Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia

The interplay between neurology and cardiology has gained significant attention in recent years, particularly regarding the shared pathophysiological mechanisms and clinical comorbidities observed in epilepsy and arrhythmias. Neuro-cardiac electrophysiology mapping involves the comprehensive assessm...

Full description

Bibliographic Details
Main Authors: Sidhartha G. Senapati, Aditi K. Bhanushali, Simmy Lahori, Mridula Sree Naagendran, Shreya Sriram, Arghyadeep Ganguly, Mounika Pusa, Devanshi N. Damani, Kanchan Kulkarni, Shivaram P. Arunachalam
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
Online Access:https://www.mdpi.com/2308-3425/10/10/433
_version_ 1797573455191736320
author Sidhartha G. Senapati
Aditi K. Bhanushali
Simmy Lahori
Mridula Sree Naagendran
Shreya Sriram
Arghyadeep Ganguly
Mounika Pusa
Devanshi N. Damani
Kanchan Kulkarni
Shivaram P. Arunachalam
author_facet Sidhartha G. Senapati
Aditi K. Bhanushali
Simmy Lahori
Mridula Sree Naagendran
Shreya Sriram
Arghyadeep Ganguly
Mounika Pusa
Devanshi N. Damani
Kanchan Kulkarni
Shivaram P. Arunachalam
author_sort Sidhartha G. Senapati
collection DOAJ
description The interplay between neurology and cardiology has gained significant attention in recent years, particularly regarding the shared pathophysiological mechanisms and clinical comorbidities observed in epilepsy and arrhythmias. Neuro-cardiac electrophysiology mapping involves the comprehensive assessment of both neural and cardiac electrical activity, aiming to unravel the intricate connections and potential cross-talk between the brain and the heart. The emergence of artificial intelligence (AI) has revolutionized the field by enabling the analysis of large-scale data sets, complex signal processing, and predictive modeling. AI algorithms have been applied to neuroimaging, electroencephalography (EEG), electrocardiography (ECG), and other diagnostic modalities to identify subtle patterns, classify disease subtypes, predict outcomes, and guide personalized treatment strategies. In this review, we highlight the potential clinical implications of neuro-cardiac mapping and AI in the management of epilepsy and arrhythmias. We address the challenges and limitations associated with these approaches, including data quality, interpretability, and ethical considerations. Further research and collaboration between neurologists, cardiologists, and AI experts are needed to fully unlock the potential of this interdisciplinary field.
first_indexed 2024-03-10T21:10:44Z
format Article
id doaj.art-5ac6088869564083864e1850fc6a7a79
institution Directory Open Access Journal
issn 2308-3425
language English
last_indexed 2024-03-10T21:10:44Z
publishDate 2023-10-01
publisher MDPI AG
record_format Article
series Journal of Cardiovascular Development and Disease
spelling doaj.art-5ac6088869564083864e1850fc6a7a792023-11-19T16:50:53ZengMDPI AGJournal of Cardiovascular Development and Disease2308-34252023-10-01101043310.3390/jcdd10100433Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and ArrhythmiaSidhartha G. Senapati0Aditi K. Bhanushali1Simmy Lahori2Mridula Sree Naagendran3Shreya Sriram4Arghyadeep Ganguly5Mounika Pusa6Devanshi N. Damani7Kanchan Kulkarni8Shivaram P. Arunachalam9Department of Internal Medicine, Texas Tech University Health and Sciences Center, El Paso, TX 79905, USADepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USADepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USADepartment of Internal Medicine, University of Connecticut, Farmington, CT 06030, USADivision of Gastroenterology & Hepatology, Mayo Clinic, Rochester, MN 55905, USADepartment of Internal Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, MI 49007, USAMamata Medical College, Khammam 507002, Telangana, IndiaDepartment of Internal Medicine, Texas Tech University Health and Sciences Center, El Paso, TX 79905, USAIHU-LIRYC, Heart Rhythm Disease Institute, Fondation Bordeaux Université, Pessac, 33600 Bordeaux, FranceDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USAThe interplay between neurology and cardiology has gained significant attention in recent years, particularly regarding the shared pathophysiological mechanisms and clinical comorbidities observed in epilepsy and arrhythmias. Neuro-cardiac electrophysiology mapping involves the comprehensive assessment of both neural and cardiac electrical activity, aiming to unravel the intricate connections and potential cross-talk between the brain and the heart. The emergence of artificial intelligence (AI) has revolutionized the field by enabling the analysis of large-scale data sets, complex signal processing, and predictive modeling. AI algorithms have been applied to neuroimaging, electroencephalography (EEG), electrocardiography (ECG), and other diagnostic modalities to identify subtle patterns, classify disease subtypes, predict outcomes, and guide personalized treatment strategies. In this review, we highlight the potential clinical implications of neuro-cardiac mapping and AI in the management of epilepsy and arrhythmias. We address the challenges and limitations associated with these approaches, including data quality, interpretability, and ethical considerations. Further research and collaboration between neurologists, cardiologists, and AI experts are needed to fully unlock the potential of this interdisciplinary field.https://www.mdpi.com/2308-3425/10/10/433epilepsyarrhythmiaelectrophysiology mappingautonomic nervous systemartificial intelligence
spellingShingle Sidhartha G. Senapati
Aditi K. Bhanushali
Simmy Lahori
Mridula Sree Naagendran
Shreya Sriram
Arghyadeep Ganguly
Mounika Pusa
Devanshi N. Damani
Kanchan Kulkarni
Shivaram P. Arunachalam
Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia
Journal of Cardiovascular Development and Disease
epilepsy
arrhythmia
electrophysiology mapping
autonomic nervous system
artificial intelligence
title Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia
title_full Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia
title_fullStr Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia
title_full_unstemmed Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia
title_short Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia
title_sort mapping of neuro cardiac electrophysiology interlinking epilepsy and arrhythmia
topic epilepsy
arrhythmia
electrophysiology mapping
autonomic nervous system
artificial intelligence
url https://www.mdpi.com/2308-3425/10/10/433
work_keys_str_mv AT sidharthagsenapati mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT aditikbhanushali mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT simmylahori mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT mridulasreenaagendran mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT shreyasriram mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT arghyadeepganguly mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT mounikapusa mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT devanshindamani mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT kanchankulkarni mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia
AT shivaramparunachalam mappingofneurocardiacelectrophysiologyinterlinkingepilepsyandarrhythmia