Search results for "CONNECTIVITY"

showing 10 items of 246 documents

Measuring High-Order Interactions in Rhythmic Processes Through Multivariate Spectral Information Decomposition

2021

Many complex systems in physics, biology and engineering are modeled as dynamical networks and described using multivariate time series analysis. Recent developments have shown that the emergent dynamics of a network system are significantly affected by interactions involving multiple network nodes which cannot be described using pairwise links. While these higher-order interactions can be probed using information-theoretic measures, a rigorous framework to describe them in the frequency domain is still lacking. This work presents an approach for the spectral decomposition of multivariate information measures, capable of identifying higher-order synergistic and redundant interactions betwee…

Brain modelingMultivariate statisticsTechnology and EngineeringGeneral Computer ScienceTime series analysiComplex systemTIME-SERIESHEART-RATETime series analysisEEG analysisInformation theoryMOTOR IMAGERYMatrix decompositionCouplingFrequency-domain analysiRedundancyelectronic oscillatorsRedundancy (engineering)General Materials ScienceNETWORKTime domainFrequency-domain analysissignal processingTEMPERATUREParametric statisticsinformation theoryPhysicsFEEDBACKGeneral Engineeringclimate dynamicsTime measurementspectral analysisTK1-9971Mathematics and Statisticshigh-order interactionsconnectivityFrequency domainCouplingsElectrical engineering. Electronics. Nuclear engineeringBiological systeminformation dynamicsCoherenceIEEE Access
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Dynamic Community Detection for Brain Functional Networks during Music Listening with Block Component Analysis

2023

Publisher Copyright: Author The human brain can be described as a complex network of functional connections between distinct regions, referred to as the brain functional network. Recent studies show that the functional network is a dynamic process and its community structure evolves with time during continuous task performance. Consequently, it is important for the understanding of the human brain to develop dynamic community detection techniques for such time-varying functional networks. Here, we propose a temporal clustering framework based on a set of network generative models and surprisingly it can be linked to Block Component Analysis to detect and track the latent community structure…

Brain modelingmodule detectionBiomedical EngineeringTensorsblock term decompositiondynamic community detectiontensor decompositiontensorsInternal MedicineAnalytical modelsgenerative modelHidden Markov modelsaivotutkimusEEGhidden Markov modelsGeneral Neurosciencefeature extractionbrain connectivityRehabilitation3112 Neurosciencesanalytical modelsElectroencephalographybrain modeling113 Computer and information sciencesTask analysistask analysisFeature extractionaivotelectroencephalography
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Assessing sediment connectivity in dendritic and parallel calanchi systems

2019

Abstract Calanchi, a type of Italian badlands created by a combination of water erosion processes and environmental constraints controlling their development, is a striking example of long-term landscape evolution. Sediment connectivity can be defined as the degree to which a system facilitates the fluxes of sediments through itself. The goal of this research is testing the use of simple morphometric variables for assessing sediment connectivity of calanchi landforms distinguishing between dendritic and parallel systems. For detecting the morphological characteristics controlling the sediment connectivity of calanchi basins, literature data (146 calanchi basins) and measurements carried out…

Calanchigeographygeography.geographical_feature_category010504 meteorology & atmospheric sciencesLandformDrainage basinSedimentHack's law04 agricultural and veterinary sciencesStructural basinMelton's law01 natural sciencesSystem aCumulative frequency distribution040103 agronomy & agricultureSettore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-Forestali0401 agriculture forestry and fisheriesSediment transportBasin scaleGeomorphologyGeologySediment connectivity0105 earth and related environmental sciencesEarth-Surface ProcessesCATENA
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Assessing connectivity in the presence of instantaneous causality

2014

This chapter is devoted to a discussion of the impact of instantaneous causality on the computation of frequency domain connectivity measures. Instantaneous causality (IC) refers to interactions between two observed time series which occur within the same time lag.

Causality (physics)Computer scienceEconometricsBrain connectivity causality
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Span Programs and Quantum Algorithms for st-Connectivity and Claw Detection

2012

We introduce a span program that decides st-connectivity, and generalize the span program to develop quantum algorithms for several graph problems. First, we give an algorithm for st-connectivity that uses O(n d^{1/2}) quantum queries to the n x n adjacency matrix to decide if vertices s and t are connected, under the promise that they either are connected by a path of length at most d, or are disconnected. We also show that if T is a path, a star with two subdivided legs, or a subdivision of a claw, its presence as a subgraph in the input graph G can be detected with O(n) quantum queries to the adjacency matrix. Under the promise that G either contains T as a subgraph or does not contain T…

Clawst-connectivitybusiness.industryA* search algorithm0102 computer and information sciences01 natural sciencesLogarithmic spacelaw.inventionCombinatorics010201 computation theory & mathematicslaw0103 physical sciencesQuantum algorithmAdjacency matrix010306 general physicsbusinessQuantumMathematicsSubdivision
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Trait impulsivity associated with altered resting-state functional connectivity within the somatomotor network

2020

Knowledge of brain mechanisms underlying self-regulation can provide valuable insights into how people regulate their thoughts, behaviors, and emotional states, and what happens when such regulation fails. Self-regulation is supported by coordinated interactions of brain systems. Hence, behavioral dysregulation, and its expression as impulsivity, can be usefully characterized using functional connectivity methodologies applied to resting brain networks. The current study tested whether individual differences in trait impulsivity are reflected in the functional architecture within and between resting-state brain networks. Thirty healthy individuals completed a self-report measure of trait im…

Cognitive NeuroscienceSensory systemSomatosensory systemImpulsivitylcsh:RC321-57103 medical and health sciencesBehavioral Neuroscience0302 clinical medicineBarratt Impulsiveness Scalemedicineresting statelcsh:Neurosciences. Biological psychiatry. NeuropsychiatryOriginal Research030304 developmental biology0303 health sciencestrait impulsivitymedicine.diagnostic_testResting state fMRIFunctional connectivityfunctional connectivitysomatomotor networkNeuropsychology and Physiological PsychologyTraitBarratt Impulsiveness Scalemedicine.symptomPsychologyFunctional magnetic resonance imagingNeuroscience030217 neurology & neurosurgeryNeuroscience
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An algorithm for the Rural Postman problem on a directed graph

1986

The Directed Rural Postman Problem (DRPP) is a general case of the Chinese Postman Problem where a subset of the set of arcs of a given directed graph is ‘required’ to be traversed at minimum cost. If this subset does not form a weakly connected graph but forms a number of disconnected components the problem is NP-Complete, and is also a generalization of the asymmetric Travelling Salesman Problem. In this paper we present a branch and bound algorithm for the exact solution of the DRPP based on bounds computed from Lagrangean Relaxation (with shortest spanning arborescence sub-problems) and on the fathoming of some of the tree nodes by the solution of minimum cost flow problems. Computation…

CombinatoricsRoute inspection problemArborescenceBranch and boundComputer scienceDirected graphMinimum-cost flow problemTravelling salesman problemTree (graph theory)ConnectivityMathematicsofComputing_DISCRETEMATHEMATICS
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On the WGSC Property in Some Classes of Groups

2009

The property of quasi-simple filtration (or qsf) for groups has been introduced in literature more than 10 years ago by S. Brick. This is equivalent, for groups, to the weak geometric simple connectivity (or wgsc). The main interest of these notions is that there is still not known whether all finitely presented groups are wgsc (qsf) or not. The present note deals with the wgsc property for solvable groups and generalized FC-groups. Moreover, a relation between the almost-convexity condition and the Tucker property, which is related to the wgsc property, has been considered for 3-manifold groups.

Combinatoricsalmost-convex groupsProperty (philosophy)Tucker propertySimple (abstract algebra)Solvable groupGeneral MathematicsFiltration (mathematics)FC-groups and nilpotent groupSettore MAT/03 - Geometriaweak geometric simple connectivityMathematicsMediterranean Journal of Mathematics
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Towards a Functional Explanation of the Connectivity LGN - V1

2016

The principles behind the connectivity between LGN and V1 are not well understood. Models have to explain two basic experimental trends: (i) the combination of thalamic responses is local and it gives rise to a variety of oriented Gabor-like receptive felds in V1 [1], and (ii) these filters are spatially organized in orientation maps [2]. Competing explanations of orientation maps use purely geometrical arguments such as optimal wiring or packing from LGN [3-5], but they make no explicit reference to visual function. On the other hand, explanations based on func- tional arguments such as maximum information transference (infomax) [6,7] usually neglect a potential contribution from LGN local…

Computational NeuroscienceV1connectivityLGNinformation maximization
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Distinct Patterns of Functional Connectivity During the Comprehension of Natural, Narrative Speech.

2020

Recent continuous task studies, such as narrative speech comprehension, show that fluctuations in brain functional connectivity (FC) are altered and enhanced compared to the resting state. Here, we characterized the fluctuations in FC during comprehension of speech and time-reversed speech conditions. The correlations of Hilbert envelope of source-level EEG data were used to quantify FC between spatially separate brain regions. A symmetric multivariate leakage correction was applied to address the signal leakage issue before calculating FC. The dynamic FC was estimated based on a sliding time window. Then, principal component analysis (PCA) was performed on individually concatenated and te…

Computer Networks and CommunicationsSpeech comprehension050105 experimental psychologyTask (project management)03 medical and health sciences0302 clinical medicineConnectomeNatural (music)Humans0501 psychology and cognitive sciencesNarrativeCerebral CortexPrincipal Component AnalysisNeuronal PlasticityResting state fMRIFunctional connectivity05 social sciencesElectroencephalographySignal Processing Computer-AssistedGeneral MedicineComprehensionSpeech PerceptionNerve NetPsychologyComprehension030217 neurology & neurosurgeryCognitive psychologyInternational journal of neural systems
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