The Role of Purkinje-Myocardial Coupling during Ventricular Arrhythmia: A Modeling Study
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{"title"=>"The role of purkinje-myocardial coupling during ventricular arrhythmia: A modeling study", "type"=>"journal", "authors"=>[{"first_name"=>"Elham", "last_name"=>"Behradfar", "scopus_author_id"=>"35762881800"}, {"first_name"=>"Anders", "last_name"=>"Nygren", "scopus_author_id"=>"56418950400"}, {"first_name"=>"Edward J.", "last_name"=>"Vigmond", "scopus_author_id"=>"6701757062"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84895729273", "pmid"=>"24516576", "sgr"=>"84895729273", "doi"=>"10.1371/journal.pone.0088000", "isbn"=>"1932-6203 (Electronic) 1932-6203 (Linking)", "issn"=>"19326203", "pui"=>"372543810"}, "id"=>"9bb73e76-16fb-328b-ba5b-7b207e554c73", "abstract"=>"The Purkinje system is the fast conduction network of the heart which couples to the myocardium at discrete sites called Purkinje-Myocyte Junctions (PMJs). However, the distribution and number of PMJs remains elusive, as does whether a particular PMJ is functional. We hypothesized that the Purkinje system plays a role during reentry and that the number of functional PMJs affect reentry dynamics. We used a computer finite element model of rabbit ventricles in which we varied the number of PMJs. Sustained, complex reentry was induced by applying an electric shock and the role of the Purkinje system in maintaining the arrhythmia was assessed by analyzing phase singularities, frequency of activation, and bidirectional propagation at PMJs. For larger junctional resistances, increasing PMJ density increased the mean firing rate in the Purkinje system, the percentage of successful retrograde conduction at PMJs, and the incidence of wave break on the epicardium. However, the mean firing of the ventricles was not affected. Furthermore, increasing PMJ density above 13/[Formula: see text] did not alter reentry dynamics. For lower junctional resistances, the trend was not as clear. We conclude that Purkinje system topology affects reentry dynamics and conditions which alter PMJ density can alter reentry dynamics.", "link"=>"http://www.mendeley.com/research/role-purkinjemyocardial-coupling-during-ventricular-arrhythmia-modeling-study", "reader_count"=>35, "reader_count_by_academic_status"=>{"Unspecified"=>2, "Professor > Associate Professor"=>4, "Researcher"=>8, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>2, "Professor > Associate Professor"=>4, "Researcher"=>8, "Student > Doctoral Student"=>4, "Student > Ph. D. Student"=>9, "Student > Postgraduate"=>1, "Student > Master"=>3, "Other"=>2, "Student > Bachelor"=>1, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>4, "Engineering"=>14, "Nursing and Health Professions"=>1, "Biochemistry, Genetics and Molecular Biology"=>1, "Mathematics"=>1, "Medicine and Dentistry"=>7, "Agricultural and Biological Sciences"=>2, "Physics and Astronomy"=>2, "Psychology"=>1, "Computer Science"=>2}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>14}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Physics and Astronomy"=>{"Physics and Astronomy"=>2}, "Psychology"=>{"Psychology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Computer Science"=>{"Computer Science"=>2}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>1}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>4}}, "reader_count_by_country"=>{"South Korea"=>1, "United States"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1378986"], "description"=>"<p>A) Sensitivity of average MFR in Purkinje system to the size of PMJ B) Sensitivity of WBI on epicardium to size of PMJ ( = 20 M).</p>", "links"=>[], "tags"=>["Anatomy and physiology", "electrophysiology", "Computational biology", "Model organisms", "Animal models", "Computer modeling", "Computerized simulations", "Bioengineering", "Biomedical Engineering", "cardiovascular", "arrhythmias", "Clinical research design", "modeling", "pmj"], "article_id"=>928411, "categories"=>["Biological Sciences", "Medicine", "Engineering"], "users"=>["Elham Behradfar", "Anders Nygren", "Edward J. Vigmond"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088000.g007", "stats"=>{"downloads"=>2, "page_views"=>27, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_PMJ_size_on_reentr_/928411", "title"=>"Effects of PMJ size on reentr.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 14:43:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/1378985"], "description"=>"<p>A) Ratio of successful retrograde propagations to failed and successful retrograde propagations as a function of PMJ resistance B) Sensitivity of average Mean Firing Rate in Purkinje system to the resistance of PMJ C) Sensitivity of WBI on epicardium to resistance of PMJ ( = 20).</p>", "links"=>[], "tags"=>["Anatomy and physiology", "electrophysiology", "Computational biology", "Model organisms", "Animal models", "Computer modeling", "Computerized simulations", "Bioengineering", "Biomedical Engineering", "cardiovascular", "arrhythmias", "Clinical research design", "modeling", "pmj"], "article_id"=>928410, "categories"=>["Biological Sciences", "Medicine", "Engineering"], "users"=>["Elham Behradfar", "Anders Nygren", "Edward J. Vigmond"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088000.g006", "stats"=>{"downloads"=>3, "page_views"=>20, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Effects_of_PMJ_resistance_on_reentry_/928410", "title"=>"Effects of PMJ resistance on reentry.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 14:43:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/1378980"], "description"=>"<p>A) new model of Purkinje network consists of manually constructed branches (red) and extended branches (blue) B) Purkinje system model with lowest PMJ density (74 PMJs) and its activation map for His bundle stimulation C) Purkinje system model with highest PMJ density (516 PMJs) and its isochronal activation map.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "electrophysiology", "Computational biology", "Model organisms", "Animal models", "Computer modeling", "Computerized simulations", "Bioengineering", "Biomedical Engineering", "cardiovascular", "arrhythmias", "Clinical research design", "modeling", "purkinje"], "article_id"=>928405, "categories"=>["Biological Sciences", "Medicine", "Engineering"], "users"=>["Elham Behradfar", "Anders Nygren", "Edward J. Vigmond"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088000.g001", "stats"=>{"downloads"=>10, "page_views"=>159, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_3D_model_of_Purkinje_network_/928405", "title"=>"3D model of Purkinje network.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 14:43:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/1378984"], "description"=>"<p>A) Portion of successful junctional propagations as a function of PMJ density B) Average MFR in ventricles and Purkinje system as a function of PMJ density C) WBI on epicardium and endocardium as a function of PMJ density ( = 20 M,  = 20).</p>", "links"=>[], "tags"=>["Anatomy and physiology", "electrophysiology", "Computational biology", "Model organisms", "Animal models", "Computer modeling", "Computerized simulations", "Bioengineering", "Biomedical Engineering", "cardiovascular", "arrhythmias", "Clinical research design", "modeling", "reentry", "pmj"], "article_id"=>928409, "categories"=>["Biological Sciences", "Medicine", "Engineering"], "users"=>["Elham Behradfar", "Anders Nygren", "Edward J. Vigmond"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088000.g005", "stats"=>{"downloads"=>1, "page_views"=>21, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Changes_in_reentry_dynamics_as_a_function_of_PMJ_density_/928409", "title"=>"Changes in reentry dynamics as a function of PMJ density.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 14:43:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/1378982"], "description"=>"<p>Excitation of the ventricular myocardium by the Purkinje system during sinus rhythm for Purkinje system models with three different numbers of PMJ as indicated on the left. Activation time since His bundle stimulation is scaled between earliest and last epicardial activation over all simulations.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "electrophysiology", "Computational biology", "Model organisms", "Animal models", "Computer modeling", "Computerized simulations", "Bioengineering", "Biomedical Engineering", "cardiovascular", "arrhythmias", "Clinical research design", "modeling", "maps", "pmj"], "article_id"=>928407, "categories"=>["Biological Sciences", "Medicine", "Engineering"], "users"=>["Elham Behradfar", "Anders Nygren", "Edward J. Vigmond"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088000.g003", "stats"=>{"downloads"=>6, "page_views"=>51, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Activation_maps_for_different_PMJ_densities_/928407", "title"=>"Activation maps for different PMJ densities.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 14:43:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/1378983"], "description"=>"<p>A) Rotors on the epicardium surface along with phase singularities indicated by red asterisks. B) Filaments in ventricles colocalized with Purkinje system endpoints. I-shaped filaments which terminate close to Purkinje system endpoints are shown in green, and O-shaped filaments which formed close to Purkinje system endpoints are indicated in orange. Surface phase singularities are as in A.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "electrophysiology", "Computational biology", "Model organisms", "Animal models", "Computer modeling", "Computerized simulations", "Bioengineering", "Biomedical Engineering", "cardiovascular", "arrhythmias", "Clinical research design", "modeling"], "article_id"=>928408, "categories"=>["Biological Sciences", "Medicine", "Engineering"], "users"=>["Elham Behradfar", "Anders Nygren", "Edward J. Vigmond"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088000.g004", "stats"=>{"downloads"=>0, "page_views"=>47, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Purkinje_system_contribution_during_reentry_/928408", "title"=>"Purkinje system contribution during reentry.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 14:43:19"}
  • {"files"=>["https://ndownloader.figshare.com/files/1378981"], "description"=>"<p>A) successful retrograde propagation, B) failed retrograde propagation C) failed anterograde propagation D) successful anterograde propagation.</p>", "links"=>[], "tags"=>["Anatomy and physiology", "electrophysiology", "Computational biology", "Model organisms", "Animal models", "Computer modeling", "Computerized simulations", "Bioengineering", "Biomedical Engineering", "cardiovascular", "arrhythmias", "Clinical research design", "modeling", "conduction"], "article_id"=>928406, "categories"=>["Biological Sciences", "Medicine", "Engineering"], "users"=>["Elham Behradfar", "Anders Nygren", "Edward J. Vigmond"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0088000.g002", "stats"=>{"downloads"=>1, "page_views"=>48, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Instances_of_conduction_success_and_failure_at_one_PMJ_/928406", "title"=>"Instances of conduction success and failure at one PMJ.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-02-07 14:43:19"}

PMC Usage Stats | Further Information

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