grant

Electrical Activity Patterns in Onset and Cessation of Atrial Fibrillation

Organization UNIVERSITY OF MICHIGAN AT ANN ARBORLocation ANN ARBOR, UNITED STATESPosted 25 Mar 2022Deadline 28 Feb 2027
NIHUS FederalResearch GrantFY2025AblationAccelerationAccessory SinusesAlgorithmsAmericanAnatomic SitesAnatomic structuresAnatomyAnti-Arrhythmia AgentsAnti-Arrhythmia DrugsAnti-ArrhythmicsAppearanceAreaArrhythmiaAtrialAtrial FibrillationAuricular FibrillationAutomobile DrivingBody TissuesCardiac ArrhythmiaCardiac AtriumCharacteristicsClinicalCollectionComplexComputer ModelsComputer SimulationComputer based SimulationComputerized ModelsCryoablationCryosurgeryDataDevelopmentDevicesDrug TherapyEndocardiumEpicardiumFrequenciesFutureHeartHeart ArrhythmiasHeart AtriumHeterogeneityHistologyIndividualInterventionInvestigationLeadLinkLong-Term EffectsMaintenanceMapsMethodsModalityModelingMorbidityMorbidity - disease rateNasal SinusesNasal cavity/ParanasalNasal cavity/Paranasal sinusesNatureOpticsOvineOvisParanasal SinusesPatientsPatternPb elementPersonsPharmacological TreatmentPharmacotherapyPlayPopulationPrevalencePropertyProteomicsRiskRoleSheepSinusSiteSolidStretchingTachycardiaTestingTherapeuticTherapeutic InterventionTimeTissuesarrhythmic agentatriumcomputational modelingcomputational modelscomputational simulationcomputer based modelscomputerized data processingcomputerized modelingcomputerized simulationdata processingdevelopmentaldrivingdrug interventiondrug treatmentelectrical propertyembolic strokeheavy metal Pbheavy metal leadhuman datahuman modelimprovedintervention therapymodel of humanmortalitynovelopticalovine animal modelovine modelpharmaceutical interventionpharmacologicpharmacological interventionpharmacological therapypharmacology interventionpharmacology treatmentpharmacotherapeuticspreventpreventingreconstructionrisk stratificationsheep modelsocial rolestratify riskstructural determinantsstructural factorssuccess
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Full Description

PROJECT SUMMARY/ABSTRACT
This project aims at developing, validating and using novel mapping approaches to enhance the understanding

of excitation dynamics in early atrial fibrillation (AF) to potentially improve its treatment. AF is a progressive

arrhythmia afflicting more than 2.5 million Americans and 33 million worldwide; it increases risks for morbidity

and mortality and is the leading cause of embolic stroke. For patients with AF, anti-arrhythmic drugs perform

poorly and ablation, with controversial success rate and long-term effects, is often the only therapy available. It

is generally accepted AF initiates as short paroxysmal episodes that get prolonged, more complex and more

challenging for therapy with time. Thus, advancing our understanding of the mechanisms of the arrhythmia and

how to device better therapies for it at its very early stage are of paramount importance. It is also accepted that

the alterations promoting the onset and regulating the maintenance of fibrillation have significant regional as well

as inter-patient heterogeneity requiring extensive mapping. It is therefore the general objective of this proposal

to develop novel mapping approaches to improve characterization of mechanisms underlying the link between

atria-wide patterns of electrical activation initiating AF and the heterogeneous atrial substrate. The proposed

project will utilize detailed computer simulations and novel panoramic intracardiac optical mapping in isolated

sheep hearts, together with our new developments in singular value decomposition and reconstruction (SVDR)

of hierarchical energy modes, to test the general hypothesis that onset and cessation of highly dynamic patterns

of electrical activity during early AF can be predicted by the substrate heterogeneity and by local energy analysis

of the activity. Our specific aims are: (1) To demonstrate in computational models of the atria the mechanistic

links between transient activation patterns during early AF and the stationary energetic properties of the

substrate and activity. (2) To utilize a novel panoramic optical mapping and SVDR algorithms to demonstrate

the characteristics of dynamical activation patterns during initiation and early stabilization of sympathetic, vagal,

and stretched induced AF in the sheep isolated heart. (3) To demonstrate that SVDR and energy domain

parametrization of AF can localize targets for interventions to render the AF in the isolated sheep hearts non-

inducible. Accordingly, regions with maximal energy will be localized in the real-time across the entire atria and

their role in sustaining the AF will be tested by local and reversible cryo-ablation applications. Accomplishing our

aims will enhance understanding of early AF and provide solid new framework for mapping AF dynamics in

patients to potentially improve its therapy.

Grant Number: 5R01HL156961-04
NIH Institute/Center: NIH

Principal Investigator: OMER BERENFELD

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