Frontiers in Neuroscience最新文献

{"title":"AM-MTEEG: multi-task EEG classification based on impulsive associative memory.","authors":"Junyan Li, Bin Hu, Zhi-Hong Guan","doi":"10.3389/fnins.2025.1557287","DOIUrl":"10.3389/fnins.2025.1557287","url":null,"abstract":"<p><p>Electroencephalogram-based brain-computer interfaces (BCIs) hold promise for healthcare applications but are hindered by cross-subject variability and limited data. This article proposes a multi-task (MT) classification model, AM-MTEEG, which integrates deep learning-based convolutional and impulsive networks with bidirectional associative memory (AM) for cross-subject EEG classification. AM-MTEEG deals with the EEG classification of each subject as an independent task and utilizes common features across subjects. The model is built with a convolutional encoder-decoder and a population of impulsive neurons to extract shared features across subjects, as well as a Hebbian-learned bidirectional associative memory matrix to classify EEG within one subject. Experimental results on two BCI competition datasets demonstrate that AM-MTEEG improves average accuracy over state-of-the-art methods and reduces performance variance across subjects. Visualization of neuronal impulses in the bidirectional associative memory network reveal a precise mapping between hidden-layer neuron activities and specific movements. Given four motor imagery categories, the reconstructed waveforms resemble the real event-related potentials, highlighting the biological interpretability of the model beyond classification.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1557287"},"PeriodicalIF":3.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922916/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improvement of BCI performance with bimodal SSMVEPs: enhancing response intensity and reducing fatigue.","authors":"Junjie Liu, Jun Xie, Huanqing Zhang, Hanlin Yang, Yixuan Shao, Yujie Chen","doi":"10.3389/fnins.2025.1506104","DOIUrl":"10.3389/fnins.2025.1506104","url":null,"abstract":"<p><p>Steady-state visual evoked potential (SSVEP) is a widely used brain-computer interface (BCI) paradigm, valued for its multi-target capability and limited EEG electrode requirements. Conventional SSVEP methods frequently lead to visual fatigue and decreased recognition accuracy because of the flickering light stimulation. To address these issues, we developed an innovative steady-state motion visual evoked potential (SSMVEP) paradigm that integrated motion and color stimuli, designed specifically for augmented reality (AR) glasses. Our study aimed to enhance SSMVEP response intensity and reduce visual fatigue. Experiments were conducted under controlled laboratory conditions. EEG data were analyzed using the deep learning algorithm of EEGNet and fast Fourier transform (FFT) to calculate the classification accuracy and assess the response intensity. Experimental results showed that the bimodal motion-color integrated paradigm significantly outperformed single-motion SSMVEP and single-color SSVEP paradigms, respectively, achieving the highest accuracy of 83.81% ± 6.52% under the medium brightness (<i>M</i>) and area ratio of <i>C</i> of 0.6. Enhanced signal-to-noise ratio (SNR) and reduced visual fatigue were also observed, as confirmed by objective measures and subjective reports. The findings verified the bimodal paradigm as a novel application in SSVEP-based BCIs, enhancing both brain response intensity and user comfort.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1506104"},"PeriodicalIF":3.2,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922886/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143669519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oxidative stress and inflammation combine to exacerbate cochlear damage and sensorineural hearing loss in C57BL/6 mice.","authors":"Zhongwu Su, Yuyan Chen, Yu Liu, Jinyuan Cao, Jie Cui, Haitong Chen, Qi Li","doi":"10.3389/fnins.2025.1563428","DOIUrl":"10.3389/fnins.2025.1563428","url":null,"abstract":"<p><strong>Background: </strong>Sensorineural hearing loss (SNHL) is among the most common sensory disorders, significantly affecting various aspects of the quality of life of an individual. Oxidative stress and inflammation have been involved in the progression of various forms of SNHL and are potential pathological mechanisms of the disorder. However, the synergistic effects of oxidative stress and inflammation on cochlear function is not completely understood.</p><p><strong>Methods: </strong>We explored the effects of oxidative stress and inflammation on cochlear damage and hearing impairment in male C57BL/6 mice aged 6 to 7 weeks. These in the experimental group were administered with oxidant Menadione bisulfite (MD) and the endotoxin lipopolysaccharide (LPS) via intraperitoneal route to induce oxidative stress and inflammation, whereas the control group received saline. The degree of cochlear damage was analyzed based on auditory thresholds, hair cells (HCs) loss, and the expression of protein markers related to oxidative stress, inflammation, necroptosis, and ferroptosis.</p><p><strong>Results: </strong>After six days of alternating MD and LPS injections, there was a notable elevation in hearing thresholds, which was associated with a substantial loss of HCs and spiral ganglion cells. Immunofluorescence analysis demonstrated the activation of oxidative stress, inflammation, necroptosis, and ferroptosis signaling pathways after treatment. Notably, the administration of either MD or LPS alone did not result in significant changes.</p><p><strong>Conclusion: </strong>These findings indicate that the interaction between oxidative stress and inflammation may exacerbate cochlear damage and contribute to hearing loss, potentially through the activation of necroptosis and ferroptosis pathways. Our results may identify potential therapeutic targets for the management of SNHL.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1563428"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920578/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663320","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bibliometric analysis of the intestinal microbiota and demyelinating diseases, particularly multiple sclerosis, since 2014.","authors":"Ling Chen, Le-Le Wu, Chang-Yin Yu, Zu-Cai Xu, Hao Huang","doi":"10.3389/fnins.2025.1506566","DOIUrl":"10.3389/fnins.2025.1506566","url":null,"abstract":"<p><strong>Background: </strong>The gut-brain axis (GBA) represents a complex, bidirectional communication network that connects the central nervous system (CNS) and the gastrointestinal system. Our study aimed to explore the correlation between the intestinal microbiota and demyelinating diseases from a bibliometric perspective, focusing on research since 2014.</p><p><strong>Methods: </strong>A comprehensive search was carried out on the Web of Science Core Collection (WoSCC) to locate studies on the intestinal microbiota and demyelinating diseases, with a focus on publications from 1 January 2014 to 29 March 2024. We visualized and analyzed the data using VOSviewer, CiteSpace, and Charticulator.</p><p><strong>Results: </strong>We gathered 429 scholarly articles on the intestinal microbiota and demyelinating disorders published in the past 10 years. Research concerning the intestinal microbiota and demyelinating diseases has demonstrated a consistent increase in frequency over time. The USA has the highest number of publications, while Canada has the highest average number of citations, reaching as high as 3,429, which is greater than that of the USA. Moreover, the journal with the highest number of publications was Frontiers in Immunology, with 33 publications and 1,494 citations. The majority of the scholars focused on \"multiple sclerosis\" and \"gut microbiota,\" which are the primary keywords in the field of the intestinal microbiota and demyelinating diseases.</p><p><strong>Conclusion: </strong>This study conducted a comprehensive analysis of existing research investigating the correlation between the intestinal microbiota and demyelinating diseases. Using advanced bibliometric tools such as VOSviewer and CiteSpace, this study analyzed the intricate relationship between the intestinal microbiota and the pathogenesis of demyelinating conditions. In addition, the study used literature statistical analysis to identify research hotspots and future directions in the field.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1506566"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919904/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663305","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design of CMOS-memristor hybrid synapse and its application for noise-tolerant memristive spiking neural network.","authors":"Jae Gwang Lim, Sang Min Lee, Sung-Jae Park, Joon Young Kwak, Yeonjoo Jeong, Jaewook Kim, Suyoun Lee, Jongkil Park, Gyu Weon Hwang, Kyeong-Seok Lee, Seongsik Park, Byeong-Kwon Ju, Hyun Jae Jang, Jong Keuk Park, Inho Kim","doi":"10.3389/fnins.2025.1516971","DOIUrl":"10.3389/fnins.2025.1516971","url":null,"abstract":"<p><p>In view of the growing volume of data, there is a notable research focus on hardware that offers high computational performance with low power consumption. Notably, neuromorphic computing, particularly when utilizing CMOS-based hardware, has demonstrated promising research outcomes. Furthermore, there is an increasing emphasis on the utilization of emerging synapse devices, such as non-volatile memory (NVM), with the objective of achieving enhanced energy and area efficiency. In this context, we designed a hardware system that employs memristors, a type of emerging synapse, for a 1T1R synapse. The operational characteristics of a memristor are dependent upon its configuration with the transistor, specifically whether it is located at the source (MOS) or the drain (MOD) of the transistor. Despite its importance, the determination of the 1T1R configuration based on the operating voltage of the memristor remains insufficiently explored in existing studies. To enable seamless array expansion, it is crucial to ensure that the unit cells are properly designed to operate reliably from the initial stages. Therefore, this relationship was investigated in detail, and corresponding design rules were proposed. SPICE model based on fabricated memristors and transistors was utilized. Using this model, the optimal transistor selection was determined and subsequently validated through simulation. To demonstrate the learning capabilities of neuromorphic computing, an SNN inference accelerator was implemented. This implementation utilized a 1T1R array constructed based on the validated 1T1R model developed during the process. The accuracy was evaluated using a reduced MNIST dataset. The results verified that the neural network operations inspired by brain functionality were successfully implemented in hardware with high precision and no errors. Additionally, traditional ADC and DAC, commonly used in DNN research, were replaced with DPI and LIF neurons, resulting in a more compact design. The design was further stabilized by leveraging the low-pass filter effect of the DPI circuit, which effectively mitigated noise.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1516971"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920157/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disulfidptosis: a new target for central nervous system disease therapy.","authors":"Jing Chang, Danhong Liu, Yuqi Xiao, Boyao Tan, Jun Deng, Zhigang Mei, Jun Liao","doi":"10.3389/fnins.2025.1514253","DOIUrl":"10.3389/fnins.2025.1514253","url":null,"abstract":"<p><p>Disulfidptosis is a pathologic process that occurs under conditions of NADPH deficiency and excess disulfide bonds in cells that express high levels of SLC7A11. This process is caused by glucose deprivation-induced disulfide stress and was first described by cancer researchers. Oxidative stress is a hypothesized mechanism underlying diseases of the central nervous system (CNS), and disulfide stress is a specific type of oxidative stress. Proteins linked to disulfidptosis and metabolic pathways involved in disulfidptosis are significantly associated with diseases of the CNS (neurodegenerative disease, neurogliomas and ischemic stroke). However, the specific mechanism responsible for this correlation remains unknown. This review provides a comprehensive overview of the current knowledge regarding the origin elements, genetic factors, and signaling proteins involved in the pathogenesis of disulfidptosis. It demonstrates that the disruption of thiometabolism and disulfide stress play critical roles in CNS diseases, which are associated with the potential role of disulfidptosis. We also summarize disulfidptosis-related drugs and highlight potential therapeutic strategies for treating CNS diseases. Additionally, this paper suggests a testable hypothesis that might be a promising target for treating CNS diseases.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1514253"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920580/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the dynamic effects of major depressive disorder and its rTMS interventions through energy landscape analysis.","authors":"Chun-Wang Su, Yurui Tang, Nai-Long Tang, Nian Liu, Jing-Wen Li, Shun Qi, Hua-Ning Wang, Zi-Gang Huang","doi":"10.3389/fnins.2025.1444999","DOIUrl":"10.3389/fnins.2025.1444999","url":null,"abstract":"<p><strong>Introduction: </strong>Brain dynamics offer a more direct insight into brain function than network structure, providing a profound understanding of dysregulation and control mechanisms within intricate brain systems. This study investigates the dynamics of functional brain networks in major depressive disorder (MDD) patients to decipher the mechanisms underlying brain dysfunction during depression and assess the impact of repetitive transcranial magnetic stimulation (rTMS) intervention.</p><p><strong>Methods: </strong>We employed energy landscape analysis of functional magnetic resonance imaging (fMRI) data to examine the dynamics of functional brain networks in MDD patients. The analysis focused on key dynamical indicators of the default mode network (DMN), the salience network (SN), and the central execution network (CEN). The effects of rTMS intervention on these networks were also evaluated.</p><p><strong>Results: </strong>Our findings revealed notable dynamical alterations in the pDMN, the vDMN, and the aSN, suggesting their potential as diagnostic and therapeutic markers. Particularly striking was the altered activity observed in the dDMN in the MDD group, indicative of patterns associated with depressive rumination. Notably, rTMS intervention partially reverses the identified dynamical alterations.</p><p><strong>Discussion: </strong>Our results shed light on the intrinsic dysfunction mechanisms of MDD from a dynamic standpoint and highlight the effects of rTMS intervention. The identified alterations in brain network dynamics provide promising analytical markers for the diagnosis and treatment of MDD. Future studies should further explore the clinical applications of these markers and the comprehensive dynamical effects of rTMS intervention.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1444999"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920141/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bioinformatics analysis of electroacupuncture treatment for ischemic stroke: exploring transcriptional regulatory mechanisms mediated by super-enhancers.","authors":"Chunxiao Wu, Qizhang Wang, Zhirui Xu, Chuyu Deng, Chunzhi Tang","doi":"10.3389/fnins.2025.1522466","DOIUrl":"10.3389/fnins.2025.1522466","url":null,"abstract":"<p><strong>Background: </strong>Ischemic stroke is a leading cause of disability and mortality, imposing substantial physical, emotional, and economic burdens on patients and society. This study aimed to explore the regulatory effects of super-enhancers (SEs) on gene expression in the context of ischemic stroke and their potential transcriptional regulatory mechanisms.</p><p><strong>Methods: </strong>Super-enhancers were identified via H3K27ac chromatin immunoprecipitation sequencing (ChIP-seq) and ROSE software. RNA-sequencing (RNA-seq) was employed to screen for differentially expressed genes. A comparative analysis of ChIP-seq and RNA-seq data initially identified SE target genes, followed by further screening of key core differentially expressed SE target genes via the random forest method. The identified core SE target genes were initially validated through immunofluorescence and immunoblotting techniques. Additionally, potential core transcriptional regulatory circuits were preliminarily screened via the Coltron algorithm.</p><p><strong>Results: </strong>We identified SE-associated genes in the ischemic stroke model and electroacupuncture-treated groups, revealing 41 genes uniquely regulated by SEs in the electroacupuncture group compared with 367 in the model group. Enrichment analyses revealed that pathways involved in axon guidance, regulation of lipolysis in adipocytes and sphingolipid signaling pathway were significantly enriched in the SE target genes, suggesting that these pathways may be involved in the therapeutic effects of electroacupuncture. Notably, HDAC7 emerged as a key SE-driven gene; its expression was significantly reduced following electroacupuncture treatment, indicating its potential as a therapeutic target. Protein expression analyses confirmed elevated levels of HDAC7 in the model group, which were reduced by electroacupuncture intervention (<i>p</i> < 0.05). Furthermore, core transcriptional regulatory circuitries involving SOX8, FOXK1, and KLF13 were identified, highlighting their roles in the modulation of SE-mediated gene regulation by acupuncture in the ischemic stroke context.</p><p><strong>Conclusion: </strong>Overall, our findings provide novel insights into the molecular mechanisms by which acupuncture may treat ischemic stroke, identifying key SE target genes and transcriptional circuits as promising targets for future therapeutic strategies. Further research is warranted to validate these findings in clinical settings and explore the translational potential of acupuncture in ischemic stroke treatment.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1522466"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11920576/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emotion recognition based on multimodal physiological electrical signals.","authors":"Zhuozheng Wang, Yihan Wang","doi":"10.3389/fnins.2025.1512799","DOIUrl":"10.3389/fnins.2025.1512799","url":null,"abstract":"<p><p>With the increasing severity of mental health problems, the application of emotion recognition techniques in mental health diagnosis and intervention has gradually received widespread attention. Accurate classification of emotional states is important for individual mental health management. This study proposes a multimodal emotion recognition method based on the fusion of electroencephalography (EEG) and electrocardiography (ECG) signals, aiming at the accurate classification of emotional states, especially for the three dimensions of emotions (potency, arousal, and sense of dominance). To this end, a composite neural network model (Att-1DCNN-GRU) is designed in this paper, which combines a one-dimensional convolutional neural network with an attention mechanism and gated recurrent units, and improves the emotion recognition by extracting the time-domain, frequency-domain, and nonlinear features of the EEG and ECG signals, and by employing a Random Forest approach to feature filtering, so as to improve the emotion recognition accuracy and robustness. The proposed model is validated on the DREAMER dataset, and the results show that the model achieves the three dimensions of emotion: value, arousal and dominance, with a high classification accuracy, especially on the 'value' dimension, with an accuracy of 95.95%. The fusion model significantly improves the recognition effect compared with the traditional emotion recognition methods using only EEG or ECG signals. In addition, to further validate the generalisation ability of the model, this study was also validated on the DEAP dataset, and the results showed that the model also performed well in terms of cross-dataset adaptation. Through a series of comparison and ablation experiments, this study demonstrates the advantages of multimodal signal fusion in emotion recognition and shows the great potential of deep learning methods in processing complex physiological signals. The experimental results show that the Att-1DCNN-GRU model exhibits strong capabilities in emotion recognition tasks, provides valuable technical support for emotion computing and mental health management, and has broad application prospects.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1512799"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143663316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The systemic inflammation markers as potential predictors of disease progression and survival time in amyotrophic lateral sclerosis.","authors":"Ye Hong, Jian-Quan Shi, Shuai Feng, Shi-Qi Huang, Zhen-Hua Yuan, Shen Liu, Xiao-Hao Zhang, Jun-Shan Zhou, Teng Jiang, Hong-Dong Zhao, Ying-Dong Zhang","doi":"10.3389/fnins.2025.1552949","DOIUrl":"10.3389/fnins.2025.1552949","url":null,"abstract":"<p><strong>Introduction: </strong>Amyotrophic lateral sclerosis (ALS) is a fatal and untreatable neurodegenerative disease with only 3-5 years' survival time after diagnosis. Inflammation has been proven to play important roles in ALS progression. However, the relationship between systemic inflammation markers and ALS has not been well established, especially in Chinese ALS patients. The present study aimed to assess the predictive value of systemic inflammation markers including neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), lymphocyte to monocyte ratio (LMR), and systemic immune-inflammation index (SII) for Chinese amyotrophic lateral sclerosis (ALS).</p><p><strong>Methods: </strong>Seventy-two Chinese ALS patients and 73 controls were included in this study. The rate of disease progression was calculated as the change of Revised ALS Functional Rating Scale (ALSFRS-R) score per month. Patients were classified into fast progressors if the progression rate > 1.0 point/month and slow progressors if progression rate ≤ 1.0 point/month. The value of NLR, PLR, LMR, and SII were measured based on blood cell counts. The association between systemic inflammation markers and disease progression rate was confirmed by logistic regression analysis. Kaplan-Meier curve and Cox regression models were used to evaluate factors affecting the survival outcome of ALS patients.</p><p><strong>Results: </strong>For Chinese ALS patients, NLR, PLR and SII were higher, LMR was lower when compared with controls. All these four markers were proved to be independent correlated with fast progression of ALS. Both Kaplan-Meier curve and Cox regression analysis indicated that higher NLR and lower LMR were associated with shorter survival time in the ALS patients.</p><p><strong>Discussion: </strong>In conclusion, the systemic inflammation markers, especially NLR and LMR might be independent markers for rapid progression and shorter survival time in Chinese ALS patients.</p>","PeriodicalId":12639,"journal":{"name":"Frontiers in Neuroscience","volume":"19 ","pages":"1552949"},"PeriodicalIF":3.2,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11919871/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}