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14 pages, 555 KiB  
Article
Functional and Cognitive Impairment in Patients with Relapsing–Remitting Multiple Sclerosis: Cognitive Tests and Plasma Neurofilament Light Chain Levels
by Elina Polunosika, Joel Simren, Arta Akmene, Nikita Klimovskis, Kaj Blennow, Daina Pastare, Henrik Zetterberg, Renars Erts and Guntis Karelis
Abstract
Background and Objectives: Multiple sclerosis (MS) is a chronic inflammatory, autoimmune, and neurodegenerative disease of the central nervous system. The disease can manifest and progress with both physical and cognitive symptoms, affecting the patient’s daily activities. The aim of our study was to [...] Read more.
Background and Objectives: Multiple sclerosis (MS) is a chronic inflammatory, autoimmune, and neurodegenerative disease of the central nervous system. The disease can manifest and progress with both physical and cognitive symptoms, affecting the patient’s daily activities. The aim of our study was to investigate the correlation between functional status, cognitive functions, and neurofilament light chain levels in plasma in MS patients. Materials and Methods: In a cross-sectional study, MS patients with a relapsing–remitting course (according to McDonald’s criteria, 2017) (n = 42) from Riga East University Hospital and a control group (n = 42) were included. In the MS group, the functional status was determined using the Expanded Disability Status Scale (EDSS), and neurofilament light chain levels in plasma (pNfL) were detected using single molecule array (Simoa) technology. The symbol digit modalities test (SDMT), brief visuospatial memory test—revised (BVMT-R), and the nine-hole peg test (9-HPT) were performed on the MS and control groups, dividing the groups by education level. Results: On the SDMT spreading speed, the MS group performed worse than the control group. The median score for the control group was 94.0, and for the MS group, it was 81.3. Slower performance on the SDMT also correlated with a higher EDSS in the MS group. Cognitive processing speed and memory were better in the control group and among individuals with higher education in both groups. For the BVMT-R, we found no difference between the two groups; both groups were able to learn the task equally well, but we found a weak correlation between age and learning in both groups, which could be related to the normal aging process. Execution reaction speed on the 9-HPT with the dominant hand was slower in the MS group (24.1 s) than in the control group (19.4 s). In the MS group, we observed a trend between SDMT performance and pNfL levels: higher pNfL levels were found in individuals who performed more slowly on the SDMT. Conclusions: Cognitive and fine motor dysfunction correlates with neurological impairment and plasma neurofilament light chain levels in MS patients. Full article
(This article belongs to the Section Neurology)
31 pages, 2972 KiB  
Review
A Review of Brain–Computer Interface-Based Language Decoding: From Signal Interpretation to Intelligent Communication
by Yingyi Qiu, Han Liu and Mengyuan Zhao
Appl. Sci. 2025, 15(1), 392; https://doi.org/10.3390/app15010392 - 3 Jan 2025
Abstract
Brain–computer interface (BCI) technologies for language decoding have emerged as a transformative bridge between neuroscience and artificial intelligence (AI), enabling direct neural–computational communication. The current literature provides detailed insights into individual components of BCI systems, from neural encoding mechanisms to language decoding paradigms [...] Read more.
Brain–computer interface (BCI) technologies for language decoding have emerged as a transformative bridge between neuroscience and artificial intelligence (AI), enabling direct neural–computational communication. The current literature provides detailed insights into individual components of BCI systems, from neural encoding mechanisms to language decoding paradigms and clinical applications. However, a comprehensive perspective that captures the parallel evolution of cognitive understanding and technological advancement in BCI-based language decoding remains notably absent. Here, we propose the Interpretation–Communication–Interaction (ICI) architecture, a novel three-stage perspective that provides an analytical lens for examining BCI-based language decoding development. Our analysis reveals the field’s evolution from basic signal interpretation through dynamic communication to intelligent interaction, marked by three key transitions: from single-channel to multimodal processing, from traditional pattern recognition to deep learning architectures, and from generic systems to personalized platforms. This review establishes that BCI-based language decoding has achieved substantial improvements in regard to system accuracy, latency reduction, stability, and user adaptability. The proposed ICI architecture bridges the gap between cognitive neuroscience and computational methodologies, providing a unified perspective for understanding BCI evolution. These insights offer valuable guidance for future innovations in regard to neural language decoding technologies and their practical application in clinical and assistive contexts. Full article
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15 pages, 1894 KiB  
Article
Metabolic Differences in Neuroimaging with [18F]FDG in Rats Under Isoflurane and Hypnorm–Dormicum
by Aage Kristian Olsen Alstrup, Mette Simonsen, Kim Vang Hansen and Caroline C. Real
Abstract
Background: Anesthesia can significantly impact positron emission tomography (PET) neuroimaging in preclinical studies. Therefore, understanding these effects is crucial for accurate interpretation of the results. In this experiment, we investigate the effect of [18F]-labeled glucose analog fluorodeoxyglucose ([18F]FDG) uptake [...] Read more.
Background: Anesthesia can significantly impact positron emission tomography (PET) neuroimaging in preclinical studies. Therefore, understanding these effects is crucial for accurate interpretation of the results. In this experiment, we investigate the effect of [18F]-labeled glucose analog fluorodeoxyglucose ([18F]FDG) uptake in the brains of rats anesthetized with two commonly used anesthetics for rodents: isoflurane, an inhalation anesthetic, and Hypnorm–Dormicum, a combination injection anesthetic. Materials and Methods: Female adult Sprague Dawley rats were randomly assigned to one of two anesthesia groups: isoflurane or Hypnorm–Dormicum. The rats were submitted to dynamic [18F]FDG PET scan. The whole brain [18F]FDG standard uptake value (SUV) and the brain voxel-based analysis were performed. Results: The dynamic [18F]FDG data revealed that the brain SUV was 38% lower in the isoflurane group after 40 min of image (2.085 ± 0.3563 vs. 3.369 ± 0.5577, p = 0.0008). In voxel-based analysis between groups, the maps collaborate with SUV data, revealing a reduction in [18F]FDG uptake in the isoflurane group, primarily in the cortical regions, with additional small increases observed in the midbrain and cerebellum. Discussion and Conclusions: The observed differences in [18F]FDG uptake in the brain may be attributed to variations in metabolic activity. These results underscore the necessity for careful consideration of anesthetic choice and its impact on neuroimaging outcomes in future research. Full article
(This article belongs to the Section Brain Imaging)
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34 pages, 3163 KiB  
Article
Resting-State EEG Alpha Rhythms Are Related to CSF Tau Biomarkers in Prodromal Alzheimer’s Disease
by Claudio Del Percio, Roberta Lizio, Susanna Lopez, Giuseppe Noce, Matteo Carpi, Dharmendra Jakhar, Andrea Soricelli, Marco Salvatore, Görsev Yener, Bahar Güntekin, Federico Massa, Dario Arnaldi, Francesco Famà, Matteo Pardini, Raffaele Ferri, Filippo Carducci, Bartolo Lanuzza, Fabrizio Stocchi, Laura Vacca, Chiara Coletti, Moira Marizzoni, John Paul Taylor, Lutfu Hanoğlu, Nesrin Helvacı Yılmaz, İlayda Kıyı, Yağmur Özbek-İşbitiren, Anita D’Anselmo, Laura Bonanni, Roberta Biundo, Fabrizia D’Antonio, Giuseppe Bruno, Angelo Antonini, Franco Giubilei, Lucia Farotti, Lucilla Parnetti, Giovanni B. Frisoni and Claudio Babiloniadd Show full author list remove Hide full author list
Int. J. Mol. Sci. 2025, 26(1), 356; https://doi.org/10.3390/ijms26010356 - 3 Jan 2025
Abstract
Patients with mild cognitive impairment due to Alzheimer’s disease (ADMCI) typically show abnormally high delta (<4 Hz) and low alpha (8–12 Hz) rhythms measured from resting-state eyes-closed electroencephalographic (rsEEG) activity. Here, we hypothesized that the abnormalities in rsEEG activity may be greater in [...] Read more.
Patients with mild cognitive impairment due to Alzheimer’s disease (ADMCI) typically show abnormally high delta (<4 Hz) and low alpha (8–12 Hz) rhythms measured from resting-state eyes-closed electroencephalographic (rsEEG) activity. Here, we hypothesized that the abnormalities in rsEEG activity may be greater in ADMCI patients than in those with MCI not due to AD (noADMCI). Furthermore, they may be associated with the diagnostic cerebrospinal fluid (CSF) amyloid–tau biomarkers in ADMCI patients. An international database provided clinical–demographic–rsEEG datasets for cognitively unimpaired older (Healthy; N = 45), ADMCI (N = 70), and noADMCI (N = 45) participants. The rsEEG rhythms spanned individual delta, theta, and alpha frequency bands. The eLORETA freeware estimated cortical rsEEG sources. Posterior rsEEG alpha source activities were reduced in the ADMCI group compared not only to the Healthy group but also to the noADMCI group (p < 0.001). Negative associations between the CSF phospho-tau and total tau levels and posterior rsEEG alpha source activities were observed in the ADMCI group (p < 0.001), whereas those with CSF amyloid beta 42 levels were marginal. These results suggest that neurophysiological brain neural oscillatory synchronization mechanisms regulating cortical arousal and vigilance through rsEEG alpha rhythms are mainly affected by brain tauopathy in ADMCI patients. Full article
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15 pages, 2205 KiB  
Article
Agathisflavone Inhibits Viability and Modulates the Expression of miR-125b, miR-155, IL-6, and Arginase in Glioblastoma Cells and Microglia/Macrophage Activation
by Karina Costa da Silva, Irlã Santos Lima, Cleonice Creusa dos Santos, Carolina Kymie Vasques Nonaka, Bruno Solano de Freitas Souza, Jorge Mauricio David, Henning Ulrich, Ravena Pereira do Nascimento, Maria de Fátima Dias Costa, Balbino Lino dos Santos and Silvia Lima Costa
Abstract
Glioblastomas (GBM) are malignant tumours with poor prognosis. Treatment involves chemotherapy and/or radiotherapy; however, there is currently no standard treatment for recurrence, and prognosis remains unfavourable. Inflammatory mediators and microRNAs (miRNAs) influence the aggressiveness of GBM, being involved in the communication with the [...] Read more.
Glioblastomas (GBM) are malignant tumours with poor prognosis. Treatment involves chemotherapy and/or radiotherapy; however, there is currently no standard treatment for recurrence, and prognosis remains unfavourable. Inflammatory mediators and microRNAs (miRNAs) influence the aggressiveness of GBM, being involved in the communication with the cells of the tumour parenchyma, including microglia/macrophages, and maintaining an immunosuppressive microenvironment. Hence, the modulation of miRNAs and inflammatory factors may improve GBM treatments. In this study, we investigated the effects of agathisflavone, a biflavonoid purified from Cenostigma pyramidale (Tul.), on the growth and migration of GBM cells, on the expression of inflammatory cytokines and microRNAs, as well on the response of microglia. Agathisflavone (5–30 μM) induced a dose- and time-dependent reduction in the viability of both human GL-15 and rat C6 cells, as determined by the MTT test, and reduced cell migration, as determined by cell scratch assay. RT-qPCR analysis revealed that agathisflavone (5 μM) down-regulated the expression of miR-125b and miR-155 in the secretome derived from GL-15 cells, which was associated with upregulation of the mRNA expression of IL-6 and arginase-1 immunoregulatory factors. Exposure of human microglia/macrophage to the secretome from GL-15 GMB cells modulated proliferation and morphology, effects that were modulated by agathisflavone treatment. These results demonstrate the effect of flavonoids on the growth of GBM cells, which impacts cells in the microenvironment and can be considered for preclinical studies for adjuvant treatments. Full article
(This article belongs to the Special Issue Bioactive Phenolic and Polyphenolic Compounds, Volume III)
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19 pages, 3749 KiB  
Article
Advanced Data Framework for Sleep Medicine Applications: Machine Learning-Based Detection of Sleep Apnea Events
by Kristina Zovko, Yann Sadowski, Toni Perković, Petar Šolić, Ivana Pavlinac Dodig, Renata Pecotić and Zoran Đogaš
Appl. Sci. 2025, 15(1), 376; https://doi.org/10.3390/app15010376 - 3 Jan 2025
Viewed by 103
Abstract
Obstructive Sleep Apnea (OSA) is a prevalent condition that disrupts sleep quality and contributes to significant health risks, necessitating accurate and efficient diagnostic methods. This study introduces a machine learning-based framework aimed at detecting apnea events through analysis of polysomnographic (PSG) and oximetry [...] Read more.
Obstructive Sleep Apnea (OSA) is a prevalent condition that disrupts sleep quality and contributes to significant health risks, necessitating accurate and efficient diagnostic methods. This study introduces a machine learning-based framework aimed at detecting apnea events through analysis of polysomnographic (PSG) and oximetry data. The core component is a Long Short-Term Memory (LSTM) network, which is particularly suited to processing sequential time-series data, capturing complex temporal relationships within physiological signals such as oxygen saturation, heart rate, and airflow. Through extensive feature engineering and preprocessing, the framework optimizes data representation by normalizing, scaling, and encoding input features to enhance computational efficiency and model performance. Key results demonstrate the model’s effectiveness, achieving a balanced accuracy of 79%, precision of 68%, and recall of 76% on the test dataset, with validation set metrics similarly high, supporting the model’s ability to generalize effectively. Comprehensive hyperparameter tuning further contributed to a stable, robust architecture capable of accurately identifying apnea events, providing clinicians with a valuable tool for the early detection and tailored management of OSA. This data-driven framework offers an efficient, reliable solution for OSA diagnostics with the potential to improve clinical decision making and patient outcomes. Full article
(This article belongs to the Special Issue Human Activity Recognition (HAR) in Healthcare, 2nd Edition)
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13 pages, 6803 KiB  
Article
Ethanol Disrupts the Protective Crosstalk Between Macrophages and HBV-Infected Hepatocytes
by Murali Ganesan, Anup S. Pathania, Grace Bybee, Kusum K. Kharbanda, Larisa Y. Poluektova and Natalia A. Osna
Biomolecules 2025, 15(1), 57; https://doi.org/10.3390/biom15010057 - 3 Jan 2025
Viewed by 140
Abstract
About 296 million people worldwide are living with chronic hepatitis B viral (HBV) infection, and outcomes to end-stage liver diseases are potentiated by alcohol. HBV replicates in hepatocytes, but other liver non-parenchymal cells can sense the virus. In this study, we aimed to [...] Read more.
About 296 million people worldwide are living with chronic hepatitis B viral (HBV) infection, and outcomes to end-stage liver diseases are potentiated by alcohol. HBV replicates in hepatocytes, but other liver non-parenchymal cells can sense the virus. In this study, we aimed to investigate the regulatory effects of macrophages on HBV marker and interferon-stimulated genes (ISGs) expressions in hepatocytes. This study was performed on HBV-replicating HepG2.2.15 cells and human monocyte-derived macrophages (MDMs). We found that exposure of HepG2.2.15 cells to an acetaldehyde-generating system (AGS) increased HBV RNA, HBV DNA, and cccDNA expressions and suppressed the activation of ISGs, APOBEC3G, ISG15, and OAS1. Supernatants collected from IFNα-activated MDMs decreased HBV marker levels and induced ISG activation in AGS-treated and untreated HepG2.215 cells. These effects were reversed by exposure of MDMs to ethanol and mimicked by treatment with exosome release inhibitor GW4869. We conclude that exosome-mediated crosstalk between IFN-activated macrophages and HBV-replicating hepatocytes plays a protective role via the up-regulation of ISGs and suppression of HBV replication. However, ethanol exposure to macrophages breaks this protection. Full article
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18 pages, 2112 KiB  
Article
Minibeam Spatially-Fractionated Radiation Therapy Is Superior to Uniform Dose Radiation Therapy for Abscopal Effect When Combined with PD-L1 Checkpoint Inhibitor Immunotherapy in a Dual Tumor Murine Mammary Carcinoma Model
by Judith N. Rivera, Keith Laemont, Artak Tovmasyan, Stefan Stryker, Kenneth Young, Theresa Charity, Gregory M. Palmer and Sha Chang
Viewed by 184
Abstract
Spatially fractionated radiation therapy (SFRT) has a long history of treating bulky and hypoxic tumors. Recent evidence suggests that, compared to conventional uniform dose radiation therapy, SFRT may utilize different mechanisms of tumor cell killing, potentially including bystander and immune-activating effects. The abscopal [...] Read more.
Spatially fractionated radiation therapy (SFRT) has a long history of treating bulky and hypoxic tumors. Recent evidence suggests that, compared to conventional uniform dose radiation therapy, SFRT may utilize different mechanisms of tumor cell killing, potentially including bystander and immune-activating effects. The abscopal effect in radiation therapy refers to the control or even elimination of distant untreated tumors following the treatment of a primary tumor with radiation, a process believed to be immune-mediated. Such effects have been shown to be enhanced by immunotherapy, particularly immune checkpoint inhibition. In this manuscript, we explore the potential synergy of spatially fractionated radiation therapy, in the form of kV x-ray minibeam, combined with PD-L1 checkpoint inhibition in a murine mammary carcinoma model at conventional dose-rate. We found that minibeam of peak/valley doses of 50 Gy/3.7 Gy performed statistically equivalent but trending better than that of 100 Gy/7.4 Gy in its abscopal effect and so 50 Gy/3.7 Gy was selected for further studies. Our findings indicate that the abscopal effect is significantly greater in the minibeam plus anti-PD-L1 treated animals compared to those receiving uniform dose radiation therapy plus anti-PD-L1 (p = 0.04948). Immune cell profiling in the minibeam plus anti-PD-L1 group compared to uniform dose reveals a consistent trend towards greater immune cell infiltration in the primary tumor, as well as a higher percentage of CD8+ T cells, both systemically and at the abscopal tumor site. Full article
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11 pages, 967 KiB  
Article
Visual Noise Mask for Human Point-Light Displays: A Coding-Free Approach
by Catarina Carvalho Senra, Adriana Conceição Soares Sampaio and Olivia Morgan Lapenta
Viewed by 194
Abstract
Human point-light displays consist of luminous dots representing human articulations, thus depicting actions without pictorial information. These stimuli are widely used in action recognition experiments. Because humans excel in decoding human motion, point-light displays (PLDs) are often masked with additional moving dots (noise [...] Read more.
Human point-light displays consist of luminous dots representing human articulations, thus depicting actions without pictorial information. These stimuli are widely used in action recognition experiments. Because humans excel in decoding human motion, point-light displays (PLDs) are often masked with additional moving dots (noise masks), thereby challenging stimulus recognition. These noise masks are typically found within proprietary programming software, entail file format restrictions, and demand extensive programming skills. To address these limitations, we present the first user-friendly step-by-step guide to develop visual noise to mask PLDs using free, open-source software that offers compatibility with various file formats, features a graphical interface, and facilitates the manipulation of both 2D and 3D videos. Further, to validate our approach, we tested two generated masks in a pilot experiment with 12 subjects and demonstrated that they effectively jeopardised human agent recognition and, therefore, action visibility. In sum, the main advantages of the presented methodology are its cost-effectiveness and ease of use, making it appealing to novices in programming. This advancement holds the potential to stimulate young researchers’ use of PLDs, fostering further exploration and understanding of human motion perception. Full article
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17 pages, 1045 KiB  
Systematic Review
The Influence of an Intense Training Regime in Professional and Non-Professional Athletes on Semen Parameters: A Systematic Review
by Francesca Greco, Giovanni Guarascio, Elisa Giannetta, Francesco Pio Oranges, Federico Quinzi, Gian Pietro Emerenziani and Maria Grazia Tarsitano
J. Clin. Med. 2025, 14(1), 201; https://doi.org/10.3390/jcm14010201 - 1 Jan 2025
Viewed by 227
Abstract
Background/Objectives: Male infertility is influenced by physiological factors like age, as well as lifestyle factors, including physical activity. However, the specific impact of sport activity on semen parameters, and thus on male fertility, remains unclear. Specifically, the aim of this systematic review [...] Read more.
Background/Objectives: Male infertility is influenced by physiological factors like age, as well as lifestyle factors, including physical activity. However, the specific impact of sport activity on semen parameters, and thus on male fertility, remains unclear. Specifically, the aim of this systematic review is to evaluate how an intense regime of training may affect sperm parameters in professional and non-profession athletes. Methods: Studies reporting sperm parameters associated with high training load were included. In April 2024, three electronic databases and literature sources (PubMed, Scopus, and Web of Science) were searched. Quality appraisal was performed independently by three authors using the National Heart, Lung, and Blood Institute Quality Assessment Tools (NHLBI-QAT). Results: Four studies met the inclusion criteria, reporting a total of 156 participants. Sixteen weeks of intensive cycling training produced a significant decrease in seminal volume, sperm concentration, sperm motility, and morphology, with a return to their initial levels, except for sperm morphology and sperm concentration, after at least one week of rest. In addition, in athletes with varicocele, a 6-month stop from sports activity went a long way toward improving sperm concentration and sperm motility. However, DNA fragmentation, a greater presence of round cells, and high numbers of active macrophages were described. At least 30 days improve semen parameters in professional and non-professional athletes. Conclusions: Intensive training could worsen seminal parameters and, consequently, male fertility. However, certainty of evidence is very low, and the results should be interpreted with caution. Full article
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13 pages, 1825 KiB  
Article
Examining Insula–Default Mode Network Functional Connectivity and Its Relationship with Heart Rate Variability
by Marlene Nogueira, Juliana da Silva Magalhães, Adriana Sampaio, Sónia Sousa and Joana F. Coutinho
Viewed by 300
Abstract
Background: The Default Mode Network (DMN) is involved in self-referential and emotional processes, while the insula integrates emotional and interoceptive signals. Functional connectivity between the insula and the DMN is proposed to enhance these processes by linking internal bodily states with self-referential thoughts [...] Read more.
Background: The Default Mode Network (DMN) is involved in self-referential and emotional processes, while the insula integrates emotional and interoceptive signals. Functional connectivity between the insula and the DMN is proposed to enhance these processes by linking internal bodily states with self-referential thoughts and emotional regulation. Heart Rate Variability (HRV), a measure of parasympathetic regulation of cardiac activity, has been associated with the capacity to regulate autonomic arousal. This study explored the relationship between insula–DMN functional connectivity and HRV. We hypothesized that (1) insula’s functional activity and volume would be related to HRV; (2) insula activation would be functionally connected with the DMN; and (3) stronger insula–DMN connectivity would correlate with higher HRV. Methods: Forty-three healthy adults underwent a structural and functional MRI acquisition to assess insula–DMN connectivity during resting state. HRV was measured also at rest using the BIOPAC system. Results: A significant positive correlation was found between insula–DMN connectivity, but no correlation was observed between insula–DMN connectivity and HRV. We also found a positive significant association between left insula volume and HRV. Conclusions: These findings suggest that while the AI and DMN are functionally interconnected, this connectivity may not be directly related to HRV. The results highlight the complexity of the relationship between brain connectivity and autonomic function, suggesting that other factors may influence HRV. Full article
(This article belongs to the Section Computational Neuroscience and Neuroinformatics)
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10 pages, 2562 KiB  
Case Report
PET CT Imaging with FDG in the Therapeutical Management of Locally Advanced Cervical Cancer Diagnosed in a 43-Year-Old Patient: Case Report and Review of the Literature
by Ottó Molnar, Simona Mihuțiu, Oreste Mihai Straciuc, Alexandra Vesa and Liviu Lazar
Viewed by 354
Abstract
Background: Cervical cancer is the most important cancer type found in women throughout the world. Numerous research studies are being performed to investigate the effectiveness of different strategies for the imaging and treatment of locally advanced cervical cancer, which are showing favorable outcomes. [...] Read more.
Background: Cervical cancer is the most important cancer type found in women throughout the world. Numerous research studies are being performed to investigate the effectiveness of different strategies for the imaging and treatment of locally advanced cervical cancer, which are showing favorable outcomes. Brachytherapy is characterized by the application of very high radiation doses to target tumor cells with the least exposure to normal tissues. Methods: In the present case study, we report a 43-year-old female patient suffering from cervical cancer belonging to urban origin, with no personal pathological history, who presented herself to the gynecology department of the Bihor County Emergency Clinical hospital with vaginal bleeding. The histopathological examination of the cervix showed squamous cell carcinoma. The treatment was performed with neoadjuvant chemotherapy and concurrent chemoradiotherapy. Results: According to the clinical and histopathological examination, a diagnosis of non-keratinizing squamous carcinoma of the uterine cervix at FIGO stage III C1 was established. Radio-chemotherapy was performed, as well as periodic imaging assessments with a CT of the chest, pelvis, and abdomen, without local and distant relapse. FDG PET imaging was performed for the management and follow-up of cervical cancer by retrieving the SUVmax value. Conclusions: The post-therapeutic complications are represented by the vaginal stenosis installed 6 months after the end of the radiotherapeutic treatment. Full article
(This article belongs to the Special Issue Applications of Imaging Technology in Human Diseases)
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20 pages, 1735 KiB  
Article
Chemical Characterization and Differential Lipid-Modulating Effects of Selected Plant Extracts from Côa Valley (Portugal) in a Cell Model for Liver Steatosis
by Ricardo Amorim, Mário Pedro Marques, Catarina Melim, Carla Varela, Vilma A. Sardão, José Teixeira, Maria Inês Dias, Lillian Barros, Paulo J. Oliveira and Célia Cabral
Pharmaceuticals 2025, 18(1), 39; https://doi.org/10.3390/ph18010039 - 1 Jan 2025
Viewed by 276
Abstract
Background/Objectives: Côa Valley, located in the northeast of Portugal, harbors more than 500 medicinal plant species. Among them, four species stand out due to their traditional uses: Equisetum ramosissimum Desf. (hemorrhages, urethritis, hepatitis), Rumex scutatus L. subsp. induratus (Boiss. and Reut.) Malag. (inflammation, [...] Read more.
Background/Objectives: Côa Valley, located in the northeast of Portugal, harbors more than 500 medicinal plant species. Among them, four species stand out due to their traditional uses: Equisetum ramosissimum Desf. (hemorrhages, urethritis, hepatitis), Rumex scutatus L. subsp. induratus (Boiss. and Reut.) Malag. (inflammation, constipation), Geranium purpureum Vill., and Geranium lucidum L. (pain relief, gastric issues). Given their rich ethnomedicinal history, we evaluated their protective effects on an in vitro model of metabolic dysfunction-associated steatotic liver disease (MASLD). Methods: Decoction (D) and hydroalcoholic (EtOH80%) extracts were prepared and chemically characterized. Their safety profile and effects on lipid accumulation were assessed in palmitic acid (PA)-treated HepG2 cells using resazurin, sulforhodamine B, and Nile Red assays. Results: Chemical analysis revealed diverse phenolic compounds, particularly kaempferol derivatives in E. ramosissimum. All extracts showed minimal cytotoxicity at 25–50 µg/mL. At 100 µg/mL, only E. ramosissimum extracts maintained high cell viability. In the lipotoxicity model, E. ramosissimum decoction demonstrated the most potent effect, significantly reducing PA-induced neutral lipid accumulation in a dose-dependent manner, while other extracts showed varying degrees of activity. Conclusions: These findings highlight E. ramosissimum’s decoction, rich in kaempferol derivatives, as particularly effective in reducing lipid accumulation in this MASLD cell model while also providing a comprehensive characterization of traditionally used plants from the Côa Valley region. Full article
(This article belongs to the Section Natural Products)
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32 pages, 2920 KiB  
Review
EEG in Education: A Scoping Review of Hardware, Software, and Methodological Aspects
by Christos Orovas, Theodosios Sapounidis, Christina Volioti and Euclid Keramopoulos
Sensors 2025, 25(1), 182; https://doi.org/10.3390/s25010182 - 31 Dec 2024
Viewed by 408
Abstract
Education is an activity that involves great cognitive load for learning, understanding, concentrating, and other high-level cognitive tasks. The use of the electroencephalogram (EEG) and other brain imaging techniques in education has opened the scientific field of neuroeducation. Insights about the brain mechanisms [...] Read more.
Education is an activity that involves great cognitive load for learning, understanding, concentrating, and other high-level cognitive tasks. The use of the electroencephalogram (EEG) and other brain imaging techniques in education has opened the scientific field of neuroeducation. Insights about the brain mechanisms involved in learning and assistance in the evaluation and optimization of education methodologies according to student brain responses is the main target of this field. Being a multidisciplinary field, neuroeducation requires expertise in various fields such as education, neuroinformatics, psychology, cognitive science, and neuroscience. The need for a comprehensive guide where various important issues are presented and examples of their application in neuroeducation research projects are given is apparent. This paper presents an overview of the current hardware and software options, discusses methodological issues, and gives examples of best practices as found in the recent literature. These were selected by applying the PRISMA statement to results returned by searching PubMed, Scopus, and Google Scholar with the keywords “EEG and neuroeducation” for projects published in the last six years (2018–2024). Apart from the basic background knowledge, two research questions regarding methodological aspects (experimental settings and hardware and software used) and the subject of the research and type of information used from the EEG signals are addressed and discussed. Full article
(This article belongs to the Special Issue Smart Educational Systems: Hardware and Software Aspects)
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12 pages, 2306 KiB  
Article
Novel KCNQ2 Variants Related to a Variable Phenotypic Spectrum Ranging from Epilepsy with Auditory Features to Severe Developmental and Epileptic Encephalopathies
by Mariagrazia Talarico, Radha Procopio, Monica Gagliardi, Maria Chiara Sarubbi, Francesco Fortunato, Ilaria Sammarra, Gaetan Lesca, Donatella Malanga, Grazia Annesi and Antonio Gambardella
Int. J. Mol. Sci. 2025, 26(1), 295; https://doi.org/10.3390/ijms26010295 - 31 Dec 2024
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Abstract
Pathogenic KCNQ2 variants are associated with neonatal epilepsies, ranging from self-limited neonatal epilepsy to KCNQ2–developmental and epileptic encephalopathy (DEE). In this study, next-generation sequencing was performed, applying a panel of 142 epilepsy genes on three unrelated individuals and affected family members, showing [...] Read more.
Pathogenic KCNQ2 variants are associated with neonatal epilepsies, ranging from self-limited neonatal epilepsy to KCNQ2–developmental and epileptic encephalopathy (DEE). In this study, next-generation sequencing was performed, applying a panel of 142 epilepsy genes on three unrelated individuals and affected family members, showing a wide variability in the epileptic spectrum. The genetic analysis revealed two likely pathogenic missense variants (c.1378G>A and c.2251T>G) and the already-reported pathogenic splice site (c.1631+1G>A) in KCNQ2 (HGNC:6296). The phenotypes observed in the affected members of family 1, which shared the c.2251T>G variant, were epilepsy with auditory features (EAFs), focal epilepsy, and generalized epilepsy, and none of them suffered from neonatal seizures. The gene panel contained further genes related to EAFs (LGI1, RELN, SCN1A, and DEPDC5), which were tested with negative results. The phenotypes observed in family 2 members, sharing the splice site variant, were neonatal seizures and focal epilepsy in childhood. The last unrelated proband, harboring the de novo missense c.1378G>A, presented a clinical phenotype consistent with DEE. In conclusion, we identified two unreported KCNQ2 variants, and report a proband with EAFs and individuals without typical KCNQ2 neonatal seizures. Our study underscores the extreme variability in the phenotypic spectrum of KCNQ2-related epilepsies and unveils the prospect of its inclusion in screening panels for EAFs. Full article
(This article belongs to the Special Issue From Molecular Insights to Novel Therapies: Neurological Diseases)
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