scispace - formally typeset
Search or ask a question

Is bachmann bundle a driver of atrial fibrillation fue tonfiber orientation? 

Refractory period
Atrioventricular node
Catheter ablation
Bachmann's bundle
Interatrial septum
Best insight from top research papers

Bachmann's bundle (BB) is recognized as a crucial structure in atrial fibrillation (AF) due to its role in interatrial conduction and arrhythmogenesis. Studies have shown that BB can be a driver of AF through its unique anatomical and electrophysiological properties, such as conduction velocity and activation patterns . Disruption of BB can lead to interatrial conduction block and subsequent development of atrial tachyarrhythmias . Additionally, interventions targeting BB, such as surgical isolation or ablation, have shown promise in reducing AF relapses and maintaining sinus rhythm in patients with AF . Therefore, BB's structural characteristics and its impact on atrial conduction make it a significant contributor to AF pathophysiology, potentially influenced by fiber orientation and conduction disturbances .

Answers from top 5 papers

More filters
Papers (5)Insight
Open access•Journal Article•DOI
Targeting Bachmann's bundle in hybrid ablation for long-standing persistent atrial fibrillation: a proof of concept study.
Giuseppe De Martino, Giuseppe Nasso, Alessio Gasperetti, Marco Moscarelli, Carmine Mancusi, Giuseppe Della Ratta, Claudia Calvanese, Gianfranco Mitacchione, Raffaele Bonifazi, Nicola Di Bari, Enrico Vassallo, Marco Schiavone, Mario Gaudino, Giovanni Battista Forleo, Giuseppe Speziale 
08 Mar 2021-Journal of Interventional Cardiac Electrophysiology
4 Citations
Bachmann's bundle is implicated in sustaining arrhythmic reentry in atrial fibrillation, making it a potential target in hybrid ablation for long-standing persistent atrial fibrillation.
Open access•Journal Article•DOI
Effect of right and left-sided programmed atrial extrasystoles on conduction across Bachmanns Bundle and initiation of atrial fibrillation
Mathijs S. van Schie, NL Ramdat Misier, Paul Knops, Annejet Heida, Rohit K. Kharbanda, Yjhj Taverne, N. M. S. de Groot 
24 May 2023-Europace
Premature atrial extrasystoles affect Bachmann's bundle conduction, contributing to atrial fibrillation initiation regardless of their origin, indicating its role in AF independent of fiber orientation.
Open access•Journal Article•DOI
Bachmann's bundle: a key player in the development of atrial fibrillation?
Margo J.H. van Campenhout, Ameeta Yaksh, Charles Kik, Peter de Jaegere, Siew Yen Ho, Maurits A. Allessie, Natasja M.S. de Groot 
01 Oct 2013-Circulation-arrhythmia and Electrophysiology
67 Citations
Bachmann's bundle's fiber orientation may contribute to atrial fibrillation development, as its disruption causes conduction block associated with various atrial arrhythmias and left atrial dysfunction.
Journal Article•DOI
A modified surgical ablation line for atrial fibrillation. The Bachmann line.
Giuseppe Nasso, Giuseppe De Martino, Marco Moscarelli, Raffaele Bonifazi, Mario Gaudino, Nicola Di Bari, Giuseppe Speziale 
25 Apr 2020-Journal of Cardiac Surgery
3 Citations
Bachmann's bundle may contribute to atrial fibrillation genesis. Surgical isolation of Bachmann's bundle, along with pulmonary veins, can reduce atrial fibrillation relapses, as per the research.
Journal Article•DOI
Conduction velocity mapping in Bachmann Bundle using Omnipolar Technology
Giovanni Volpato, Michela Casella, Paolo Compagnucci, Y. Valeri, Q. Parisi, Laura Cipolletta, Laura Carboni, Barbara Bondavalli, V. La Piscopia, Loredana Messano, Jenny Ricciotti, Federico Guerra, Antonio Dello Russo 
18 May 2022
Bachmann's bundle is crucial in atrial fibrillation. Omnipolar Technology can map conduction velocity, aiding in identifying high-speed areas. Fiber orientation's role in AF is not addressed in the paper.

Related Questions

Is the perpendicular fiber orientation change from the bachmann bundle to the left atria a driver of atrial fibrilation?4 answersThe perpendicular fiber orientation change from Bachmann's Bundle (BB) to the left atria is indeed a significant factor in atrial fibrillation (AF) initiation and perpetuation. Studies have shown that premature atrial extrasystoles (AES) originating from various atrial sites, including the left atrial appendage (LAA), can provoke conduction disorders through BB, leading to AF development. Additionally, high-resolution mapping has revealed that a complete transverse line of conduction block across BB is associated with advanced interatrial block (a-IAB), a precursor to AF. Pacing from different atrial sites, such as the right atrial appendage (RAA) and the inferior right atrium, has been shown to impact conduction at BB, with pacing from the inferior right atrium resulting in reduced conduction disorders and total activation time compared to other sites. Therefore, the perpendicular fiber orientation change at BB plays a crucial role in AF pathogenesis.
What is the impact of right atrial function von cardiac power?5 answersRight atrial (RA) function plays a crucial role in cardiac power and patient outcomes. Impaired RA function, particularly the conduit function, has been linked to major adverse cardiac events (MACE) post-acute myocardial infarction (AMI) independently of right ventricular (RV) function. In patients with heart failure (HF), lower RA emptying fraction (RAEF) and increased RA volume index (RAVI) are associated with adverse events, highlighting the significance of RA function in chronic HF populations. Moreover, in precapillary pulmonary hypertension (PH), the RA function index (RAFi) is a strong predictor of clinical failure, improving prognostic power when combined with other established predictors. Therefore, assessing RA function, especially the conduit function and related parameters, is essential for evaluating cardiac power and predicting outcomes in various cardiac conditions.
How is an atrial thrombus seen on transthoracic echo vs tumour?5 answersAn atrial thrombus seen on transthoracic echocardiography appears as a mass within the right atrium, often associated with conditions like renal cell carcinoma or hepatocellular carcinoma. In contrast, a tumoral thrombus in the right atrium is typically a result of tumor extension from renal cell carcinoma or Wilms' tumor, presenting as a solid mass originating from the tumor in the inferior vena cava. Transthoracic echocardiography is crucial in detecting these masses, aiding in the diagnosis and monitoring of patients with atrial thrombi or tumor thrombi in the right atrium. The differentiation between an atrial thrombus and a tumoral thrombus is essential for determining the appropriate treatment strategy and surgical approach in cases of renal or hepatic malignancies with atrial involvement.
How do fibrillar aggregates form in benzene-1,3,5-tricarboxamide (BTA) based molecules?5 answersFibrillar aggregates in benzene-1,3,5-tricarboxamide (BTA) based molecules form through self-assembly processes. The formation of these aggregates is influenced by various factors such as the structure of the molecule, the presence of specific functional groups, and the nature of the solvent. For example, the presence of small non-bulky terminal amine salt in BTA derivatives induces self-assembly into twisted one-dimensional higher-order nanofibers. Additionally, the presence of appropriate metal ions can promote the formation of long and stable filaments with a cross-sectional diameter of 12 nm. The self-assembly behavior of BTA molecules can also be influenced by the presence of alkyl chains and polyethylene glycol (PEG) chains, resulting in the formation of distinct nanostructures such as micelles, nanotapes, and nanoribbons. Overall, the self-assembly of BTA molecules into fibrillar aggregates is a complex process that depends on multiple factors and can lead to the formation of diverse nanostructures with different morphologies and functionalities.
What is Beck´s tree inventorio?2 answersBeckett's tree inventorio is not mentioned in any of the provided abstracts.
How to turn on noise Cancelling on Bose Soundsport?9 answers

See what other people are reading

Why machine learning in predicting atrial fibrillation is better than ECG?
5 answers
Machine learning in predicting atrial fibrillation (AF) is superior to ECG-based methods due to its ability to leverage genetic variations, ECG signals, and clinical data for more accurate risk assessments and detection. Machine learning models can incorporate diverse data sources, such as genetic markers and radiomics features, enhancing prediction accuracy and identifying individuals at risk for AF more effectively than traditional ECG-based approaches. Additionally, machine learning algorithms can handle large datasets efficiently, improving discrimination and calibration in predicting new-onset AF, especially when sample sizes are substantial. By combining ECG signals with genetic and clinical information, machine learning models offer a comprehensive approach to AF prediction, outperforming standalone ECG-based methods and providing valuable tools for personalized patient care and early detection of AF.What is an ECG?
5 answers
An electrocardiogram (ECG) is a diagnostic test that records the heart's electrical activity by placing electrodes on the body's surface. It is a simple yet crucial procedure for monitoring and diagnosing cardiac conditions. ECGs have a history of over 100 years and are widely used in primary healthcare settings to study heart diseases and guide clinical decisions. The ECG involves measuring potential differences between different points on the body to capture the heart's electrical impulses. With advancements in technology, ECG systems have become portable and can transmit data over the internet, enabling remote monitoring and analysis. Overall, an ECG provides valuable insights into the heart's functioning, helping healthcare professionals interpret abnormalities, guide treatment decisions, and reassure patients about their cardiac health.What are the management of atrial fibrillation?
5 answers
The management of atrial fibrillation (AF) involves a multifaceted approach. Guidelines emphasize treating risk factors and concomitant diseases, along with preventing thromboembolic complications using oral anticoagulants or vitamin K antagonists based on individual risk assessment. Early detection is crucial, especially in hypertensive patients, who have a higher likelihood of AF. A systematic screening for AF is recommended in patients over 65 years with cardiovascular diseases, including hypertension. For patients undergoing transcatheter aortic valve replacement, managing AF involves rate and rhythm control strategies with medications, newer oral anticoagulants, and left atrial occlusion devices to prevent stroke post-procedure. Overall, a comprehensive approach combining risk factor management, lifestyle modifications, and early rhythm control therapy is essential in the management of AF.Pulmonary Vein Isolation Before MitraClip?
4 answers
Pulmonary vein isolation (PVI) is a crucial procedure for treating atrial fibrillation (AF). Studies have shown that PVI can lead to inexcitability in a majority of pulmonary veins (PVs), with increased effective refractory period (ERP) and capture threshold in excitable PVs. Adjuvant ablation beyond PVI has been proposed to enhance procedural success rates, especially in persistent AF cases. Novel technologies like the multi-electrode radiofrequency Balloon catheter have been developed to achieve safe and effective single-shot PVI. Additionally, the use of non-fluoroscopic virtual mapping systems has been explored to guide complex arrhythmia ablation procedures, potentially reducing the need for X-ray exposure. Therefore, considering the advancements in PVI techniques and the potential benefits of adjuvant ablation, performing PVI before MitraClip insertion may be beneficial in managing AF in patients requiring both interventions.What is an ECG?
5 answers
An electrocardiogram (ECG) is a non-invasive method that records the electrical activity of the heart by measuring the electrical potential generated by the heart on the skin. ECG data is unique to each individual and can be utilized for authentication systems or granting access to devices by comparing extracted features to a user template. ECG is crucial in diagnosing cardiac conditions, monitoring heart activity, and assessing cardiovascular health. It involves placing electrodes on the body to capture and display cardiac electrical activity, aiding in determining heart rate, rhythm abnormalities, and identifying heart conditions like coronary artery disease. ECGs are essential in various medical settings, from clinics to intensive care units, providing real-time health information and aiding in continuous monitoring during surgeries.What does euroheart do?
5 answers
EuroHeart, a project by the European Society of Cardiology, aims to establish standardized data definitions for various cardiovascular conditions to enhance quality of care assessment, patient outcome evaluation, and facilitate research. By developing harmonized data standards through systematic literature reviews, consensus-building processes like the Delphi method, and collaboration with international experts, EuroHeart enables the collection of patient data for quality improvement, observational studies, drug and device surveillance, and registry-based randomized controlled trials across Europe. These data standards cover a range of cardiovascular diseases, including atrial fibrillation/flutter, heart failure, acute coronary syndrome, percutaneous coronary intervention, and transcatheter aortic valve implantation, providing a comprehensive framework for standardized data collection and analysis in the field of cardiology.Antitachycardia pacing in ICDs and CRT-Ds?
5 answers
Antitachycardia pacing (ATP) is a crucial therapy provided by implantable cardioverter defibrillators (ICDs) and cardiac resynchronization therapy defibrillators (CRT-Ds) to manage ventricular arrhythmias effectively. Studies highlight the significance of optimal ATP programming to reduce inappropriate therapies and enhance patient outcomes. Moreover, the development of intrinsic ATP algorithms, like iATP, offers tailored and automatic ATP for each ventricular tachycardia episode, showcasing promising results in terminating multiple VTs with varying cycle lengths and morphologies. These advancements in ATP technology aim to improve therapy efficacy, reduce unnecessary shocks, and enhance patient safety by providing individualized and effective treatment for ventricular arrhythmias in patients with ICDs and CRT-Ds.What were the exclusion criteria for hybrid IST ablation?
4 answers
The exclusion criteria for hybrid IST ablation included studies with less than ten patients, follow-up periods of less than three months, and procedures not involving minimally invasive beating heart surgery or transcatheter ablation either staged or as a single procedure for lone AF treatment. Patients with paroxysmal AF and minimal structural heart disease were often excluded from hybrid ablation studies, as the focus was on persistent or long-standing persistent AF refractory to pharmacological or routine catheter ablation. The analysis of hybrid ablation studies encompassed patients with an average history of AF lasting around 5 years, with the primary endpoint being freedom from atrial arrhythmias without antiarrhythmic drugs for at least 30 seconds.Why is there a conduction delay between atria and ventricle?
4 answers
The conduction delay between the atria and ventricles is primarily due to the specialized conduction system (SCS) of the heart, which orchestrates the synchronization of atrial and ventricular contractions. This delay is influenced by factors such as the atrioventricular node (AVN) and delays between Purkinje fibers (PFs) and ventricular depolarization at distinct junctions (PVJs). Conditions like atrial conduction delay can lead to hemodynamic effects, impacting atrial contraction during systole. Interatrial conduction disorders, often seen in structural heart diseases, can cause delays and contribute to the initiation and maintenance of atrial arrhythmias. Additionally, an interatrial conduction delay may be present in patients with certain cardiac syndromes, affecting atrioventricular synchrony. Atrial septal defects (ASDs) can also lead to conduction abnormalities, resulting in tachyarrhythmias due to altered atrial electromechanical delays.How does obstructive sleep apnea increase the risk of stroke?
5 answers
Obstructive sleep apnea (OSA) increases the risk of stroke through various mechanisms. OSA is associated with left atrial remodeling, which heightens the thromboembolic risk of atrial fibrillation and stroke. Additionally, OSA is a well-established independent risk factor for stroke, with mechanisms including intermittent hypoxia, sympathetic activation, and systemic inflammation. Patients with untreated OSA have higher stroke rates, while treating OSA reduces stroke risk and improves outcomes post-stroke. Furthermore, OSA is prevalent in patients with cerebrovascular disease, emphasizing its role in stroke occurrence. Factors like obesity and hypertension can exacerbate OSA, further increasing the risk of stroke. Overall, OSA poses a bidirectional risk for stroke, making its management crucial in stroke prevention and treatment.How effective are machine learning algorithms in predicting atrial fibrillation compared to traditional methods?
5 answers
Machine learning algorithms have shown superior effectiveness in predicting atrial fibrillation (AF) compared to traditional methods. Studies have demonstrated the benefits of machine learning in risk prediction for new-onset postoperative AF after valve surgery, in developing predictive models for 1-year AF risk in older patients, and in accurately detecting AF using power spectral features from ECG recordings. Additionally, machine learning models have been successful in predicting 1-year arrhythmic recurrence after catheter ablation with good performance. Random Forest, XGBoost, and Support Vector Machines have been highlighted as particularly effective algorithms for AF prediction, outperforming traditional logistic regression models. These findings underscore the potential of machine learning in enhancing AF prediction accuracy and patient care.