Search results for "Ceph"

showing 10 items of 2036 documents

Mediterranean spotted fever: clinical and laboratory characteristics of 415 Sicilian children

2006

Abstract Background Mediterranean spotted fever (MSF) is an acute febrile, zoonotic disease caused by Rickettsia conorii and transmitted to humans by the brown dogtick Rhipicephalus sanguineus. Nearly four hundred cases are reported every year (mainly from June to September) on the Italian island of Sicily. The aim of the study was to analyze the clinical and laboratory characteristics of patients with MSF and the efficacy of the drugs administered. Methods Our study was carried out on 415 children with MSF, during the period January 1997 – December 2004, at the "G. Di Cristina" Children's hospital in Palermo, Sicily, Italy. On admission patients' clinical history, physical and laboratory e…

myalgiamedicine.medical_specialtyAdolescentRhipicephalus sanguineusBoutonneuse FeverAzithromycinlcsh:Infectious and parasitic diseasesInternal medicineClarithromycinmedicineHumanslcsh:RC109-216Childbiologybusiness.industryInfantmedicine.diseasebiology.organism_classificationRashAnti-Bacterial AgentsSpotted fevermediterranean spotted feverBoutonneuse feverInfectious DiseasesChild PreschoolImmunologymedicine.symptombusinessRickettsia conoriiResearch Articlemedicine.drugBMC Infectious Diseases
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Substrāta un organiskā mēslojuma ietekme uz Dracocephalum moldavica augu augšanu un fizioloģisko stāvokli

2019

Darba mērķis bija novērtēt dažādu substrātu un mēslošanas līdzekļu ietekmi uz augu augšanu, attīstību un to fizioloģiskajiem parametriem. Pētījumu veica ar Moldāvijas pūķgalvi, novērtējot substrātu, mēslojuma veidu un to koncentrāciju ietekmi uz augu augšanu un fizioloģiskajiem procesiem tajos. Augus audzēja veģetācijas traukos, kur par substrātu izmantoja kūdru vai melnzemi, kam pievienoja dažādus mēslojumus: mikrobioloģisko mēslojumu “Biomikss”, minerālo mēslojumu “Kristalon”, kā arī 20% vermikompostu un 30% vermikompostu. Secināja, ka vermikomposta pievienošana substrātam būtiski uzlabo augu augšanu un attīstību, to vitalitāti, kā arī šiem variantiem uzrādīja augstāko substrāta sāļu konc…

mēslošanas līdzekļivermikompostsfluorescenceBioloģijaDracocephalum moldavica
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Negative emotional state slows down movement speed : behavioral and neural evidence

2019

Background Athletic performance is affected by emotional state. Athletes may underperform in competition due to poor emotion regulation. Movement speed plays an important role in many competition events. Flexible control of movement speed is critical for effective athletic performance. Although behavioral evidence showed that negative emotion can influence movement speed, the nature of the relationship remains controversial. Thus, the present study investigated how negative emotion affects movement speed and the neural mechanism underlying the interaction between emotion processing and movement control. Methods The present study combined electroencephalography (EEG) technology with a cued-…

negative emotion Theta oscillationpsykologiset tekijätCNVlcsh:MedicinePsychiatry and PsychologyElectroencephalography050105 experimental psychologyGeneral Biochemistry Genetics and Molecular BiologyMovement speedTask (project management)03 medical and health sciences0302 clinical medicinekinesiologiatunteetCognitive resource theorymedicine0501 psychology and cognitive sciencesEEGSet (psychology)biologymedicine.diagnostic_testMovement (music)AthletesGeneral Neuroscience05 social scienceslcsh:RkehonhallintaGeneral MedicineTheta oscillationbiology.organism_classificationKinesiologyP1Action (philosophy)movement speedNegative emotionGeneral Agricultural and Biological SciencesPsychologyNegative emotion030217 neurology & neurosurgeryCognitive psychology
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Transcranial Magnetic Stimulation and Neuroimaging Coregistration

2013

The development of neuroimaging techniques is one of the most impressive advancements in neuroscience. The main reason for the widespread use of these instruments lies in their capacity to provide an accurate description of neural activity during a cognitive process or during rest. This important advancement is related to the possibility to selectively detect changes of neuronal activity in space and time by means of different biological markers. Specifically, functional magnetic resonance imaging (fMRI), positron emission tomography (PET), single-photon emission computed tomography (SPECT), and nearinfrared spectroscopy (NIRS) use metabolic markers of ongoing neuronal activity to provide a…

neuroimagingmedicine.diagnostic_testComputer sciencemedicine.medical_treatmentCognitionElectroencephalographyTranscranial magnetic stimulationNeuroimagingPositron emission tomographymedicinePremovement neuronal activityFunctional magnetic resonance imagingNeuroscienceEmission computed tomographynon presenti
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Unsupervised representation learning of spontaneous MEG data with nonlinear ICA

2023

Funding Information: We wish to thank the reviewers and editors for the useful comments to improve the paper a lot. We thank Dr. Hiroshi Morioka for the useful discussion at the beginning of the project. L.P. was funded in part by the European Research Council (No. 678578 ). A.H. was supported by a Fellowship from CIFAR, and the Academy of Finland. The authors acknowledge the computational resources provided by the Aalto Science-IT project, and also wish to thank the Finnish Grid and Cloud Infrastructure (FGCI) for supporting this project with computational and data storage resources. | openaire: EC/H2020/678578/EU//HRMEG Resting-state magnetoencephalography (MEG) data show complex but stru…

neuropalautenon-stationarityMEGsignaalinkäsittelyCognitive Neurosciencesyväoppiminensignaalianalyysineurofeedbackunsupervised learningdeep generative modelkoneoppiminenNeurologyresting-state networkmagnetoencephalography (MEG)nonlinear independent component analysis (ICA)NeuroImage
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Description and phylogenetic relationships of a new species of treefrog of theOsteocephalus buckleyispecies group (Anura: Hylidae)

2020

The Osteocephalus buckleyi species group is widely distributed in primary and secondary forests of the Amazon Basin and Guiana Region. Based on integrative analysis, including morphological and genetic data, we estimate the phylogenetic relationships and species boundaries among populations of the Osteocephalus buckleyi group from the Ecuadorian Amazon, focusing on the O. verruciger-O. cannatellai species complex. Our results uncovered the existence of one confirmed candidate species from Sangay National Park and one unconfirmed candidate species. Here, we describe the new species which is morphologically and ecologically distinct from other Osteocephalus species. The new species is unusual…

new species0106 biological sciencesecuadorGlobal and Planetary ChangeOsteocephalusEcologyPhylogenetic treeosteocephalus010607 zoologyBiodiversityGeneral. Including nature conservation geographical distributionZoologyQH1-199.5Biologymolecular toolsbiology.organism_classification010603 evolutionary biology01 natural sciencesHylidaeSpecies groupQH540-549.5Ecology Evolution Behavior and SystematicsbiodiversityAmazon basinNeotropical Biodiversity
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Electroencephalography as a Non-Invasive Biomarker of Alzheimer’s Disease: A Forgotten Candidate to Substitute CSF Molecules?

2021

Biomarkers for disease diagnosis and prognosis are crucial in clinical practice. They should be objective and quantifiable and respond to specific therapeutic interventions. Optimal biomarkers should reflect the underlying process (pathological or not), be reproducible, widely available, and allow measurements repeatedly over time. Ideally, biomarkers should also be non-invasive and cost-effective. This review aims to focus on the usefulness and limitations of electroencephalography (EEG) in the search for Alzheimer’s disease (AD) biomarkers. The main aim of this article is to review the evolution of the most used biomarkers in AD and the need for new peripheral and, ideally, non-invasive b…

non-invasive biomarkerscerebral rhythmsQH301-705.5ReviewDiseaseElectroencephalographyBioinformaticsCatalysisInorganic ChemistryAlzheimer DiseaseAlzheimer’s disease diagnosismedicineAnimalsHumansEEGBiology (General)Physical and Theoretical ChemistryQD1-999Molecular BiologySpectroscopyCerebrospinal Fluidmedicine.diagnostic_testbusiness.industryOrganic ChemistryNon invasive biomarkerssynchronyElectroencephalographyGeneral MedicineComputer Science ApplicationsClinical PracticeChemistrycomplexitybusinessBiomarkersalpha waveInternational Journal of Molecular Sciences
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Parietal Cortex Connectivity as a Marker of Shift in Spatial Attention Following Continuous Theta Burst Stimulation

2021

Non-invasive brain stimulation is a useful tool to probe brain function and provide therapeutic treatments in disease. When applied to the right posterior parietal cortex (PPC) of healthy participants, it is possible to temporarily shift spatial attention and mimic symptoms of spatial neglect. However, the field of brain stimulation is plagued by issues of high response variability. The aim of this study was to investigate baseline functional connectivity as a predictor of response to an inhibitory brain stimulation paradigm applied to the right PPC. In fourteen healthy adults (9 female, aged 24.8 ± 4.0 years) we applied continuous theta burst stimulation (cTBS) to suppress activity in the …

non-invasive brain stimulationneuroplasticityCTBSPosterior parietal cortexNeurosciences. Biological psychiatry. NeuropsychiatryStimulationElectroencephalographyInhibitory postsynaptic potentialBehavioral Neurosciencespatial attentionNeuroplasticitymedicineBiological PsychiatryOriginal ResearchResting state fMRImedicine.diagnostic_testbusiness.industryfunctional connectivityPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyBrain stimulationbusinessNeuroscienceelectroencephalographyRC321-571NeuroscienceFrontiers in Human Neuroscience
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Seizure Prediction Using EEG Channel Selection Method

2022

Seizure prediction using intracranial electroencephalogram (iEEG) is still challenging because of complicated signals in spatial and time domains. Feature selection in the spatial domain (i.e., channel selection) has been largely ignored in this field. Hence, in this paper, a novel approach of iEEG channel selection strategy combined with one-dimensional convolutional neural networks (1D-CNN) was presented for seizure prediction. First, 15-sec and 30-sec iEEG segments with an increasing number of channels (from one channel to all channels) were sequentially fed into 1D-CNN models for training and testing. Then, the channel case with the best classification rate was selected for each partici…

one-dimensional convolutional neural networks (1D-CNN)channel selectionintracranial electroencephalogram (iEEG)koneoppiminensignaalinkäsittelyseizure predictionsairauskohtauksetepilepsysignaalianalyysineuroverkotEEGepilepsia
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Diseño y puesta a punto de un método cefalométrico en 3D para el estudio de la población ortodóncica

2011

Introducción: La introducción de la tomografía computarizada de haz cónico (CBCT) y su aplicación clínica a la imagen craneofacial tridimensional (3D) supone una herramienta diagnóstica esencial para el clínico. Objetivos: 1-Evaluar la reproducibilidad en la localización de puntos cefalométricos pertenecientes a tejidos duros del cráneo sobre imágenes escaneadas con un equipo CBCT 2-Comprobar si los valores de diferentes mediciones de las reconstrucciones 3D del CBCT se pueden comparar a las mediciones realizadas sobre imágenes 2D de la telerradiografía lateral de cráneo y comparar también si existen diferencias entre dos tipos diferentes de software de CBCT. 3-Diseñar un método cefalométri…

ortodonciareliabilityCBCT; cefalometría 3D; ortodonciatomografía computarizada de haz cónico3D cephalometryCBCTFacultat de Medicina i Odontologia616.3plano de referencia:CIENCIAS MÉDICAS [UNESCO]cefalometría 3DCone Beam Computed TomographyreproducibilidadlandmarkUNESCO::CIENCIAS MÉDICASorthodonticsanálisis cefalométrico 3D
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