Search results for "Neurological"

showing 10 items of 393 documents

Scalp, earlobe and nasopharyngeal recordings of the median nerve somatosensory evoked P14 potential in coma and brain death

1996

Median nerve somatosensory evoked potentials (SEPs) were recorded in a total of 181 patients in coma and brain death. Special attention was paid to derivation of P14 (the positive potential occurring approximately 14 ms after median nerve stimulation) with different electrode montages, using midfrontal scalp (Fz), linked earlobe (A1/2), median nasopharyngeal (Pgz) and non-cephalic reference (NC) electrodes. The P14 amplitude (and, to a lesser extent, latency) were invariably lower in brain death than in coma. The potential was preserved in coma in all patients, but lost in brain death in 9.8% in Fz-NC and Pgz-NC recordings, in 23.2% in Fz-A1/2, and in 100% in Fz-Pgz. Thus, Fz-Pgz was the de…

AdultMaleBrain DeathAdolescentNeurological disorderSomatosensory systemLesionEvoked Potentials SomatosensoryReaction TimemedicineHumansComaChildEarlobeAgedAged 80 and overComaMiddle Agedmedicine.diseaseMedian nerveMedian Nervemedicine.anatomical_structureSomatosensory evoked potentialScalpAnesthesiaFemaleNeurology (clinical)medicine.symptomPsychologyBrain
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The Temporal Structure of Vertical Arm Movements

2011

Import JabRef | WosArea Life Sciences and Biomedicine - Other Topics; International audience; The present study investigates how the CNS deals with the omnipresent force of gravity during arm motor planning. Previous studies have reported direction-dependent kinematic differences in the vertical plane; notably, acceleration duration was greater during a downward than an upward arm movement. Although the analysis of acceleration and deceleration phases has permitted to explore the integration of gravity force, further investigation is necessary to conclude whether feedforward or feedback control processes are at the origin of this incorporation. We considered that a more detailed analysis of…

AdultMaleCORTEXAnatomy and PhysiologyTime FactorsMovementAccelerationlcsh:MedicineNeurophysiologyKinematicsRotationNeurological SystemMotor Neuron DiseasesBehavioral NeuroscienceAccelerationGRAVITYHumanslcsh:ScienceBiologyMotor SystemsDIRECTIONAL ISOMETRIC FORCESENSORIMOTORPhysicsMultidisciplinaryMovement (music)lcsh:RMOTOR CORTICAL REPRESENTATIONBiomechanicsVertical planePOINTING MOVEMENTSGeodesyBiomechanical PhenomenaMODELSIGNAL-DEPENDENT NOISEAmplitudeNeurologySAGITTAL PLANEDuration (music)[ SCCO.NEUR ] Cognitive science/NeuroscienceArmMedicinelcsh:QINTEGRATIONResearch ArticleNeurosciencePLoS ONE
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Identifying musical pieces from fMRI data using encoding and decoding models.

2018

AbstractEncoding models can reveal and decode neural representations in the visual and semantic domains. However, a thorough understanding of how distributed information in auditory cortices and temporal evolution of music contribute to model performance is still lacking in the musical domain. We measured fMRI responses during naturalistic music listening and constructed a two-stage approach that first mapped musical features in auditory cortices and then decoded novel musical pieces. We then probed the influence of stimuli duration (number of time points) and spatial extent (number of voxels) on decoding accuracy. Our approach revealed a linear increase in accuracy with duration and a poin…

AdultMaleComputer scienceSpeech recognitionModels Neurologicalmusiikkilcsh:MedicineMusicalStimulus (physiology)Auditory cortexneural encodingkuunteleminen050105 experimental psychologyArticleKey (music)03 medical and health sciencesYoung Adult0302 clinical medicineSpatio-Temporal AnalysisEncoding (memory)Humans0501 psychology and cognitive scienceslcsh:ScienceAuditory CortexMultidisciplinaryPoint (typography)lcsh:R05 social sciencesneurotieteetMagnetic Resonance Imagingneural decodingHealthy VolunteerscortexaivokuorikoneoppiminenAcoustic StimulationDuration (music)lcsh:QFemale030217 neurology & neurosurgeryDecoding methodsMusicScientific reports
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Emotional Factors and Subjective Quality of Life in Subjects with Spinal Cord Injuries

2002

Benony H, Daloz L, Bungener C, Chahraoui K, Frenay C, Auvin J: Emotional factors and subjective quality of life in subjects with spinal cord injuries. Am J Phys Med Rehabil 2002;81:437- 445. Objective: To compare depression, subjective perception of quality of life, and social support in patients with spinal cord injuries 4 yr or more after trauma vs. controls. Design: The Rorschach inkblot method, the Diagnostic Interview Schedule Self-Administered, the Progressive Matrix 38, the Social Support Appraisals, and the Subjective Quality of Life Profile were used to assess 33 patients with spinal cord injuries and 33 matched controls. Results: No significant difference was observed for levels o…

AdultMaleCoping (psychology)medicine.medical_specialtyPsychometricsmedicine.medical_treatmentEmotionsPhysical Therapy Sports Therapy and RehabilitationNeurological disorderSocial supportCognitionmedicineHumansPsychiatryTetraplegiaSpinal Cord InjuriesAgedChi-Square DistributionRehabilitationbusiness.industryRehabilitationSocial SupportMiddle Agedmedicine.diseaseRorschach TestCase-Control StudiesQuality of LifeAnxietyFemalemedicine.symptombusinessParaplegiaClinical psychologyAmerican Journal of Physical Medicine & Rehabilitation
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Surrogate data analysis of sleep electroencephalograms reveals evidence for nonlinearity

1996

We tested the hypothesis of whether sleep electroencephalographic (EEG) signals of different time windows (164 s, 82 s, 41 s and 20.5 s) are in accordance with linear stochastic models. For this purpose we analyzed the all-night sleep electroencephalogram of a healthy subject and corresponding Gaussian-rescaled phase randomized surrogates with a battery of five non-linear measures. The following nonlinear measures were implemented: largest Lyapunov exponent L1, correlation dimension D2, and the Green-Savit measures delta 2, delta 4 and delta 6. The hypothesis of linear stochastic data was rejected with high statistical significance. L1 and D2 yielded the most pronounced effects, while the G…

AdultMaleCorrelation dimensionGeneral Computer ScienceStochastic modellingModels NeurologicalLyapunov exponentElectroencephalographysymbols.namesakeStatisticsmedicineHumansMathematicsStochastic ProcessesQuantitative Biology::Neurons and Cognitionmedicine.diagnostic_testStochastic processbusiness.industryLinear modelElectroencephalographyPattern recognitionNonlinear systemNonlinear DynamicsData Interpretation StatisticalLinear ModelssymbolsSleep (system call)Artificial intelligenceSleepbusinessCyberneticsBiotechnologyBiological Cybernetics
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The dimensionality of human's electroencephalogram during sleep.

1991

In order to perform an analysis of nonlinear EEG-dynamics we investigated the EEG of ten male probands during sleep. According to Rechtschaffen and Kales (1968) we scored the sleep-EEG and applied an algorithm, proposed by Grassberger and Proccaccia (1983) to compute the correlation dimension of different sleep stages. The correlation dimension characterizes the dynamics of the EEG signal and estimates the degrees of freedom of the signal under study. We could demonstrate, that the EEG of slow wave sleep stages depicts a dimensionality, which is two units smaller than that of light or REM sleep.

AdultMaleCorrelation dimensionGeneral Computer Sciencemedia_common.quotation_subjectModels NeurologicalSleep REMElectroencephalographymedicineHumansSlow-wave sleepmedia_commonSleep Stagesmedicine.diagnostic_testbusiness.industryPattern recognitionElectroencephalographyArtificial intelligenceSleep StagesSpectrum analysisbusinessPsychologySleepBiotechnologyCurse of dimensionalityVigilance (psychology)Biological cybernetics
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''Alterations with Movement Duration in the Kinematics of a Whole Body Pointing Movement''

2013

Casteran, Matthieu | Manckoundia, Patrick | Pozzo, Thierry | Thomas, Elizabeth; International audience; ''Our aim was to investigate how the organization of a whole body movement is altered when movement duration (MD) is varied. Subjects performed the same whole body pointing movement over long, normal and short MDs. The kinematic trajectories were then analyzed on a normalized time base. A principal components analysis (PCA) revealed that the degree of coordination between the elevation angles of the body did not change with MD. This lack of significant differences in the coordination was interesting given that small spatial and temporal differences were observed in the individual kinemati…

AdultMaleDYNAMICSAnatomy and PhysiologyTime FactorsCOMPUTATIONAL MODELMovementBiophysicsNeurophysiologylcsh:MedicineAngular velocityKinematicsNeurological SystemARM MOVEMENTHumansBiomechanicsSPEEDlcsh:ScienceBiologyMusculoskeletal SystemJoint (geology)Motor SystemsPrincipal Component AnalysisCOORDINATIONMultidisciplinaryNormalized TimeMovement (music)Physicslcsh:RElevationAMPLITUDESEGMENTS''MUSCLE ACTIVATIONGeodesyBiomechanical PhenomenaSEGMENTSCOMMUNITYEQUILIBRIUMDuration (music)Principal component analysis''ARM MOVEMENT[ SCCO.NEUR ] Cognitive science/NeuroscienceMedicineFemaleJointslcsh:QGeologyResearch ArticleNeuroscience
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Deterministic chaos and the first positive Lyapunov exponent: a nonlinear analysis of the human electroencephalogram during sleep

1993

Under selected conditions, nonlinear dynamical systems, which can be described by deterministic models, are able to generate so-called deterministic chaos. In this case the dynamics show a sensitive dependence on initial conditions, which means that different states of a system, being arbitrarily close initially, will become macroscopically separated for sufficiently long times. In this sense, the unpredictability of the EEG might be a basic phenomenon of its chaotic character. Recent investigations of the dimensionality of EEG attractors in phase space have led to the assumption that the EEG can be regarded as a deterministic process which should not be mistaken for simple noise. The calcu…

AdultMaleGeneral Computer ScienceModels NeurologicalChaoticSystems TheoryLyapunov exponentsymbols.namesakeControl theoryAttractorHumansStatistical physicsMathematicsSleep StagesButterfly effectQuantitative Biology::Neurons and CognitionElectroencephalographyMiddle AgedNonlinear systemData Interpretation StatisticalPhase spaceQuasiperiodic functionsymbolsSleep StagesSleepCyberneticsBiotechnologyBiological Cybernetics
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Further evidence of genetic heterogeneity in familial essential tremor.

2007

Familial essential tremor (FET) is a common hereditary movement disorder with phenotypic variability and genetic heterogeneity. To date, linkage analyses revealed three loci associated to essential tremor (ET) (ETM1 on 3q13, ETM2 on 2p22-25, and a locus on 6p23). We performed a genetic analysis of these candidate chromosomal regions in a fifth-generation Italian kindred with autosomal-dominant ET. Of the 22 clinically evaluated family members, nine were affected by ET. The genetic study indicates that the ET in this family is not associated to any of the known ET loci. These findings support evidence of further genetic heterogeneity for such disease. (C) 2007 Elsevier Ltd. All rights reserv…

AdultMaleGenetic LinkageLocus (genetics)DiseaseBiologyGenetic analysisGenetic HeterogeneityGenetic linkagemedicineHumansAge of OnsetAgedGeneticsEssential tremorGenetic heterogeneityMiddle Agedmedicine.diseasePhenotypePedigreeNeurologySettore MED/03 - Genetica MedicaDisease ProgressionEssential tremorFemaleSettore MED/26 - NeurologiaNeurology (clinical)Geriatrics and GerontologyAge of onsetLinkage analysiNeurological disease
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The minimally invasive supraorbital subfrontal key-hole approach for surgical treatment of temporomesial lesions of the dominant hemisphere

2009

INTRODUCTION: Surgery in the temporomesial region is generally performed using a subtemporal, transtemporal, or pterional-transsylvian approach. However, these approaches may lead to approach-related trauma of the temporal lobe and frontotemporal operculum with subsequent postoperative neurological deficits. Iatrogenic traumatisation is especially significant if surgery is performed in the dominant hemisphere. METHODS: During a five-year period between January 2003 and December 2007, we have approached the temporomesial region in 21 cases via the supraorbital approach. In 15 cases, the lesion was located within the dominant hemisphere, all lesions had space-occupying effects. In all cases, …

AdultMaleHemangioma Cavernous Central Nervous Systemmedicine.medical_specialtyNeurological examination610 Medicine & healthAstrocytomaHippocampusNeurosurgical ProceduresTemporal lobeLesionYoung Adult10180 Clinic for NeurosurgeryPostoperative ComplicationsPreoperative CaremedicineHumansMinimally Invasive Surgical ProceduresDominance CerebralSurgical treatmentOperculum (brain)Gangliogliomamedicine.diagnostic_testBrain Neoplasmsbusiness.industryGeneral MedicineMiddle AgedTemporal LobeFrontal LobeSurgery2746 SurgeryTreatment OutcomeHemiparesismedicine.anatomical_structure2728 Neurology (clinical)Frontal BoneParahippocampal GyrusFemaleSurgeryNeurology (clinical)medicine.symptombusinessOrbitCraniotomyParahippocampal gyrusDominant hemisphere
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