NeurosciencePub Date : 2025-05-06DOI: 10.1016/j.neuroscience.2025.05.009
Jiaxin Sun , Guolei Liao , Ping Wang , Jingyuan Zhang , Hongling Jing , Feng Lin , Yuhang Wang , Xinying Chen , Lei Zhang , Wenli Chen
{"title":"Beyond lipid management: Clofibrate’s anti-neuroinflammation role via NF-κB inhibition in ischemic stroke","authors":"Jiaxin Sun , Guolei Liao , Ping Wang , Jingyuan Zhang , Hongling Jing , Feng Lin , Yuhang Wang , Xinying Chen , Lei Zhang , Wenli Chen","doi":"10.1016/j.neuroscience.2025.05.009","DOIUrl":"10.1016/j.neuroscience.2025.05.009","url":null,"abstract":"<div><div>Ischemic stroke(IS) is the second leading cause of mortality and disability worldwide and neuroimmunity plays an important role in its occurrence and development. The pathogenesis of IS is associated with various metabolic disorders. Yet reports on the amelioration of neuroinflammation by modulating metabolic disorders in clinical practice are scarce. By screening drugs targeting the inflammatory cytokine pro IL-1β in the metabolism-related compound library, we first found that clofibrate, an antihyperlipidemic drug, has an anti-neuroinflammatory effect. However, the role of clofibrate in exerting anti-inflammatory effects in IS and its underlying mechanisms remain unclear. To further investigate the role of clofibrate, we administered clofibrate in an LPS-stimulated microglial cell model and in mice with transient middle cerebral artery occlusion. Notably, clofibrate lowered IL-1β expression, both in vivo and in vitro. Simultaneously, clofibrate reduced infarct volume after ischemia and reperfusion. Moreover, clofibrate affected IS by regulating the expression of NF-κB p65 and NLRP3, thus suppressing the expression of inflammatory factors. These findings suggest that clofibrate could be a prospective medication to alleviate neuroinflammation in IS.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 144-153"},"PeriodicalIF":2.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144005910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurosciencePub Date : 2025-05-06DOI: 10.1016/j.neuroscience.2025.04.032
Alfred Kongnyu Njamnshi , Jacques Fame Ndongo , Ferdinand Ngoh Ngoh , Lejeune Mbella Mbella , Paul M. Ghogomu , Séraphin M. Fouda , Marie-Thérèse A. Ondoa Obama , Madeleine Tchuinte , Alamine Ousmane Mey , Malachie Manaouda , Joseph Beti Assomo , René E. Sadi , Louis-Paul Motaze , Emmanuel Nganou Djoumessi , Minette Libom Li Likeng , Pauline E. Nalova Lyonga , Laurent S. Etoundi Ngoa , Mounouna Foutsou , Narcisse Mouelle Kombi , Bakary Issa Tchiroma , Harris A. Eyre
{"title":"African leadership in brain diplomacy: The Yaoundé declaration advances the global brain economy playbook for better brain health","authors":"Alfred Kongnyu Njamnshi , Jacques Fame Ndongo , Ferdinand Ngoh Ngoh , Lejeune Mbella Mbella , Paul M. Ghogomu , Séraphin M. Fouda , Marie-Thérèse A. Ondoa Obama , Madeleine Tchuinte , Alamine Ousmane Mey , Malachie Manaouda , Joseph Beti Assomo , René E. Sadi , Louis-Paul Motaze , Emmanuel Nganou Djoumessi , Minette Libom Li Likeng , Pauline E. Nalova Lyonga , Laurent S. Etoundi Ngoa , Mounouna Foutsou , Narcisse Mouelle Kombi , Bakary Issa Tchiroma , Harris A. Eyre","doi":"10.1016/j.neuroscience.2025.04.032","DOIUrl":"10.1016/j.neuroscience.2025.04.032","url":null,"abstract":"<div><div>Africa, the world’s second-largest continent is home to 1.5 billion people, accounting for nearly 20% of the global population, (60% under age 25). By 2050, Africa’s population will be 2.5 billion, and by 2035, <span><span>more young Africans will be entering the workforce each year</span><svg><path></path></svg></span> than in the rest of the world combined. Africa also hosts a rich social, cultural, and geopolitical diversity across its 5 geopolitical zones covering 54 countries. It is the most genetically, culturally, and linguistically diverse region on the planet. However, Africa’s contribution to the global economy could be more significant if it urgently embraces the brain economy and leads in the development of new methodologies and approaches which can be exported around the world.</div><div>In this paper, we explain our strategy to advance the Yaoundé Declaration for the Brain Economy, Brain Health, and Brain Capital. The Declaration has been endorsed by Cameroon’s President, His Excellency Paul Biya, and demonstrates African leadership in global brain and society innovations, laying out a roadmap for how Africa can outcompete other economies by deftly deploying brain science-inspired policies and investments. We outline a new economic approach for African jobs, economic growth, sustainability, resilience, health, and well-being.</div><div>The brain economy offers a broader framework than the current sustainable development goals (SDG) agenda. The Yaoundé Declaration is <em>trans</em>-disciplinary and cross-cutting across sectors: 32 sitting members of government from different sectors having co-authored this paper. It aligns with many aspects of the <span><span>United Nations Pact for the Future</span><svg><path></path></svg></span> and can accelerate the SDG.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 161-174"},"PeriodicalIF":2.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144014048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurosciencePub Date : 2025-05-05DOI: 10.1016/j.neuroscience.2025.05.004
Aliaa A. Elhosseiny , Seif Eldawlatly , Eman Ramadan , Axel Börsch-Supan , Mohamed Salama
{"title":"Optimizing elderly care: A data-driven AI model for predicting polypharmacy risk in the elderly using SHARE data","authors":"Aliaa A. Elhosseiny , Seif Eldawlatly , Eman Ramadan , Axel Börsch-Supan , Mohamed Salama","doi":"10.1016/j.neuroscience.2025.05.004","DOIUrl":"10.1016/j.neuroscience.2025.05.004","url":null,"abstract":"<div><h3>Background</h3><div>Aging is frequently accompanied by multimorbidity, the presence of multiple chronic conditions, which contributes to declines in both cognitive and physical function and presents complex health challenges. One such challenge is Polypharmacy (PP), defined as the concurrent use of more than five medications.</div></div><div><h3>Methods</h3><div>We used data from participants older than 50 years who were present in wave 6 and at least one of the subsequent three waves of the SHARE study, aiming to predict PP risk at 2, 4, and 6-year intervals. We selected the predictor variables using LASSO regression and evaluated eight ML models using a rigorous cross-validation strategy to ensure robustness and reliability.</div></div><div><h3>Findings</h3><div>Our analysis reveals an upward trend in PP prevalence across the surveyed countries, with aggregate figures rising from 34.03% (95% CI 33.1-34.9) in wave 7 to 36.75% (95% CI 35.6-37.9) in wave 8, reaching 39.91% (95% CI 38.9-40.9) in wave 9. LASSO regression identified 17 key predictors of PP risk, which were related to socio-demographic factors, lifestyle factors, physical and mental health, and disease history. Among the models evaluated, the Categorical Boosting ML model performed best, yielding overall accuracies of 75.08%, 73.7%, and 71.65% and recall rates of 72.83%, 70.48%, and 67.96% for the 2, 4, and 6-year intervals, respectively.</div></div><div><h3>Interpretation</h3><div>This study uncovers a rising trend of PP. It demonstrated the potential of using longitudinal data and ML to predict PP. Moreover, our findings suggest that mental health is an important factor to consider when addressing PP.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 132-143"},"PeriodicalIF":2.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144030565","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals","authors":"Sandeep Singh Sikarwar , Arun Kumar Rana , Sandeep Singh Sengar","doi":"10.1016/j.neuroscience.2025.05.003","DOIUrl":"10.1016/j.neuroscience.2025.05.003","url":null,"abstract":"<div><div>Epilepsy is one of the most frequently occurring neurological disorders that require early and accurate detection. This paper introduces a novel approach for the automatic identification of epilepsy in EEG signals by incorporating advanced entropy-based measures with modern pre-processing techniques. The objective is to develop a robust and effective epilepsy detection method. EEG data were pre-processed using adaptive wavelet denoising models to suppress noise while preserving signal integrity. Multivariate entropy features, including Multiple Variable Permutation Entropy (mvMPE) and Multiple Variable Multi-Scale Fuzzy Entropy (mvMFE), were extracted to capture both complexity and frequency-specific variations. Additionally, Uniform Manifold Approximation and Projection (UMAP) was applied for non-linear dimensionality reduction, enhancing the discriminative power of features. A Residual Convolutional Neural Network (ResNet) integrated with Bi-Directional Long Short-Term Memory (Bi-LSTM) was employed to capture both temporal dynamics and spatial features. The proposed model demonstrated superior classification accuracy compared to traditional approaches. Implemented using Python, the model achieved an accuracy of 94%, F1-Score of 96%, recall of 93%, specificity of 87.70%, and precision of 82.21%. This study highlights the synergy between advanced entropy measures and cutting-edge deep learning architectures for robust and accurate epilepsy detection.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 12-24"},"PeriodicalIF":2.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143942131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurosciencePub Date : 2025-05-04DOI: 10.1016/j.neuroscience.2025.05.007
Siyu Sun, Siqi Wang, Yujun Gao, Minghu Cui
{"title":"Advancements in the study of large-scale network alterations in brain functional connectivity among individuals with bipolar disorder.","authors":"Siyu Sun, Siqi Wang, Yujun Gao, Minghu Cui","doi":"10.1016/j.neuroscience.2025.05.007","DOIUrl":"https://doi.org/10.1016/j.neuroscience.2025.05.007","url":null,"abstract":"<p><strong>Background: </strong>Bipolar disorder (BD) is characterized by structural and functional impairments of varying severity. However, inconsistent findings from previous studies have led to an incomplete understanding of the precise associations both within and between functional networks in BD. Analysis from a large-scale network perspective may offer more comprehensive insights.</p><p><strong>Method: </strong>Studies that used functional magnetic resonance imaging (fMRI) to explore the changes in functional connectivity (FC) within and between major brain networks in patients with BD were included by searching for keywords such as \"bipolar disorder,\" \"brain networks,\" and \"functional connectivity\" in PubMed and Web of Science.</p><p><strong>Result: </strong>51 studies met the inclusion criteria. At rest, BD patients exhibited reduced intrinsic connectivity within the default mode network (DMN), salience network (SAN), and central executive network (CEN). Furthermore, alterations were observed in other networks, suggesting a complex pattern of connectivity changes associated with emotional states and cognitive functions.</p><p><strong>Conclusion: </strong>BD disrupts the activity of brain networks during both resting state and task stimulation. Posterior cingulate cortex (PCC), anterior insula (AI), postcentral gyrus (PoCG), and precuneus (PreCu) play a crucial role in the identification and diagnosis of BD. They are significant in differentiating BD from other mental illnesses and assessing patients' cognitive deficits. However, this study has limitations in the insufficient exploration of other potentially related networks.</p>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":" ","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144029514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurosciencePub Date : 2025-05-04DOI: 10.1016/j.neuroscience.2025.05.006
W. Dupont , F. Lebon , C. Papaxanthis , C. Madden-Lombardi
{"title":"Response to methodological criticisms: Reliable support for the simulation of negated actions in the primary motor cortex","authors":"W. Dupont , F. Lebon , C. Papaxanthis , C. Madden-Lombardi","doi":"10.1016/j.neuroscience.2025.05.006","DOIUrl":"10.1016/j.neuroscience.2025.05.006","url":null,"abstract":"","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 10-11"},"PeriodicalIF":2.9,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143924688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurosciencePub Date : 2025-05-04DOI: 10.1016/j.neuroscience.2025.05.008
Nikaela Losievski , Pooja Kamath , Ashley Fox , Natalie M. Aloi , Megan C. Baird , Amy Everest , Thomas L. Gallagher , Sharon L. Amacher , Stephen J. Kolb
{"title":"srp54 promotes motor neuron development and is required for motility in zebrafish","authors":"Nikaela Losievski , Pooja Kamath , Ashley Fox , Natalie M. Aloi , Megan C. Baird , Amy Everest , Thomas L. Gallagher , Sharon L. Amacher , Stephen J. Kolb","doi":"10.1016/j.neuroscience.2025.05.008","DOIUrl":"10.1016/j.neuroscience.2025.05.008","url":null,"abstract":"<div><div>The signal recognition particle (SRP) is a highly conserved ribonucleoprotein (RNP) that translocates a subset of secreted and integral membrane proteins to the endoplasmic reticulum for proper localization. The most conserved SRP protein component, SRP54, has been implicated in the molecular etiology of spinal muscular atrophy (SMA). A key feature of SMA is the selective loss of motor neurons; however, the mechanism underlying this selectivity is unknown. SMA arises from deficient levels of the ubiquitously expressed Survival of Motor Neuron (SMN) protein. SMN is proposed to assemble the SRP, and SMN deficiency in SMA may attenuate SRP function and contribute to motor neuron death in patients. Using zebrafish embryos homozygous for a <em>srp54</em> nonsense mutation (<em>srp54<sup>-/-</sup></em>), we investigated the requirement of Srp54 protein in motor axon development. The first grossly distinguishable phenotype observed in <em>srp54<sup>-/-</sup></em> embryos was reduced motility at 30 h postfertilization (hpf). Additionally, we detected reduced length and branching of caudal primary motor axons in <em>srp54<sup>-/-</sup></em> embryos compared to <em>srp54<sup>+/+</sup></em> and <em>srp54<sup>+/-</sup></em> siblings at 30 hpf, suggesting that defective motor neurons may contribute to the observed immotility. We also examined additional neural, secretory, and migratory cell types at 30 hpf to assess whether motor neurons are especially vulnerable to Srp54 deficiency. Of the cell types evaluated, only the hatching gland had distinct expression pattern alterations in <em>srp54<sup>-/-</sup></em> embryos at this developmental stage. Our findings suggest that Srp54 deficiency results in motor neuron developmental defects and support the hypothesis that SRP54 may influence motor neuron selectivity in SMA.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"579 ","pages":"Pages 24-34"},"PeriodicalIF":2.9,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144020867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurosciencePub Date : 2025-05-03DOI: 10.1016/j.neuroscience.2025.05.005
Masayoshi Kobayashi, Kohei Nishida, Kanta Yamakata, Kazuhiko Takeuchi
{"title":"Aging inhibits olfactory recovery from traumatic olfactory system injury","authors":"Masayoshi Kobayashi, Kohei Nishida, Kanta Yamakata, Kazuhiko Takeuchi","doi":"10.1016/j.neuroscience.2025.05.005","DOIUrl":"10.1016/j.neuroscience.2025.05.005","url":null,"abstract":"<div><div>Although recent advances in treatment of traumatic olfactory dysfunction, which had a low rate of improvement through treatment, have increased the improvement rate in younger patients, it remains low in middle-aged and older patients. Although olfactory function declines with age, its impact on traumatic dysfunction recovery remains unclear. This study was conducted to investigate the effects of aging on olfactory nerve regeneration and olfactory function recovery in an animal model of traumatic olfactory injury.</div><div>Behavioral experiment using olfactory preference and morphological measurements were performed on OMP-tau-lacZ mice at 3 months, 1.0 year and 1.5 years old, in which the olfactory nerve can be visualized after X-gal staining. In the behavioral experiments, we measured the time required for mice to search for and find a piece of potato chip hidden under the cage bedding. The head trauma model included a bilateral olfactory nerve transection (BNTx) group and a control craniotomy alone without BNTx group. In each age and surgery group, behavioral olfactory tests were performed 6 weeks (42 days) and 1.0 year (365 days) after surgery. The reinnervation of olfactory nerve axons to the olfactory bulb was then assessed in histological tissue samples from the mice.</div><div>The older BNTx group performed worse in behavioral tests than the younger BNTx group, and reinnervation of olfactory nerve axons to the olfactory bulb was lower in the older BNTx group.</div><div>These findings suggest that aging leads to poor olfactory nerve axon regeneration and poor recovery of olfactory function after olfactory nerve transection injury.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 64-70"},"PeriodicalIF":2.9,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143948973","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Effects of transcranial electrical stimulation on academic and cognitive skills in individuals with specific learning disabilities: A systematic review","authors":"Elahe Fathi Azar , Hooshang Mirzaie , Sahar Oftadeh Balani , Mahnaz Hejazi-Shirmard","doi":"10.1016/j.neuroscience.2025.04.045","DOIUrl":"10.1016/j.neuroscience.2025.04.045","url":null,"abstract":"<div><div>There has been a rising interest in utilizing transcranial electrical stimulation (TES) techniques to induce neuroplasticity and modulate cognition in children and adults. Despite the escalating interest in non-pharmacological interventions in people with specific learning disabilities (SLD), there is a noticeable absence of a thorough and up-to-date review that consolidates studies of TES in individuals with SLD.A systematic literature search, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, was conducted across PubMed, Scopus, Web of Science, Google Scholar, and Embase databases, covering the period from 2000 to September 2024. Study eligibility criteria were pre-established using the Population, Intervention, Comparison, and Outcome (PICO) model. The grade of recommendation (GOR) for each learning disability was determined based on the level of evidence (LOE). Out of 1571 initial references, the screening resulted in inclusion of nineteen studies (17 dyslexia, 2 dyscalculia). The total number of participants in the included studies was 470, of which 249 were female (52.97 %) and 221 were male (47.03 %). The mean age of participants ranged from 9.5 to 33 years. Fifteen studies employed tDCS, one study used tACS and tRNS, and one utilized tRNS exclusively. TES interventions, especially tDCS, enhanced phonological awareness, improved reading accuracy, and reduced reading time in individuals with dyslexia. In those with dyscalculia, TES improved mathematical performance but did not demonstrate significant effects on cognitive skills. Findings suggest TES interventions, particularly tDCS, are beneficial for improving cognitive skills and reading performance in individuals with dyslexia.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"576 ","pages":"Pages 241-252"},"PeriodicalIF":2.9,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143917582","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
NeurosciencePub Date : 2025-05-02DOI: 10.1016/j.neuroscience.2025.04.037
Likai Wang , Qianxi Xu , Meiling Luo , Xiangxin Xing , Jie Wang , Yanan Liang , Jiahui Zhang , Run Sheng , Shuangyang Niu , Yonghui Wang
{"title":"Vagus nerve stimulation in various stages of stroke and associated functional impairments: A review","authors":"Likai Wang , Qianxi Xu , Meiling Luo , Xiangxin Xing , Jie Wang , Yanan Liang , Jiahui Zhang , Run Sheng , Shuangyang Niu , Yonghui Wang","doi":"10.1016/j.neuroscience.2025.04.037","DOIUrl":"10.1016/j.neuroscience.2025.04.037","url":null,"abstract":"<div><div>Stroke remains a leading cause of long-term disability and mortality, emphasizing the need for innovative rehabilitation strategies that address recovery across different stages. Vagus nerve stimulation (VNS), including both invasive and non-invasive techniques, has emerged as a promising intervention to enhance neuroprotection and functional recovery in stroke rehabilitation. This review synthesizes preclinical and clinical research on VNS, highlighting its mechanisms, applications, and challenges in stroke treatment. VNS influences key neurophysiological processes, including anti-inflammatory responses mediated by the α7 nicotinic acetylcholine receptor, modulation of apoptotic pathways, reduction of oxidative stress, and enhancement of neuroplasticity and angiogenesis. Importantly, VNS exerts significant effects on glial cells, particularly microglia and astrocytes, which are crucial for neuroinflammation modulation and neural repair. Clinical evidence supports the use of VNS in improving motor function, cognitive performance, and emotional well-being, with significant benefits noted when VNS is combined with task-specific training. Despite these promising findings, variability in patient response, optimal stimulation parameters, and long-term efficacy remain areas for further investigation. Identifying biomarkers and refining stimulation protocols are crucial to tailoring VNS treatment and maximizing therapeutic outcomes. This review underscores the potential of VNS as an adjunctive therapy in stroke cure and advocates for continued research to integrate personalized, technology-driven approaches for comprehensive patient care.</div></div>","PeriodicalId":19142,"journal":{"name":"Neuroscience","volume":"577 ","pages":"Pages 80-113"},"PeriodicalIF":2.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144006038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}