Search results for "CONNECTIVITY"

showing 10 items of 246 documents

Default Mode Network Efficiency Is Correlated With Deficits in Inhibition in Adolescents With Inhalant Use Disorder

2020

It is well established that alterations in cognitive function and damage to brain structures are often found in adolescents who have substance use disorder (SUD). However, deficits in executive cognitive functioning in adolescents related to the vulnerability and consumption of such substances are not well known. In this study, we use graph theoretic analysis to compare the network efficiency in the resting state for three networks---default mode network (DMN), salience network (SN) and fronto-parietal network (FPN)---between inhalant-consuming adolescents and a control group (12 to 17 years old). We analysed whether the efficiency of these functional networks was related to working memory,…

Mediation (statistics)lcsh:RC435-571executive-functionresting-state functional magnetic resonance imaging03 medical and health sciences0302 clinical medicinelcsh:PsychiatrymedicineadolescentsCognitive skillDefault mode networkOriginal ResearchPsychiatryResting state fMRIsubstance use disorderWorking memoryfunctional connectivityCognitive flexibilityCognitionmedicine.disease030227 psychiatrySubstance abusePsychiatry and Mental healthPsychology030217 neurology & neurosurgeryClinical psychologyFrontiers in Psychiatry
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Freshening of the Mediterranean Salt Giant: controversies and certainties around the terminal (Upper Gypsum and Lago-Mare) phases of the Messinian Sa…

2021

The late Miocene evolution of the Mediterranean Basin is characterized by major changes in connectivity, climate and tectonic activity resulting in unprecedented environmental and ecological disruptions. During the Messinian Salinity Crisis (MSC, 5.97-5.33 Ma) this culminated in most scenarios first in the precipitation of gypsum around the Mediterranean margins (Stage 1, 5.97-5.60 Ma) and subsequently > 2 km of halite on the basin floor, which formed the so-called Mediterranean Salt Giant (Stage 2, 5.60-5.55 Ma). The final MSC Stage 3, however, was characterized by a "low-salinity crisis", when a second calcium-sulfate unit (Upper Gypsum; substage 3.1, 5.55-5.42 Ma) showing (bio)geochemica…

Mediterranean climate010504 meteorology & atmospheric sciencesSettore GEO/02 - Geologia Stratigrafica E SedimentologicaGeochemistryMediterranean stratigraphyEarth and Planetary Sciences(all)[SDU.STU]Sciences of the Universe [physics]/Earth SciencesStructural basinengineering.materialLate MioceneMessinian Salinity Crisis010502 geochemistry & geophysics01 natural sciencesMediterranean BasinParatethyLago-MareConnectivity proxie14. Life underwaterComputingMilieux_MISCELLANEOUS0105 earth and related environmental sciencesParatethysBrackish waterTerrigenous sedimentMessinian Salinity CrisiSettore GEO/01 - Paleontologia E PaleoecologiaSettore GEO/08 - Geochimica E Vulcanologia13. Climate actionPaleogeographyFaciesengineeringGeneral Earth and Planetary SciencesHaliteGeologyConnectivity proxies
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Emerging contaminants related to the occurrence of forest fires in the Spanish Mediterranean

2017

Forest fires can be a source of contamination because, among others, of the use of chemicals to their extinction (flame retardants, FRs), or by the production of Polycyclic Aromatic Hydrocarbons (PAHs) derived from high temperature alteration of organic matter. Up to our knowledge, this study is the first to assess the direct (PAHs 16 on the USA EPA's priority list), and indirect [tri- to hepta- brominated diphenyl ethers (PBDEs), organophosphorus flame retardants (PFRs) and perfluoroalkyl substances (PFASs)] contamination related to forest fires. The abundance and distribution of these contaminants were monitored on two Mediterranean hillslopes, one burned and one unburned, near Azuébar (S…

Mediterranean climateCanopyEnvironmental Engineering010504 meteorology & atmospheric sciencesPBDEsPriority listForest fires010501 environmental sciences01 natural sciencesWildfiresPAHsAbundance (ecology)PFASsPFRsEnvironmental ChemistrySoil PollutantsOrganic matterPolycyclic Aromatic HydrocarbonsWaste Management and Disposal0105 earth and related environmental sciencesFlame Retardantschemistry.chemical_classificationConnectivitySedimentVegetationContaminationPollutionCoupled hillslopeschemistrySpainEnvironmental chemistryEnvironmental scienceEnvironmental Monitoring
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Patterns of variability in early life traits of a Mediterranean coastal fish

2013

Spawning dates and pelagic larval duration (PLD) are early life traits (ELT) crucial for understanding life cycles, properly assessing patterns of connectivity and gathering indications about patchiness or homogeneity of larval pools. Considering that little attention has been paid to spatial variability in these traits, we investigated variability of ELT from the analysis of otolith microstructure in the common two-banded sea bream Diplodus vulgaris. In the southwestern Adriatic Sea, along ~200 km of coast (∼1° in latitude, 41.2° to 40.2°N), variability of ELT was assessed at multiple spatial scales. Overall, PLD (ranging from 25 to 61 d) and spawning dates (October 2009 to February 2010) …

Mediterranean climateConnectivityEcologybiologyEcologyCoastal fishPelagic zoneAquatic ScienceSea breambiology.organism_classificationSpatial variabilityLife history theorymedicine.anatomical_structureOceanographyMediterranean seaLarval patchinemedicineLife history traitMediterranean SeaDiplodus vulgarisSpatial variabilityEcology Evolution Behavior and SystematicsOtolith
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Rainfall simulation and Structure-from-Motion photogrammetry for the analysis of soil water erosion in Mediterranean vineyards

2016

[EN] Soil water erosion is a serious problem, especially in agricultural lands.Among these, vineyards deserve attention, because they constitute for the Mediterranean areas a type of land use affected by high soil losses. A significant problem related to the study of soil water erosion in these areas consists in the lack of a standardized procedure of collecting data and reporting results, mainly due to a variability among the measurement methods applied. Given this issue and the seriousness of soil water erosion in Mediterranean vineyards, this works aims to quantify the soil losses caused by simulated rainstorms, and compare them with each other depending on two different methodologies: (…

Mediterranean climateEnvironmental Engineering010504 meteorology & atmospheric sciencesSòls ErosióSoil science01 natural sciencesMediterranean vineyards; Rainfall simulation; Sediment connectivity; Soil water erosion; Structure from motion; Environmental Engineering; Environmental Chemistry; Medicine (all); Waste Management and Disposal; PollutionEnvironmental ChemistryDigital elevation modelWaste Management and Disposal0105 earth and related environmental sciencesSediment connectivity2. Zero hungerHydrologyLand useMedicine (all)Mediterranean vineyardsStructure from motionElevationSediment04 agricultural and veterinary sciences15. Life on landBodemfysica en LandbeheerPollutionSoil Physics and Land ManagementPhotogrammetrySoil waterINGENIERIA CARTOGRAFICA GEODESIA Y FOTOGRAMETRIA040103 agronomy & agricultureErosionRainfall simulation0401 agriculture forestry and fisheriesEnvironmental scienceSoil water erosion
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A Critical Period for Prefrontal Network Configurations Underlying Psychiatric Disorders and Addiction

2020

The medial prefrontal cortex (mPFC) has been classically defined as the brain region responsible for higher cognitive functions, including the decision-making process. Ample information has been gathered during the last 40 years in an attempt to understand how it works. We now know extensively about the connectivity of this region and its relationship with neuromodulatory ascending projection areas, such as the dorsal raphe nucleus (DRN) or the ventral tegmental area (VTA). Both areas are well-known regulators of the reward-based decision-making process and hence likely to be involved in processes like evidence integration, impulsivity or addiction biology, but also in helping us to predict…

Mini ReviewHIPPOCAMPAL VOLUMECognitive Neurosciencemedia_common.quotation_subjectVentral hippocampusImpulsivitylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicinemedicineAMYGDALA CONNECTIVITYValence (psychology)Prefrontal cortexlcsh:Neurosciences. Biological psychiatry. Neuropsychiatry030304 developmental biologymedia_commonprefrontal networks0303 health sciencesSYNAPSE FORMATIONVAL66MET POLYMORPHISMAddiction3112 NeurosciencesCognitionFUNCTIONAL CONNECTIVITYdecision-makingFRONTAL-CORTEXmedicine.diseasecritical periodVentral tegmental areaSubstance abuseCritical periodNeuropsychology and Physiological Psychologymedicine.anatomical_structureANTERIOR CINGULATEPrefrontal networksTEMPORAL-ORDERRATmedicine.symptomMESSENGER-RNANeuroscienceBasolateral amygdalan-makingventral hippocampus030217 neurology & neurosurgerybasolateral amygdalaBasolateral amygdalaDecision-making
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Translational Model of Cortical Premotor-Motor Networks.

2021

Abstract Deciphering the physiological patterns of motor network connectivity is a prerequisite to elucidate aberrant oscillatory transformations and elaborate robust translational models of movement disorders. In the proposed translational approach, we studied the connectivity between premotor (PMC) and primary motor cortex (M1) by recording high-density electroencephalography in humans and between caudal (CFA) and rostral forelimb (RFA) areas by recording multi-site extracellular activity in mice to obtain spectral power, functional and effective connectivity. We identified a significantly higher spectral power in β- and γ-bands in M1compared to PMC and similarly in mice CFA layers (L) 2/…

Movement disordersmedicine.diagnostic_testCognitive NeuroscienceFunctional connectivityMotor CortexMotor controlElectroencephalographyElectroencephalographyBiologyPremotor cortexCellular and Molecular NeuroscienceMotor networkMicemedicine.anatomical_structureForelimbNeural PathwaysmedicineAnimalsPrimary motor cortexmedicine.symptomForelimbNeuroscienceCerebral cortex (New York, N.Y. : 1991)
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Multivariate autoregressive model with instantaneous effects to improve brain connectivity estimation

2009

Multivariate autoregressive models brain connectivity
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Single-trial Connectivity Estimation through the Least Absolute Shrinkage and Selection Operator.

2019

Methods based on the use of multivariate autoregressive models (MVAR) have proved to be an accurate tool for the estimation of functional links between the activity originated in different brain regions. A well-established method for the parameters estimation is the Ordinary Least Square (OLS) approach, followed by an assessment procedure that can be performed by means of Asymptotic Statistic (AS). However, the performances of both procedures are strongly influenced by the number of data samples available, thus limiting the conditions in which brain connectivity can be estimated. The aim of this paper is to introduce and test a regression method based on Least Absolute Shrinkage and Selecti…

Multivariate statisticsComputer science0206 medical engineering02 engineering and technologyConnectivity measurementsLeast squares03 medical and health sciences0302 clinical medicineLasso (statistics)Statistics::MethodologyLeast-Squares AnalysisStatisticShrinkagebusiness.industryBrainPattern recognitionElectroencephalography020601 biomedical engineeringCausalityData pointAutoregressive modelCausality; Connectivity measurements; Physiological systems modeling - Multivariate signal processingPhysiological systems modeling - Multivariate signal processingOrdinary least squaresLeast-Squares Analysis Brain ElectroencephalographyArtificial intelligencebusiness030217 neurology & neurosurgeryAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
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Measuring frequency domain granger causality for multiple blocks of interacting time series

2011

In the past years, several frequency-domain causality measures based on vector autoregressive time series modeling have been suggested to assess directional connectivity in neural systems. The most followed approaches are based on representing the considered set of multiple time series as a realization of two or three vector-valued processes, yielding the so-called Geweke linear feedback measures, or as a realization of multiple scalar-valued processes, yielding popular measures like the directed coherence (DC) and the partial DC (PDC). In the present study, these two approaches are unified and generalized by proposing novel frequency-domain causality measures which extend the existing meas…

Multivariate statisticsTime FactorsGeneral Computer ScienceLogarithmScalar (mathematics)Complex systemTopologyModels BiologicalNeurophysiological time serieBlock-based connectivity analysiGranger causalityStatisticsHumansComputer SimulationDirected coherenceMathematicsNumerical analysisPartial directed coherenceBrainElectroencephalographyVector autoregressive (VAR) modelBrain WavesCausalityAutoregressive modelFrequency domainComputer ScienceSettore ING-INF/06 - Bioingegneria Elettronica E InformaticaGranger causalityAlgorithmsBiotechnologyBiological Cybernetics
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