Search results for "electroretinogram"

showing 10 items of 12 documents

Decreasing dietary linoleic acid promotes long chain omega-3 fatty acid incorporation into rat retina and modifies gene expression

2011

International audience; Age-related macular degeneration (AMD) may be partially prevented by dietary habits privileging the consumption of ω3 long chain polyunsaturated fatty acids (ω3s) while lowering linoleic acid (LA) intake. The present study aimed to document whether following these epidemiological guidelines would enrich the neurosensory retina and RPE with ω3s and modulate gene expression in the neurosensory retina. Rat progenitors and pups were fed with diets containing low or high LA, and low or high ω3s. After scotopic single flash and 8-Hz-Flicker electroretinography, rat pups were euthanized at adulthood. The fatty acid profile of the neurosensory retina, RPE, liver, adipose tis…

CD36 AntigensMaleMESH : RNA MessengerMESH: 5-Lipoxygenase-Activating ProteinsMESH : Receptors LDLMESH: Electroretinography0302 clinical medicineMESH: Fatty Acids Omega-3MESH: AnimalsMESH : Retinal Ganglion Cellschemistry.chemical_classification0303 health sciencesMESH : Gene Expression RegulationMESH : ElectroretinographyMESH: RetinaMESH: Chromatography GasMESH: Dietary Fats Unsaturateddocosahexaenoic acidpolyunsaturated fatty acidSensory Systems3. Good healthnutritionMESH: Photic StimulationAdipose TissueMESH: Adipose Tissuemedicine.medical_specialtyChromatography Gasmacular degenerationLinoleic acidMESH : Arachidonate 12-LipoxygenaseArachidonate 12-LipoxygenaseMESH : Adipose TissueMESH: Arachidonate 12-Lipoxygenasepufa03 medical and health sciencesMESH : Dietary Fats UnsaturatedlipidElectroretinographyRats Long-EvansRNA MessengerMESH: Linoleic AcidMESH: Antigens CD36MESH : RetinaFatty acidMESH: Retinal Ganglion Cellseye diseasesOphthalmologyEndocrinologychemistryMESH: Receptors LDL030221 ophthalmology & optometryATP-Binding Cassette Transportersn 3MESH: FemalePhotic StimulationMESH: LiverRetinal Ganglion CellsretinaMESH : 5-Lipoxygenase-Activating Proteinsgenetic structures[ SDV.AEN ] Life Sciences [q-bio]/Food and Nutritionretinal pigment epitheliumelectroretinogramMESH : Photic StimulationAdipose tissueangiogenesischemistry.chemical_compoundMESH : FemaleMESH : Rats Long-Evans2. Zero hungermedicine.diagnostic_testMESH : RatsMESH: Real-Time Polymerase Chain ReactionMESH: Gene Expression RegulationMESH : Antigens CD36medicine.anatomical_structureLiverALOX12BiochemistryMESH: ATP-Binding Cassette TransportersFemaleATP Binding Cassette Transporter 1Polyunsaturated fatty acidMESH : Fatty Acids Omega-3MESH: RatsbrainMESH : Male5-Lipoxygenase-Activating ProteinsMESH : Real-Time Polymerase Chain Reactionrhesus monkeyBiologyReal-Time Polymerase Chain ReactionMESH : Chromatography GasLinoleic AcidCellular and Molecular NeuroscienceDietary Fats UnsaturatedMESH : Linoleic AcidMESH: Rats Long-EvansInternal medicineFatty Acids Omega-3medicineAnimalsMESH : ATP-Binding Cassette TransportersOmega 3 fatty acidMESH: RNA Messenger030304 developmental biologydeficient dietRetinal pigment epitheliumMESH : LiverMESH: MaleRatsGene Expression RegulationReceptors LDLgene expressionMESH : Animalssense organs[SDV.AEN]Life Sciences [q-bio]/Food and NutritionElectroretinographyExperimental Eye Research
researchProduct

Empirical mode decomposition and neural network for the classification of electroretinographic data

2013

The processing of biosignals is increasingly being utilized in ambulatory situations in order to extract significant signals' features that can help in clinical diagnosis. However, this task is hampered by the fact that biomedical signals exhibit a complex behaviour characterized by strong non-linear and non-stationary properties that cannot always be perceived by simple visual examination. New processing methods need be considered. In this context, we propose to apply a signal processing method, based on empirical mode decomposition and artificial neural networks, to analyse electroretinograms, i.e. the retinal response to a light flash, with the aim to detect and classify retinal diseases…

EngineeringAchromatopsiaBiomedical EngineeringContext (language use)Settore FIS/03 - Fisica Della MateriaHilbert–Huang transformRetinal DiseasesNight BlindnessElectroretinographyMyopiamedicineHumansComputer visionCongenital stationary night blindnessSignal processingArtificial neural networkbusiness.industryVisual examinationEye Diseases HereditaryGenetic Diseases X-LinkedSignal Processing Computer-AssistedPattern recognitionmedicine.diseaseSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Computer Science Applicationselectroretinogram empirical mode decomposition artificial neural network Achromatopsia Congenital Stationary Night BlindnessClinical diagnosisNeural Networks ComputerArtificial intelligencebusinessMedical & Biological Engineering & Computing
researchProduct

Electroretinographic oscillatory potentials in insulin-dependent diabetes patients: A long-term follow-up.

2002

Purpose: The aim of this research was to study the relevance of long-term follow-up of electroretinographic oscillatory potentials (OPs) in predicting the onset of minimal non-proliferative diabetic retinopathy in insulin-dependent diabetes patients. Methods: A total of 80 insulin-dependent diabetics, with normal fundi and normal OPs at first examination, were followed prospectively for 10 years. Oscillatory potentials were measured and fundus examinations performed once or twice per year. Results: During follow-up, 35% of patients developed diabetic retinopathy after a mean disease duration of 12 ± 2 years. A decrease in OP amplitudes was seen in 46% of this group, but reductions were also…

Survival curvesAdultMaleDiabetic RetinopathyAdolescentSettore MED/30 - Malattie Apparato VisivoElectroretinogramRetinaOscillatory potentialsDiabetes Mellitus Type 1OscillometryElectroretinographyHumansFemaleProspective StudiesChildLong-term follow-upFollow-Up StudiesActa ophthalmologica Scandinavica
researchProduct

Rev-Erb modulates retinal visual processing and behavioral responses to light

2016

International audience; The circadian clock is thought to adjust retinal sensitivity to ambient light levels, yet the involvement of specific clock genes is poorly understood. We explored the potential role of the nuclear receptor subfamily 1, group D, member 1 (REV-ERB; or NR1D1) in this respect. In light-evoked behavioral tests, compared with wild-type littermates, Rev-Erb(-/-) mice showed enhanced negative masking at low light levels (0.1 lx). Rev-Erb(-/-) mouse retinas displayed significantly higher numbers of intrinsically photosensitive retinal ganglion cells (ipRGCs; 62% more compared with wild-type) and more intense melanopsin immunostaining of individual ipRGCs. In agreement with a…

0301 basic medicineRetinal Ganglion CellsLight[SDV]Life Sciences [q-bio]Circadian clockelectroretinogramBiochemistrychemistry.chemical_compound0302 clinical medicinecircadian clockskin and connective tissue diseasesComputingMilieux_MISCELLANEOUSMice KnockoutipRGCsBehavior AnimalphotoreceptorsorganizationCircadian Rhythmmedicine.anatomical_structurerodtranscriptionBiotechnologyPhotopic visionMelanopsinnegative maskingrat retinaBiologyRetina03 medical and health sciences[ SDV.MHEP ] Life Sciences [q-bio]/Human health and pathologyCircadian ClocksGeneticsmedicineAnimalsCircadian rhythmScotopic visionmelanopsin-knockout miceMolecular BiologymouseRetinaIntrinsically photosensitive retinal ganglion cellsRod OpsinsRetinalganglion-cellsbody regionsmammalian retina030104 developmental biologychemistryNuclear Receptor Subfamily 1 Group D Member 1sense organsNeuroscience030217 neurology & neurosurgeryPhotic Stimulation[SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
researchProduct

Time-frequency analysis of the human photoreceptoral response

2009

Electroretinogram analisi wavelet
researchProduct

An approach based on wavelet analysis for feature extraction in the electroretinogram

2011

Most biomedical signals are non-stationary. The knowledge of their frequency content and temporal distribution is then useful in a clinical context. The wavelet analysis is appropriate to achieve this task. The present paper uses this method to reveal hidden characteristics and anomalies of the human a-wave, an important component of the electroretinogram since it is a measure of the functional integrity of the photoreceptors. We here analyse the time–frequency features of the a-wave both in normal subjects and in patients affected by Achromatopsia, a pathology disturbing the functionality of the cones. The results indicate the presence of two or three stable frequencies that, in the pathol…

Electroretinogram a-Wave Photoreceptoral response Achromatopsia Wavelet analysisSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)
researchProduct

Tyro3 Contributes to Retinal Ganglion Cell Function, Survival and Dendritic Density in the Mouse Retina

2020

Retinal ganglion cells (RGCs) are the only output neurons of the vertebrate retina, integrating signals from other retinal neurons and transmitting information to the visual centers of the brain. The death of RGCs is a common outcome in many optic neuropathies, such as glaucoma, demyelinating optic neuritis and ischemic optic neuropathy, resulting in visual defects and blindness. There are currently no therapies in clinical use which can prevent RGC death in optic neuropathies; therefore, the identification of new targets for supporting RGC survival is crucial in the development of novel treatments for eye diseases. In this study we identify that the receptor tyrosine kinase, Tyro3, is crit…

0301 basic medicineinner plexiform layergenetic structuresdendritesNerve fiber layerTAM receptorelectroretinogramBiologyRetinal ganglionlcsh:RC321-57103 medical and health scienceschemistry.chemical_compound0302 clinical medicinemedicineOptic neuritislcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOriginal ResearchRetinaoptical coherence tomographymedicine.diagnostic_testreceptor tyrosine kinasesGeneral NeuroscienceRetinalInner plexiform layermedicine.diseaseeye diseases030104 developmental biologymedicine.anatomical_structurechemistryRetinal ganglion cellsense organsNeuroscience030217 neurology & neurosurgeryNeuroscienceElectroretinographyFrontiers in Neuroscience
researchProduct

Retinal function assessment in alcohol use disorder patients

2019

Objective. Retinal injury induced by ethanol consumption has been previously reported in animal models, including biochemical, histological and functional alterations. These results need to be clinically tested in alcoholic patients which do not report several systemic or ophthalmic diseases. Methods. Six patients with alcohol use disorder were recruited from an ‘Alcoholism Treatment Unit’. All of them with active alcohol consumption when the study was conducted or that had stopped drinking six months prior to the study, with no ocular disease or visual acuity alterations. All patients underwent fundus photography, optical coherence tomography (OCT) as well as visual field test. Electrophys…

AlcoholísmoAlcoholismogenetic structuresalcoholelectroretinogramOftalmologíasense organsvisual evoked potentialEnfermedadesEnfermedadeye diseases
researchProduct

Active learning in a real-world bioengineering problem: A pilot-study on ophthalmologic data processing

2019

Active learning is a format alternative to the conventional lecture/recitation/laboratory; research results have reported that it is suitable to encourage student inquiry and foster peer mentoring. Although the availability of computer-based learning materials in biomedical sciences is increasing, there are relatively few studies aimed to integrate traditional methods of teaching with inquiry-based approaches utilizing these Information and Communication Technologies (ICT) tools. This paper describes a pilot-study on a comprehensive active laboratory course about digital ophthalmologic signal classification, experienced by a group of undergraduates in Bio-Electronic Engineering. During the …

Data processingGeneral Computer ScienceMultimediaComputer scienceSettore FIS/08 - Didattica E Storia Della Fisica05 social sciencesGeneral Engineering050301 educationcomputer.software_genreSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Settore FIS/03 - Fisica Della MateriaEducation03 medical and health sciences0302 clinical medicineActive learning0503 educationcomputer030217 neurology & neurosurgeryactive learning technologies collaborative learning tools educational software applicationselectroretinogram learning via discoveryComputer Applications in Engineering Education
researchProduct

ERG signal analysis using wavelet transform

2009

The wavelet analysis is a powerful tool for analyzing and detecting features of signals characterized by time-dependent statistical properties, as biomedical signals. The identification and the analysis of the components of these signals in the time-frequency domain, give meaningful information about the physiological mechanisms that govern them. This article presents the results of the wavelet analysis applied to the a-wave component of the human electroretinogram. In order to deepen and improve our knowledge about the behavior of the early photoreceptoral response, including the possible activation of interactions and correlations among the photoreceptors, we have detected and identified …

Statistics and ProbabilitySignal processingComputer scienceApplied MathematicsWavelet AnalysisMexican hat waveletWavelet transformLuminanceRetinaSettore FIS/07 - Fisica Applicata(Beni Culturali Ambientali Biol.e Medicin)Electroretinogram – a-wave – Photoreceptoral response – Wavelet analysis – Mexican hat waveletRange (mathematics)Identification (information)WaveletOrder (biology)ElectroretinographyHumansPhotoreceptor CellsBiological systemPhotic StimulationEcology Evolution Behavior and SystematicsTheory in Biosciences
researchProduct