首页 > 最新文献

Frontiers in Neuroscience最新文献

英文 中文
Classification and transfer learning of sleep spindles based on convolutional neural networks 基于卷积神经网络的睡眠棘波分类和迁移学习
Pub Date : 2024-04-24 DOI: 10.3389/fnins.2024.1396917
Jun Liang, Abdelkader Nasreddine Belkacem, Yanxin Song, Jiaxin Wang, Zhiguo Ai, Xuanqi Wang, Jun Guo, Lingfeng Fan, Changming Wang, Bowen Ji, Zengguang Wang
Sleep plays a critical role in human physiological and psychological health, and electroencephalography (EEG), an effective sleep-monitoring method, is of great importance in revealing sleep characteristics and aiding the diagnosis of sleep disorders. Sleep spindles, which are a typical phenomenon in EEG, hold importance in sleep science.This paper proposes a novel convolutional neural network (CNN) model to classify sleep spindles. Transfer learning is employed to apply the model trained on the sleep spindles of healthy subjects to those of subjects with insomnia for classification. To analyze the effect of transfer learning, we discuss the classification results of both partially and fully transferred convolutional layers.The classification accuracy for the healthy and insomnia subjects’ spindles were 93.68% and 92.77%, respectively. During transfer learning, when transferring all convolutional layers, the classification accuracy for the insomnia subjects’ spindles was 91.41% and transferring only the first four convolutional layers achieved a classification result of 92.80%. The experimental results demonstrate that the proposed CNN model can effectively classify sleep spindles. Furthermore, the features learned from the data of the normal subjects can be effectively applied to the data for subjects with insomnia, yielding desirable outcomes.These outcomes underscore the efficacy of both the collected dataset and the proposed CNN model. The proposed model exhibits potential as a rapid and effective means to diagnose and treat sleep disorders, thereby improving the speed and quality of patient care.
睡眠对人的生理和心理健康起着至关重要的作用,而脑电图(EEG)作为一种有效的睡眠监测方法,在揭示睡眠特征和辅助诊断睡眠障碍方面具有重要意义。睡眠棘波是脑电图中的一种典型现象,在睡眠科学中具有重要意义。本文提出了一种新型卷积神经网络(CNN)模型,用于对睡眠棘波进行分类。本文提出了一种新的卷积神经网络(CNN)模型来对睡眠棘波进行分类,并采用迁移学习的方法,将在健康受试者睡眠棘波上训练的模型应用到失眠受试者的睡眠棘波上进行分类。为了分析迁移学习的效果,我们讨论了部分和完全迁移卷积层的分类结果。在转移学习过程中,当转移所有卷积层时,失眠受试者脊柱的分类准确率为 91.41%,而只转移前四个卷积层时,分类结果为 92.80%。实验结果表明,所提出的 CNN 模型能有效地对睡眠蛛网膜进行分类。此外,从正常受试者数据中学到的特征可有效地应用于失眠受试者的数据,并取得了理想的结果。所提出的模型有望成为诊断和治疗睡眠障碍的快速有效手段,从而提高病人护理的速度和质量。
{"title":"Classification and transfer learning of sleep spindles based on convolutional neural networks","authors":"Jun Liang, Abdelkader Nasreddine Belkacem, Yanxin Song, Jiaxin Wang, Zhiguo Ai, Xuanqi Wang, Jun Guo, Lingfeng Fan, Changming Wang, Bowen Ji, Zengguang Wang","doi":"10.3389/fnins.2024.1396917","DOIUrl":"https://doi.org/10.3389/fnins.2024.1396917","url":null,"abstract":"Sleep plays a critical role in human physiological and psychological health, and electroencephalography (EEG), an effective sleep-monitoring method, is of great importance in revealing sleep characteristics and aiding the diagnosis of sleep disorders. Sleep spindles, which are a typical phenomenon in EEG, hold importance in sleep science.This paper proposes a novel convolutional neural network (CNN) model to classify sleep spindles. Transfer learning is employed to apply the model trained on the sleep spindles of healthy subjects to those of subjects with insomnia for classification. To analyze the effect of transfer learning, we discuss the classification results of both partially and fully transferred convolutional layers.The classification accuracy for the healthy and insomnia subjects’ spindles were 93.68% and 92.77%, respectively. During transfer learning, when transferring all convolutional layers, the classification accuracy for the insomnia subjects’ spindles was 91.41% and transferring only the first four convolutional layers achieved a classification result of 92.80%. The experimental results demonstrate that the proposed CNN model can effectively classify sleep spindles. Furthermore, the features learned from the data of the normal subjects can be effectively applied to the data for subjects with insomnia, yielding desirable outcomes.These outcomes underscore the efficacy of both the collected dataset and the proposed CNN model. The proposed model exhibits potential as a rapid and effective means to diagnose and treat sleep disorders, thereby improving the speed and quality of patient care.","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"75 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140659408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
EBV and multiple sclerosis: expression of LMP2A in MS patients EB 病毒与多发性硬化症:多发性硬化症患者体内 LMP2A 的表达
Pub Date : 2024-04-24 DOI: 10.3389/fnins.2024.1385233
S. Agostini, R. Mancuso, Domenico Caputo, M. Rovaris, Mario Clerici
Several evidences, including increased serum titers of Epstein–Barr virus (EBV)-specific antibodies and the presence of EBV DNA in brain of patients suggest a possible role of this virus in the pathogenesis of Multiple Sclerosis (MS), a chronic neurodegenerative disease with an unknown etiopathology. Aim of the present study is to verify if the expression of LMP2A and EBNA-1, two EBV genes, is altered in MS patients. EBV viral load, LMP2A and EBNA-1 gene expression and EBNA-1 antibodies titers were evaluated in blood of EBV-seropositive MS patients (n = 57; 31 relapsing remitting –RRMS- and 26 progressive -PMS-patients) and age- and sex-matched healthy controls (HC, n = 49). Results showed that EBNA-1 and VCA antibodies titers are significantly augmented in MS patients compared to HC (p < 0.05 for both antibodies); detection of EBV DNA was more frequent as well in MS patients compared to HC, although without reaching statistical significance. Regarding viral gene expression, LMP2A was significantly more frequently detected and more expressed in MS patients compared to HC (p < 0.005) whereas no differences were observed for EBNA-1. Considering patients alone, EBNA-1 was significantly more frequent in PMS compared to RRMS (p < 0.05), whereas no differences were observed for LMP2A. Increased expression of the LMP2A latency-associated gene in MS patients supports the hypothesis that EBV plays a role in disease etiopathology.
一些证据,包括血清中爱泼斯坦-巴氏病毒(EBV)特异性抗体滴度的升高和患者大脑中 EBV DNA 的存在,都表明这种病毒可能在多发性硬化症(MS)的发病机制中起着重要作用。本研究的目的是验证 LMP2A 和 EBNA-1 这两个 EBV 基因的表达在多发性硬化症患者中是否发生了改变。本研究评估了 EBV 血清阳性多发性硬化症患者(57 人,其中 31 人为复发性缓解型多发性硬化症患者,26 人为进行性多发性硬化症患者)和年龄与性别匹配的健康对照组(49 人)血液中的 EBV 病毒载量、LMP2A 和 EBNA-1 基因表达以及 EBNA-1 抗体滴度。结果显示,与健康对照组相比,多发性硬化症患者的 EBNA-1 和 VCA 抗体滴度明显升高(两种抗体的 p < 0.05);与健康对照组相比,多发性硬化症患者的 EBV DNA 检测更为频繁,但未达到统计学意义。在病毒基因表达方面,多发性硬化症患者检测到 LMP2A 的频率和表达量明显高于普通人群(P < 0.005),而 EBNA-1 则无差异。仅就患者而言,与 RRMS 相比,EBNA-1 在 PMS 中的检出率明显更高(p < 0.05),而 LMP2A 则无差异。LMP2A潜伏相关基因在多发性硬化症患者中的表达增加支持了 EBV 在疾病病理中发挥作用的假设。
{"title":"EBV and multiple sclerosis: expression of LMP2A in MS patients","authors":"S. Agostini, R. Mancuso, Domenico Caputo, M. Rovaris, Mario Clerici","doi":"10.3389/fnins.2024.1385233","DOIUrl":"https://doi.org/10.3389/fnins.2024.1385233","url":null,"abstract":"Several evidences, including increased serum titers of Epstein–Barr virus (EBV)-specific antibodies and the presence of EBV DNA in brain of patients suggest a possible role of this virus in the pathogenesis of Multiple Sclerosis (MS), a chronic neurodegenerative disease with an unknown etiopathology. Aim of the present study is to verify if the expression of LMP2A and EBNA-1, two EBV genes, is altered in MS patients. EBV viral load, LMP2A and EBNA-1 gene expression and EBNA-1 antibodies titers were evaluated in blood of EBV-seropositive MS patients (n = 57; 31 relapsing remitting –RRMS- and 26 progressive -PMS-patients) and age- and sex-matched healthy controls (HC, n = 49). Results showed that EBNA-1 and VCA antibodies titers are significantly augmented in MS patients compared to HC (p < 0.05 for both antibodies); detection of EBV DNA was more frequent as well in MS patients compared to HC, although without reaching statistical significance. Regarding viral gene expression, LMP2A was significantly more frequently detected and more expressed in MS patients compared to HC (p < 0.005) whereas no differences were observed for EBNA-1. Considering patients alone, EBNA-1 was significantly more frequent in PMS compared to RRMS (p < 0.05), whereas no differences were observed for LMP2A. Increased expression of the LMP2A latency-associated gene in MS patients supports the hypothesis that EBV plays a role in disease etiopathology.","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"76 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140665542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Probucol mitigates high-fat diet-induced cognitive and social impairments by regulating brain redox and insulin resistance 普罗布考通过调节大脑氧化还原和胰岛素抵抗减轻高脂饮食引起的认知和社交障碍
Pub Date : 2024-04-23 DOI: 10.3389/fnins.2024.1368552
Han-ming Wu, Yang Vivian Yang, Na-Jun Huang, Li-Ping Fan, Ying-Ying Dai, Ke-Ting Hu, Tian-Yu Tang, Lin Liu, Yue Xu, Dong-Tai Liu, Ze-Xin Cai, Xiao-Yu Niu, Xin-Yi Ren, Zheng-Hao Yao, Hao-Yu Qin, Jian-Zhen Chen, Xi Huang, Cixiong Zhang, Xiang You, Chen Wang, Ying He, Wei Hong, Yu-Xia Sun, Yi-Hong Zhan, Shu-Yong Lin
Probucol has been utilized as a cholesterol-lowering drug with antioxidative properties. However, the impact and fundamental mechanisms of probucol in obesity-related cognitive decline are unclear. In this study, male C57BL/6J mice were allocated to a normal chow diet (NCD) group or a high-fat diet (HFD) group, followed by administration of probucol to half of the mice on the HFD regimen. Subsequently, the mice were subjected to a series of behavioral assessments, alongside the measurement of metabolic and redox parameters. Notably, probucol treatment effectively alleviates cognitive and social impairments induced by HFD in mice, while exhibiting no discernible influence on mood-related behaviors. Notably, the beneficial effects of probucol arise independently of rectifying obesity or restoring systemic glucose and lipid homeostasis, as evidenced by the lack of changes in body weight, serum cholesterol levels, blood glucose, hyperinsulinemia, systemic insulin resistance, and oxidative stress. Instead, probucol could regulate the levels of nitric oxide and superoxide-generating proteins, and it could specifically alleviate HFD-induced hippocampal insulin resistance. These findings shed light on the potential role of probucol in modulating obesity-related cognitive decline and urge reevaluation of the underlying mechanisms by which probucol exerts its beneficial effects.
普罗布考是一种具有抗氧化特性的降胆固醇药物。然而,普罗布考对肥胖相关认知能力下降的影响和基本机制尚不清楚。在这项研究中,雄性C57BL/6J小鼠被分配到正常饲料(NCD)组或高脂饮食(HFD)组,然后给一半的高脂饮食小鼠服用丙谷酚。随后,对小鼠进行了一系列行为评估,并测量了代谢和氧化还原参数。值得注意的是,丙谷酚治疗能有效缓解高纤维食物诱导的小鼠认知和社交障碍,同时对情绪相关行为没有明显影响。值得注意的是,丙谷醇的有益作用并不依赖于纠正肥胖或恢复全身葡萄糖和脂质平衡,体重、血清胆固醇水平、血糖、高胰岛素血症、全身胰岛素抵抗和氧化应激均未发生变化就证明了这一点。相反,丙谷酚能调节一氧化氮和超氧化物生成蛋白的水平,并能特异性缓解高频分解胰岛素诱导的海马胰岛素抵抗。这些发现揭示了益普索在调节与肥胖相关的认知能力下降方面的潜在作用,并敦促人们重新评估益普索发挥其有益作用的潜在机制。
{"title":"Probucol mitigates high-fat diet-induced cognitive and social impairments by regulating brain redox and insulin resistance","authors":"Han-ming Wu, Yang Vivian Yang, Na-Jun Huang, Li-Ping Fan, Ying-Ying Dai, Ke-Ting Hu, Tian-Yu Tang, Lin Liu, Yue Xu, Dong-Tai Liu, Ze-Xin Cai, Xiao-Yu Niu, Xin-Yi Ren, Zheng-Hao Yao, Hao-Yu Qin, Jian-Zhen Chen, Xi Huang, Cixiong Zhang, Xiang You, Chen Wang, Ying He, Wei Hong, Yu-Xia Sun, Yi-Hong Zhan, Shu-Yong Lin","doi":"10.3389/fnins.2024.1368552","DOIUrl":"https://doi.org/10.3389/fnins.2024.1368552","url":null,"abstract":"Probucol has been utilized as a cholesterol-lowering drug with antioxidative properties. However, the impact and fundamental mechanisms of probucol in obesity-related cognitive decline are unclear. In this study, male C57BL/6J mice were allocated to a normal chow diet (NCD) group or a high-fat diet (HFD) group, followed by administration of probucol to half of the mice on the HFD regimen. Subsequently, the mice were subjected to a series of behavioral assessments, alongside the measurement of metabolic and redox parameters. Notably, probucol treatment effectively alleviates cognitive and social impairments induced by HFD in mice, while exhibiting no discernible influence on mood-related behaviors. Notably, the beneficial effects of probucol arise independently of rectifying obesity or restoring systemic glucose and lipid homeostasis, as evidenced by the lack of changes in body weight, serum cholesterol levels, blood glucose, hyperinsulinemia, systemic insulin resistance, and oxidative stress. Instead, probucol could regulate the levels of nitric oxide and superoxide-generating proteins, and it could specifically alleviate HFD-induced hippocampal insulin resistance. These findings shed light on the potential role of probucol in modulating obesity-related cognitive decline and urge reevaluation of the underlying mechanisms by which probucol exerts its beneficial effects.","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"59 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140668062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Using artificial intelligence methods to study the effectiveness of exercise in patients with ADHD 利用人工智能方法研究运动对多动症患者的疗效
Pub Date : 2024-04-23 DOI: 10.3389/fnins.2024.1380886
Dan Yu, Jia hui Fang
Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that significantly affects children and adults worldwide, characterized by persistent inattention, hyperactivity, and impulsivity. Current research in this field faces challenges, particularly in accurate diagnosis and effective treatment strategies. The analysis of motor information, enriched by artificial intelligence methodologies, plays a vital role in deepening our understanding and improving the management of ADHD. The integration of AI techniques, such as machine learning and data analysis, into the study of ADHD-related motor behaviors, allows for a more nuanced understanding of the disorder. This approach facilitates the identification of patterns and anomalies in motor activity that are often characteristic of ADHD, thereby contributing to more precise diagnostics and tailored treatment strategies. Our approach focuses on utilizing AI techniques to deeply analyze patients' motor information and cognitive processes, aiming to improve ADHD diagnosis and treatment strategies. On the ADHD dataset, the model significantly improved accuracy to 98.21% and recall to 93.86%, especially excelling in EEG data processing with accuracy and recall rates of 96.62 and 95.21%, respectively, demonstrating precise capturing of ADHD characteristic behaviors and physiological responses. These results not only reveal the great potential of our model in improving ADHD diagnostic accuracy and developing personalized treatment plans, but also open up new research perspectives for understanding the complex neurological logic of ADHD. In addition, our study not only suggests innovative perspectives and approaches for ADHD treatment, but also provides a solid foundation for future research exploring similar complex neurological disorders, providing valuable data and insights. This is scientifically important for improving treatment outcomes and patients' quality of life, and points the way for future-oriented medical research and clinical practice.
注意力缺陷多动障碍(ADHD)是一种普遍存在的神经发育障碍,严重影响着全世界的儿童和成人,其特征是持续的注意力不集中、多动和冲动。目前这一领域的研究面临着挑战,尤其是在准确诊断和有效治疗策略方面。通过人工智能方法对运动信息进行分析,对加深我们对多动症的理解和改善对多动症的管理起着至关重要的作用。将机器学习和数据分析等人工智能技术整合到多动症相关运动行为的研究中,可以更细致地了解这种疾病。这种方法有助于识别运动活动的模式和异常,而这往往是多动症的特征,从而有助于更精确的诊断和量身定制的治疗策略。我们的方法侧重于利用人工智能技术深入分析患者的运动信息和认知过程,旨在改进多动症的诊断和治疗策略。在ADHD数据集上,该模型的准确率大幅提高到98.21%,召回率提高到93.86%,尤其在脑电图数据处理方面表现出色,准确率和召回率分别达到96.62%和95.21%,显示了对ADHD特征行为和生理反应的精确捕捉。这些结果不仅揭示了我们的模型在提高多动症诊断准确率和制定个性化治疗方案方面的巨大潜力,而且为理解多动症复杂的神经逻辑开辟了新的研究视角。此外,我们的研究不仅为多动症的治疗提出了创新的视角和方法,还为今后探索类似复杂神经系统疾病的研究奠定了坚实的基础,提供了宝贵的数据和见解。这对于提高治疗效果和患者的生活质量具有重要的科学意义,并为面向未来的医学研究和临床实践指明了方向。
{"title":"Using artificial intelligence methods to study the effectiveness of exercise in patients with ADHD","authors":"Dan Yu, Jia hui Fang","doi":"10.3389/fnins.2024.1380886","DOIUrl":"https://doi.org/10.3389/fnins.2024.1380886","url":null,"abstract":"Attention Deficit Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental disorder that significantly affects children and adults worldwide, characterized by persistent inattention, hyperactivity, and impulsivity. Current research in this field faces challenges, particularly in accurate diagnosis and effective treatment strategies. The analysis of motor information, enriched by artificial intelligence methodologies, plays a vital role in deepening our understanding and improving the management of ADHD. The integration of AI techniques, such as machine learning and data analysis, into the study of ADHD-related motor behaviors, allows for a more nuanced understanding of the disorder. This approach facilitates the identification of patterns and anomalies in motor activity that are often characteristic of ADHD, thereby contributing to more precise diagnostics and tailored treatment strategies. Our approach focuses on utilizing AI techniques to deeply analyze patients' motor information and cognitive processes, aiming to improve ADHD diagnosis and treatment strategies. On the ADHD dataset, the model significantly improved accuracy to 98.21% and recall to 93.86%, especially excelling in EEG data processing with accuracy and recall rates of 96.62 and 95.21%, respectively, demonstrating precise capturing of ADHD characteristic behaviors and physiological responses. These results not only reveal the great potential of our model in improving ADHD diagnostic accuracy and developing personalized treatment plans, but also open up new research perspectives for understanding the complex neurological logic of ADHD. In addition, our study not only suggests innovative perspectives and approaches for ADHD treatment, but also provides a solid foundation for future research exploring similar complex neurological disorders, providing valuable data and insights. This is scientifically important for improving treatment outcomes and patients' quality of life, and points the way for future-oriented medical research and clinical practice.","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"132 45","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140669133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Beyond nodes and edges: a bibliometric analysis on graph theory and neuroimaging modalities 超越节点和边缘:图论和神经成像模式的文献计量分析
Pub Date : 2024-04-23 DOI: 10.3389/fnins.2024.1373264
Makliya Mamat, Ziteng Wang, Ling Jin, Kailong He, Lin Li, Yiyong Chen
Understanding the intricate architecture of the brain through the lens of graph theory and advanced neuroimaging techniques has become increasingly pivotal in unraveling the complexities of neural networks. This bibliometric analysis explores the evolving landscape of brain research by focusing on the intersection of graph theoretical approaches, neuroanatomy, and diverse neuroimaging modalities. A systematic search strategy was used that resulted in the retrieval of a comprehensive dataset of articles and reviews. Using CiteSpace and VOSviewer, a detailed scientometric analysis was conducted that revealed emerging trends, key research clusters, and influential contributions within this multidisciplinary domain. Our review highlights the growing synergy between graph theory methodologies and neuroimaging modalities, reflecting the evolving paradigms shaping our understanding of brain networks. This study offers comprehensive insight into brain network research, emphasizing growth patterns, pivotal contributions, and global collaborative networks, thus serving as a valuable resource for researchers and institutions navigating this interdisciplinary landscape.
通过图论和先进的神经成像技术来了解大脑的复杂结构,在揭示神经网络的复杂性方面已变得越来越重要。本文献计量分析通过关注图论方法、神经解剖学和各种神经成像模式的交叉点,探索了不断发展的大脑研究领域。通过系统的搜索策略,我们检索到了一个全面的文章和综述数据集。利用 CiteSpace 和 VOSviewer 进行了详细的科学计量分析,揭示了这一多学科领域的新兴趋势、关键研究集群和有影响力的贡献。我们的综述强调了图论方法与神经成像模式之间日益增长的协同作用,反映了影响我们对大脑网络理解的范式的演变。本研究提供了对脑网络研究的全面洞察,强调了增长模式、关键贡献和全球合作网络,从而为研究人员和机构驾驭这一跨学科领域提供了宝贵的资源。
{"title":"Beyond nodes and edges: a bibliometric analysis on graph theory and neuroimaging modalities","authors":"Makliya Mamat, Ziteng Wang, Ling Jin, Kailong He, Lin Li, Yiyong Chen","doi":"10.3389/fnins.2024.1373264","DOIUrl":"https://doi.org/10.3389/fnins.2024.1373264","url":null,"abstract":"Understanding the intricate architecture of the brain through the lens of graph theory and advanced neuroimaging techniques has become increasingly pivotal in unraveling the complexities of neural networks. This bibliometric analysis explores the evolving landscape of brain research by focusing on the intersection of graph theoretical approaches, neuroanatomy, and diverse neuroimaging modalities. A systematic search strategy was used that resulted in the retrieval of a comprehensive dataset of articles and reviews. Using CiteSpace and VOSviewer, a detailed scientometric analysis was conducted that revealed emerging trends, key research clusters, and influential contributions within this multidisciplinary domain. Our review highlights the growing synergy between graph theory methodologies and neuroimaging modalities, reflecting the evolving paradigms shaping our understanding of brain networks. This study offers comprehensive insight into brain network research, emphasizing growth patterns, pivotal contributions, and global collaborative networks, thus serving as a valuable resource for researchers and institutions navigating this interdisciplinary landscape.","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"27 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140672508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Editorial: Theoretical advances and practical applications of spiking neural networks 社论:尖峰神经网络的理论进展与实际应用
Pub Date : 2024-04-22 DOI: 10.3389/fnins.2024.1406502
Gaetano Di Caterina, Malu Zhang, Jundong Liu
{"title":"Editorial: Theoretical advances and practical applications of spiking neural networks","authors":"Gaetano Di Caterina, Malu Zhang, Jundong Liu","doi":"10.3389/fnins.2024.1406502","DOIUrl":"https://doi.org/10.3389/fnins.2024.1406502","url":null,"abstract":"","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"14 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140674144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Potential roles of gangliosides in chemical-induced neurodegenerative diseases and mental health disorders 神经节苷脂在化学物质诱发的神经退行性疾病和精神疾病中的潜在作用
Pub Date : 2024-04-22 DOI: 10.3389/fnins.2024.1391413
Yutaka Itokazu, Alvin V. Terry
{"title":"Potential roles of gangliosides in chemical-induced neurodegenerative diseases and mental health disorders","authors":"Yutaka Itokazu, Alvin V. Terry","doi":"10.3389/fnins.2024.1391413","DOIUrl":"https://doi.org/10.3389/fnins.2024.1391413","url":null,"abstract":"","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"54 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140672632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Relationship between depression and sex steroid hormone among women with epilepsy 女性癫痫患者抑郁与性类固醇激素的关系
Pub Date : 2024-04-22 DOI: 10.3389/fnins.2024.1370533
L. Ogunjimi, A. Alabi, Ibironke Oyenuga, Jeremiah Ogunkunle, Emmanuel Kasumu, Oluwaseun Ogunsanya, Oluwatobiloba Oluseyije, Pelumi Ogunbayo, Omorojo Idume, Adeola Kasali, Sarah Adesi, Mariam Oyebowale, Damilola Ogungbemi, A. Aderinola, Emmanuel Irokosu, Abdullahi A. Murtala, B. Osalusi
Sex steroid hormones are emerging significant biomarkers of depression among Women with Epilepsy (WWE) with promising prognostic potential and therapeutic end point. Therefore, the study is aimed at exploring the association between sex steroids hormones, Anti-seizure Medication (ASM) and depression among WWE.A baseline questionnaire was used to obtain socio-demographics and clinical characteristic from one hundred and twelve (112) WWE and 50 age matched healthy control. The diagnosis of epilepsy and Electroencephalography (EEG) description was based on 2017 International League Against Epilepsy (ILAE) criteria. Blood samples were collected from cases and control during Luteal Phase (LP) and Follicular Phase (FP). The Zung Self-Rating Depression Scale (ZSRDS) was used to assess depression.The prevalence of depression among WWE is 18.8%, with a significant difference between the level of formal education (p0.000), age (p0.000), and mean ZSRDS (p0.000) among cases and control. There is a statistical difference in hormonal levels between cases and control with regards to higher testosterone [3.28 ± 9.99 vs. 0.31 ± 0.30; p0.037], lower FP prolactin [16.37 ± 20.14 vs. 17.20 ± 7.44; p0.778], and lower LP prolactin [15.74 ± 18.22 vs. 17.67 ± 7.27; p0.473]. Testosterone (p0.024), FP Follicle Stimulating Hormone (FSH) (p0.009), FP Estradiol (p0.006), LP FSH (p0.031), LP Progesterone (p0.023), and LP Prolactin (p0.000) were associated with depression. However, only prolactin (p0.042) and testosterone (p0.000) predicts depression among WWE.There was higher mean depression score, lower prolactin and higher testosterone level among cases compared to control. Furthermore, there was lower prolactin and higher testosterone level in Carbamazepine (CBZ) group compared to Levetiracetam (LEV) groups.
性类固醇激素是女性癫痫患者(WWE)抑郁症的新兴重要生物标志物,具有良好的预后潜力和治疗终点。因此,本研究旨在探讨性类固醇激素、抗癫痫药物(ASM)与女性癫痫患者抑郁之间的关系。本研究采用基线问卷调查法,从 112 名女性癫痫患者和 50 名年龄匹配的健康对照者中获取了社会人口统计学资料和临床特征。癫痫诊断和脑电图(EEG)描述基于2017年国际抗癫痫联盟(ILAE)标准。在黄体期(LP)和卵泡期(FP)采集病例和对照组的血液样本。病例和对照组的正规教育程度(P0.000)、年龄(P0.000)和平均 ZSRDS(P0.000)之间存在显著差异。病例和对照组的激素水平存在统计学差异,睾酮较高[3.28 ± 9.99 vs. 0.31 ± 0.30; p0.037],FP催乳素较低[16.37 ± 20.14 vs. 17.20 ± 7.44; p0.778],LP催乳素较低[15.74 ± 18.22 vs. 17.67 ± 7.27; p0.473]。睾酮(p0.024)、FP 卵泡刺激素(FSH)(p0.009)、FP 雌二醇(p0.006)、LP FSH(p0.031)、LP 孕酮(p0.023)和 LP 催乳素(p0.000)与抑郁有关。与对照组相比,病例的平均抑郁评分更高,泌乳素更低,睾酮水平更高。此外,与左乙拉西坦(LEV)组相比,卡马西平(CBZ)组的催乳素更低,睾酮水平更高。
{"title":"Relationship between depression and sex steroid hormone among women with epilepsy","authors":"L. Ogunjimi, A. Alabi, Ibironke Oyenuga, Jeremiah Ogunkunle, Emmanuel Kasumu, Oluwaseun Ogunsanya, Oluwatobiloba Oluseyije, Pelumi Ogunbayo, Omorojo Idume, Adeola Kasali, Sarah Adesi, Mariam Oyebowale, Damilola Ogungbemi, A. Aderinola, Emmanuel Irokosu, Abdullahi A. Murtala, B. Osalusi","doi":"10.3389/fnins.2024.1370533","DOIUrl":"https://doi.org/10.3389/fnins.2024.1370533","url":null,"abstract":"Sex steroid hormones are emerging significant biomarkers of depression among Women with Epilepsy (WWE) with promising prognostic potential and therapeutic end point. Therefore, the study is aimed at exploring the association between sex steroids hormones, Anti-seizure Medication (ASM) and depression among WWE.A baseline questionnaire was used to obtain socio-demographics and clinical characteristic from one hundred and twelve (112) WWE and 50 age matched healthy control. The diagnosis of epilepsy and Electroencephalography (EEG) description was based on 2017 International League Against Epilepsy (ILAE) criteria. Blood samples were collected from cases and control during Luteal Phase (LP) and Follicular Phase (FP). The Zung Self-Rating Depression Scale (ZSRDS) was used to assess depression.The prevalence of depression among WWE is 18.8%, with a significant difference between the level of formal education (p0.000), age (p0.000), and mean ZSRDS (p0.000) among cases and control. There is a statistical difference in hormonal levels between cases and control with regards to higher testosterone [3.28 ± 9.99 vs. 0.31 ± 0.30; p0.037], lower FP prolactin [16.37 ± 20.14 vs. 17.20 ± 7.44; p0.778], and lower LP prolactin [15.74 ± 18.22 vs. 17.67 ± 7.27; p0.473]. Testosterone (p0.024), FP Follicle Stimulating Hormone (FSH) (p0.009), FP Estradiol (p0.006), LP FSH (p0.031), LP Progesterone (p0.023), and LP Prolactin (p0.000) were associated with depression. However, only prolactin (p0.042) and testosterone (p0.000) predicts depression among WWE.There was higher mean depression score, lower prolactin and higher testosterone level among cases compared to control. Furthermore, there was lower prolactin and higher testosterone level in Carbamazepine (CBZ) group compared to Levetiracetam (LEV) groups.","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"31 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140676338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research status and prospects of pituitary adenomas in conjunction with neurological and psychiatric disorders and the tumor microenvironment 垂体腺瘤与神经和精神疾病以及肿瘤微环境的研究现状和前景
Pub Date : 2024-04-22 DOI: 10.3389/fnins.2024.1294417
Siyuan Cui, Sainan Chen, Xuechao Wu, Qing Wang
Patients with pituitary neuroendocrine tumors (PitNETs) often experience neuropsychiatric disorders due to factors such as hormonal imbalances, and inadequate management of medications, surgeries, and radiation therapies. Commonly observed disorders include depression, anxiety, and cognitive dysfunction, which significantly impact patients’ quality of life and prognosis. PitNETs have a significant presence of immune cells within the tumor microenvironment (TME), predominantly macrophages and T lymphocytes. These immune cells secrete a variety of cytokines, growth factors, and chemokines, which regulate the biological behaviors of PitNETs, including tumor initiation, proliferation, migration, invasion, and angiogenesis. In addition, this review provides a pioneering summary of the close relationships between the aberrant secretion of proinflammatory cytokines within the TME of PitNETs and the occurrence of neuropsychiatric disorders, along with their potential underlying mechanisms. The cytokines produced as a result of TME dysregulation may affect various aspects of the central nervous system, including neurotransmitter metabolism, neuroendocrine function, and neurovascular plasticity, thereby leading to a higher susceptibility to neurobehavioral disorders in PitNET patients.
垂体神经内分泌肿瘤(PitNETs)患者经常会因荷尔蒙失调、药物治疗不当、手术和放射治疗等因素而出现神经精神障碍。常见的精神障碍包括抑郁、焦虑和认知功能障碍,严重影响患者的生活质量和预后。PitNET 的肿瘤微环境(TME)中存在大量免疫细胞,主要是巨噬细胞和 T 淋巴细胞。这些免疫细胞会分泌多种细胞因子、生长因子和趋化因子,调节 PitNET 的生物学行为,包括肿瘤的发生、增殖、迁移、侵袭和血管生成。此外,这篇综述还开创性地总结了 PitNET TME 内促炎细胞因子异常分泌与神经精神疾病发生之间的密切关系及其潜在的内在机制。TME失调产生的细胞因子可能会影响中枢神经系统的各个方面,包括神经递质代谢、神经内分泌功能和神经血管可塑性,从而导致PitNET患者更容易出现神经行为紊乱。
{"title":"Research status and prospects of pituitary adenomas in conjunction with neurological and psychiatric disorders and the tumor microenvironment","authors":"Siyuan Cui, Sainan Chen, Xuechao Wu, Qing Wang","doi":"10.3389/fnins.2024.1294417","DOIUrl":"https://doi.org/10.3389/fnins.2024.1294417","url":null,"abstract":"Patients with pituitary neuroendocrine tumors (PitNETs) often experience neuropsychiatric disorders due to factors such as hormonal imbalances, and inadequate management of medications, surgeries, and radiation therapies. Commonly observed disorders include depression, anxiety, and cognitive dysfunction, which significantly impact patients’ quality of life and prognosis. PitNETs have a significant presence of immune cells within the tumor microenvironment (TME), predominantly macrophages and T lymphocytes. These immune cells secrete a variety of cytokines, growth factors, and chemokines, which regulate the biological behaviors of PitNETs, including tumor initiation, proliferation, migration, invasion, and angiogenesis. In addition, this review provides a pioneering summary of the close relationships between the aberrant secretion of proinflammatory cytokines within the TME of PitNETs and the occurrence of neuropsychiatric disorders, along with their potential underlying mechanisms. The cytokines produced as a result of TME dysregulation may affect various aspects of the central nervous system, including neurotransmitter metabolism, neuroendocrine function, and neurovascular plasticity, thereby leading to a higher susceptibility to neurobehavioral disorders in PitNET patients.","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":"6 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140673420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Commentary: Aripiprazole disrupts cellular synchrony in the suprachiasmatic nucleus and enhances entrainment to environmental light–dark cycles in mice 评论阿立哌唑会破坏小鼠视上核的细胞同步性,并增强小鼠对环境光暗周期的适应能力
Pub Date : 2024-04-19 DOI: 10.3389/fnins.2024.1371195
Tsuyoshi Kitajima
{"title":"Commentary: Aripiprazole disrupts cellular synchrony in the suprachiasmatic nucleus and enhances entrainment to environmental light–dark cycles in mice","authors":"Tsuyoshi Kitajima","doi":"10.3389/fnins.2024.1371195","DOIUrl":"https://doi.org/10.3389/fnins.2024.1371195","url":null,"abstract":"","PeriodicalId":509131,"journal":{"name":"Frontiers in Neuroscience","volume":" 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140684605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Frontiers in Neuroscience
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1