Search results for " neural"

showing 10 items of 1611 documents

Dosage individualization of erythropoietin using a profile-dependent support vector regression

2003

The external administration of recombinant human erythropoietin is the chosen treatment for those patients with secondary anemia due to chronic renal failure in periodic hemodialysis. The objective of this paper is to carry out an individualized prediction of the EPO dosage to be administered to those patients. The high cost of this medication, its side-effects and the phenomenon of potential resistance which some individuals suffer all justify the need for a model which is capable of optimizing dosage individualization. A group of 110 patients and several patient factors were used to develop the models. The support vector regressor (SVR) is benchmarked with the classical multilayer percept…

AdultAnemia HemolyticInjections SubcutaneousAutoregressive conditional heteroskedasticityBiomedical EngineeringMachine learningcomputer.software_genreCohort StudiesHemoglobinsRenal DialysisFeature (machine learning)HumansMedicineSensitivity (control systems)Time seriesErythropoietinAgedAged 80 and overArtificial neural networkbusiness.industryMiddle AgedRecombinant ProteinsRegressionDrug Therapy Computer-AssistedRegression PsychologySupport vector machineTreatment OutcomeMultilayer perceptronKidney Failure ChronicNeural Networks ComputerArtificial intelligencebusinesscomputerAlgorithmsBiomedical engineeringIEEE Transactions on Biomedical Engineering
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Criss‐crossing autism spectrum disorder and adult neurogenesis

2021

Autism spectrum disorder (ASD) comprises a group of multifactorial neurodevelopmental disorders primarily characterized by deficits in social interaction and repetitive behavior. Although the onset is typically in early childhood, ASD poses a lifelong challenge for both patients and caretakers. Adult neurogenesis (AN) is the process by which new functional neurons are created from neural stem cells existing in the post-natal brain. The entire event is based on a sequence of cellular processes, such as proliferation, specification of cell fate, maturation, and ultimately, synaptic integration into the existing neural circuits. Hence, AN is implicated in structural and functional brain plasti…

AdultAutism Spectrum DisorderNeurogenesisNeurogenesisCell fate determinationBiologymedicine.diseaseAffect (psychology)BiochemistryFMR1Neural stem cellCellular and Molecular NeuroscienceNeural Stem CellsNeurodevelopmental DisordersAutism spectrum disorderChild Preschoolmental disordersmedicineBiological neural networkAnimalsHumansEarly childhoodNeuroscienceJournal of Neurochemistry
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Spatiotemporal Neurodynamics Underlying Internally and Externally Driven Temporal Prediction: A High Spatial Resolution ERP Study

2015

Abstract Temporal prediction (TP) is a flexible and dynamic cognitive ability. Depending on the internal or external nature of information exploited to generate TP, distinct cognitive and brain mechanisms are engaged with the same final goal of reducing uncertainty about the future. In this study, we investigated the specific brain mechanisms involved in internally and externally driven TP. To this end, we employed an experimental paradigm purposely designed to elicit and compare externally and internally driven TP and a combined approach based on the application of a distributed source reconstruction modeling on a high spatial resolution electrophysiological data array. Specific spatiotemp…

AdultCognitive NeuroscienceArray data typeElectroencephalographyCue050105 experimental psychologyYoung Adult03 medical and health sciences0302 clinical medicinemedicineHumans0501 psychology and cognitive sciencesEvoked PotentialsImage resolutionCerebral CortexCommunicationSettore M-PSI/02 - Psicobiologia E Psicologia FisiologicaArtificial neural networkmedicine.diagnostic_testbusiness.industryFunctional Neuroimaging05 social sciencesElectroencephalographyCognitionAnticipation PsychologicalAnticipationCombined approachContingent negative variationTime PerceptionCuesEvoked PotentialPsychologybusinessNeurosciencePsychomotor Performance030217 neurology & neurosurgeryHumanJournal of Cognitive Neuroscience
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Seeing odors in color: Cross-modal associations in children and adults from two cultural environments

2018

International audience; We investigated the occurrence and underlying processes of odor–color associations in French and American 6- to 10-year-old children (n = 386) and adults (n = 137). Nine odorants were chosen according to their familiarity to either cultural group. Participants matched each odor with a color, gave hedonic and familiarity judgments, and identified each odor. By 6 years of age, children displayed culture-specific odor–color associations, but age differences were noted in the type of associations. Children and adults in both cultural groups shared common associations and formed associations that were unique to their environment, underscoring the importance of exposure le…

AdultCross-Cultural ComparisonMalevision[SDV]Life Sciences [q-bio]Ethnic groupColorExperimental and Cognitive PsychologyOlfaction050105 experimental psychologyDevelopmental psychologyJudgment03 medical and health sciences0302 clinical medicineDevelopmental and Educational PsychologyHumans0501 psychology and cognitive sciencesChildAge differences[SDV.NEU.PC]Life Sciences [q-bio]/Neurons and Cognition [q-bio.NC]/Psychology and behaviormusculoskeletal neural and ocular physiology05 social sciencesCultural group selectionRecognition Psychologychild (6–10 years)intercultural differencesSmellOdorOdorantsFemalemultisensory developmentodor–color associationsPsychology030217 neurology & neurosurgerypsychological phenomena and processesolfaction
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A deep learning framework for automatic diagnosis of unipolar depression.

2019

Abstract Background and purpose In recent years, the development of machine learning (ML) frameworks for automatic diagnosis of unipolar depression has escalated to a next level of deep learning frameworks. However, this idea needs further validation. Therefore, this paper has proposed an electroencephalographic (EEG)-based deep learning framework that automatically discriminated depressed and healthy controls and provided the diagnosis. Basic procedures In this paper, two different deep learning architectures were proposed that utilized one dimensional convolutional neural network (1DCNN) and 1DCNN with long short-term memory (LSTM) architecture. The proposed deep learning architectures au…

AdultMale020205 medical informaticsComputer science[SDV]Life Sciences [q-bio]Health Informatics02 engineering and technologyElectroencephalographyMachine learningcomputer.software_genreConvolutional neural network03 medical and health sciencesAutomation0302 clinical medicineDeep LearningEeg data0202 electrical engineering electronic engineering information engineeringmedicineHumans030212 general & internal medicineComputingMilieux_MISCELLANEOUSDepression (differential diagnoses)Depressive Disordermedicine.diagnostic_testbusiness.industryDeep learningElectroencephalographyCase-Control StudiesFemaleArtificial intelligenceNeural Networks ComputerbusinesscomputerInternational journal of medical informatics
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The gene expression profile of cumulus cells reveals altered pathways in patients with endometriosis

2014

PURPOSE: The objective of this experimental study was to compare the global gene expression profile of CC of mature oocytes in 18 patients with severe endometriosis and CC in 18 control patients affected by a severe male factor. METHODS: For each group, the CC were pooled, RNA was extracted and a microarray performed. For validating the microarray, a quantitative real-time PCR was performed in the CC of an independent set of patients with endometriosis (n = 5) and controls (n = 7). RESULTS: 595 differentially expressed genes (320 down-regulated, 275 up-regulated, p < 0.05, fold change ≥1.5) were identified. The most significant changes were observed in genes involved in the chemokine signal…

AdultMaleAdolescentMicroarrayEndometriosisEndometriosisDown-Regulationmacromolecular substancesBiologyBioinformaticsTranscriptomeAndrologyYoung AdultDownregulation and upregulationSettore BIO/13 - Biologia ApplicataGene expressionGeneticsmedicineHumansGenetics (clinical)Cumulus CellsMicroarray analysis techniquesGene Expression Profilingmusculoskeletal neural and ocular physiologygene expression profile cumulus cellObstetrics and GynecologyGeneral Medicinegene expression profile cumulus cells; microarray; EndometriosisMicroarray Analysismedicine.diseaseUp-RegulationGene expression profilingReproductive Physiology and Diseasenervous systemReproductive MedicineCase-Control StudiesOocytesFemaleSignal transductionTranscriptomemicroarraySignal TransductionDevelopmental Biology
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Alliesthesia is greater for odors of fatty foods than of non-fat foods

2011

International audience; Alliesthesia is the modulation of the rewarding value of a stimulus according to the internal state (hungry or satiated). This study aimed to evaluate this phenomenon as a function of the nature of the stimulus (odors evoking edible and non-edible items, and the food odors evoking fatty and non-fat foods) and to compare the effectiveness of two reward evaluations (measures of pleasantness and appetence) to reveal alliesthesia. The results showed that both fatty and non-fat food odors were judged as less pleasant and less appetent when the subjects were satiated than when they were hungry, whereas no such difference was observed for non-food odors. There was a greater…

AdultMaleAdolescentgenetic structuresHungerodorFatty foodsAppetiteSatiationStimulus (physiology)AlliesthesiaBody Mass IndexDevelopmental psychologyalliesthesiapleasantnessFood PreferencesYoung AdultAlliesthesia Fat Pleasantness Appetence Odor Internal state03 medical and health sciencesSex Factors0302 clinical medicinefatHumans0501 psychology and cognitive sciences050102 behavioral science & comparative psychologyFood scienceGeneral PsychologyNutrition and Dieteticsmusculoskeletal neural and ocular physiologydigestive oral and skin physiology05 social sciencesbehavioral sciencesDietary FatsSmell[SDV.AEN] Life Sciences [q-bio]/Food and Nutritioninternal stateOdorFoodTasteOdorantsLinear ModelsappetenceFemalePsychology[SDV.AEN]Life Sciences [q-bio]/Food and NutritionFood Analysispsychological phenomena and processes030217 neurology & neurosurgeryAppetite
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Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques

2013

HighlightsDifferent prediction algorithms were used to predict Hb levels in CRF patients.Prediction errors in the validation cohorts of patients were around 0.6g/dl.Difficulty to obtain lower errors due to the measuring machine precision (0.2g/dl).Relevance analysis of features have been applied for each predictor. Patients who suffer from chronic renal failure (CRF) tend to suffer from an associated anemia as well. Therefore, it is essential to know the hemoglobin (Hb) levels in these patients. The aim of this paper is to predict the hemoglobin (Hb) value using a database of European hemodialysis patients provided by Fresenius Medical Care (FMC) for improving the treatment of this kind of …

AdultMaleAdolescentmedicine.medical_treatmentHealth InformaticsMachine learningcomputer.software_genreDisease clusterSensitivity and SpecificityHemoglobinsYoung AdultArtificial IntelligenceRenal DialysismedicineHumansComputer SimulationCluster analysisErythropoietinAgedAged 80 and overDose-Response Relationship DrugArtificial neural networkbusiness.industryModels CardiovascularLinear modelReproducibility of ResultsAnemiaMiddle AgedRegressionDrug Therapy Computer-AssistedComputer Science ApplicationsSupport vector machineTreatment OutcomeAdaptive resonance theoryFemaleHemodialysisArtificial intelligenceDrug MonitoringbusinesscomputerAlgorithmsBiomarkersSoftwareComputer Methods and Programs in Biomedicine
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Longitudinal changes in odor identification performance and neuropsychological measures in aging individuals.

2015

To examine changes in odor identification performance and cognitive measures in healthy aging individuals. While cross-sectional studies reveal associations between odor identification and measures of episodic memory, processing speed, and executive function, longitudinal studies so far have been ambiguous with regard to demonstrating that odor identification may be predictive of decline in cognitive function.One hundred and 7 healthy aging individuals (average age 60.2 years, 71% women) were assessed with an odor identification test and nonolfactory cognitive measures of verbal episodic memory, mental processing speed, executive function, and language 3 times, covering a period of 6.5 year…

AdultMaleAgingMemory Episodic050105 experimental psychology03 medical and health sciencesExecutive Function0302 clinical medicineCognitionmedicineHumans0501 psychology and cognitive sciencesNeuropsychological assessmentLongitudinal StudiesHealthy agingskin and connective tissue diseasesEpisodic memoryAgedmedicine.diagnostic_testmusculoskeletal neural and ocular physiologyOdor discrimination05 social sciencesNeuropsychologyCognitionOdor identificationMiddle AgedNeuropsychology and Physiological PsychologyCross-Sectional StudiesOdorantsLinear ModelsFemalesense organsCognitive Assessment SystemPsychologyCognition Disorderspsychological phenomena and processes030217 neurology & neurosurgeryCognitive psychologyNeuropsychology
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Processing of auditory stimuli during tonic and phasic periods of REM sleep as revealed by event-related brain potentials

1996

The brain has been reported to be more preoccupied with dreams during phasic than during tonic REM sleep. Whether these periods also differ in terms of the processing of external stimuli was examined. Event-related brain potentials (ERPs) to a frequent standard tone of 1000 Hz (P = 97%) and infrequent deviant tones of 1100 and 2000 Hz (P = 1.5% for each) were recorded (n = 13) during wakefulness and nocturnal sleep. An ERP wave (called REM-P3) resembling a waking P3 wave was larger for the 2000 Hz deviant during tonic than during phasic REM sleep. Also the P210 wave was larger during tonic than during phasic REM sleep. A reliable mismatch negativity component appeared only in wakefulness. I…

AdultMaleAuditory perceptionmedicine.medical_specialtyCognitive NeuroscienceSleep REMMismatch negativityElectroencephalographyAudiologyNon-rapid eye movement sleepTonic (physiology)Behavioral NeuroscienceEvent-related potentialmental disordersmedicineHumansWakefulnessEvoked Potentialsmedicine.diagnostic_testmusculoskeletal neural and ocular physiologyBrainElectroencephalographyGeneral MedicineAuditory PerceptionAuditory stimuliFemaleWakefulnessPsychologyNeurosciencepsychological phenomena and processesJournal of Sleep Research
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