Search results for "fMRI"

showing 10 items of 168 documents

EEG Microstates Analysis in Young Adults With Autism Spectrum Disorder During Resting-State

2019

Electroencephalography (EEG) is a useful tool to inspect the brain activity in resting state and allows to characterize spontaneous brain activity that is not detected when a subject is cognitively engaged. Moreover, taking advantage of the high time resolution in EEG, it is possible to perform fast topographical reference-free analysis, since different scalp potential fields correspond to changes in the underlying sources within the brain. In this study, the spontaneous EEG resting state (eyes closed) was compared between 10 young adults ages 18-30 years with autism spectrum disorder (ASD) and 13 neurotypical controls. A microstate analysis was applied, focusing on four temporal parameters…

medicine.medical_specialtyBrain activity and meditationautism spectrum disorderAudiologyElectroencephalography050105 experimental psychologylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicineMinistatemedicine0501 psychology and cognitive sciencesresting statelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryOriginal ResearchEEG microstatesResting state fMRImedicine.diagnostic_test05 social sciencesmedicine.diseaseExplained variationddc:616.8Psychiatry and Mental healthEEG microstatesNeuropsychology and Physiological PsychologyNeurologyAutism spectrum disordertopographical analysisPsychology030217 neurology & neurosurgeryNeurotypicalelectroencephalographyNeuroscienceFrontiers in Human Neuroscience
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2014

Bipolar disorder is characterized by a functional imbalance between hyperactive ventral/limbic areas and hypoactive dorsal/cognitive brain regions potentially contributing to affective and cognitive symptoms. Resting-state studies in bipolar disorder have identified abnormal functional connectivity between these brain regions. However, most of these studies used a seed-based approach, thus restricting the number of regions that were analyzed. Using data-driven approaches, researchers identified resting state networks whose spatial maps overlap with frontolimbic areas such as the default mode network, the frontoparietal networks, the salient network, and the meso/paralimbic network. These ne…

medicine.medical_specialtyElementary cognitive taskMultidisciplinaryBipolar I disorderResting state fMRICognitionmedicine.diseaseSchizophreniamedicineBipolar disorderPsychiatryPsychologyPrefrontal cortexNeuroscienceDefault mode networkPLOS ONE
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Information transfer and information modification to identify the structure of cardiovascular and cardiorespiratory networks

2017

To fully elucidate the complex physiological mechanisms underlying the short-term autonomic regulation of heart period (H), systolic and diastolic arterial pressure (S, D) and respiratory (R) variability, the joint dynamics of these variables need to be explored using multivariate time series analysis. This study proposes the utilization of information-theoretic measures to measure causal interactions between nodes of the cardiovascular/cardiorespiratory network and to assess the nature (synergistic or redundant) of these directed interactions. Indexes of information transfer and information modification are extracted from the H, S, D and R series measured from healthy subjects in a resting…

medicine.medical_specialtyInformation transferPosture0206 medical engineeringBiomedical EngineeringBlood PressureHealth Informatics02 engineering and technologycomputer.software_genreCardiovascular SystemDiastolic arterial pressureAutonomic regulation03 medical and health sciences0302 clinical medicineHeart RateInternal medicineBayesian multivariate linear regressionmedicine1707Resting state fMRIbusiness.industryRespirationMultivariate time series analysisHealthy subjectsCardiorespiratory fitness020601 biomedical engineeringSignal ProcessingSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaLinear ModelsCardiologyData miningbusinesscomputer030217 neurology & neurosurgery2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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Quantitative contrast-enhanced myocardial perfusion magnetic resonance imaging: Simulation of bolus dispersion in constricted vessels

2009

Quantification of myocardial blood flow (MBF) by means of T 1 -weighted first-pass magnetic resonance imaging(MRI) requires knowledge of the arterial input function (AIF), which is usually estimated from the left ventricle (LV). Dispersion of the contrast agent bolus may occur between the LV and the tissue of interest, which leads to systematic underestimation of the MBF. The aim of this study was to simulate the dispersion along a simplified coronary artery with different stenoses. To analyze the dispersion in vessels with typical dimensions of coronary arteries, simulations were performed using the computational fluid dynamics approach. Simulations were accomplished on straight vessels wi…

medicine.medical_specialtyMaterials sciencemedicine.diagnostic_testResting state fMRIHemodynamicsMagnetic resonance imagingGeneral MedicineBlood flowCoronary arteriesmedicine.anatomical_structureVentricleInternal medicinemedicineCardiologyPerfusionArteryMedical Physics
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Detection of central circuits implicated in the formation of novel pain memories

2016

Jaymin Upadhyay,1 Julia Granitzka,1 Thomas Bauermann,2 Ulf Baumgärtner,3 Markus Breimhorst,1 Rolf-Detlef Treede,3 Frank Birklein1 1Department of Neurology, 2Department of Neuroradiology, University Medical Centre, Johannes Gutenberg University Mainz, Mainz, 3Department of Neurophysiology, Center for Biomedicine and Medical Technology Mannheim (CBTM), Heidelberg University, Mannheim, Germany Abstract: Being able to remember physically and emotionally painful events in one’s own past may shape behavior, and can create an aversion to a variety of situations. Pain imagination is a related process that may include recall of past experiences, in addition to production of sensor…

medicine.medical_specialtyPosterior parietal cortexSensory systemAudiology050105 experimental psychology03 medical and health sciences0302 clinical medicineHealthy volunteerspain memorymedicineMiddle frontal gyrusPain perception0501 psychology and cognitive sciencesJournal of Pain Researchobject memoryBrain functionOriginal Researchmedicine.diagnostic_testRecalltooth painbusiness.industryfMRI05 social sciencespain imaginationAnesthesiology and Pain MedicineFunctional magnetic resonance imagingbusiness030217 neurology & neurosurgeryJournal of Pain Research
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First-Episode Psychotic Patients Showed Longitudinal Brain Changes Using fMRI With an Emotional Auditory Paradigm

2020

[EN] Most previous longitudinal studies of functional magnetic resonance imaging (fMRI) in first-episode psychosis (FEP) using cognitive paradigm task found an increased activation after antipsychotic medications. We designed an emotional auditory paradigm to explore brain activation during emotional and nonemotional word processing. This study aimed to analyze if longitudinal changes in brain fMRI BOLD activation is present in patients vs. healthy controls. A group of FEP patients (n = 34) received clinical assessment and had a fMRI scan at baseline and follow-up (average, 25-month interval). During the fMRI scan, both emotional and nonemotional words were presented as a block design. Resu…

medicine.medical_specialtylcsh:RC435-57103 medical and health sciences0302 clinical medicinefMRI—functional magnetic resonance imaginglcsh:PsychiatryFirst episode psychosis (FEP)medicinemedia_common.cataloged_instancePsiquiatriaEuropean unionPsychiatryOriginal Researchmedia_commonPsychiatryFirst episodeFMRI-functional magnetic resonance imagingFollow upParadigmEmotional design model030227 psychiatryPsychiatry and Mental healthnervous systemLongitudinalPsychologyLENGUAJES Y SISTEMAS INFORMATICOS030217 neurology & neurosurgeryFrontiers in Psychiatry
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A Multimodal Speech-Gesture Training Intervention for Patients With Schizophrenia and Its Neural Underpinnings – the Study Protocol of a Randomized C…

2020

Dysfunctional social communication is one of the most stable characteristics in patients with schizophrenia that also affects quality of life. Interpreting abstract speech and integrating nonverbal modalities is particularly affected. Considering the impact of communication on social life but failure to treat communication dysfunctions with usual treatment, we will investigate the possibility to improve verbal and non-verbal communication in schizophrenia by applying a multimodal speech-gesture training (MSG training). Here we describe the newly developed MSG training program and the study design for the first clinical investigation. The intervention contains perceptive rating (match/mismat…

medicine.medical_specialtylcsh:RC435-571Schizophrenia (object-oriented programming)speechlaw.inventionStudy Protocol03 medical and health sciencesFluencyNonverbal communication0302 clinical medicinePhysical medicine and rehabilitationQuality of life (healthcare)Randomized controlled triallawIntervention (counseling)lcsh:PsychiatrymedicineVerbal fluency testinterventionPsychiatrytrainingcommunicationfMRImultimodal030227 psychiatryschizophreniaPsychiatry and Mental healthgesturePsychology030217 neurology & neurosurgeryGestureFrontiers in Psychiatry
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Neural Mechanisms of Acceptance and Commitment Therapy for Chronic Pain: A Network-Based fMRI Approach

2021

AbstractOver 100 million Americans suffer from chronic pain (CP), which causes more disability than any other medical condition in the U.S. at a cost of $560-$635 billion per year (IOM, 2011). Opioid analgesics are frequently used to treat CP. However, long term use of opioids can cause brain changes such as opioid-induced hyperalgesia that, over time, increase pain sensation. Also, opioids fail to treat complex psychological factors that worsen pain-related disability, including beliefs about and emotional responses to pain. Cognitive behavioral therapy (CBT) can be efficacious for CP. However, CBT generally does not focus on important factors needed for long-term functional improvement, i…

medicine.medical_treatmentgraph theoryneural mechanismNIH ToolboxAcceptance and commitment therapylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicineQuality of life (healthcare)030202 anesthesiologymedicineAcceptance and Commitment Therapylcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryDefault mode networkOriginal Researchmedicine.diagnostic_testbusiness.industryfunctional connectivityfMRIChronic painCognitionCenter for Epidemiologic Studies Depression Scalemedicine.diseasebrain networksCognitive behavioral therapyPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyFunctional magnetic resonance imagingbusinesschronic pain030217 neurology & neurosurgeryClinical psychologyNeuroscienceFrontiers in Human Neuroscience
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Consistency of Independent Component Analysis for FMRI

2021

Background Independent component analysis (ICA) has been widely used for blind source separation in the field of medical imaging. However, despite of previous substantial efforts, the stability of ICA components remains a critical issue which has not been adequately addressed, despite numerous previous efforts. Most critical is the inconsistency of some of the extracted components when ICA is run with different model orders (MOs). New Method In this study, a novel method of determining the consistency of component analysis (CoCA) is proposed to evaluate the consistency of extracted components with different model orders. In the method, “consistent components” (CCs) are defined as those whic…

model ordertoiminnallinen magneettikuvausconsistencysignaalinkäsittelyfMRIsignaalianalyysiICA
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Tensor clustering on outer-product of coefficient and component matrices of independent component analysis for reliable functional magnetic resonance…

2019

Background. Stability of spatial components is frequently used as a post-hoc selection criteria for choosing the dimensionality of an independent component analysis (ICA) of functional magnetic resonance imaging (fMRI) data. Although the stability of the ICA temporal courses differs from that of spatial components, temporal stability has not been considered during dimensionality decisions. New method. The current study aims to (1) develop an algorithm to incorporate temporal course stability into dimensionality selection and (2) test the impact of temporal course on the stability of the ICA decomposition of fMRI data via tensor clustering. Resting state fMRI data were analyzed with two popu…

model ordertoiminnallinen magneettikuvaustensor clusteringfMRIsignaalianalyysistabilityindependent component analysis (ICA)
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