Search results for "Gray"

showing 10 items of 168 documents

Distribution of basal-expressed c-fos-like immunoreactive cells of the periaqueductal grey matter of the rat.

1996

The distribution of c-fos proto-oncogene expression has been studied in the periaqueductal grey matter (PAG) of non-intentional-stimulated rats by immunohistochemistry. A mean number of 53 +/- 9 Fos-like immunoreactive cells per hemiPAG, distributed into three groups, dorsolateral, lateral and ventrolateral, was found. The dorsolateral and the lateral groups appeared along the entire rostrocaudal PAG, whereas the ventrolateral group appeared only in the caudal half. These results reveal new data on the number and extent of the longitudinal columns within the hypothetical organization of the PAG. They also indicate a continuous activation of a significant population of neurones in the PAG, i…

Malemedicine.medical_specialtyPopulationCentral nervous systemPeriaqueductal greyDorsolateralc-FosBasal (phylogenetics)Internal medicinemedicineDistribution (pharmacology)AnimalsPeriaqueductal GrayRats Wistareducationeducation.field_of_studybiologyChemistryGeneral NeuroscienceAnatomyImmunohistochemistryRatsEndocrinologymedicine.anatomical_structurenervous systembiology.proteinImmunohistochemistryFemaleProto-Oncogene Proteins c-fosNeuroreport
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Linking Microstructural Integrity and Motor Cortex Excitability in Multiple Sclerosis

2021

Motor skills are frequently impaired in multiple sclerosis (MS) patients following grey and white matter damage with cortical excitability abnormalities. We applied advanced diffusion imaging with 3T magnetic resonance tomography for neurite orientation dispersion and density imaging (NODDI), as well as diffusion tensor imaging (DTI) in 50 MS patients and 49 age-matched healthy controls to quantify microstructural integrity of the motor system. To assess excitability, we determined resting motor thresholds using non-invasive transcranial magnetic stimulation. As measures of cognitive-motor performance, we conducted neuropsychological assessments including the Nine-Hole Peg Test, Trail Makin…

Malemedicine.medical_treatmentNeuropsychological Testsmultiple sclerosisDisability EvaluationImmunology and AllergyGray MatterMotor skillOriginal ResearchNODDIMotor CortexMiddle AgedTranscranial Magnetic StimulationWhite Mattermedicine.anatomical_structureDiffusion Tensor Imagingtract-based spatial statisticsCardiologyFemalePrimary motor cortexneurite orientation dispersion and density imagingMotor cortexAdultmedicine.medical_specialtymotor thresholdModels NeurologicalImmunologyNeuroimagingGrey matterWhite matterMultiple Sclerosis Relapsing-RemittingInternal medicineMotor systemFractional anisotropyexcitabilitymedicineNeuritesHumansbusiness.industryElectromyographyMultiple sclerosisRC581-607medicine.diseaseEvoked Potentials MotorTranscranial magnetic stimulationImmunologic diseases. AllergybusinessNeurosciencePsychomotor PerformanceDiffusion MRIFrontiers in Immunology
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A stochastic shape and orientation model for fibres with an application to carbon nanotubes

2012

Methods are introduced for analysing the shape and orientation of planar fibres from greyscale images of fibrous systems. The sequence of image processing techniques needed for segmentation of fibres is described. The identified fibres were interpreted as deformed line segments for which two shape and two orientation parameters are estimated by the maximum likelihood method. The methods introduced are shown to perform quite well for simulated systems of deformed line segments with known properties. They were applied to TEM images of carbon nanotubes embedded in polycarbonate.

Materials scienceAcoustics and UltrasonicsMaterials Science (miscellaneous)General MathematicsCarbon nanotubesImage processingCarbon nanotube2D fibre identificationBinarizationGrayscaleDeformed line segmentslaw.inventionPlanarLine segmentlawRadiology Nuclear Medicine and imagingSegmentationPolycarbonateComposite materialInstrumentationlcsh:R5-920Orientation (computer vision)lcsh:MathematicsMultivariate von Mises distributionlcsh:QA1-939Computer Science::Computer Vision and Pattern Recognitionvisual_artSignal Processingvisual_art.visual_art_mediumComputer Vision and Pattern Recognitionlcsh:Medicine (General)BiotechnologyImage Analysis and Stereology
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Combinatorial Gray codes for classes of pattern avoiding permutations

2007

The past decade has seen a flurry of research into pattern avoiding permutations but little of it is concerned with their exhaustive generation. Many applications call for exhaustive generation of permutations subject to various constraints or imposing a particular generating order. In this paper we present generating algorithms and combinatorial Gray codes for several families of pattern avoiding permutations. Among the families under consideration are those counted by Catalan, Schr\"oder, Pell, even index Fibonacci numbers and the central binomial coefficients. Consequently, this provides Gray codes for $\s_n(\tau)$ for all $\tau\in \s_3$ and the obtained Gray codes have distances 4 and 5.

Mathematics::CombinatoricsFibonacci numberPattern avoiding permutationsGeneral Computer ScienceOrder (ring theory)Generating algorithms94B25Gray codesCombinatorial algorithms05A05; 94B25; 05A15Theoretical Computer ScienceCombinatoricsSet (abstract data type)Constraint (information theory)Gray codePermutation05A05ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATIONFOS: MathematicsMathematics - CombinatoricsCombinatorics (math.CO)05A15Binomial coefficientComputer Science(all)MathematicsTheoretical Computer Science
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Listeria species in raw and ready-to-eat foods from restaurants.

2001

From September 1999 to March 2000, meat (pork, beef, and chicken), fish (salmon, hake, and sole), vegetable (lettuce and spinach), and Spanish potato omelette samples obtained at restaurants were collected and tested for the occurrence of Listeria spp. Listeria monocytogenes was isolated from 3 (2.9%) out of 103 studied samples. Other species isolated were Listeria grayi (13.6%), Listeria innocua (1.9%), Listeria ivanovii (5.8%), Listeria seeligeri (3.9%), and Listeria welshimeri (1.9%). Listeria was neither isolated from beef nor any type of fish.

MeatRestaurantsListeriaEggsFishesfood and beveragesBiologymedicine.disease_causebiology.organism_classificationMicrobiologyListeria welshimeriListeria monocytogenesHakeSpainVegetablesmedicineListeriaFood MicrobiologyFood microbiologyAnimalsListeria seeligeriListeria grayiFood scienceListeria ivanoviiFood ScienceJournal of food protection
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The Effect of Smoking on Long-term Gray Matter Atrophy and Clinical Disability in Patients with Relapsing-Remitting Multiple Sclerosis

2022

Background and ObjectivesThe relationship between smoking, long-term brain atrophy, and clinical disability in patients with multiple sclerosis (MS) is unclear. Here, we assessed long-term effects of smoking by evaluating MRI and clinical outcome measures after 10 years in smoking and nonsmoking patients with relapsing-remitting MS (RRMS).MethodsWe included 85 treatment-naive patients with RRMS with recent inflammatory disease activity who participated in a 10-year follow-up visit after a multicenter clinical trial of 24 months. Smoking status was decided for each patient by 2 separate definitions: by serum cotinine levels measured regularly for the first 2 years of the follow-up (during th…

Multiple SclerosisMultiple Sclerosis Relapsing-RemittingNeurologySmokingHumansNeurology (clinical)AtrophyGray MatterCotinineVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Nevrologi: 752Retrospective Studies
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Extraction and fusion of spectral parameters for face recognition

2011

This is the copy of journal's version originally published in Proc. SPIE 7877: http://spie.org/x10.xml?WT.svl=tn7. Reprinted with permission of SPIE. Many methods have been developed in image processing for face recognition, especially in recent years with the increase of biometric technologies. However, most of these techniques are used on grayscale images acquired in the visible range of the electromagnetic spectrum. The aims of our study are to improve existing tools and to develop new methods for face recognition. The techniques used take advantage of the different spectral ranges, the visible, optical infrared and thermal infrared, by either combining them or analyzing them separately …

Near Infrared[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image ProcessingBiometrics[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingInfraredComputer scienceElectromagnetic spectrumFeature extractionImage processing02 engineering and technologyShort Wave Infrared[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingGrayscaleFacial recognition system[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringFeature descriptorComputer visionFace recognition[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingbusiness.industryNear-infrared spectroscopyVisibleFeature extraction020201 artificial intelligence & image processingArtificial intelligencefeature descriptorbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing:Mathematics and natural science: 400::Information and communication science: 420::Simulation visualization signal processing image processing: 429 [VDP]
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Nucleus incertus—An emerging modulatory role in arousal, stress and memory

2011

A major challenge in systems neuroscience is to determine the underlying neural circuitry and associated neurotransmitters and receptors involved in psychiatric disorders, such as anxiety and depression. A focus of many of these studies has been specific brainstem nuclei that modulate levels of arousal via their ascending monoaminergic projections (e.g. the serotonergic dorsal raphe, noradrenergic locus ceruleus and cholinergic laterodorsal tegmental nucleus). After years of relative neglect, the subject of recent studies in this context has been the GABAergic nucleus incertus,1 which is located in the midline periventricular central gray in the ‘prepontine’ hindbrain, with broad projection…

NeuronsSystems neuroscienceCognitive NeuroscienceNeuropeptideNucleus IncertusRatsMiceBehavioral NeuroscienceNeuropsychology and Physiological PsychologyLaterodorsal tegmental nucleusmedicine.anatomical_structureDorsal raphe nucleusMemorymedicineAnimalsPeriaqueductal GrayWakefulnessArousalMedial forebrain bundlePsychologyRelaxin-3Neurosciencegamma-Aminobutyric AcidNeuroscience & Biobehavioral Reviews
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Testing the effects of pre-processing on voxel based morphometry analysis

2015

Voxel based morphometry (VBM) is an automated analysis technique which allows voxel-wise comparison of mainly grey-matter volumes between two magnetic resonance images (MRI). Two main analysis processes in VBM are possible. One is cross-sectional data analysis, where one group is compared with another to depict see the regions in the brain, which show changes in their grey-matter volume. Second is longitudinal data analysis, where MRIs, taken at different time points, are compared to see the regions in the brain that show changes in their grey matter volume for one time point with respect to another time point. Both types of analyses require pre-processing steps before performing the statis…

Normalization (statistics)medicine.diagnostic_testbusiness.industryPattern recognitionMagnetic resonance imagingVoxel-based morphometryGrey matterMagnetic Resonance ImagingCross-Sectional Studiesmedicine.anatomical_structureImage Processing Computer-AssistedmedicineHumansPreprocessorComputer visionArtificial intelligenceGray MatterTime pointPsychologybusinessSmoothingVolume (compression)2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Optimal control design of preparation pulses for contrast optimization in MRI

2017

Abstract This work investigates the use of MRI radio-frequency (RF) pulses designed within the framework of optimal control theory for image contrast optimization. The magnetization evolution is modeled with Bloch equations, which defines a dynamic system that can be controlled via the application of the Pontryagin Maximum Principle (PMP). This framework allows the computation of optimal RF pulses that bring the magnetization to a given state to obtain the desired contrast after acquisition. Creating contrast through the optimal manipulation of Bloch equations is a new way of handling contrast in MRI, which can explore the theoretical limits of the system. Simulation experiments carried out…

Nuclear and High Energy PhysicsComputer science[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/ImagingComputationRF pulsesBiophysics010402 general chemistry01 natural sciencesBiochemistry030218 nuclear medicine & medical imaging03 medical and health sciencesMagnetizationMice0302 clinical medicineOpticsRobustness (computer science)Image Interpretation Computer-AssistedImage Processing Computer-AssistedAnimalsComputer SimulationGray MatterMuscle Skeletal[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imagingbusiness.industryPhantoms ImagingContrast (statistics)BrainReproducibility of ResultsContrastCondensed Matter PhysicsOptimal controlImage EnhancementBloch equationsMagnetic Resonance ImagingWhite Matter0104 chemical sciencesWeightingRatsOptimal control[SPI.ELEC]Engineering Sciences [physics]/ElectromagnetismOptimal control designBloch equations[ SPI.ELEC ] Engineering Sciences [physics]/ElectromagnetismFemalebusinessAlgorithmAlgorithms
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