International Journal of Neuroscience最新文献

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Correction. 修正。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-11-02 DOI: 10.1080/00207454.2025.2578582
{"title":"Correction.","authors":"","doi":"10.1080/00207454.2025.2578582","DOIUrl":"10.1080/00207454.2025.2578582","url":null,"abstract":"","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"563"},"PeriodicalIF":1.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145354478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A study on the correlation between SIRT6 gene polymorphisms and glioma risk in Chinese Han population. 中国汉族人群SIRT6基因多态性与胶质瘤发病的相关性研究。
IF 1.7 4区 医学
International Journal of Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-11-09 DOI: 10.1080/00207454.2025.2584082
Liang Gu, Guangjuan Ke, Yizhi Ge, Wenxuan Huang, Yi Peng, Junling Zhang, Xia He
{"title":"A study on the correlation between SIRT6 gene polymorphisms and glioma risk in Chinese Han population.","authors":"Liang Gu, Guangjuan Ke, Yizhi Ge, Wenxuan Huang, Yi Peng, Junling Zhang, Xia He","doi":"10.1080/00207454.2025.2584082","DOIUrl":"10.1080/00207454.2025.2584082","url":null,"abstract":"<p><strong>Background: </strong>Glioma is a common type of cancer of the central nervous system. Sirtuin 6 (SIRT6) has been reported to be a tumor suppressor in gliomas. The relationship between SIRT6 and glioma susceptibility is unknown. We aimed to investigate the association between single nucleotide polymorphisms (SNPs) of SIRT6 and the risk of glioma.</p><p><strong>Methods: </strong>205 glioma patients and 225 healthy controls were included in this study. Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was performed. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to detect the transcription level of SIRT6 in the plasma of patients and healthy individuals.</p><p><strong>Results: </strong>The distribution of the A allele of rs350843 and the C allele of rs352493 in SIRT6 was significantly lower in glioma patients (All <i>p</i> < 0.001). The distribution of the T allele of rs11878868 was significantly higher in glioma patients (<i>p</i> < 0.001). The distribution of the genotypes of the rs352493 and rs11878868 polymorphisms were independent risk predictor factors (All <i>p</i> < 0.01). Furthermore, we found that the expression of SIRT6 in glioma patients was lower compared with control group (<i>p</i> < 0.001). The expression level of SIRT6 was lower in glioma patients with the TT genotype at rs11878868 (All <i>p</i> < 0.01). There was no significant difference in the rs352493 and rs11878868 genotypes among the different subtypes (All <i>p</i> > 0.05).</p><p><strong>Conclusions: </strong>These results indicate that SIRT6 polymorphism is associated with the risk of glioma and has the potential to be used as a marker for predicting glioma.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"508-516"},"PeriodicalIF":1.7,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145438028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Prognostic value of cardiac troponin I in acute ischemic stroke patients treated with reperfusion therapy: a multicenter retrospective cohort study. 心肌肌钙蛋白I在急性缺血性脑卒中再灌注治疗中的预后价值:一项多中心回顾性队列研究
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-11-15 DOI: 10.1080/00207454.2025.2589395
Andrea Loggini, Camila Bonin Pinto, Heather Von Hagn, Laura Boada Robayo, Amber Schwertman, Kaitlyn Pixley, Michiaki Nagai, Ayesha Sajid, Trace Lawson, Faddi G Saleh Velez
{"title":"Prognostic value of cardiac troponin I in acute ischemic stroke patients treated with reperfusion therapy: a multicenter retrospective cohort study.","authors":"Andrea Loggini, Camila Bonin Pinto, Heather Von Hagn, Laura Boada Robayo, Amber Schwertman, Kaitlyn Pixley, Michiaki Nagai, Ayesha Sajid, Trace Lawson, Faddi G Saleh Velez","doi":"10.1080/00207454.2025.2589395","DOIUrl":"10.1080/00207454.2025.2589395","url":null,"abstract":"<p><strong>Background: </strong>We aimed to evaluate the association between elevated cardiac troponin I (cTnI) and clinical outcomes in AIS patients receiving reperfusion therapy.</p><p><strong>Methods: </strong>We conducted a multicenter retrospective cohort study of AIS patients treated with thrombolytics at Southern Illinois Healthcare and the University of Oklahoma (2017-2024). Demographic, clinical, laboratory, and radiographic data were collected. Elevation of cTnI was defined as levels above 0.028 ng/mL. For high sensitivity troponins, the cutoff was 15 ng/L for women and 20 ng/L for men. Outcomes included symptomatic intracranial hemorrhage (sICH), in-hospital mortality, and functional status at 30 days (good outcome defined as mRS ≤2). Overlap-weighted multivariable logistic regression was performed, adjusting for demographics, comorbidities, and stroke severity.</p><p><strong>Results: </strong>Among 496 patients, 143 (29%) had elevated cTnI. Compared with patients with normal cTnI, those with elevated levels were older, had more vascular risk factors, and higher baseline NIHSS. Elevated cTnI was not significantly associated with sICH (OR:3.75, 95%CI 0.52-27.21, <i>p</i> = 0.19), but was independently associated with increased in-hospital mortality (OR:1.96, 95%CI 1.62-6.20, <i>p</i> = 0.025) and decreased odds of good functional outcome at 30 days (OR:0.40, 95%CI 0.19-0.84, <i>p</i> = 0.016). Subgroup analyses showed these associations were most pronounced in older patients and in those with moderate (NIHSS 6-15) to severe (NIHSS 16-20 and > 20) strokes, whereas no significant relationships were observed in younger patients or mild strokes. Normalization of cTnI during hospitalization did not improve survival (<i>p</i> > 0.05).</p><p><strong>Conclusions: </strong>In our study, elevated cTnI on admission is an independent predictor of poor short-term outcomes in AIS patients treated with reperfusion therapy. Troponin measurement may provide important prognostic information, particularly in older patients and those with more severe strokes.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"530-537"},"PeriodicalIF":1.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145512638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dual-feature cross-fusion network for precise brain tumor classification: a neurocomputational approach. 双特征交叉融合网络用于脑肿瘤精确分类:一种神经计算方法。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-10-01 DOI: 10.1080/00207454.2025.2565445
Muthalakshmi M, Surya G, Mininath Bendre, Mahesh Nirmal
{"title":"Dual-feature cross-fusion network for precise brain tumor classification: a neurocomputational approach.","authors":"Muthalakshmi M, Surya G, Mininath Bendre, Mahesh Nirmal","doi":"10.1080/00207454.2025.2565445","DOIUrl":"10.1080/00207454.2025.2565445","url":null,"abstract":"<p><p>Brain tumors represent a significant neurological challenge, affecting individuals across all age groups. Accurate and timely diagnosis of tumor types is critical for effective treatment planning. Magnetic Resonance Imaging (MRI) remains a primary diagnostic modality due to its non-invasive nature and ability to provide detailed brain imaging. However, traditional tumor classification relies on expert interpretation, which is time-consuming and prone to subjectivity. This study proposes a novel deep learning architecture, the Dual-Feature Cross-Fusion Network (DF-CFN), for the automated classification of brain tumors using MRI data. The model integrates ConvNeXt for capturing global contextual features and a shallow CNN combined with Feature Channel Attention Network (FcaNet) for extracting local features. These are fused through a cross-feature fusion mechanism for improved classification. The model is trained and validated using a Kaggle dataset encompassing four tumor classes (glioma, meningioma, pituitary and non-tumor), achieving an accuracy of 99.33%. Its generalizability is further confirmed using the FigShare dataset, yielding 99.22% accuracy. Comparative analyses with baseline and recent models validate the superiority of DF-CFN in terms of precision and robustness. This approach demonstrates strong potential for assisting clinicians in reliable brain tumor classification, thereby improving diagnostic efficiency and reducing the burden on healthcare professionals.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"426-438"},"PeriodicalIF":1.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145130741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The effect of cognitive emotional states on physiological productivity. 认知情绪状态对生理生产力的影响。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-04-01 Epub Date: 2025-12-10 DOI: 10.1080/00207454.2025.2593393
Derya Dalfidan, Tülin Gunduz
{"title":"The effect of cognitive emotional states on physiological productivity.","authors":"Derya Dalfidan, Tülin Gunduz","doi":"10.1080/00207454.2025.2593393","DOIUrl":"10.1080/00207454.2025.2593393","url":null,"abstract":"<p><p>Emotional states are fundamental attributes distinguishing humans from machines, and productivity represents one of the primary life objectives for this emotionally driven being. However, existing research on productivity and job performance frequently underestimates the impact of underlying emotional mechanisms. Thus, a systematic examination of the emotion-productivity interface is essential to clarify the psychophysiological processes that regulate work efficiency. In this study, emotional induction was achieved through a curated video stimulus set designed to evoke positive (happiness) and negative (sadness) responses in 39 participants, followed by a computer-based Stroop task. Electroencephalography (EEG) was employed to capture emotional states within the two-dimensional valence-arousal framework. During task performance, parameters related to productivity metrics were recorded. Three machine learning models - Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Random Forest (RF) - were implemented to predict productivity levels. For positive emotions, mean absolute error (MAE) values were 0.1031 (ANN), 0.0760 (SVM), and 0.0721 (RF). For negative emotions, the values were 0.1165, 0.0902, and 0.0659, respectively. Results demonstrated that productivity levels increased during tasks performed after the induction of positive emotions. Overall, this study provides empirical evidence that productivity can be predicted from emotional states, emphasizing their integral role in cognitive processes and their potential utility for optimizing workplace performance.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"547-562"},"PeriodicalIF":1.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145581960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thymic stromal lymphopoietin modification gates chronic pain via regulation of transient receptor potential vanilloid type 1-caspase1. 胸腺基质淋巴生成素修饰通过调节瞬时受体电位香草酸样1-caspase1阻断慢性疼痛。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-03-01 Epub Date: 2025-08-07 DOI: 10.1080/00207454.2025.2541299
Ying-Yi Lu, Chun-Ching Lu, Hung-Pei Tsai, Chieh-Hsin Wu
{"title":"Thymic stromal lymphopoietin modification gates chronic pain via regulation of transient receptor potential vanilloid type 1-caspase1.","authors":"Ying-Yi Lu, Chun-Ching Lu, Hung-Pei Tsai, Chieh-Hsin Wu","doi":"10.1080/00207454.2025.2541299","DOIUrl":"10.1080/00207454.2025.2541299","url":null,"abstract":"<p><strong>Aim: </strong>Given that depletion of thymic stromal lymphopoietin (TSLP) signals is a potential therapeutic option to relieve chronic pain, in this study, we aimed to explore the role of TSLP in regulation of chronic pain and clarify the interactions between TRPV1 and caspase1.</p><p><strong>Methods: </strong>Bleomycin (BLM), one derivative of <i>Streptomyces verticellus</i>, was administered into mouse to generate chronic mechanical pain in wild type (WT) mice and TSLP knockout mice. Four groups were divided including WT + saline, WT+BLM, TSLP knockout + saline and TSLP knockout + BLM. Differentiated SH-SY5Y cells were then established as a neuronal cell model. Pain behavioral test, cell viability test, western blot and immunofluorescence staining were used to evaluate the effects of <i>TSLP</i> depletion on glial reaction, neuronal death and inflammation.</p><p><strong>Results: </strong>Bleomycin enhanced the TRPV1-caspase1 signaling to induce chronic pain in mice. Compared to the mice receiving saline, glial reaction and neuronal death were augmented in the somatosensory cortex of the mice receiving bleomycin. In contrast, bleomycin also activated glial reaction and neuronal death in TSLP knockout mice but to a lower extent than those in WT mice with altered mechanical withdrawal threshold. In differentiated SH-SY5Y cells, silencing of <i>TSLP</i> decreased the expression of TRPV1-caspase1 as well as neuronal death induced by H<sub>2</sub>O<sub>2</sub>.</p><p><strong>Conclusions: </strong>By regulating glial reaction, neuronal death and inflammation, TSLP is a candidate target to treat chronic pain along with TRPV1-caspase1.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"309-317"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144775369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Hippocampal neural stem cells in Alzheimer's disease: bridging neurogenesis, extracellular vesicles, and multimodal therapeutic paradigms. 阿尔茨海默病中的海马神经干细胞:桥接神经发生、细胞外囊泡和多模式治疗范例。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-03-01 Epub Date: 2025-08-08 DOI: 10.1080/00207454.2025.2540989
Ruoyu Li, Wenrui Xiong, Chong Sun
{"title":"Hippocampal neural stem cells in Alzheimer's disease: bridging neurogenesis, extracellular vesicles, and multimodal therapeutic paradigms.","authors":"Ruoyu Li, Wenrui Xiong, Chong Sun","doi":"10.1080/00207454.2025.2540989","DOIUrl":"10.1080/00207454.2025.2540989","url":null,"abstract":"<p><p>Alzheimer's disease (AD) presents a formidable challenge in neurodegenerative medicine because of its complex pathophysiology and the absence of effective disease-modifying therapies. Emerging evidence suggests that impaired adult hippocampal neurogenesis (AHN), a dynamic process essential for cognitive plasticity, is a mechanistic contributor to AD progression. This review highlights the role of hippocampal neural stem cells (NSCs) in the pathogenesis of AD, including the molecular mechanisms underlying the neurogenic decline in AD and their potential impact on cognitive resilience. We summarize current therapeutic approaches, including pharmacological agents and non-pharmacological interventions (e.g. exercise, cognitive training, dietary strategies, and neurostimulation therapies), and explore their influence on neurogenesis. Additionally, we explore the potential application of NSCs in AD treatment, specifically through the use of NSC-derived extracellular vesicles (NSC-EVs) as a novel therapeutic modality. By integrating insights from AHN research and cutting-edge therapeutic advancements, this review emphasizes the therapeutic potential of promoting neurogenesis to address cognitive decline and advance treatment strategies for AD.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"380-400"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144799045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
L-3n-butylphthalide maintains BBB permeability and attenuates cerebral ischemia-reperfusion injury in rats by increasing PGC-1α levels. l -3n-丁苯酞通过增加PGC-1α水平维持大鼠血脑屏障通透性,减轻脑缺血再灌注损伤。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-03-01 Epub Date: 2025-08-18 DOI: 10.1080/00207454.2025.2545534
Yu Wang, Xiangsong Shi, Liling Wu, Hongfu Tian
{"title":"L-3n-butylphthalide maintains BBB permeability and attenuates cerebral ischemia-reperfusion injury in rats by increasing PGC-1<i>α</i> levels.","authors":"Yu Wang, Xiangsong Shi, Liling Wu, Hongfu Tian","doi":"10.1080/00207454.2025.2545534","DOIUrl":"10.1080/00207454.2025.2545534","url":null,"abstract":"<p><strong>Aim: </strong>The aim of the present study was to investigate the possible mechanisms of DL-3-n-butylphthalide (NBP) in maintaining the stability of the blood-brain barrier (BBB) and attenuating cerebral ischemia-reperfusion injury (CIRI) by increasing the levels of PGC-1<i>α</i>.</p><p><strong>Methods: </strong>A model of middle cerebral artery occlusion/reperfusion (MCAO/R) injury was established using Sprague-Dawley rats. The rats were divided into sham, MCAO/R, NBP, Vehicle and SR-18292 groups. 2,3,5-Triphenyltetrazolium chloride staining, hematoxylin and eosin (H&E) staining, and Evans Blue staining were performed to observe the volume of cerebral infarction, status of pathological injury, and BBB permeability of the brain tissue, respectively. Immunofluorescence staining and western blot analysis were performed to evaluate the expression of vascular endothelial cell markers (vWF and CD31), tight junction (TJ) protein markers (claudin5 and occludin), and PGC-1<i>α</i>.</p><p><strong>Results: </strong>H&E staining showed that the brain tissues of MCAO/R rats showed worsening vacuolar degeneration and necrosis. NBP reduced infarct volume, decreased the level of BBB extravasation, increased vascular density, and promoted the expression of TJs. Concurrently, NBP activated PGC-1<i>α</i> levels in rats subjected to MCAO/R. Downregulation of PGC-1<i>α</i> levels by PGC-1<i>α</i> inhibitors (SR-18292) could promote BBB permeability, infarct volume, and neurological deficits in the MCAO/R model.</p><p><strong>Conclusions: </strong>The present study demonstrates that NBP plays a role in maintaining the stability of the BBB and attenuates CIRI by increasing PGC-1<i>α</i> levels as well as by increasing the levels of vascular endothelial cells and TJ markers.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"368-379"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144812054","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
EEG signal analysis for the classification of Alzheimer's and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques. 脑电信号分析用于阿尔茨海默病和额颞叶痴呆的分类:一种基于人工神经网络和交叉熵技术的新方法。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-03-01 Epub Date: 2025-07-16 DOI: 10.1080/00207454.2025.2529301
Fatma Latifoğlu, Fırat Orhanbulucu, Murugappan Murugappan, Sümeyye Nur Gürbüz, Burçin Çayır, Fatma Zehra Avcı
{"title":"EEG signal analysis for the classification of Alzheimer's and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques.","authors":"Fatma Latifoğlu, Fırat Orhanbulucu, Murugappan Murugappan, Sümeyye Nur Gürbüz, Burçin Çayır, Fatma Zehra Avcı","doi":"10.1080/00207454.2025.2529301","DOIUrl":"10.1080/00207454.2025.2529301","url":null,"abstract":"<p><p>Dementia, a neurological disorder, can cause cognitive decline due to damage to the brain. Our study aims to contribute to the development of computer-aided diagnosis (CAD) systems to aid in the early diagnosis of Alzheimer's disease (AD) and frontotemporal dementia (FTD) by examining Electroencephalogram (EEG) signals. EEG signals of 36 AD, 23 FTD and 29 healthy control (HC) participants were analyzed and entropy measurement approaches were used to analyze the connectivity between EEG channel pairs. The cross-permutation entropy (CPE) method and the cross conditional entropy (CCE) method were analyzed separately and the fused cross entropy (FCE) method was also tested by combining these techniques to determine the most appropriate method for feature extraction from EEG signals. The features obtained from these techniques were then evaluated in the classification phase using two separate machine learning algorithms. According to the performance evaluation criteria, the FCE and artificial neural network (ANN) model showed the most successful performance in the classification of all groups. In terms of area under the curve (AUC) and accuracy rates, 99.85% AUC and 98.46% accuracy were obtained in AD&HC groups, 99.71% AUC and 98.10% accuracy in FTD&HC groups and 99.39% AUC, 96.61% accuracy in AD&FTD groups. With the same model, an AUC rate of 97.14% and accuracy rate of 73.86% was obtained for the classification of the triple group (AD&FTD&HC). It has been observed that the results of this study show successful performance compared to the results of similar studies.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"286-299"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144575425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Bilateral adduction palsy with a paramedian midbrain lesion is most likely wall-eyed bilateral oculomotor subnuclear ophthalmoplegia: a case report of a brainstem infarction. 双侧内收麻痹伴中脑旁位病变最可能是壁眼双侧动眼性核下眼麻痹:脑干梗塞1例报告。
IF 1.5 4区 医学
International Journal of Neuroscience Pub Date : 2026-03-01 Epub Date: 2025-07-16 DOI: 10.1080/00207454.2025.2534403
Tsutomu Yasuda, Sho Fujiwara, Akihiko Shimomura, Ayaka Chikada, Noritoshi Arai
{"title":"Bilateral adduction palsy with a paramedian midbrain lesion is most likely wall-eyed bilateral oculomotor subnuclear ophthalmoplegia: a case report of a brainstem infarction.","authors":"Tsutomu Yasuda, Sho Fujiwara, Akihiko Shimomura, Ayaka Chikada, Noritoshi Arai","doi":"10.1080/00207454.2025.2534403","DOIUrl":"10.1080/00207454.2025.2534403","url":null,"abstract":"<p><p>A 73-year-old female was hospitalized in our Department of Neurology for diplopia due to multiple infarctions in the midbrain and pons. A neurological examination revealed bilateral adduction palsy during horizontal gaze with nystagmus of the contralateral abducting eye. Exotropia and impaired convergence were also noticed. The distinctive symptoms indicated wall-eyed bilateral internuclear ophthalmoplegia (WEBINO). We speculate that the cause of WEBINO in our case was bilateral medial rectus palsy <i>via</i> bilateral damage to the medial rectus subnuclei (MRSN) due to the paramedian midbrain infarction. We propose that bilateral adduction palsy with impaired convergence due to bilateral MRSN impairment, such as in our case, should be given a more appropriate name because we speculate that it is not 'internuclear ophthalmoplegia'. 'WEBOSO' (wall-eyed bilateral oculomotor subnuclear ophthalmoplegia) may be a more appropriate name.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"413-416"},"PeriodicalIF":1.5,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144618057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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