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Brain Sci., Volume 15, Issue 8 (August 2025) – 122 articles

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23 pages, 981 KiB  
Review
Advancing Medulloblastoma Therapy in Pediatrics: Integrative Molecular Classification and Emerging Treatments
by David T. Kim, Michaela Uloho-Okundaye, Stephen C. Frederico, Santosh Guru, Min J. Kim and Steven D. Chang
Brain Sci. 2025, 15(8), 896; https://doi.org/10.3390/brainsci15080896 - 21 Aug 2025
Abstract
Medulloblastoma (MB), the most common malignant pediatric brain tumor, has undergone reclassification from a histologically defined disease to a genetically stratified spectrum of distinct subgroups: WNT, SHH, Group 3, and Group 4. Advances in molecular profiling, as captured in the 2021 WHO CNS5 [...] Read more.
Medulloblastoma (MB), the most common malignant pediatric brain tumor, has undergone reclassification from a histologically defined disease to a genetically stratified spectrum of distinct subgroups: WNT, SHH, Group 3, and Group 4. Advances in molecular profiling, as captured in the 2021 WHO CNS5 classification, have shown meaningful heterogeneity in terms of tumor biology, prognosis, and therapeutic response. However, translating these insights into precise, less toxic treatments remains an ongoing challenge. This review synthesizes current knowledge on MB subgroup biology, treatment strategies, and emerging therapies such as subgroup-specific inhibitors, immunotherapies, and novel chemotherapeutic regimens. This review also explores risk-adapted approaches while addressing global disparities in access to diagnostics and care. As the field moves toward individualized medicine, closing the gap between molecular understanding and equitable implementation will be crucial to improving outcomes and quality of life for children with medulloblastoma worldwide. Full article
(This article belongs to the Section Neuro-oncology)
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17 pages, 432 KiB  
Article
Associations Among Developmental Coordination Disorder Traits, Neurodevelopmental Difficulties and University Personality Inventory Scores in Undergraduate Students at a Japanese National University: A Cross-Sectional Correlational Study
by Masanori Yasunaga, Ryutaro Higuchi, Keita Kusunoki and Naoto Mochizuki
Brain Sci. 2025, 15(8), 895; https://doi.org/10.3390/brainsci15080895 - 21 Aug 2025
Abstract
Background/Objectives: Developmental coordination disorder (DCD) commonly co-occurs with attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and specific learning disorder (SLD), affecting academics, mental health, and lifestyle. Although screeners such as the Adolescents and Adults Coordination Questionnaire (AAC-Q) are widely used elsewhere, [...] Read more.
Background/Objectives: Developmental coordination disorder (DCD) commonly co-occurs with attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), and specific learning disorder (SLD), affecting academics, mental health, and lifestyle. Although screeners such as the Adolescents and Adults Coordination Questionnaire (AAC-Q) are widely used elsewhere, recognition and support for DCD in Japan remain limited. This study examined associations among DCD traits, ADHD/ASD-related difficulties, learning difficulties, mental health difficulties, and lifestyle factors in university students. Methods: We conducted a web-based survey of 16,295 students; responses from 527 were analyzed. The instruments used for the analysis included the AAC-Q, short forms of ADHD and ASD Difficulty Scales, the 7-item Learning Difficulty Scale for Postsecondary Students and 10-item Scale for Childhood Learning Difficulties, and the University Personality Inventory (UPI). Nonparametric and Spearman’s rank correlations were performed. Results: DCD traits were observed at 7.4% (AAC-Q ≥ 32). This is a screen-positive proportion only. AAC-Q scores correlated strongly with ADHD difficulties (r = 0.65), moderately to strongly with ASD difficulties (r = 0.55), and moderately with mental health difficulties measured by the UPI (r = 0.41). Conclusions: These findings suggest that identifying DCD traits at university entry may be associated with greater student self-understanding and improved access to appropriate support. They support targeted DCD screening alongside ADHD/ASD screening at university entry, rather than universal screening. Full article
(This article belongs to the Special Issue Diagnosis and Management of Developmental Coordination Disorders)
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14 pages, 964 KiB  
Review
Optic Pathway Glioma: Current Treatment Approaches and Ongoing Clinical Trials
by Osama Elzaafarany, Sarah Elhomosany, Alexandra Rincones, Vincent Dlugi and Sepideh Mokhtari
Brain Sci. 2025, 15(8), 894; https://doi.org/10.3390/brainsci15080894 - 21 Aug 2025
Abstract
Optic pathway glioma (OPG) is a rare pediatric low-grade glioma, frequently associated with neurofibromatosis type 1 (NF–1), that presents unique therapeutic challenges due to its anatomical location and its potential to impair vision, endocrine function, and developmental trajectories. Current clinical management prioritizes a [...] Read more.
Optic pathway glioma (OPG) is a rare pediatric low-grade glioma, frequently associated with neurofibromatosis type 1 (NF–1), that presents unique therapeutic challenges due to its anatomical location and its potential to impair vision, endocrine function, and developmental trajectories. Current clinical management prioritizes a multidisciplinary, patient-specific approach aimed at tumor control while preserving long-term quality of life. Strategies vary based on clinical presentation, ranging from observation in asymptomatic cases to chemotherapy for progressive or symptomatic tumors. Surgical and radiation options are limited due to potential risks and complications. In recent years, advances in molecular characterization have guided the development of targeted therapies, particularly MEK inhibitors, which demonstrate encouraging efficacy and reduced toxicity profiles. In parallel, investigational therapies including immunotherapy and precision medicine-based approaches are under clinical evaluation. This review provides a synthesis of current standard practices, emerging targeted treatments, and ongoing clinical trials, drawing on relevant literature and expert consensus to inform clinicians and families about available therapeutic options. Literature discussed in this review was identified through a non-systematic search of published articles, clinical trial registries, and authoritative guidelines, with selection based on relevance, clinical significance, and contribution to understanding current and emerging management strategies for OPG. Full article
(This article belongs to the Section Neuroglia)
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16 pages, 285 KiB  
Review
Psychedelics and the Serotonin Hypothesis of Eating Disorders
by Dean Bilenker and Nicole M. Avena
Brain Sci. 2025, 15(8), 893; https://doi.org/10.3390/brainsci15080893 - 21 Aug 2025
Abstract
Recent advances in psychedelic research have renewed interest in their therapeutic potential for psychiatric disorders characterized by cognitive and behavioral rigidity. This review examines the rationale for using serotonergic psychedelics—particularly 5-HT2A receptor agonists such as psilocybin—in the treatment of eating disorders [...] Read more.
Recent advances in psychedelic research have renewed interest in their therapeutic potential for psychiatric disorders characterized by cognitive and behavioral rigidity. This review examines the rationale for using serotonergic psychedelics—particularly 5-HT2A receptor agonists such as psilocybin—in the treatment of eating disorders (EDs), including anorexia nervosa (AN), bulimia nervosa (BN), and binge eating disorder (BED). The paper contextualizes these interventions within the broader serotonin hypothesis of EDs, emphasizing serotonergic dysregulation and impaired cognitive flexibility as central features of these conditions. Drawing from animal models, human neuroimaging studies, and emerging clinical trials, the authors outline how psychedelics may promote neuroplasticity and psychological insight through modulation of 5-HT2A signaling. Preliminary evidence from open-label studies suggests psilocybin may improve ED symptoms and quality of life, though findings are early and methodologically limited. The paper also reviews data on ayahuasca, MDMA, and non-psychedelic serotonergic agents, highlighting both the promise and complexity of psychedelic-assisted therapy in EDs. The authors conclude that while further controlled trials are needed to clarify efficacy, safety, and optimal treatment parameters, psychedelics offer a novel, mechanistically distinct avenue for addressing entrenched ED psychopathology. Full article
(This article belongs to the Special Issue Psychedelic and Interventional Psychiatry)
10 pages, 940 KiB  
Article
Premorbid Comorbidities as Predictors of Outcome in Ischemic Posterior Fossa Stroke: A Retrospective Evaluation Using the Age-Adjusted Charlson Comorbidity Index
by Francesca Culaj, Toska Maxhuni, Stefan T. Gerner, Anne Mrochen, Tobias Braun, Priyanka Boettger, Maxime Viard, Hagen B. Huttner, Martin Jünemann and Omar Alhaj Omar
Brain Sci. 2025, 15(8), 892; https://doi.org/10.3390/brainsci15080892 - 21 Aug 2025
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Abstract
Background: Posterior cranial fossa (PCF) infarctions are associated with elevated mortality rates; however, evidence regarding the prognostic value of comorbidity indices in this context remains scarce. This study investigates the association between the age-adjusted Charlson Comorbidity Index (aCCI) and clinical outcomes in patients [...] Read more.
Background: Posterior cranial fossa (PCF) infarctions are associated with elevated mortality rates; however, evidence regarding the prognostic value of comorbidity indices in this context remains scarce. This study investigates the association between the age-adjusted Charlson Comorbidity Index (aCCI) and clinical outcomes in patients with PCF infarctions, aiming to evaluate the aCCI as a prognostic indicator. The aCCI is a validated scoring system that quantifies a patient’s burden of chronic diseases, adjusting for age, to estimate overall comorbidity risk. Methods: In this retrospective, single-center analysis spanning two years, patient data were assessed to determine correlations between aCCI scores and clinical outcomes at discharge, specifically the modified Rankin Scale (mRS) and National Institutes of Health Stroke Scale (NIHSS). Structural equation modeling (SEM) was employed to elucidate the relationships among these variables. Results: SEM demonstrated that higher pre-stroke comorbidity burden, as quantified by the aCCI, was significantly associated with increased stroke severity and poorer functional outcomes at discharge. The aCCI exhibited strong direct effects on both NIHSS (path coefficient: 0.70) and mRS (path coefficient: 1.43). Conclusions: Premorbid comorbidities, as measured by the aCCI prior to stroke onset, are significantly correlated with both neurological deficit and functional outcome at discharge in patients with PCF infarctions. These findings underscore the potential utility of the aCCI as a prognostic tool for outcome prediction in this patient cohort. Full article
(This article belongs to the Special Issue Management of Acute Stroke)
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18 pages, 3419 KiB  
Article
From Scalp to Brain: Analyzing the Spatial Complexity of the Shooter’s Brain
by Bowen Gong, Xiuyan Hu, Xinyu Shi, Ting Shi, Yi Qu, Yunfa Fu and Anmin Gong
Brain Sci. 2025, 15(8), 891; https://doi.org/10.3390/brainsci15080891 - 21 Aug 2025
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Abstract
Background: In recent years, complexity analysis has attracted considerable attention in the field of neural mechanism exploration due to its nonlinear characteristics, providing a new perspective for revealing the complex information processing mechanisms of the brain. In precision sports such as shooting, complexity [...] Read more.
Background: In recent years, complexity analysis has attracted considerable attention in the field of neural mechanism exploration due to its nonlinear characteristics, providing a new perspective for revealing the complex information processing mechanisms of the brain. In precision sports such as shooting, complexity analysis can quantify the complexity of activity in different areas of the brain and dynamic changes. Methods: This study extracted multiple complexity indicators based on microstate and traceability analysis and examined brain complexity during the shooting preparation stage and the brain’s reaction mechanisms under audiovisual limitations. Results: Microstate Lempel-Ziv complexity and microstate fluctuation complexity in low-light environment were significantly higher than those in normal environment. The complexity of the brain increases and then decreases during shooting. In low-light conditions, nine brain regions—insula R’, posterior cingulate R’, entorhinal, superior frontal L’, caudal anterior cingulate L’, rostral anterior cingulate L’, posterior cingulate R’, medial orbitofrontal L’ and rostral middle frontal R’—exhibited differential results. SSV-R_PHC-COG and SSV-R_LOF-SCORE showed strong negative correlations with behavioral indicators. Conclusions: First, during shooting, the processing of visual information mainly relies on the secondary cortex and visual connection functions, rather than the primary cortex. Furthermore, there are automated processes based on experience in shooting sports. Second, noise has little effect on shooting, but low light has a multifaceted impact on shooting. This is mainly reflected in difficulties in integrating sensorimotor information, excessive memory retrieval, reduced movement stability, triggering of negative emotions, and changes in shooting strategies. Full article
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17 pages, 276 KiB  
Review
How Technology Advances Research and Practice in Autism Spectrum Disorder: A Narrative Review on Early Detection, Subtype Stratification, and Intervention
by Ziqian Shen and Chi-Lin Yu
Brain Sci. 2025, 15(8), 890; https://doi.org/10.3390/brainsci15080890 - 21 Aug 2025
Viewed by 41
Abstract
While technology has influenced today’s society in many aspects, how does it advance research and practice in the field of autism spectrum disorder (ASD)? In this article, we provide a narrative review of how technology enhances early detection, subtype stratification, and intervention of [...] Read more.
While technology has influenced today’s society in many aspects, how does it advance research and practice in the field of autism spectrum disorder (ASD)? In this article, we provide a narrative review of how technology enhances early detection, subtype stratification, and intervention of ASD through advancements in both hardware and software, including neuroimaging, telehealth, and artificial intelligence. Furthermore, given that technology has become an intrinsic part of humans’ daily lives, we discuss how technology can be considered more broadly as a sociocultural context for individuals with ASD in future assessments, diagnoses, and research. Full article
(This article belongs to the Section Neuropsychology)
19 pages, 1162 KiB  
Article
Beyond the Scars: An Analysis of Adverse Childhood Experiences and the Interconnections Between Emotion Dysregulation, Dissociation, and Trauma in Patients with Borderline Personality Disorder
by Luciana Ciringione, Enrico Perinelli, Francesco Mancini and Elena Prunetti
Brain Sci. 2025, 15(8), 889; https://doi.org/10.3390/brainsci15080889 - 20 Aug 2025
Viewed by 179
Abstract
Background/Objectives: Borderline Personality Disorder (BPD) frequently overlaps with trauma-related conditions, particularly PTSD and Complex PTSD (cPTSD). Adverse Childhood Experiences (ACEs)—especially emotional and sexual abuse—are considered key factors in the development of emotion dysregulation and dissociation. This study investigates the impact of different [...] Read more.
Background/Objectives: Borderline Personality Disorder (BPD) frequently overlaps with trauma-related conditions, particularly PTSD and Complex PTSD (cPTSD). Adverse Childhood Experiences (ACEs)—especially emotional and sexual abuse—are considered key factors in the development of emotion dysregulation and dissociation. This study investigates the impact of different ACE dimensions on borderline symptomatology, emotion dysregulation, and dissociative symptoms. Methods: Eighty-three BPD patients were assessed using standardized self-report questionnaires: CTQ-SF (ACEs), DERS (emotion dysregulation), DES (dissociation), BSL-23 (borderline symptoms), and PDS-3 (post-traumatic symptoms). Analyses included bivariate correlations, Structural Equation Modeling (SEM), and Exploratory Graph Analysis (EGA). Results: Emotional abuse significantly predicted borderline symptoms, while sexual abuse predicted dissociation. Emotion dysregulation was strongly associated with both borderline and dissociative symptoms, emerging as a central node in the symptom network. EGA confirmed the clustering of dissociative symptoms with sexual abuse and the centrality of emotion dysregulation across domains. Conclusions: Findings support the role of specific ACEs in shaping the clinical expression of BPD. Emotion dysregulation acts as a key transdiagnostic factor linking trauma history to borderline and dissociative features. These results underscore the importance of trauma-informed assessments and interventions, such as DBT and DBT-PTSD, tailored to individual ACE profiles. Full article
(This article belongs to the Special Issue Traumatic Stress and Dissociative Disorder)
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25 pages, 4399 KiB  
Article
Effect of Sound Amplification on Central Auditory Plasticity: Endbulb of Held as a Substrate
by Femi E. Ayeni, Michael A. Muniak and David K. Ryugo
Brain Sci. 2025, 15(8), 888; https://doi.org/10.3390/brainsci15080888 - 20 Aug 2025
Viewed by 208
Abstract
Background: Hearing loss is known to cause structural and functional abnormalities in the central auditory pathways. Interventions with hearing aids that amplify acoustic signals have been developed to combat hearing loss. However, little is known about how such devices may affect the brain [...] Read more.
Background: Hearing loss is known to cause structural and functional abnormalities in the central auditory pathways. Interventions with hearing aids that amplify acoustic signals have been developed to combat hearing loss. However, little is known about how such devices may affect the brain and mitigate the progression of hearing loss. We hypothesized that timely intervention that amplifies acoustic signals would delay further progression of hearing loss by maintaining central auditory activity and neural structure. Method: To that end, we provided eight weeks of acoustic stimulation tailored to compensate for subject-specific patterns of frequency loss in two mouse models of progressive hearing loss. We evaluated the effects of sound amplification on endbulb of Held anatomy at different ages of intervention in mice with early-onset (DBA/2) and late-onset (C57Bl/6) hearing loss. Results: We observed in both strains that endbulbs undergo rapid and progressive atrophy in untreated control subjects exposed to a baseline, unamplified, sound environment. In contrast, endbulb atrophy was significantly slowed in treated mice (p < 0.05). Conclusions: These data provide a possible explanation for how the brain benefits from sound amplification via hearing aid devices. Full article
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4 pages, 146 KiB  
Editorial
Challenges and Perspectives of Neurological Disorders: Series II
by Dina Nur Anggraini Ningrum and Woon-Man Kung
Brain Sci. 2025, 15(8), 887; https://doi.org/10.3390/brainsci15080887 - 20 Aug 2025
Viewed by 126
Abstract
Neurological disorders (NDs) has become the foremost public health threat across the globe in recent years, resulting in upsetting and devastating outcomes [...] Full article
(This article belongs to the Special Issue Challenges and Perspectives of Neurological Disorders: Series II)
17 pages, 2167 KiB  
Article
Interpretable EEG Emotion Classification via CNN Model and Gradient-Weighted Class Activation Mapping
by Yuxuan Zhao, Linjing Cao, Yidao Ji, Bo Wang and Wei Wu
Brain Sci. 2025, 15(8), 886; https://doi.org/10.3390/brainsci15080886 - 20 Aug 2025
Viewed by 178
Abstract
Background/Objectives: Electroencephalography (EEG)-based emotion recognition plays an important role in affective computing and brain–computer interface applications. However, existing methods often face the challenge of achieving high classification accuracy while maintaining physiological interpretability. Methods: In this study, we propose a convolutional neural network (CNN) [...] Read more.
Background/Objectives: Electroencephalography (EEG)-based emotion recognition plays an important role in affective computing and brain–computer interface applications. However, existing methods often face the challenge of achieving high classification accuracy while maintaining physiological interpretability. Methods: In this study, we propose a convolutional neural network (CNN) model with a simple architecture for EEG-based emotion classification. The model achieves classification accuracies of 95.21% for low/high arousal, 94.59% for low/high valence, and 93.01% for quaternary classification tasks on the DEAP dataset. To further improve model interpretability and support practical applications, Gradient-weighted Class Activation Mapping (Grad-CAM) is employed to identify the EEG electrode regions that contribute most to the classification results. Results: The visualization reveals that electrodes located in the right prefrontal cortex and left parietal lobe are the most influential, which is consistent with findings from emotional lateralization theory. Conclusions: This provides a physiological basis for optimizing electrode placement in wearable EEG-based emotion recognition systems. The proposed method combines high classification performance with interpretability and provides guidance for the design of efficient and portable affective computing systems. Full article
(This article belongs to the Section Cognitive, Social and Affective Neuroscience)
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13 pages, 1653 KiB  
Article
Dose-Dependent Dual Effect of the Endozepine ODN on Neuronal Spiking Activity
by Mahmoud Hazime, Marion Gasselin, Michael Alasoadura, Juliette Leclerc, Benjamin Lefranc, Magali Basille-Dugay, Celine Duparc, David Vaudry, Jérôme Leprince and Julien Chuquet
Brain Sci. 2025, 15(8), 885; https://doi.org/10.3390/brainsci15080885 - 20 Aug 2025
Viewed by 158
Abstract
Background/Objectives: Endozepines known as the endogenous ligands of benzodiazepine-binding sites, include the diazepam binding inhibitor (DBI) and its processing products, the triakontatetraneuropeptide (TTN) and the octadecaneuropeptide (ODN). Despite indisputable evidence of the binding of ODN on GABAAR-BZ-binding sites, their action on [...] Read more.
Background/Objectives: Endozepines known as the endogenous ligands of benzodiazepine-binding sites, include the diazepam binding inhibitor (DBI) and its processing products, the triakontatetraneuropeptide (TTN) and the octadecaneuropeptide (ODN). Despite indisputable evidence of the binding of ODN on GABAAR-BZ-binding sites, their action on this receptor lacks compelling electrophysiological observations, with some studies reporting that ODN acts as a negative allosteric modulator (NAM) of GABAAR while others suggest the opposite (positive allosteric modulation, PAM effect). All these studies were carried out in vitro with various neuronal cell types. To further elucidate the role of ODN in neuronal excitability, we tested its effect in vivo in the cerebral cortex of the anesthetized mouse. Methods: Spontaneous neuronal spikes were recorded by means of an extracellular pipette, in the vicinity of which ODN was micro-infused, either at a high dose (10−5 M) or low dose (10−11 M). Results: ODN at a high dose induced a significant increase in neuronal spiking. This effect could be antagonized by the GABAAR-BZ-binding site blocker flumazenil. In sharp contrast, at low concentrations, ODN reduced neuronal spiking with a magnitude similar to GABA itself. Interestingly, this decrease in neuronal activity by low dose of ODN was not flumazenil-dependent, suggesting that this effect is mediated by another receptor. Finally, we show that astrocytes in culture, known to be stimulated by picomolar doses of ODN via a GPCR, increased their export of GABA when stimulated by low dose of ODN. Conclusion: Our results confirm the versatility of ODN in the control of GABA transmission, but suggest that its PAM-like effect is, at least in part, mediated via an astrocytic non-GABAAR ODN receptor release of GABA. Full article
(This article belongs to the Section Neuroglia)
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28 pages, 1389 KiB  
Review
Redox-Regulated Pathways in Glioblastoma Stem-like Cells: Mechanistic Insights and Therapeutic Implications
by Nadia Fernanda Esteban-Román, Elisa Taddei, Edson Castro-Velázquez, Lorna Villafuentes-Vidal, Alejandra Velez-Herrera, Moisés Rubio-Osornio and Carmen Rubio
Brain Sci. 2025, 15(8), 884; https://doi.org/10.3390/brainsci15080884 - 19 Aug 2025
Viewed by 212
Abstract
Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by rapid proliferation, invasiveness, therapeutic resistance, and an immunosuppressive tumor microenvironment. A subpopulation of glial stem-like cells (GSCs) within GBM tumors contributes significantly to tumor initiation, progression, and relapse, displaying remarkable adaptability to [...] Read more.
Glioblastoma (GBM) is the most aggressive primary brain tumor, characterized by rapid proliferation, invasiveness, therapeutic resistance, and an immunosuppressive tumor microenvironment. A subpopulation of glial stem-like cells (GSCs) within GBM tumors contributes significantly to tumor initiation, progression, and relapse, displaying remarkable adaptability to oxidative stress and metabolic reprogramming. Recent evidence implicates the atypical kinases RIOK1 and RIOK2 in promoting GBM growth and proliferation through their interaction with oncogenic pathways such as AKT and c-Myc. Concurrently, the redox-sensitive Nrf2/Keap1 axis regulates antioxidant defenses and supports GSC survival and chemoresistance. Additionally, aberrant activation of the canonical Wnt/β-catenin pathway in GSCs enhances their self-renewal, immune evasion, and resistance to standard therapies, particularly under oxidative stress conditions. This review integrates current knowledge on how redox homeostasis and key signaling pathways converge to sustain GSC maintenance and GBM malignancy. Finally, we discuss emerging redox-based therapeutic strategies designed to target GSC resilience, modulate the tumor immune microenvironment, and surmount treatment resistance. Full article
(This article belongs to the Section Neuro-oncology)
20 pages, 2115 KiB  
Article
GAH-TNet: A Graph Attention-Based Hierarchical Temporal Network for EEG Motor Imagery Decoding
by Qiulei Han, Yan Sun, Hongbiao Ye, Ze Song, Jian Zhao, Lijuan Shi and Zhejun Kuang
Brain Sci. 2025, 15(8), 883; https://doi.org/10.3390/brainsci15080883 - 19 Aug 2025
Viewed by 211
Abstract
Background: Brain–computer interfaces (BCIs) based on motor imagery (MI) offer promising solutions for motor rehabilitation and communication. However, electroencephalography (EEG) signals are often characterized by low signal-to-noise ratios, strong non-stationarity, and significant inter-subject variability, which pose significant challenges for accurate decoding. Existing methods [...] Read more.
Background: Brain–computer interfaces (BCIs) based on motor imagery (MI) offer promising solutions for motor rehabilitation and communication. However, electroencephalography (EEG) signals are often characterized by low signal-to-noise ratios, strong non-stationarity, and significant inter-subject variability, which pose significant challenges for accurate decoding. Existing methods often struggle to simultaneously model the spatial interactions between EEG channels, the local fine-grained features within signals, and global semantic patterns. Methods: To address this, we propose the graph attention-based hierarchical temporal network (GAH-TNet), which integrates spatial graph attention modeling with hierarchical temporal feature encoding. Specifically, we design the graph attention temporal encoding block (GATE). The graph attention mechanism is used to model spatial dependencies between EEG channels and encode short-term temporal dynamic features. Subsequently, a hierarchical attention-guided deep temporal feature encoding block (HADTE) is introduced, which extracts local fine-grained and global long-term dependency features through two-stage attention and temporal convolution. Finally, a fully connected classifier is used to obtain the classification results. The proposed model is evaluated on two publicly available MI-EEG datasets. Results: Our method outperforms multiple existing state-of-the-art methods in classification accuracy. On the BCI IV 2a dataset, the average classification accuracy reaches 86.84%, and on BCI IV 2b, it reaches 89.15%. Ablation experiments validate the complementary roles of GATE and HADTE in modeling. Additionally, the model exhibits good generalization ability across subjects. Conclusions: This framework effectively captures the spatio-temporal dynamic characteristics and topological structure of MI-EEG signals. This hierarchical and interpretable framework provides a new approach for improving decoding performance in EEG motor imagery tasks. Full article
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15 pages, 2220 KiB  
Article
Reproducing the Few-Shot Learning Capabilities of the Visual Ventral Pathway Using Vision Transformers and Neural Fields
by Jiayi Su, Lifeng Xing, Tao Li, Nan Xiang, Jiacheng Shi and Dequan Jin
Brain Sci. 2025, 15(8), 882; https://doi.org/10.3390/brainsci15080882 - 19 Aug 2025
Viewed by 245
Abstract
Background: Studies have shown that humans can rapidly learn the shape of new objects or adjust their behavior when encountering novel situations. Research on visual cognition in the brain further indicates that the ventral visual pathway plays a critical role in core object [...] Read more.
Background: Studies have shown that humans can rapidly learn the shape of new objects or adjust their behavior when encountering novel situations. Research on visual cognition in the brain further indicates that the ventral visual pathway plays a critical role in core object recognition. While existing studies often focus on microscopic simulations of individual neural structures, few adopt a holistic, system-level perspective, making it difficult to achieve robust few-shot learning capabilities. Method: Inspired by the mechanisms and processes of the ventral visual stream, this paper proposes a computational model with a macroscopic neural architecture for few-shot learning. We reproduce the feature extraction functions of V1 and V2 using a well-trained Vision Transformer (ViT) and model the neuronal activity in V4 and IT using two neural fields. By connecting these neurons based on Hebbian learning rules, the proposed model stores the feature and category information of the input samples during support training. Results: By employing a scale adaptation strategy, the proposed model emulates visual neural mechanisms, enables efficient learning, and outperforms state-of-the-art few-shot learning algorithms in comparative experiments on real-world image datasets, demonstrating human-like learning capabilities. Conclusion: Experimental results demonstrate that our ventral-stream-inspired machine-learning model achieves effective few-shot learning on real-world datasets. Full article
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24 pages, 5542 KiB  
Article
TARPγ2-Derived Peptide Enhances Early-Phase Long-Term Potentiation and Impairs Memory Retention in Male Rats
by Dominik Mátyás, Vanda Tukacs, Vilmos Tóth, Péter Baracskay, Stefánia Krisztina Pap, Pál Stráner, Trần Minh Hiền, Éva Hunyadi-Gulyás, Zsuzsanna Darula, András Perczel, Katalin Adrienna Kékesi and Gábor Juhász
Brain Sci. 2025, 15(8), 881; https://doi.org/10.3390/brainsci15080881 - 18 Aug 2025
Viewed by 361
Abstract
Background/Objectives: Disruption of AMPAR trafficking at excitatory synapses contributes to impaired synaptic plasticity and memory formation in several neurological and psychiatric disorders. Arc, an immediate early gene product, has been shown to interact with the AMPAR auxiliary subunit TARPγ2, affecting receptor mobility [...] Read more.
Background/Objectives: Disruption of AMPAR trafficking at excitatory synapses contributes to impaired synaptic plasticity and memory formation in several neurological and psychiatric disorders. Arc, an immediate early gene product, has been shown to interact with the AMPAR auxiliary subunit TARPγ2, affecting receptor mobility and synaptic stabilization. Methods: To investigate the in vivo functional effects and protein interactions of the Arc-TARPγ2 interfering peptide RIPSYR, we performed in vivo electrophysiology and spatial memory assessments in male rats. as well as proteomic analyses of peptide-protein interactions in synaptosome lysates. We then used in silico docking to evaluate candidate binding partners. Results: In the present study, in vivo electrophysiological measurements revealed that RIPSYR administration altered early-phase long-term potentiation at CA3 synapses of male rats. Subsequent behavioral testing that assessed spatial memory performance revealed depleted memory retrieval after 24 h, indicating that the peptide has a systemic effect on experience-dependent plasticity. Then, we examined the molecular interactome of RIPSYR using magnetic bead-based immunoprecipitation and subsequent LC-MS identification on synaptosome lysates, and identified additional candidate binding partners, suggesting that the peptide may have broader modulatory effects. RIPSYR binding to the other putative binding partners are investigated by in silico methods. Conclusion: Our results raise the question of how the molecular interactions of RIPSYR contribute to its sum effects on electrophysiology and behavior. Full article
(This article belongs to the Section Behavioral Neuroscience)
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19 pages, 1603 KiB  
Article
Resolution of Lipopolysaccharide-Induced Inflammation Followed by DNA Hypomethylation and Increased Tetrahydrobiopterin Biosynthesis in Mouse Hippocampus
by Jennyffer Souza, Debora da Luz Scheffer, Alexandre Francisco Solano, Samantha Veloso, Luisa Cruz, Rodrigo Foganholi-Silva and Alexandra Latini
Brain Sci. 2025, 15(8), 880; https://doi.org/10.3390/brainsci15080880 - 18 Aug 2025
Viewed by 233
Abstract
Background: Robust evidence supports the role of tetrahydrobiopterin (BH4) metabolism in sustaining inflammation; however, the mechanisms underlying the persistent upregulation of the BH4 pathway remain incompletely understood. This study investigated the epigenetic regulation of BH4 metabolism following a single injection of lipopolysaccharide [...] Read more.
Background: Robust evidence supports the role of tetrahydrobiopterin (BH4) metabolism in sustaining inflammation; however, the mechanisms underlying the persistent upregulation of the BH4 pathway remain incompletely understood. This study investigated the epigenetic regulation of BH4 metabolism following a single injection of lipopolysaccharide (LPS) in the mouse hippocampus. Methods: Male C57BL/6J mice received either saline or LPS (0.33 mg/kg, i.p.) and were sacrificed at 4 h or 24 h post injection. Behavioral assessments and analyses of hippocampal neurotransmitter metabolism, DNA methylation profile, oxidative stress, and inflammasome activation were performed. Neopterin levels, a marker of immune system activation, were measured in both the plasma and hippocampus. Results: LPS-treated mice exhibited sickness behavior, including reduced locomotor and exploratory activity at both 4 and 24 h. While exploratory behavior showed partial recovery by 24 h, locomotor activity remained impaired. Neopterin levels increased in both the plasma and hippocampus following LPS administration but returned to baseline in the hippocampus by 24 h. Despite the normalization of neopterin, a persistent pro-inflammatory state in the hippocampus was evident at 24 h, as shown by increased expression of Ikbkb and components of the NLRP3 inflammasome, along with elevated oxidative stress markers. Upregulation of Nrf-2 and Hmox1 suggested activation of a protective antioxidant response. Dopaminergic metabolism was disrupted, indicating impaired BH4-dependent dopamine turnover. Epigenetic analysis revealed increased expression of DNA methyltransferases (Dnmt1, Dnmt3a, Dnmt3b) and Tet2, along with reduced expression of Tet1 and Tet3. Promoter hypomethylation of Gch1 and Ptps was observed, correlating with increased hippocampal expression and potentially elevated BH4 levels. Conclusions: Together, these findings show that a single LPS challenge was sufficient to induce the activation of the BH4 synthesis pathway during the late acute inflammatory phase, both systemically and in the hippocampus, potentially driven by epigenetic modifications such as promoter hypomethylation. This may contribute to the perpetuation of neuroinflammation. Full article
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14 pages, 250 KiB  
Article
Juggling the Limits of Lucidity: Searching for Cognitive Constraints in Lucid Dream Motor Practice: 4 Case Reports
by Emma Peters, Clarita Bonamino, Kathrin Fischer and Daniel Erlacher
Brain Sci. 2025, 15(8), 879; https://doi.org/10.3390/brainsci15080879 - 18 Aug 2025
Viewed by 288
Abstract
Background/Objectives: Lucid dreaming (LD), during which the dreamer becomes aware of the dream state, offers a unique opportunity for a variety of applications, including motor practice, personal well-being, and nightmare therapy. However, these applications largely depend on the dreamer’s ability to control their [...] Read more.
Background/Objectives: Lucid dreaming (LD), during which the dreamer becomes aware of the dream state, offers a unique opportunity for a variety of applications, including motor practice, personal well-being, and nightmare therapy. However, these applications largely depend on the dreamer’s ability to control their dreams. While LD research has traditionally focused on induction techniques to increase dream frequency, the equally important skill of dream control remains largely underexplored. This study provides an exploration into the mechanisms of LD motor practice, dream control, and its potential influencing factors. We specifically examined whether a complex motor skill—juggling—could be performed during LD, calling for relatively high levels of dream control and access to procedural memory. Methods: Four healthy participants underwent overnight polysomnography (PSG), provided detailed dream reports, and completed questionnaires assessing dream control and self-efficacy. Dream-task success was assessed using predefined in-dream motor performance criteria. Differences between high and low LD control participants were examined, and two detailed case reports of lucid dream juggling attempts provide insight into the challenges of executing complex motor tasks during LD. Results: Dream control varied between and within participants. Both dream control and self-efficacy seemed to predict participants’ ability to execute the LD motor task. Conclusions: Despite the low sample size, this study highlights the potential roles of individual traits like self-efficacy in shaping dream control abilities and motor performance during LD. By using empirical, task-based measures, this study helps build the foundation for future research aimed at optimizing LD applications in clinical and non-clinical fields. Full article
17 pages, 876 KiB  
Article
Spoonerism Beyond Language: A Multi-Componential Perspective on Phonological Awareness
by Francesco Benso, Noemi Mazzoni, Carlo Chiorri, Eleonora Ardu, Paola Venuti and Angela Pasqualotto
Brain Sci. 2025, 15(8), 878; https://doi.org/10.3390/brainsci15080878 - 18 Aug 2025
Viewed by 254
Abstract
Background: Reading difficulties are closely linked to phonological awareness (PA), though PA tasks vary in complexity and cognitive demands. Recent research suggests that dyslexia reflects multiple cognitive risk factors, aligned with multi-level models of reading and recent theories of complex modularity. These models [...] Read more.
Background: Reading difficulties are closely linked to phonological awareness (PA), though PA tasks vary in complexity and cognitive demands. Recent research suggests that dyslexia reflects multiple cognitive risk factors, aligned with multi-level models of reading and recent theories of complex modularity. These models propose that different tasks engage different cognitive modules depending on their structure, according to a dynamic and graded organization. Methods: This study investigates cognitive functions that predict performance on a complex PA task (spoonerism) in 115 fourth-grade Italian students. Results: The results indicate that: (1) dividing the sample into high- and low-performing groups in verbal working memory (alpha span test) and visuospatial working memory (object updating task) revealed that students with lower working memory capacity performed significantly worse on the spoonerism task—underscoring the importance of general working memory for this type of activity; (2) Gaussian graphical models showed that spoonerism performance was strongly associated with the object updating task (r = 0.47) and the alpha span test (r = 0.33), confirming a close link between this phonological task and general working memory. Conclusions: These findings support the view that complex PA tasks depend on a broader set of cognitive systems beyond phonological processing. They align with theories of dynamic modularity, which propose that modularity arises from task demands, not fixed anatomical constraints. In children, the involvement of executive attention suggests that such tasks are not yet automatized but rely on central cognitive control. Understanding this complexity is crucial for interpreting reading performance and developing targeted, multi-componential interventions. Full article
(This article belongs to the Section Developmental Neuroscience)
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26 pages, 3497 KiB  
Article
A Multi-Branch Network for Integrating Spatial, Spectral, and Temporal Features in Motor Imagery EEG Classification
by Xiaoqin Lian, Chunquan Liu, Chao Gao, Ziqian Deng, Wenyang Guan and Yonggang Gong
Brain Sci. 2025, 15(8), 877; https://doi.org/10.3390/brainsci15080877 - 18 Aug 2025
Viewed by 300
Abstract
Background: Efficient decoding of motor imagery (MI) electroencephalogram (EEG) signals is essential for the precise control and practical deployment of brain-computer interface (BCI) systems. Owing to the complex nonlinear characteristics of EEG signals across spatial, spectral, and temporal dimensions, efficiently extracting multidimensional [...] Read more.
Background: Efficient decoding of motor imagery (MI) electroencephalogram (EEG) signals is essential for the precise control and practical deployment of brain-computer interface (BCI) systems. Owing to the complex nonlinear characteristics of EEG signals across spatial, spectral, and temporal dimensions, efficiently extracting multidimensional discriminative features remains a key challenge to improving MI-EEG decoding performance. Methods: To address the challenge of capturing complex spatial, spectral, and temporal features in MI-EEG signals, this study proposes a multi-branch deep neural network, which jointly models these dimensions to enhance classification performance. The network takes as inputs both a three-dimensional power spectral density tensor and two-dimensional time-domain EEG signals and incorporates four complementary feature extraction branches to capture spatial, spectral, spatial-spectral joint, and temporal dynamic features, thereby enabling unified multidimensional modeling. The model was comprehensively evaluated on two widely used public MI-EEG datasets: EEG Motor Movement/Imagery Database (EEGMMIDB) and BCI Competition IV Dataset 2a (BCIIV2A). To further assess interpretability, gradient-weighted class activation mapping (Grad-CAM) was employed to visualize the spatial and spectral features prioritized by the model. Results: On the EEGMMIDB dataset, it achieved an average classification accuracy of 86.34% and a kappa coefficient of 0.829 in the five-class task. On the BCIIV2A dataset, it reached an accuracy of 83.43% and a kappa coefficient of 0.779 in the four-class task. Conclusions: These results demonstrate that the network outperforms existing state-of-the-art methods in classification performance. Furthermore, Grad-CAM visualizations identified the key spatial channels and frequency bands attended to by the model, supporting its neurophysiological interpretability. Full article
(This article belongs to the Section Neurotechnology and Neuroimaging)
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14 pages, 733 KiB  
Article
Investigating Foreign Language Vocabulary Recognition in Children with ADHD and Autism with the Use of Eye Tracking Technology
by Georgia Andreou and Ariadni Argatzopoulou
Brain Sci. 2025, 15(8), 876; https://doi.org/10.3390/brainsci15080876 - 18 Aug 2025
Viewed by 377
Abstract
Background: Neurodivergent students, including those with Autism Spectrum Disorder (ASD) and Attention Deficit/Hyperactivity Disorder (ADHD), frequently encounter challenges in several areas of foreign language (FL) learning, including vocabulary acquisition. This exploratory study aimed to investigate real-time English as a Foreign Language (EFL) word [...] Read more.
Background: Neurodivergent students, including those with Autism Spectrum Disorder (ASD) and Attention Deficit/Hyperactivity Disorder (ADHD), frequently encounter challenges in several areas of foreign language (FL) learning, including vocabulary acquisition. This exploratory study aimed to investigate real-time English as a Foreign Language (EFL) word recognition using eye tracking within the Visual World Paradigm (VWP). Specifically, it examined whether gaze patterns could serve as indicators of successful word recognition, how these patterns varied across three distractor types (semantic, phonological, unrelated), and whether age and vocabulary knowledge influenced visual attention during word processing. Methods: Eye-tracking data were collected from 17 children aged 6–10 years with ADHD or ASD while they completed EFL word recognition tasks. Analyses focused on gaze metrics across target and distractor images to identify percentile-based thresholds as potential data-driven markers of recognition. Group differences (ADHD vs. ASD) and the roles of age and vocabulary knowledge were also examined. Results: Children with ADHD exhibited increased fixations on phonological distractors, indicating higher susceptibility to interference, whereas children with ASD demonstrated more distributed attention, often attracted by semantic cues. Older participants and those with higher vocabulary scores showed more efficient gaze behavior, characterized by increased fixations on target images, greater attention to relevant stimuli, and reduced attention to distractors. Conclusions: Percentile-based thresholds in gaze metrics may provide useful markers of word recognition in neurodivergent learners. Findings underscore the importance of differentiated instructional strategies in EFL education for children with ADHD and ASD. The study further supports the integration of eye tracking with behavioral assessments to advance understanding of language processing in atypical developmental contexts. Full article
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18 pages, 4617 KiB  
Systematic Review
The Relationship Between Physical Activity and Depression in College Students: A Systematic Review and Meta-Analysis
by Xiaorui Huang, Zhuying Chen, Ze Xu, Xiaojie Liu, Yuanyuan Lv and Laikang Yu
Brain Sci. 2025, 15(8), 875; https://doi.org/10.3390/brainsci15080875 - 18 Aug 2025
Viewed by 344
Abstract
Objectives: Depression is a significant and growing global concern with substantial societal impact. College students, being particularly vulnerable to depression, necessitate exploration of physical activity (PA) as a potential mitigating factor. This study aims to examine the relationship between PA and depression [...] Read more.
Objectives: Depression is a significant and growing global concern with substantial societal impact. College students, being particularly vulnerable to depression, necessitate exploration of physical activity (PA) as a potential mitigating factor. This study aims to examine the relationship between PA and depression in college students. Methods: Studies were identified through systematic searches of PubMed, Embase, Cochrane, Scopus, and Web of Science. The Pearson correlation coefficient was utilized to assess the PA–depression relationship. Heterogeneity was evaluated, and subgroup analyses were performed. Sensitivity analysis via the leave-one-out method was conducted. Quality assessment was assessed using the Joanna Briggs Institute literature quality assessment approach, resulting in the inclusion of 38 high-quality, low-risk studies. Results: A significant negative correlation between PA and depression was found (r = −0.238; 95% CI, −0.307 to −0.173; p < 0.001). Subgroup analyses revealed notable PA–depression correlations post-COVID-19 (r = −0.324; 95% CI, −0.493 to −0.132; p < 0.001), in developing countries (r = −0.202; 95% CI, −0.213 to −0.191; p < 0.001), and in physical education majors (r = −0.390; 95% CI, −0.589 to −0.147; p < 0.001). Moderate PA levels were associated with reduced depression (r = −0.428; 95% CI, −0.708 to −0.031; p = 0.035). Conclusions: This systematic review and meta-analysis suggests that PA is significantly and negatively associated with depression and plays a crucial role in alleviating depression in college students. Various influences, including the pandemic, national development level, student major, and PA intensity, moderate this relationship. Post-pandemic, developing countries, physical education majors, and moderate PA intensity emerged as optimal factors for enhancing the depression-alleviating effects of PA. Full article
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22 pages, 1609 KiB  
Article
Effects of Age on the Neural Tracking of Speech in Noise
by HyunJung An, JeeWon Lee, Young-jin Park, Myung-Whan Suh and Yoonseob Lim
Brain Sci. 2025, 15(8), 874; https://doi.org/10.3390/brainsci15080874 - 16 Aug 2025
Viewed by 276
Abstract
Background: Older adults often struggle to comprehend speech in noisy environments, a challenge influenced by declines in both auditory processing and cognitive functions. This study aimed to investigate how differences in speech-in-noise perception among individual with clinically normal hearing thresholds (ranging from normal [...] Read more.
Background: Older adults often struggle to comprehend speech in noisy environments, a challenge influenced by declines in both auditory processing and cognitive functions. This study aimed to investigate how differences in speech-in-noise perception among individual with clinically normal hearing thresholds (ranging from normal to mild hearing loss in older adults) are related to neural speech tracking and cognitive function, particularly working memory. Method: Specifically, we examined delta (1–4 Hz) and theta (4–8 Hz) EEG oscillations during speech recognition tasks to determine their association with cognitive performance in older adults. EEG data were collected from 23 young adults (20–35 years) and 23 older adults (65–80 years). Cognitive assessments were administered to older adults, and both groups completed an EEG task involving speech recognition in Speech-Shaped Noise (SSN) at individualized noise levels based on their Sentence Recognition Scores (SRS). Results: The results showed that age significantly impacted hit rates and reaction times in noisy speech recognition tasks. Theta-band neural tracking was notably stronger in older adults, while delta-band tracking showed no age-related difference. Pearson’s correlations indicated significant associations between age-related cognitive decline, reduced hearing sensitivity, and Mini-Mental State Examination (MMSE) scores. Regression analyses showed that theta-band neural tracking at specific SRS levels significantly predicted word list recognition in the higher SRT group, while constructional recall was strongly predicted in the lower SRT group. Conclusions: These findings suggest that older adults may rely on theta-band neural tracking as a compensatory mechanism. However, regression results alone were not sufficient to fully explain how working memory affects neural tracking, and additional cognitive and linguistic factors should be considered in future studies. Furthermore, cognitive assessments were administered only to older adults, which limits the ability to determine whether group differences are driven by age, hearing, or cognitive status—a major limitation that should be addressed in future research. Full article
(This article belongs to the Section Cognitive, Social and Affective Neuroscience)
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18 pages, 2650 KiB  
Article
The Effectiveness of an Exercise Program Based on Motor Learning Principles for the Correction of the Forward Head Posture: A Randomized Controlled Trial
by Stephani Argyrou, Pavlos Kitixis, Zacharias Dimitriadis, Anna Christakou, Nikolaos Strimpakos, George Paras, Maria Tsioutsoumaka and Eleni Kapreli
Brain Sci. 2025, 15(8), 873; https://doi.org/10.3390/brainsci15080873 - 15 Aug 2025
Viewed by 452
Abstract
Background/Objectives: The aim of this study was to examine the effectiveness of an exercise program based on principles of motor learning with cognitive elements (such as attention) in the correction of Forward Head Posture (FHP). Methods: A total of 55 university students [...] Read more.
Background/Objectives: The aim of this study was to examine the effectiveness of an exercise program based on principles of motor learning with cognitive elements (such as attention) in the correction of Forward Head Posture (FHP). Methods: A total of 55 university students from the University of Thessaly, aged between 18 and 25 years, participated in this study. Volunteers found to have a craniovertebral angle <50° were randomly divided into two groups: the intervention group IG (n = 27) and the control group CG (n = 28). The IG followed a treatment protocol consisting of three 30–45-min sessions per week for four weeks, a total of twelve sessions, while the control group received the same content instructions and group sessions upon completion. Results: After the four-week intervention period, significant improvements were observed in both static and dynamic craniovertebral angle measurements (p < 0.05) when comparing the IG to the CG. Additionally, there was a notable increase in the endurance of the deep neck flexors (p < 0.05), even though the intervention for the IG did not include specific strength exercises. Furthermore, participants with FHP were able to transfer (B–C) motor skills (p < 0.01) acquired during static position tasks to a similar but dynamically untrained task. They also retained (B–D) improvements in posture and strength during the two-week detraining period (p < 0.01), indicating sustained motor learning effects. Conclusions: The exercise intervention was successful at decreasing FHP in subjects, sustaining the results for a two-week period. This study supports the effectiveness of postural training by a program based on motor learning principles. New rehabilitation strategies based on motor control and motor learning could be introduced into physiotherapy practice to increase effectiveness. Full article
(This article belongs to the Special Issue Neuromuscular Diseases and Musculoskeletal Disorders)
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13 pages, 1750 KiB  
Article
B7-H3 as a Reliable Diagnostic Biomarker for the Differentiation of High-Grade Gliomas (HGGs) and Low-Grade Gliomas (LGGs)
by Fatima Juković-Bihorac, Slaviša Đuričić, Emir Begagić, Hakija Bečulić, Alma Efendić, Semir Vranić and Mirza Pojskić
Brain Sci. 2025, 15(8), 872; https://doi.org/10.3390/brainsci15080872 - 15 Aug 2025
Viewed by 280
Abstract
Background/Objectives: This study aimed to evaluate the diagnostic and prognostic utility of B7-H3 expression in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs) and to examine its association with clinical outcomes. Methods: This retrospective study included 99 patients with histopathologically confirmed gliomas (42 [...] Read more.
Background/Objectives: This study aimed to evaluate the diagnostic and prognostic utility of B7-H3 expression in differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs) and to examine its association with clinical outcomes. Methods: This retrospective study included 99 patients with histopathologically confirmed gliomas (42 LGGs and 57 HGGs). B7-H3 expression was assessed using immunohistochemistry and scored by immunoreactive score (IRS). Results: B7-H3 expression was significantly higher in HGG compared to LGG (p < 0.001). The total IRS (B7-H3 A × B) demonstrated strong discriminative power (AUC = 0.816). High B7-H3 expression independently predicted disease progression (OR = 4.9, 95% CI: 2.4–10.1; p < 0.001) and was associated with IDH wild-type status and elevated Ki-67 index. Patients with high B7-H3 had significantly shorter overall survival (median 6 months vs. 42 months) and progression-free survival (median 3 months vs. 25 months) (both p < 0.001). Cox regression confirmed high B7-H3 as an independent predictor of mortality (HR = 2.9, 95% CI: 1.7–4.7; p < 0.001) and progression (HR = 2.6, 95% CI: 1.6–4.2; p < 0.001). Conclusions: B7-H3 expression is a reliable biomarker for distinguishing HGG from LGG and is independently associated with worse survival outcomes. Its assessment may aid in glioma classification and prognostication. Full article
(This article belongs to the Special Issue Editorial Board Collection Series: Advances in Neuro-Oncology)
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13 pages, 345 KiB  
Article
Preliminary Results from an RCT Examining the Effects of a Health Behavior Intervention as an Adjunct to Standard Trauma Therapy Among Adults with PTSD
by Jeffrey L. Kibler, Karla Patricia Molina Valenzuela, Shalynn Murphy, Claudia Ocholski, Dania Dabbagh, Valeria Rangel Cunha and Mindy Ma
Brain Sci. 2025, 15(8), 871; https://doi.org/10.3390/brainsci15080871 - 15 Aug 2025
Viewed by 386
Abstract
Background/Objectives: Individuals with posttraumatic stress disorder (PTSD) tend to show patterns of elevated cardiovascular disease (CVD) risk earlier in life than the general population. The need for effective interventions for CVD risk-reduction in PTSD is increasingly evident. In this paper we present preliminary [...] Read more.
Background/Objectives: Individuals with posttraumatic stress disorder (PTSD) tend to show patterns of elevated cardiovascular disease (CVD) risk earlier in life than the general population. The need for effective interventions for CVD risk-reduction in PTSD is increasingly evident. In this paper we present preliminary results from a longitudinal study of a health behavior intervention, as an adjunct to standard trauma therapy in PTSD. The health behavior intervention addresses CVD-related heath behaviors (physical activity, nutrition, sleep, and stress) in a 12-week program delivered individually in 90-min sessions. Behavior change recommendations included: increased aerobic activity; establishing a balanced diet, enhancing consumption of fruits and vegetables and reducing sugars and fat/saturated fat; incorporating strategies to enhance sleep and lower PTSD-related disruptions (e.g., nightmares); and relaxation and cognitive coping skills to reduce general stress. Methods: Participants were randomized to the health behavior intervention plus standard trauma therapy experimental condition or a standard trauma therapy control group. Outcomes were measured at baseline and after the 12-week intervention phase. Sleep efficiency was measured from actigraphy watches. Physical activity was assessed by self-report and blood pressure was measured using an automated device. The preliminary outcomes are for 29 participants to date who have pre-post data. Results: Sleep efficiency was improved in the intervention group compared to controls (p < 0.05). The intervention group also evidenced significant pre-post increases in moderate physical activity compared to the control group (p < 0.05). Changes in vigorous physical activity did not reach statistical significance in this preliminary sample but the pattern of results are similar to those for moderate activity. Trends toward significance were also observed for pre-post changes in systolic (p = 0.06) and diastolic blood pressure (p = 0.07), with small reductions for the intervention group and increases for the control group. Conclusions: These findings provide preliminary information about the effectiveness of the health behavior intervention on multiple parameters for adults with PTSD. The findings suggest that focusing on health behavior change in multidisciplinary treatments for PTSD may enhance outcomes such as sleep and physical activity and potentially result in greater quality of life. However, the small preliminary sample size reported here should be considered when interpreting the outcomes. Further research may also determine how improvements in health parameters impact other indices of long-term cardiovascular health. Full article
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25 pages, 4694 KiB  
Review
Spiking Neural Models of Neurons and Networks for Perception, Learning, Cognition, and Navigation: A Review
by Stephen Grossberg
Brain Sci. 2025, 15(8), 870; https://doi.org/10.3390/brainsci15080870 - 15 Aug 2025
Viewed by 958
Abstract
This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane equations of neurophysiology, also called shunting [...] Read more.
This article reviews and synthesizes highlights of the history of neural models of rate-based and spiking neural networks. It explains that theoretical and experimental results about how all rate-based neural network models, whose cells obey the membrane equations of neurophysiology, also called shunting laws, can be converted into spiking neural network models without any loss of explanatory power, and often with gains in explanatory power. These results are relevant to all the main brain processes, including individual neurons and networks for perception, learning, cognition, and navigation. The results build upon the hypothesis that the functional units of brain processes are spatial patterns of cell activities, or short-term-memory (STM) traces, and spatial patterns of learned adaptive weights, or long-term-memory (LTM) patterns. It is also shown how spatial patterns that are learned by spiking neurons during childhood can be preserved even as the child’s brain grows and deforms while it develops towards adulthood. Indeed, this property of spatiotemporal self-similarity may be one of the most powerful properties that individual spiking neurons contribute to the development of large-scale neural networks and architectures throughout life. Full article
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12 pages, 545 KiB  
Article
Tinnitus and Cognition in the Elderly: Unraveling the Impact of Symptom Burden on Cognitive Decline
by Sarah Alshehri and Abdulaziz Abdulrahman S. Al Hatem
Brain Sci. 2025, 15(8), 869; https://doi.org/10.3390/brainsci15080869 - 15 Aug 2025
Viewed by 366
Abstract
Background/Objectives: Tinnitus has been increasingly recognized not only as an auditory disturbance but also as a condition that is potentially linked to cognitive decline, particularly in older adults. However, the relationship between tinnitus characteristics and cognitive impairment remains underexplored in clinical settings. This [...] Read more.
Background/Objectives: Tinnitus has been increasingly recognized not only as an auditory disturbance but also as a condition that is potentially linked to cognitive decline, particularly in older adults. However, the relationship between tinnitus characteristics and cognitive impairment remains underexplored in clinical settings. This study aimed to (1) evaluate the association between chronic tinnitus and cognitive function in adults aged 60 years and above using standardized tools, and (2) determine whether tinnitus severity and duration are associated with increased risk of cognitive impairment. Methods: A cross-sectional study was conducted among 240 older adults, divided into tinnitus (n = 120) and non-tinnitus (n = 120) groups. Cognitive function was assessed using the Mini-Cog (0–5) and SPMSQ (0–10) tools. Tinnitus severity and duration were evaluated using the Tinnitus Handicap Inventory (THI), Visual Analogue Scale (VAS), and duration categories. Results: Participants with tinnitus were significantly older and had higher rates of hearing loss (58.33% vs. 33.33%, p = 0.001), depression (37.50% vs. 18.33%, p = 0.002), and poor sleep quality (51.67% vs. 31.67%, p = 0.003). Mini-Cog and SPMSQ scores were significantly lower in the tinnitus group (2.87 ± 1.14 vs. 3.52 ± 1.06; 6.95 ± 1.42 vs. 8.02 ± 1.18; both p < 0.001). Tinnitus presence, longer duration, and higher severity were independently associated with cognitive impairment. Each 10-point increase in THI score increased the odds of impairment by 45% (OR = 1.45, p < 0.001). Conclusions: Tinnitus burden, particularly when severe and prolonged, is significantly associated with cognitive impairment in older adults. These findings highlight the need for cognitive screening and integrated management in this population. Full article
(This article belongs to the Special Issue Risk Factors for Tinnitus and Tinnitus-Related Disease)
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17 pages, 1131 KiB  
Article
The Association Between Indoor Air Pollutants and Brain Structure Indicators Using eTIV-Adjusted and Unadjusted Models: A Study in Seoul and Incheon
by Sun-Min An and Ho-Hyun Kim
Brain Sci. 2025, 15(8), 868; https://doi.org/10.3390/brainsci15080868 - 14 Aug 2025
Viewed by 324
Abstract
Background/Objectives: As older adults spend increasing amounts of time indoors, concerns are rising about the neurological effects of indoor air pollution. This study examined associations between indoor air pollutants and structural brain changes in community-dwelling older adults in Seoul and Incheon, South Korea. [...] Read more.
Background/Objectives: As older adults spend increasing amounts of time indoors, concerns are rising about the neurological effects of indoor air pollution. This study examined associations between indoor air pollutants and structural brain changes in community-dwelling older adults in Seoul and Incheon, South Korea. A purposive sample of 23 individuals aged ≥65 years was recruited. Internet of Things (IoT)-based devices were installed in participants’ homes to continuously monitor indoor concentrations of PM10, PM2.5, and CO2 for over two months. All participants underwent 3T brain magnetic resonance imaging (MRI), and brain structure metrics were analyzed using multiple linear regression models with and without adjustment for estimated total intracranial volume (eTIV). Hierarchical clustering was also performed based on exposure and neuroanatomical characteristics. Brain MRI indicators included cortical surface area, cortical thickness in six regions, and volumes of seven subcortical structures including the hippocampus and amygdala. Higher CO2 concentrations were significantly associated with lower hippocampal volumes in both hemispheres (left: −2.83, −0.88, −1.02 mm3; right: −3.29, −0.86, −0.99 mm3; p ≤ 0.05). Elevated PM2.5 levels were associated with reduced bilateral amygdala volume (−283.24 mm3 left; −292.37 mm3 right) and right hippocampal volume (−544.55 mm3; p ≤ 0.05). Cluster analysis showed that, before eTIV adjustment, Group C exhibited the lowest subcortical volumes. After adjustment, Group A showed the smallest cortical surface area, and Group D had the lowest subcortical volumes. These findings suggest that indoor air pollutants, including PM10, PM2.5, and CO2, may be associated with structural brain alterations in older adults, supporting the need for age-specific indoor air quality standards and residential monitoring systems. Full article
(This article belongs to the Section Environmental Neuroscience)
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2 pages, 155 KiB  
Comment
Losing Your Sense of Smell: It Can Be Worse than Imagined. Comment on Becht et al. Losing Your Sense of Smell: How Bad Is It?—A Comparative Study on the Personal Importance of Smell. Brain Sci. 2025, 15, 218
by Alexander Wieck Fjaeldstad and Thomas Hummel
Brain Sci. 2025, 15(8), 867; https://doi.org/10.3390/brainsci15080867 - 14 Aug 2025
Viewed by 212
Abstract
Becht et al [...] Full article
(This article belongs to the Section Sensory and Motor Neuroscience)
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