new 1,2,4-triazole derivative with anticonvulsant activity
Publication -
Optimization of Energetic Train Cooperation
PublicationIn the article, possible ways of using energy recovered during regenerative braking of trains are presented. It is pointed out that the return of recovered electricity directly to the catenary and its use in the energy cooperation of vehicles can be a no-cost method (without additional infrastructure). The method of energy cooperation between trains and its main assumptions, that uses the law of conservation of energy, are described...
-
Sweet grass protection against oxidative stress formation in the rat brain
Publication -
Mixture model of NMR - its application to diagnosis and treatment of brain cancer
Publication -
Brain/blood distribution described by a combination of partition coefficient and molecular mass
Publication -
Diagnosis of Brain Tumors Through Global Specific DNA Methylation Analysis
Publication -
Molecular Diagnostics of Brain Tumours by Measuring the 5-Methylcytosine Level in Their DNA
Publication -
Deep learning approach on surface EEG based Brain Computer Interface
PublicationIn this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...
-
Direct brain stimulation modulates encoding states and memory performance in humans
PublicationPeople often forget information because they fail to effectively encode it. Here, we test the hypothesis that targeted electrical stimulation can modulate neural encoding states and subsequent memory outcomes. Using recordings from neurosurgical epilepsy patients with intracranially implanted electrodes, we trained multivariate classifiers to discriminate spectral activity during learning that predicted remembering from forgetting,...
-
Brain-Inspired Deep Networks for Facial Expression Recognition. Frontiers in Biomedical Technologies
Publication -
Validation of the Elderly Traumatic Brain Injury Score: Observational Case Control Study
Publication -
Comparison of Three Extraction Approaches for the Isolation of Neurotransmitters from Rat Brain Samples
Publication -
Unraveling the Protective Effects of Cognitive Reserve on Cognition and Brain: A Cross-Sectional Study
Publication -
Deep brain stimulation in obsessive-compulsive disorder – case report of two patients
Publication -
Modeling of subarachnoid space width change caused by blood circulation in brain vessels
PublicationThe subarachnoid space is an anatomic space, lying in the central nervous system, between the arachnoid membrane and the pia mater. It is filled with cerebrospinal fluid, which protects and nourishes the brain. The pathological disorder of the subarachnoid space (i.e. increase or decrease of its width) a ects the nervous system. Therefore, it is important to diagnose the width changes of the subarachnoid space. One way to support...
-
Mortality After Traumatic Brain Injury in Elderly Patients: A New Scoring System
Publication -
Myeloid-derived suppressor cells (MDSCs) in brain cancer: challenges and therapeutic strategies
Publication -
Direct electrical brain stimulation of human memory: lessons learnt and future perspectives
PublicationModulation of cognitive functions supporting human declarative memory is one of the grand challenges of neuroscience, and of vast importance for a variety of neuropsychiatric, neurodegenerative and neurodevelopmental diseases. Despite a recent surge of successful attempts at improving performance in a range of memory tasks, the optimal approaches and parameters for memory enhancement have yet to be determined. On a more fundamental...
-
Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry
PublicationData comprise intracranial EEG (iEEG) brain activity represented by stereo EEG (sEEG) signals, recorded from over 100 electrode channels implanted in any one patient across various brain regions. The iEEG signals were recorded in epilepsy patients (N=10) undergoing invasive monitoring and localization of seizures when they were performing a battery of four memory tasks lasting approx. 1 hour in total. Gaze tracking on the task...
-
Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine Learning
PublicationThe aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods in the context of the effectiveness of the classification of brain activities. For classification, electroencephalographic signals were obtained using an EEG device from 17 subjects in three mental states (relaxation, excitation, and solving logical task). Blind source separation employing independent component analysis (ICA) was...
-
Brain perfusion imaging with the use of parametric modelling basing on DSC-MRI data
PublicationW pracy do estymacji parametrów perfuzji mózgu: przepływu krwi mózgowej (cerebral blood flow, CBF), objętości krwi mózgowej (cerebral blood volume, CBV) oraz średniego czasu przejścia (mean transit time, MTT) wykorzystano pomiary DSC-MRI (Dynamic Susceptibility Contrast Magnetic Resonance Imaging). W modelowaniu danych MRI zastoswoano model trzykompartmentowy. Przedstawiono i porównano dwa podejścia do identyfikacji modelu różniące...
-
Rain Water: Atmospheric Deposition
PublicationWater is transferred from the atmosphere to the land surface mainly via various forms of atmospheric precipitation; however, the contribution of surface condensation/deposition (e.g., dew, hoar frost, occult precipitation) should not be neglected. Rainwater and liquid deposits (dew, hoar frost, rime) are components of the physical and geographical environment that are easily assimilated and transported. Thus, they are generally...
-
Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation
PublicationMachine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...
-
Brain Fog and Quality of Life at Work in Non-Hospitalized Patients after COVID-19
Publication -
Optimized procedure of extraction, purification and proteomic analysis of nuclear proteins from mouse brain
Publication