Search results for "brain networks"

showing 10 items of 17 documents

On the structural connectivity of large-scale models of brain networks at cellular level

2021

AbstractThe brain’s structural connectivity plays a fundamental role in determining how neuron networks generate, process, and transfer information within and between brain regions. The underlying mechanisms are extremely difficult to study experimentally and, in many cases, large-scale model networks are of great help. However, the implementation of these models relies on experimental findings that are often sparse and limited. Their predicting power ultimately depends on how closely a model’s connectivity represents the real system. Here we argue that the data-driven probabilistic rules, widely used to build neuronal network models, may not be appropriate to represent the dynamics of the …

0301 basic medicineProcess (engineering)Computer scienceScienceModels NeurologicalCellular levelMachine learningcomputer.software_genreArticle03 medical and health sciencesComputational biophysics0302 clinical medicineSettore MAT/05 - Analisi MatematicamedicineBiological neural networkHumansSettore MAT/07 - Fisica MatematicaOn the structural connectivity of large-scale models of brain networks at cellular levelSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNeuronsMultidisciplinaryNetwork modelsSettore INF/01 - Informaticabusiness.industryQRProbabilistic logicBrain030104 developmental biologymedicine.anatomical_structureMathematical framework Neuron networks Large‑scale model Data‑driven probabilistic rules Modeling cellular-level brain networksMedicineNeuronArtificial intelligencebusinessScale modelcomputer030217 neurology & neurosurgeryScientific Reports
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Retrieving infinite numbers of patterns in a spin-glass model of immune networks

2013

The similarity between neural and immune networks has been known for decades, but so far we did not understand the mechanism that allows the immune system, unlike associative neural networks, to recall and execute a large number of memorized defense strategies {\em in parallel}. The explanation turns out to lie in the network topology. Neurons interact typically with a large number of other neurons, whereas interactions among lymphocytes in immune networks are very specific, and described by graphs with finite connectivity. In this paper we use replica techniques to solve a statistical mechanical immune network model with `coordinator branches' (T-cells) and `effector branches' (B-cells), a…

0301 basic medicineSimilarity (geometry)Spin glassComputer sciencestatistical mechanicFOS: Physical sciencesGeneral Physics and AstronomyNetwork topologyTopology01 natural sciencesQuantitative Biology::Cell Behavior03 medical and health sciencesCell Behavior (q-bio.CB)0103 physical sciencesattractor neural-networks; statistical mechanics; brain networks; Physics and Astronomy (all)Physics - Biological Physics010306 general physicsAssociative propertybrain networkArtificial neural networkMechanism (biology)ErgodicityDisordered Systems and Neural Networks (cond-mat.dis-nn)Condensed Matter - Disordered Systems and Neural NetworksAcquired immune system030104 developmental biologyBiological Physics (physics.bio-ph)FOS: Biological sciencesattractor neural-networkQuantitative Biology - Cell Behavior
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Action in Perception: Prominent Visuo-Motor Functional Symmetry in Musicians during Music Listening.

2015

Musical training leads to sensory and motor neuroplastic changes in the human brain. Motivated by findings on enlarged corpus callosum in musicians and asymmetric somatomotor representation in string players, we investigated the relationship between musical training, callosal anatomy, and interhemispheric functional symmetry during music listening. Functional symmetry was increased in musicians compared to nonmusicians, and in keyboardists compared to string players. This increased functional symmetry was prominent in visual and motor brain networks. Callosal size did not significantly differ between groups except for the posterior callosum in musicians compared to nonmusicians. We conclude…

6162 Cognitive scienceAuditory perceptionAdultMalemusic perceptionINFORMATIONmedia_common.quotation_subjectSEGMENTATIONmotor brain networkslcsh:MedicineSensory systemINTERHEMISPHERIC-TRANSFERAuditory cortexCorpus callosumta3112corpus callosumCORTICAL REPRESENTATIONPerceptionNeuroplasticitymedicineHumansPLASTICITYlcsh:ScienceLIFE-SPANmedia_commonCOORDINATIONMultidisciplinarymedicine.diagnostic_testMusic psychologylcsh:Rfunctional symmetryCORPUS-CALLOSUM SIZEHUMAN BRAINRadiographyvisual brain networksta6131Auditory PerceptionFemalelcsh:QSensorimotor CortexPsychologyFunctional magnetic resonance imagingMusicAUDITORY-CORTEXCognitive psychologyResearch Articlemusical trainingPLoS ONE
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Discovering dynamic task-modulated functional networks with specific spectral modes using MEG.

2019

Efficient neuronal communication between brain regions through oscillatory synchronization at certain frequencies is necessary for cognition. Such synchronized networks are transient and dynamic, established on the timescale of milliseconds in order to support ongoing cognitive operations. However, few studies characterizing dynamic electrophysiological brain networks have simultaneously accounted for temporal non-stationarity, spectral structure, and spatial properties. Here, we propose an analysis framework for characterizing the large-scale phase-coupling network dynamics during task performance using magnetoencephalography (MEG). We exploit the high spatiotemporal resolution of MEG to m…

AdultMaleMovementcanonical polyadic decompositionlcsh:RC321-571Functional connectivitytensor decompositionNeural PathwaysConnectomeHumansaivotutkimuslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryCanonical polyadic decompositionMEGdynamic brain networksQuantitative Biology::Neurons and Cognitionsignaalinkäsittelyfunctional connectivityhermoverkot (biologia)BrainMagnetoencephalographySignal Processing Computer-AssistedMemory Short-TermTensor decompositionFrequency-specific oscillationsFemaleDynamic brain networksNerve NetFacial Recognitionfrequency-specific oscillationsNeuroImage
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Contributed discussion on article by Pratola [Comment on "M.T. Pratola, Efficient metropolis-hastings proposal mechanisms for Bayesian regression tre…

2016

Contains fulltext : 161650.pdf (Publisher’s version ) (Open Access) The author should be commended for his outstanding contribution to the literature on Bayesian regression tree models. The author introduces three innovative sampling approaches which allow for efficient traversal of the model space. In this response, we add a fourth alternative. 3 p.

Brain Networks and Neuronal Communication [DI-BCB_DCC_Theme 4]Cognitive artificial intelligence
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Adaptive Function and Brain Evolution

2012

Comparing brains is not a mere intellectual exercise but also helps to understand how the brain enables adaptive behavioral strategies to cope with an ever-changing world and how this complex organ has evolved during the phylogeny. For instance, comparative neurobiology helps understanding the specific features of our species, an issue that attracted scientists since the time of Santiago Ramon y Cajal. Following this tradition, 20 years ago Hans ten Donkelaar and Gerhard Roth started the European Conferences on Comparative Neurobiology (ECCN). This e-book includes some of the contributions to the last meeting, the sixth ECCN (Valencia, Spain; April 22-24 2010), plus selected works by severa…

Brain developmentMathematicsofComputing_GENERALNeuroscience (miscellaneous)GeneralLiterature_MISCELLANEOUSbrainstemlcsh:RC321-571lcsh:QM1-695Adaptive functioningInformationSystems_GENERALCellular and Molecular NeuroscienceComparative Neuroanatomylcsh:Neurosciences. Biological psychiatry. NeuropsychiatryDCN NN - Brain networks and neuronal communicationGeneralLiterature_REFERENCE(e.g.dictionariesencyclopediasglossaries)Cerebral CortexEvolutionary NeuroscienceCognitive scienceBrain DevelopmentEvolutionary neurosciencelcsh:Human anatomyNeuroanatomyEditorialForebrainAnatomyPsychologyClassicsFrontiers in Neuroanatomy
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Assessment of Functional Connectome in End-Stage Organ Disease Patients After Life-Threatening Surgery

2020

Purpose The purpose of this study was to assess the organization of intrinsic functional brain networks (functional connectome) in neurologically asymptomatic patients with end-stage organ disease who had undergone major surgery for life-threating conditions and compare it to a control group. Materials and Methods Resting-state functional magnetic resonance imaging (rest-fMRI) was performed in 10 adult, post-operative patients with end-stage organ disease. The patients (7 men, 3 women, mean age 57.9 ± 7.4 years) had undergone: n=4 coronary artery bypass graft for heart failure, n=2 orthotopic liver transplantation for non-alcoholic cirrhotic liver failure, n=3 mitral valve repair for heart …

Brain fMRI functional brain networks functional connectome end-stage organ diseaseSettore MED/36 - Diagnostica Per Immagini E Radioterapia
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EP 34. Functional hierarchy within the neural network for optokinetic ‘look’ nystagmus

2016

Item does not contain fulltext Key nodes of neural networks for ocular motor control and visual motion processing have been localized using saccades, smooth pursuit, and optokinetic nystagmus (OKN). Within the context of an independent fMRI study using OKN, 9 bilateral network nodes were localized comprising cortical eye fields in frontal (FEF), supplementary motor (SEF), cingulate (CEF) and parietal cortex (PEF), visual motion centers MT+ and V6, the superior colliculus (SC), the lateral geniculate nucleus (LGN) and the globus pallidus (GP). Here, we examined the network's functional hierarchy as present in the structural co-variation (SCoV) and resting-state (RS) fMRI, and the effect of R…

Communicationbusiness.industrySuperior colliculusPosterior parietal cortexCognitive artificial intelligenceOptokinetic reflexNystagmusLateral geniculate nucleuscomputer.software_genreSensory SystemsSmooth pursuitCorrelationBrain Networks and Neuronal Communication [DI-BCB_DCC_Theme 4]NeurologyVoxelPhysiology (medical)medicineNeurology (clinical)medicine.symptombusinessPsychologyNeurosciencecomputerClinical Neurophysiology
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Neuroimaging and electrophysiology meet invasive neurostimulation for causal interrogations and modulations of brain states.

2020

Deep brain stimulation (DBS) has developed over the last twenty years into a highly effective evidenced-based treatment option for neuropsychiatric disorders. Moreover, it has become a fascinating tool to provide illustrative insights into the functioning of brain networks. New anatomical and pathophysiological models of DBS action have accelerated our understanding of neurological and psychiatric disorders and brain functioning. The description of the brain networks arose through the unique ability to illustrate long-range interactions between interconnected brain regions as derived from state-of-the-art neuroimaging (structural, diffusion, and functional MRI) and the opportunity to record…

Deep brain stimulationBrain networksComputer scienceCognitive Neurosciencemedicine.medical_treatmentDeep Brain StimulationMicroelectrode recordingNeuroimagingLocal field potentialElectroencephalography050105 experimental psychologyDiffusion MRIlcsh:RC321-57103 medical and health sciences0302 clinical medicineNeuroimagingmedicineHumans0501 psychology and cognitive scienceslcsh:Neurosciences. Biological psychiatry. NeuropsychiatryNeurostimulationFunctional MRImedicine.diagnostic_test05 social sciencesBrainMagnetoencephalographyElectroencephalographyMagnetoencephalographyMagnetic Resonance ImagingPathophysiologyNeuromodulation (medicine)Structural MRIMicroelectrodeElectrophysiologyNeurologyNeuroscience030217 neurology & neurosurgeryDiffusion MRINeuroImage
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Structural brain network fingerprints of focal dystonia

2019

Background: Focal dystonias are severe and disabling movement disorders of a still unclear origin. The structural brain networks associated with focal dystonia have not been well characterized. Here, we investigated structural brain network fingerprints in patients with blepharospasm (BSP) compared with those with hemifacial spasm (HFS), and healthy controls (HC). The patients were also examined following treatment with botulinum neurotoxin (BoNT). Methods: This study included matched groups of 13 BSP patients, 13 HFS patients, and 13 HC. We measured patients using structural-magnetic resonance imaging (MRI) at baseline and after one month BoNT treatment, at time points of maximal and minim…

Dystoniagraph theory610 Medical sciencesblepharospasm610 Medizinbotulinum neurotoxinlcsh:Neurology. Diseases of the nervous systemlcsh:RC346-429Original ResearchMRIstructural brain networks
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