Search results for "Voxel-based morphometry"

showing 10 items of 22 documents

A combined electrophysiological and morphological examination of episodic memory decline in amnestic mild cognitive impairment.

2013

Early stages of Alzheimer’s disease (AD) are characterized by neuropathological changes within the medial temporal lobe cortex (MTLC), which lead to characteristic impairments in episodic memory, i.e., amnestic mild cognitive impairment (aMCI). Here, we tested the neural correlates of this memory impairment using event-related potentials (ERPs) and voxel-based morphometry. Twenty-four participants were instructed to encode lists of words and were tested in a yes/no recognition memory task. The dual-process model of recognition memory dissociates between acontextual familiarity and recollection of contextual details. The early frontal ERP old/new-effect, which is thought to represent a neura…

AgingCognitive Neuroscienceevent-related potentialsrecognition memorybehavioral disciplines and activitieslcsh:RC321-571Event-related potentialMemory impairmentvoxel-based morphometryOriginal Research ArticleMedial Temporal Lobeslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryEpisodic memoryRecognition memoryfamiliarityRecallBrain morphometryevent-related potential (ERP)Voxel-based morphometrymedial temporal lobeVoxel Based MorphometryTemporal lobe/cortexPsychologyNeuroscienceCognitive psychologyNeuroscienceFrontiers in aging neuroscience
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Unsupervised tissue classification of brain MR images for voxel-based morphometry analysis

2016

In this article, a fully unsupervised method for brain tissue segmentation of T1-weighted MRI 3D volumes is proposed. The method uses the Fuzzy C-Means (FCM) clustering algorithm and a Fully Connected Cascade Neural Network (FCCNN) classifier. Traditional manual segmentation methods require neuro-radiological expertise and significant time while semiautomatic methods depend on parameter's setup and trial-and-error methodologies that may lead to high intraoperator/interoperator variability. The proposed method selects the most useful MRI data according to FCM fuzziness values and trains the FCCNN to learn to classify brain’ tissues into White Matter, Gray Matter, and Cerebro-Spinal Fluid in …

Fuzzy clusteringComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONcomputer.software_genreFuzzy logicImaging phantom030218 nuclear medicine & medical imaging03 medical and health sciencesbrain images segmentation0302 clinical medicinevoxel-based morphometryBrain segmentationSegmentationElectrical and Electronic EngineeringCluster analysisSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArtificial neural networkbusiness.industryUsabilityneural networksElectronic Optical and Magnetic MaterialsComputingMethodologies_PATTERNRECOGNITIONfuzzy clusteringunsupervised tissues classificationComputer Vision and Pattern RecognitionData miningbusinesscomputer030217 neurology & neurosurgerySoftwareInternational Journal of Imaging Systems and Technology
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Grey matter reduction in the occipitotemporal cortex in Spanish children with dyslexia: A voxel-based morphometry study

2020

Abstract Structural and functional neuroimaging studies have reported brain alterations in occipitotemporal, temporoparietal, and left frontal areas in dyslexic patients. These areas have been linked to reading skill impairments, due to their involvement in word recognition and processing. However, most of the patients in these studies were speakers of languages with a deep orthography. In this study, we used voxel-based morphometry (VBM) to investigate brain differences in grey matter volume associated with a transparent language in a sample of 25 native Spanish participants (13 dyslexic and 12 non-dyslexic children). Results revealed a volume reduction in the left occipitotemporal cortex …

Linguistics and Languagemedicine.medical_specialtyCognitive Neurosciencemedia_common.quotation_subjectoccipitotemporal cortexExperimental and Cognitive PsychologyAudiologyGrey mattercomputer.software_genre050105 experimental psychology03 medical and health sciences0302 clinical medicineArts and Humanities (miscellaneous)Functional neuroimagingVoxelReading (process)medicinevoxel-based morphometry0501 psychology and cognitive sciencesmedia_common05 social sciencesDyslexiaVoxel-based morphometrymedicine.diseasedevelopmental dyslexiamedicine.anatomical_structureWord recognitionPsychologycomputer030217 neurology & neurosurgeryOrthographyshallow orthographyJournal of Neurolinguistics
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STUDIO DI SEGMENTAZIONE MORFOVOLUMETRICA IN PAZIENTI CON DECLINO COGNITIVO LIEVE, MALATTIA DI ALZHEIMER E MALATTIA DI PARKINSON

Magnetic Resonance Imaging (MRI) voxel-based morphometry (VBM) Alzheimer Disease (AD) Parkinson Disease (PD) Mild Cognitive Impairment (MCI)Settore MED/37 - Neuroradiologiarisonanza magnetica (MRI) segmentazione morfovolumetrica (VBM) malattia di Alzheimer (AD) malattia di Parkinson PD) declino cognitivo lieve (MCI)Settore MED/36 - Diagnostica Per Immagini E Radioterapia
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Linking personality and brain anatomy: a structural MRI approach to reinforcement sensitivity theory

2019

Reinforcement Sensitivity Theory (RST) proposes a widely used taxonomy of human personality linked to individual differences at both behavioral and neuropsychological levels that describe a predisposition to psychopathology. However, the body of RST research was based on animal findings, and little is known about their anatomical correspondence in humans. Here we set out to investigate MRI structural correlates (i.e. voxel-based morphometry) of the main personality dimensions proposed by the RST in a group of 400 healthy young adults who completed the Sensitivity to Punishment and Sensitivity to Reward Questionnaire (SPSRQ). Sensitivity to punishment scores correlated positively with the gr…

MaleIndividuality0302 clinical medicinelimbic systemSurveys and QuestionnairesGray MatterPrefrontal cortexFrontostriatal circuitmedia_commonPsychopathology05 social sciencesNeuropsychologyBrainGeneral MedicineAmygdalaMagnetic Resonance Imagingmedicine.anatomical_structureOriginal ArticleFemalePsychologyReinforcement Psychologypsychological phenomena and processesClinical psychologyPsychopathologyPersonalityCognitive Neurosciencemedia_common.quotation_subjectPrefrontal CortexExperimental and Cognitive PsychologyReinforcement sensitivity theoryAmygdalaPsychopathological predisposition050105 experimental psychologyFrontostriatal circuitYoung Adult03 medical and health sciencesLimbic systemPunishmentRewardmedicineHumansPersonalityvoxel-based morphometry0501 psychology and cognitive sciencesfrontostriatal circuitVoxel-based morphometryVoxel-based morphometryCorpus Striatumpersonalitypsychopathological predisposition030217 neurology & neurosurgery
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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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Effect of antipsychotic drugs on cortical thickness. A randomized controlled one-year follow-up study of haloperidol, risperidone and olanzapine.

2012

Abstract Background Imaging evidence indicates that brain alterations are primary to the full-blown onset of schizophrenia and seem to progress across time. The potential effects of antipsychotic medication on brain structure represent a key factor in understanding brain changes in psychosis. We aimed to investigate the effects of low doses of haloperidol, risperidone and olanzapine on cortical thickness. Method We investigated the effects of risperidone (N = 16), olanzapine (N = 18) and low doses of haloperidol (N = 18) in cortical thickness changes during 1-year follow-up period in a large and heterogeneous sample of schizophrenia spectrum patients. The relationship between cortical thick…

OlanzapineAdultMalemedicine.medical_specialtyPsychosisAdolescentmedicine.medical_treatmentNeuropsychological TestsBenzodiazepinesYoung AdultDouble-Blind MethodInternal medicinemedicineHaloperidolImage Processing Computer-AssistedHumansAntipsychoticScale for the Assessment of Negative SymptomsBiological PsychiatryAgedRetrospective StudiesCerebral CortexPsychiatric Status Rating ScalesAnalysis of VarianceRisperidoneVoxel-based morphometryMiddle Agedmedicine.diseaseRisperidoneMagnetic Resonance ImagingPsychiatry and Mental healthEndocrinologyFrontal lobeOlanzapineSchizophreniaHaloperidolFemalePsychologyCognition Disordersmedicine.drugClinical psychologyAntipsychotic AgentsFollow-Up StudiesSchizophrenia research
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SMART TECHNIQUES FOR FAST MEDICAL IMAGE ANALYSIS AND PROCESSING

Medical Imaging has become an important transversal applications and re- search field that embraces a great variety of sciences. Imaging is the central science of measurement in diagnosis and treating diseases. The effort of the technological progress has made possible human imaging starting from a single molecule to the whole body. The open challenge is to treat the huge amount of medical informations with the use of smart and fast techniques that allows clinical and images data analysis and processing. In this ph.D. Thesis, many issues have been addressed and a certain amount of improvement in various fields have been produced, such as biom- etry, organs and tissues segmentation, MRI ther…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMedical Imaging Biometry Expert Systems Segmentation Classification Clustering Voxel-Based Morphometry Mammography
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The change of volume of the lumbar vertebrae along with aging in asymptomatic population: a preliminary analysis

2018

Previous studies have demonstrated that the length of the lumbar spine is decreasing with age. Despite considerable research based on sagittal measurements, little is known about the changes in the volume of vertebrae. The objective of this study was to evaluate the changes in the volume of either column of the spine with age. Materials and methods: Computed tomography scans of 62 asymptomatic subjects, performed for thoracolumbar trauma evaluation were used to create virtual 3D models. At least 10 patients were assigned to every decade of life from third to eight. We used a novel technique to measure the volume of anterior column (AC) and posterior column (PC) per each segment (a total of …

asymptomatic populationaginglumbar spine alignmentVoxel-based morphometrylumbar spine alignment Voxel-based morphometry aging asymptomatic population
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Examining stability of independent component analysis based on coefficient and component matrices for voxel-based morphometry of structural magnetic …

2018

Independent component analysis (ICA) on group-level voxel-based morphometry (VBM) produces the coefficient matrix and the component matrix. The former contains variability among multiple subjects for further statistical analysis, and the latter reveals spatial maps common for all subjects. ICA algorithms converge to local optimization points in practice and the mostly applied stability investigation approach examines the stability of the extracted components. We found that the practically stable components do not guarantee to produce the practically stable coefficients of ICA decomposition for the further statistical analysis. Consequently, we proposed a novel approach including two steps: …

back-projectioncomponent matrixaivokuoridiabetescoefficient matrixvoxel-based morphometrysignaalianalyysimagneettitutkimusriippumattomien komponenttien analyysiMontreal cognitive assessmentstability
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