Evidence map›Paper›PMID 37887880›Full record

ReviewJournal of cardiovascular development and disease2023

Mapping of Neuro-Cardiac Electrophysiology: Interlinking Epilepsy and Arrhythmia.

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

Open access · goldAbstract readReview
In one paragraph

Review in Journal of cardiovascular development and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Electrocardiographic abnormalities in epilepsy: analysis of cardiac conduction patterns and SUDEP Risk.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 3 countries.

Sidhartha G SenapatiDepartment of Internal Medicine, Texas Tech University Health and Sciences Center, El Paso, TX 79905, USA.
Aditi K BhanushaliDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Simmy LahoriDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.
Mridula Sree NaagendranDepartment of Internal Medicine, University of Connecticut, Farmington, CT 06030, USA.
Shreya SriramDivision of Gastroenterology & Hepatology, Mayo Clinic, Rochester, MN 55905, USA.
Arghyadeep GangulyDepartment of Internal Medicine, Western Michigan University Homer Stryker MD School of Medicine, Kalamazoo, MI 49007, USA.
Mounika PusaMamata Medical College, Khammam 507002, Telangana, India.
Devanshi N DamaniDepartment of Internal Medicine, Texas Tech University Health and Sciences Center, El Paso, TX 79905, USA.
Kanchan KulkarniIHU-LIRYC, Heart Rhythm Disease Institute, Fondation Bordeaux Université, Pessac, 33600 Bordeaux, France.ORCID 0000-0002-3185-0484
Shivaram P ArunachalamDepartment of Radiology, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0003-3251-5415
Mayo Clinic · USTexas Tech University · USMamata Medical College · INMayo Clinic in Arizona · USUniversité de Bordeaux · FRUniversity of Connecticut · USWestern Michigan University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

arrhythmiaartificial intelligenceautonomic nervous systemelectrophysiology mappingepilepsy

Identifiers

PMID37887880
PMCPMC10607576
OpenAlexW4387744517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.