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Clinical Electrophysiology for Precision Diagnosis for Cardiology and Central Nervous...
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Clinical Electrophysiology for Precision Diagnosis for Cardiology and Central Nervous System Diseases

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Molecular and Translational Medicine".

Deadline for manuscript submissions: 31 March 2026 | Viewed by 6921

Special Issue Editors

Prof. Dr. Fátima Regina Mena Barreto Silva

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Guest Editor
1. Laboratory of Hormones & Signal Transduction, Departament of Biochemistry, Center of Biological Sciences, Campus Trindade, Federal University of Santa Catarina, Florianópolis 88040-900, SC, Brazil
2. Laboratory of Biochemistry and Pharmacology, Departament of Pharmacology and Physiology, Drug Research and Development Center (DRDC), Medical School, Federal University of Ceará, Rua Coronel Nunes de Melo, Fortaleza 60430-275, CE, Brazil
Interests: natural compounds; diabetes; infertility; cancer; central nervous system diseases; chronic diseases; medicinal plants; pain and analgesia
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Diana Marcela Aragon Novoa

E-Mail Website
Guest Editor
Departamento de Farmácia, Facultad de Ciencias, Universidad Nacional de Colombia, Cra. 30 45-03, Bogotá 111321, DC, Colombia
Interests: drug delivery system; microparticles; nanoparticles; self-emulsifying delivery; pharmacokinetics; extracts standardization; bioactive compounds
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are pleased to invite you to participate in this Special Issue to explore data related to multimodal electrophysiology of clinical interest. Electrophysiology constitutes the measurement of ionic flux, which can indicate whether a cell or tissue is healthy or sick. This approach is widely used and applied in cardiology (most publications referring to electrophysiology worldwide come from cardiology studies or diagnosis). However, despite its high precision and speed in diagnosis, this technique is not widely explored in the clinic to aid in disease diagnosis and drug development innovation, or for other fields. Thus, recognizing that ionic balance is pivotal for basic cellular activities such as secretion, key enzyme activities, cell-cycle control, and neurotransmission, this Special Issue focuses on, but is not restricted to, clinical electrophysiology as an approach to investigate signal transduction pathways involved in central nervous system diseases. Furthermore, research using artificial intelligence is encouraged, as this represents a rich array of tools and techniques that span multimodal analyses to high-dimensional data, in order to connect basic science data to clinical cases.

The aim of this Special Issue is to take advantage of this distinguished opportunity to explore precise molecular targets for diagnosis strategies (cardiology, central nervous system diseases) and to coordinate the development of drugs for specific pathologies by focusing on the clinical electrophysiology platform.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: cardiology and central nervous system diseases.

We look forward to receiving your contributions.

Prof. Dr. Fátima Regina Mena Barreto Silva
Prof. Dr. Diana Marcela Aragon Novoa
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Biomedicines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • brain
  • cardiology
  • precision medicine.

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Published Papers (3 papers)

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Research

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18 pages, 2999 KiB  
Communication
Quantifying Stress and Relaxation: A New Measure of Heart Rate Variability as a Reliable Biomarker
by Emese Rudics, András Buzás, Antónia Pálfi, Zoltán Szabó, Ádám Nagy, Emőke Adrienn Hompoth, József Dombi, Vilmos Bilicki, István Szendi and András Dér
Biomedicines 2025, 13(1), 81; https://doi.org/10.3390/biomedicines13010081 - 1 Jan 2025
Viewed by 4081
Abstract
Background/Objectives: For the rapid, objective characterization of the physiological stress response, there is currently no generally recognized standard. The stress measurement methods used in practice (e.g., for psychological measures of stress) are often subjective, or in the case of biological markers (e.g., cortisol, [...] Read more.
Background/Objectives: For the rapid, objective characterization of the physiological stress response, there is currently no generally recognized standard. The stress measurement methods used in practice (e.g., for psychological measures of stress) are often subjective, or in the case of biological markers (e.g., cortisol, amylase), they usually require a blood test. For this reason, the use of heart rate variability (HRV) to characterize stress has recently come to the fore. HRV is the variability in the length of heartbeat intervals, which indicates the ability of the heart to respond to various physiological and environmental stimuli. However, the conventional HRV metrics are not corrected for heart rate dependence; hence, they fail to fully account for the complex physiology of stress and relaxation. In order to remedy this problem, here we introduce a novel HRV parameter, the normalized variability derived from an RMSSD “Master Curve”, and we compare it with the conventional metrics. Methods: In Study 1, the relaxation state was induced either by heart rate variability biofeedback training (N = 21) or by habitual relaxation (N = 21), while in Study 2 (N = 9), the Socially Evaluated Cold Pressor Test and the Socially Evaluated Stroop Test were used to induce stress in the subject. For a statistical evaluation of the data, the Kolmogorov–Smirnov test was used to compare the distributions of mean HR, log(RMSSD), log(SDNN), and normalized variability before, during, and after relaxation and stress. Results: The results of this study indicate that while log(RMSSD) and log(SDNN) did not change significantly, the normalized variability did undergo a significant change both in relaxation states and in stress states induced by the Socially Evaluated Cold Pressor Test. Conclusions: Overall, we suggest this novel type of normalized variability ought to be used as a sensitive stress indicator, and in general, for the characterization of the complex processes of the vegetative nervous system. Full article
(This article belongs to the Special Issue Clinical Electrophysiology for Precision Diagnosis for Cardiology and Central Nervous System Diseases)
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11 pages, 824 KiB  
Article
Altered Brain Reactivity to Food Cues in Undergraduate Students with Disordered Eating Behaviors
by Joao C. Hiluy, Isabel A. David, Isabela Lobo, Filipe Braga, Thayane Fernandes, Naiane Beatriz Ferreira, Maria Francisca F. P. Mauro and Jose C. Appolinario
Biomedicines 2024, 12(8), 1656; https://doi.org/10.3390/biomedicines12081656 - 25 Jul 2024
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Abstract
Purpose: A growing body of evidence has shown that electroencephalography (EEG) is an interesting method of assessing the underlying brain physiology associated with disordered eating. Using EEG, we sought to evaluate brain reactivity to hyper-palatable food cues in undergraduate students with disordered eating [...] Read more.
Purpose: A growing body of evidence has shown that electroencephalography (EEG) is an interesting method of assessing the underlying brain physiology associated with disordered eating. Using EEG, we sought to evaluate brain reactivity to hyper-palatable food cues in undergraduate students with disordered eating behavior (DEB). Methods: After assessing the eating behaviors of twenty-six undergraduate students using the Eating Attitudes Test (EAT-26), electroencephalographic signals were recorded while the participants were presented with pictures of hyper-palatable food. The current study used a temporospatial principal component analysis (PCA) approach to identify event-related potential (ERP) responses that differed between DEB and non-DEB individuals. Results: A temporospatial PCA applied to the ERPs identified a positivity with a maximum amplitude at 347 ms at the occipital–temporal electrodes in response to pictures of hyper-palatable food. This positivity was correlated with the EAT-26 scores. Participants with DEB showed reduced positivities in this component compared with those without DEB. Conclusion: Our findings may reflect greater motivated attention toward hyper-palatable food cues in undergraduate students with DEB. These results are an important step toward obtaining a more refined understanding of specific abnormalities related to reactivity to food cues in this population. Full article
(This article belongs to the Special Issue Clinical Electrophysiology for Precision Diagnosis for Cardiology and Central Nervous System Diseases)
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Review

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9 pages, 577 KiB  
Review
Clinical Electrophysiology and Mathematical Modeling for Precision Diagnosis of Infertility
by Fernanda Carvalho Cavalari, Paola Sulis Mendes, Bruna Antunes Zaniboni, Carine Royer, Bárbara Ogliari Martins Taques, Karina Cesca, Marcela Aragón and Fátima Regina Mena Barreto Silva
Biomedicines 2025, 13(2), 250; https://doi.org/10.3390/biomedicines13020250 - 21 Jan 2025
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Abstract
How can cellular electrophysiology measurements and mathematical modeling of ionic channels help to identify pivotal targets in disease-related cell signaling? The purpose of this review is to highlight the advantages and disadvantages of using both of these complementary techniques to determine molecular targets [...] Read more.
How can cellular electrophysiology measurements and mathematical modeling of ionic channels help to identify pivotal targets in disease-related cell signaling? The purpose of this review is to highlight the advantages and disadvantages of using both of these complementary techniques to determine molecular targets that may be structurally or functionally altered in a specific disease. In addition, both electrophysiology measurements and mathematical modeling may improve coordinated drug development, accelerate the prediction of new drugs, and facilitate repositioning of pharmacological agents. This review focuses on the data obtained from electrophysiology and mathematical model approaches, including intracellular recording, cellular patch clamp measurements, and the Hodgkin and Huxley equation, as key precision methodologies. To this end, seminiferous tubules, the Sertoli cell line (TM4), and/or primary cultures of Sertoli cells were used to explore the role of follicle-stimulating hormone (FSH), thyroid hormones, retinol, testosterone, and 1,25(OH)2 vitamin D3 in the coordinated activation or inhibition of ionic channels essential for male fertility. Based on the discussed data, Sertoli cells precisely regulate their biological activity by coordinating channel activity according to the hormonal environment and the nutritional requirements required for germ cell development. Full article
(This article belongs to the Special Issue Clinical Electrophysiology for Precision Diagnosis for Cardiology and Central Nervous System Diseases)
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