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: 20 October 2024 | Viewed by 700

Special Issue Editors


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Institute of Cellular Bioelectricity (IBIOCEL): Science & Health, Departament of Biochemistry, Center of Biological Sciences, Campus Trindade, Federal University of Santa Catarina, Florianópolis 88040-900, SC, Brazil
Interests: natural compounds; diabetes; infertility; cancer; central nervous system diseases; chronic diseases; medicinal plants; pain and analgesia
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Departamento de Farmácia, Facultad de Ciencias, Universidad Nacional de Colombia, Cra. 30 45-03, Bogotá 111321, DC, Colombia
Interests: drug delivery; pharmacokinetics; microparticles; nanoparticles; self-emulsifying delivery; extracts standardization, bioactive compounds
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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

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Keywords

  • brain
  • cardiology
  • precision medicine.

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Published Papers (1 paper)

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Research

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
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