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Bioengineering
Special Issues
New Sights of EEG and Brain Diseases: Updates and Directions
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New Sights of EEG and Brain Diseases: Updates and Directions

A special issue of Bioengineering (ISSN 2306-5354). This special issue belongs to the section "Biosignal Processing".

Deadline for manuscript submissions: 31 August 2025 | Viewed by 3383

Special Issue Editors

Dr. Carlos Trenado

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Guest Editor
1. Institute of Clinical Neuroscience and Medical Psychology, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany
2. Laboratoire de Recherche en Neurosciences Cliniques (LRENC), 34725 Montpellier, France
Interests: deep brain stimulation; neuroimaging; computational modeling; data science; brain disorders; real-world neuroscience applications
Special Issues, Collections and Topics in MDPI journals
Dr. Christian Penaloza

E-Mail Website
Guest Editor
Mirai Innovation Research Institute, Osaka, Japan
Interests: cognitive neuroscience; brain biomarkers

Special Issue Information

Dear Colleagues,

Electroencephalography (EEG) provides unprecedented means to perform the non-invasive imaging of brain functions with a spatiotemporal resolution that enables a large variety of informative neuroscience findings. These findings help us to better understand how the different functional brain areas operate, how they are connected, and how disruptions in this complicated system of interconnected areas can lead to brain diseases.

The Special Issue "New Sights of EEG and Brain Diseases: Updates and Directions" aims to explore recent advancements in the use of electroencephalography in the diagnosis and management of various brain diseases. The collection of articles in this Issue covers a wide range of topics, including the application of EEG in neurodegenerative disorders, seizure detection, brain-computer interfaces, and neuropsychiatric conditions.

Researchers and clinicians have contributed original studies, reviews, and case reports highlighting the latest developments in EEG technology, data analysis techniques, and clinical applications. The Special Issue also addresses emerging trends and future directions for using EEG as a tool for understanding brain diseases and improving patient outcomes.

Dr. Carlos Trenado
Dr. Christian Penaloza
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. Bioengineering 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 2700 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

  • EEG
  • brain diseases
  • neuropsychiatric conditions
  • prosthetics

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Published Papers (3 papers)

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Research

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12 pages, 576 KiB  
Article
The Effect of EEG Biofeedback Training Frequency and Environmental Conditions on Simple and Complex Reaction Times
by Skalski Dariusz, Maciej Kostrzewa, Prończuk Magdalena, Jarosław Markowski, Jan Pilch, Marcin Żak and Adam Maszczyk
Bioengineering 2024, 11(12), 1208; https://doi.org/10.3390/bioengineering11121208 - 29 Nov 2024
Cited by 2 | Viewed by 1027
Abstract
The objective of this study is to evaluate the impact of EEG biofeedback training under normoxic and normobaric hypoxic conditions on both simple and complex reaction times in judo athletes, and to identify the optimal training frequency and environmental conditions that substantially enhance [...] Read more.
The objective of this study is to evaluate the impact of EEG biofeedback training under normoxic and normobaric hypoxic conditions on both simple and complex reaction times in judo athletes, and to identify the optimal training frequency and environmental conditions that substantially enhance reaction times in the examined athlete groups. The study comprised 20 male judo athlete members of the Polish national judo team in the middleweight and heavyweight categories. We randomly assigned participants to an experimental group and a control group. We conducted the research over four cycles, varying the frequency of EEG biofeedback sessions and environmental circumstances for both the experimental and control groups. Every research cycle had 15 training sessions. The results showed that the experimental group, following the theta/beta regimen, got significantly faster at complex reactions after a training cycle that included sessions every other day at normal oxygen levels. Following daily training sessions in normoxic circumstances, we noted enhancements in simple reaction speeds. Under normobaric hypoxia conditions, the judo athletes showed deterioration in both simple and complex reaction times. The control group showed no similar changes. Daily EEG training in normoxic settings markedly improved simple reaction time, but EEG-BF training conducted every other day greatly raised complicated reaction time. In contrast, training under normobaric hypoxia settings did not result in enhancements in basic or complicated reaction times following EEG training. Full article
(This article belongs to the Special Issue New Sights of EEG and Brain Diseases: Updates and Directions)
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18 pages, 2839 KiB  
Article
Weighted Coherence Analysis as a Window into the Neurophysiological Effects of Traumatic Brain Injury
by Ignacio Méndez-Balbuena, Brenda Lesly Betancourt-Navarrete, Ana Cristina Hermosillo-Abundis, Amira Flores, Lucio Fidel Rebolledo-Herrera, Rafael Lemuz-López, Nayeli Huidobro, Roberto Meza-Andrade, Héctor Juan Pelayo-González, María del Rosario Bonilla-Sánchez, Vicente Arturo López-Cortes and Marco Antonio García-Flores
Bioengineering 2024, 11(12), 1187; https://doi.org/10.3390/bioengineering11121187 - 25 Nov 2024
Cited by 1 | Viewed by 926
Abstract
Traumatic brain injury (TBI), resulting from external forces, is a leading cause of disability and death, often leading to cognitive deficits that affect attention, concentration, speech and language, learning and memory, reasoning, planning, and problem-solving. Given the diverse mechanisms underlying TBI symptoms, it [...] Read more.
Traumatic brain injury (TBI), resulting from external forces, is a leading cause of disability and death, often leading to cognitive deficits that affect attention, concentration, speech and language, learning and memory, reasoning, planning, and problem-solving. Given the diverse mechanisms underlying TBI symptoms, it is essential to characterize its neurophysiological and neuropsychological effects. To address this, we employed weighted coherence (WC) analysis in patients performing the Halstead–Reitan categorization task, alongside a control group of eight healthy individuals. Our findings indicate a significant decrease in WC within the theta and delta bands in the temporal regions during cognitive tasks in the TBI group compared to controls. Additionally, we observed a significant increase in WC in the beta and gamma bands in the parietal region during both rest and cognitive tasks in the TBI group, relative to the control group. Furthermore, there was a strong correlation between WC and task performance scores in the temporal regions. Full article
(This article belongs to the Special Issue New Sights of EEG and Brain Diseases: Updates and Directions)
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Review

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25 pages, 305 KiB  
Review
Electroencephalographic Biomarkers for Neuropsychiatric Diseases: The State of the Art
by Nayeli Huidobro, Roberto Meza-Andrade, Ignacio Méndez-Balbuena, Carlos Trenado, Maribel Tello Bello and Eduardo Tepichin Rodríguez
Bioengineering 2025, 12(3), 295; https://doi.org/10.3390/bioengineering12030295 - 14 Mar 2025
Viewed by 918
Abstract
Because of their nature, biomarkers for neuropsychiatric diseases were out of the reach of medical diagnostic technology until the past few decades. In recent years, the confluence of greater, affordable computer power with the need for more efficient diagnoses and treatments has increased [...] Read more.
Because of their nature, biomarkers for neuropsychiatric diseases were out of the reach of medical diagnostic technology until the past few decades. In recent years, the confluence of greater, affordable computer power with the need for more efficient diagnoses and treatments has increased interest in and the possibility of their discovery. This review will focus on the progress made over the past ten years regarding the search for electroencephalographic biomarkers for neuropsychiatric diseases. This includes algorithms and methods of analysis, machine learning, and quantitative electroencephalography as applied to neurodegenerative and neurodevelopmental diseases as well as traumatic brain injury and COVID-19. Our findings suggest that there is a need for consensus among quantitative electroencephalography researchers on the classification of biomarkers that most suit this field; that there is a slight disconnection between the development of increasingly sophisticated methods of analysis and what they will actually be of use for in the clinical setting; and finally, that diagnostic biomarkers are the most favored type in the field with a few caveats. The main goal of this state-of-the-art review is to provide the reader with a general panorama of the state of the art in this field. Full article
(This article belongs to the Special Issue New Sights of EEG and Brain Diseases: Updates and Directions)
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