International Journal of Neuroscience最新文献

{"title":"Association between high-density lipoprotein cholesterol to apolipoprotein A-1 ratio and the outcome of ischemic stroke: a retrospective study.","authors":"Linyan Li, Huiming Deng, Zhiyao Xu, Yan Liu, Xianwen Zhang, Qiang Zhou, Bing Xiao, Hua Liu","doi":"10.1080/00207454.2026.2614748","DOIUrl":"10.1080/00207454.2026.2614748","url":null,"abstract":"<p><strong>Background: </strong>High-density lipoprotein cholesterol (HDL-C)/apolipoprotein A-1 (APOA-1) ratio has been identified as a risk factor for cardiovascular disease, cancer, and all-cause mortality. However, data related to ischemic stroke (IS) are lacking. We investigated whether the HDL-C/APOA-1 ratio was associated with 3-month functional outcome in patients with IS.</p><p><strong>Methods: </strong>A retrospective analysis was performed on 674 patients with IS. The 3-month functional outcome was classified as good or poor based on the modified Rankin Scale score (mRS). Logistic regression models (unadjusted and stepwise) were performed to evaluate the correlation between HDL-C/APOA-1 ratio and outcome. Restricted cubic splines evaluated nonlinear relationships, while subgroup analyses explored effect modifications. We assessed the added predictive value of the HDL-C/APOA-1 ratio by comparing nested models using the AUC, NRI, and IDI.</p><p><strong>Results: </strong>The HDL-C/APOA-1 level in the group with poor functional outcomes was higher than that in the group with good functional outcomes (0.99 ± 0.14 vs. 0.94 ± 0.10, <i>p</i> < 0.001). In the multivariable analysis, a higher HDL-C/APOA-1 ratio was identified as an independent factor associated with poor outcome at 3 months (OR 1.50, 95% CI:1.17-1.96, <i>p</i> = 0.003). The odds of poor outcome in the higher HDL-C/APOA-1 quartile increased by 2.44-fold (95% CI:1.30-4.64, <i>p</i> = 0.006) after adjusting for potential confounders compared to lower HDL-C/APOA-1 quartiles. In addition, multivariate-adjusted restricted cubic splines show a positive approach linear pattern of this association.</p><p><strong>Conclusion: </strong>Elevated HDL-C/APOA-1 is independently associated with an increased risk of poor functional outcomes at 3-month in patients with IS.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"642-649"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145933329","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}

{"title":"Evolving trends and disparities in malnutrition-linked stroke mortality in the United States: insights from CDC WONDER data.","authors":"F N U Sahil, Sahil Jairamani, Muhammad Rafay Shahzad Cheema, Fnu Urooba, Muhammad Ibrahim, Iman Osman Abufatima, Ali Nawaz, Maha Sajjad, Dheeraj Kumar","doi":"10.1080/00207454.2025.2612560","DOIUrl":"10.1080/00207454.2025.2612560","url":null,"abstract":"<p><strong>Background: </strong>Stroke and malnutrition remain significant contributors to preventable mortality in the United States. Stroke is a leading cause of death and disability, while malnutrition, often underrecognized, exacerbates neurological and systemic vulnerability. Characterizing long-term national and subgroup-specific mortality patterns is critical for guiding public health interventions.</p><p><strong>Methods: </strong>Mortality data for stroke and malnutrition were analyzed from 1999 to 2023 using the CDC WONDER database. Age-adjusted mortality rates (AAMR) per 1,000,000 population were calculated and stratified by sex, race/ethnicity, census region, state and urbanization status. Joinpoint regression estimated average annual percent change (AAPC) with 95% confidence intervals (CIs).</p><p><strong>Results: </strong>From 1999 to 2023, 44,368 deaths were attributed to malnutrition and stroke. The overall AAMR rose from 12.11 in 1999 to 14.75 in 2023, with an overall AAPC of 0.88% (95% CI: -0.14 to 1.91). Males had higher AAMRs than females. By race, Non Hispanic (NH) Black experienced the greatest AAMRs, whereas NH Asian had the lowest rates. Regionally, the South showed the highest rate, whereas Northeast had the lowest. Nonmetropolitan areas exceeded metropolitan areas. At the state level, the highest rates were observed in South Dakota and Arkansas, while Massachusetts recorded the lowest rates.</p><p><strong>Conclusion: </strong>From 1999 to 2023, combined mortality from stroke and malnutrition increased modestly nationwide, with enduring disparities across demographics and geography. The highest burdens fell on NH Black individuals, people living in the South and nonmetropolitan areas, and certain central states. These findings highlight the need for region-specific prevention and better access to nutritional and neurological care.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"629-641"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145899992","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}

{"title":"Association of intracranial atherosclerotic plaque features with total cerebral small vessel disease burden: a retrospective study in branch atheromatous disease.","authors":"Guisong Zhang, Weigang Luo, Yujuan Dong, Jinyang Wang, Wei Bu, Danlin Meng, Linghui Meng, Huiling Ren","doi":"10.1080/00207454.2025.2597798","DOIUrl":"10.1080/00207454.2025.2597798","url":null,"abstract":"<p><strong>Objective: </strong>We investigated the association between middle cerebral artery atherosclerotic plaque features and cerebral small vessel disease (CSVD) imaging markers as well as the total CSVD burden, in patients with branch atheromatous disease (BAD).</p><p><strong>Methods: </strong>Plaque parameters were quantified using high-resolution magnetic resonance imaging (HR-MRI) with ImageJ software, to characterize distribution, lumen stenosis, remodeling patterns, and other relevant features. Conventional MRI assessed CSVD imaging markers and total CSVD burden. Multivariate logistic regression analysis was performed following adjustment for potential confounders. Receiver operating characteristic (ROC) curve analysis with the DeLong test assessed the predictive value of plaque features for total CSVD burden.</p><p><strong>Results: </strong>Compared with the non-plaque group, the plaque group showed significantly higher proportions of severe white matter hyperintensities (WMHs), cerebral microbleeds (CMBs), and moderate-to-severe CSVD burden (<i>p</i> < 0.05). In multivariate analysis, the presence of plaque was an independent risk factor for WMHs (OR = 2.920), CMBs (OR = 1.995), and moderate-to-severe CSVD burden (OR = 2.853); plaque distribution was an independent risk factor for WMHs (OR = 3.367); eccentric plaques were independent risk factors for lacunar infarction (OR = 8.670) and CMBs (OR = 7.891); positive remodeling (OR = 9.285) and eccentric plaques (OR = 10.355) were independent risk factors for moderate-to-severe CSVD burden. ROC analysis demonstrated plaque vulnerability effectively predicted moderate-to-severe CSVD burden (AUC = 0.8808, <i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>In ischemic stroke patients, distinct intracranial atherosclerotic stenosis (ICAS) plaque features correlate with specific CSVD phenotypes. Vulnerable plaques not only significantly increase total CSVD burden but also effectively predict CSVD severity. These findings elucidate how ICAS influences CSVD burden progression from an HR-MRI perspective and facilitate clinical risk stratification.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"565-576"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145677449","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}

{"title":"Graph-theoretical analysis of resting-state EEG networks differentiates Alzheimer's disease and frontotemporal dementia.","authors":"Li Zhu, Yue Pan, Zi-Liang Wang","doi":"10.1080/00207454.2026.2620704","DOIUrl":"10.1080/00207454.2026.2620704","url":null,"abstract":"<p><strong>Background: </strong>Alzheimer's disease (AD) and frontotemporal dementia (FTD) are neurodegenerative diseases with overlapping symptoms, complicating diagnosis. EEG-derived brain connectivity metrics, based on network neuroscience, can quantify brain network organization, but comparisons between AD and FTD using standardized EEG datasets are limited.</p><p><strong>Methods: </strong>We analyzed a publicly available EEG dataset consisting of 36 AD patients, 23 FTD patients, and 29 healthy controls (HCs). Resting-state eyes-closed and eyes-open EEGs were analyzed across delta, theta, alpha, and beta bands. Phase-locking values (PLV) estimated functional connectivity between 19 electrodes, and graph-theory metrics were derived using the Brain Connectivity Toolbox. Group differences were assessed using ANOVAs with FDR correction, followed by Tukey tests.</p><p><strong>Results: </strong>AD patients showed reduced global efficiency and small-worldness, especially in the alpha and beta bands under eyes-closed conditions, indicating decreased integration. FTD patients exhibited localized network disruptions in frontal and central regions, particularly reduced node degree and local efficiency at F3/F4 and Pz electrodes, suggesting region-specific dysfunction. These differences were more prominent in the eyes-closed state.</p><p><strong>Conclusion: </strong>EEG graph-theory analysis revealed distinct network alterations in AD and FTD. AD showed impaired global integration and loss of small-world architecture, while FTD demonstrated region-specific disruptions. These findings suggest that EEG graph metrics may serve as cost-effective biomarkers for differentiating dementia subtypes and understanding disease-specific network dysfunction.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"677-685"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146029481","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}

{"title":"Lactate dehydrogenase-to-albumin ratio predicts ischemic stroke recurrence in patients with symptomatic carotid artery stenosis: a pilot retrospective cohort study.","authors":"Feng Ye, Nana Ren, Haitao Fang, Ke Shen","doi":"10.1080/00207454.2025.2605267","DOIUrl":"10.1080/00207454.2025.2605267","url":null,"abstract":"<p><strong>Aim: </strong>Symptomatic carotid artery stenosis (SCAS) patients face a high risk of ischemic stroke (IS) recurrence. This study evaluates the prognostic value of the serum lactate dehydrogenase (LDH)-to-albumin ratio (L/A) for predicting IS recurrence among SCAS patients.</p><p><strong>Methods: </strong>In this retrospective study (January 2020-January 2023), 307 conservatively managed SCAS patients were stratified into non-recurrence (<i>n</i> = 238) and recurrence (<i>n</i> = 69) groups based on 24-month follow-up. Serum LDH and albumin were measured, and L/A was calculated. Relationships between L/A and plaque neovascularization-related parameters (peak intensity, AUCTC, CAS rate) were assessed using Pearson correlation. Independent risk factors were determined with multivariate Cox regression, while the predictive performance and risk stratification of L/A were evaluated with ROC and Kaplan-Meier curves.</p><p><strong>Results: </strong>Significant differences existed in age, hypertension, hyperlipidemia, systolic blood pressure, low-density lipoprotein cholesterol, albumin, peak intensity, AUCTC, CAS rate, vulnerable plaques, and medication adherence between the two groups. Recurrent patients exhibited higher L/A (<i>p</i> < 0.005). L/A correlated positively to peak intensity (<i>r</i> = 0.323), AUCTC (<i>r</i> = 0.450), and CAS rate (<i>r</i> = 0.529; all <i>p</i> < 0.001). Hyperlipidemia, vulnerable plaques, peak intensity, CAS rate, and elevated L/A were independent risk factors for IS recurrence in SCAS patients. L/A could assist in predicting IS recurrence in SCAS patients (AUC: 0.801; sensitivity: 63.77%; specificity: 85.71%). High L/A significantly increased 2-year recurrence risk in SCAS patients.</p><p><strong>Conclusion: </strong>Elevated L/A potentially aids in predicting IS recurrence in SCAS patients and correlates to plaque neovascularization.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"591-599"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145768054","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}

{"title":"Liproxstatin-1 ameliorates cerebral ischemia-reperfusion injury through inhibiting ferroptosis.","authors":"Lie Xiong, Yuting Jin, Jingruo Zhang, Hanqiang Shi, Gaofeng Zhu, Ping Zhu, Yanlin Liu, Kaitao Luo","doi":"10.1080/00207454.2026.2620703","DOIUrl":"10.1080/00207454.2026.2620703","url":null,"abstract":"<p><strong>Objective: </strong>This study intends to investigate the protective impact of liproxstatin-1 against cerebral ischemia-reperfusion injury (CIRI) in rats and the corresponding underlying mechanism.</p><p><strong>Methods: </strong>CIRI rat models were constructed. Pathological changes in tissues were assessed at multiple levels, including infarct area, neuronal activity, and iron content through 2,3,5-triphenyl tetrazolium chloride (TTC) staining, Nissl staining and Prussian blue (PB) staining. The expression of oxidative damage factors and key ferroptosis-related genes was assessed by enzyme-linked immunosorbent assay (ELISA), quantitative real-time PCR (qPCR) or western blot (WB). Rat brain tissues were subjected to bulk RNA sequencing (bulk RNA-seq) analysis. Finally, <i>in vitro</i> oxygen-glucose deprivation/reoxygenation (OGD/R) models were established, and the inhibitory effect of liproxstatin-1 on ferroptosis was identified by measuring cell viability, Fe²⁺ levels and lipid peroxidation.</p><p><strong>Results: </strong><i>In vivo</i> experiments demonstrated that liproxstatin-1 markedly improved neurological function and neuronal pathological damage in CIRI rats, while reducing iron content and oxidative damage. Bulk RNA-seq analysis revealed that differentially expressed genes (DEGs) were mainly enriched in the IL-17 signaling pathway, ether lipid metabolism, TNF signaling pathway and ferroptosis. Consistently, qPCR and WB results showed that liproxstatin-1 treatment increased the expression of FTH1 and GPX4, while decreasing the expression of NOX1, ACSL4, COX2 and TFR1 in rat brain tissues. <i>In vitro</i> experiments further demonstrated that liproxstatin-1 significantly enhanced cell viability and reduced Fe²⁺ and reactive oxygen species (ROS) levels.</p><p><strong>Conclusions: </strong>Liproxstatin-1 inhibits the process of ferroptosis and alleviates CIRI in rats.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"665-676"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146097109","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}

{"title":"A predictive model for postoperative delirium in patients admitted to the intensive care unit after cardiac valve surgery.","authors":"Zhizhen Shi, Zhen Yuan, Jiwei Cheng, Yanxin Zhao","doi":"10.1080/00207454.2026.2623101","DOIUrl":"10.1080/00207454.2026.2623101","url":null,"abstract":"<p><strong>Introduction: </strong>Postoperative delirium (POD) frequently occurs in patients following cardiac valve surgery in the intensive care unit (ICU), and is linked to adverse outcomes and extended hospitalization. The purpose of this study was to establish and validate a model for predicting high-risk individuals.</p><p><strong>Methods: </strong>This retrospective analysis enrolled adult patients who had cardiac valve surgery and subsequent ICU admission. Potential predictors were screened using LASSO logistic regression with cross-validation, followed by multivariable logistic regression, and a nomogram was developed from the final model. Model performance was assessed by receiver operating characteristic (ROC) curve analysis, calibration plots and decision curve analysis (DCA), and was benchmarked against the Sequential Organ Failure Assessment (SOFA) score.</p><p><strong>Results: </strong>In total, 3249 patients were analyzed, of whom 535 (16.5%) developed POD. Significant predictors identified were oxygen saturation, respiratory rate, urea nitrogen, INR, white blood cell (WBC) count, hemoglobin, SOFA score, myocardial infarction, diabetes and hyperlipidemia. The nomogram yielded AUCs of 0.766 (95% CI: 0.738-0.794) in the training cohort and 0.789 (95% CI: 0.750-0.828) in the validation cohort, showing significantly better predictive accuracy than the SOFA score (<i>p</i> < 0.05).</p><p><strong>Conclusions: </strong>The proposed model demonstrates strong predictive ability for POD in cardiac valve surgery patients and may aid clinicians in early risk stratification and targeted intervention. Further prospective validation is needed.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"710-721"},"PeriodicalIF":1.5,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146131886","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}

{"title":"Identification of PANoptosis-related biomarkers in spinal cord injury (SCI) through multi-omics analysis and machine learning.","authors":"Song Xu, Guozhu Wang, Xiongwen Zhang, Xie Dong, Jin Liang, Tao Bai","doi":"10.1080/00207454.2026.2664800","DOIUrl":"https://doi.org/10.1080/00207454.2026.2664800","url":null,"abstract":"<p><strong>Background: </strong>Spinal cord injury (SCI) is a severe neurological disorder lacking early diagnostic biomarkers and precise therapeutic targets. PANoptosis, a combined cell death process involving apoptosis, necroptosis, and pyroptosis, is implicated in poor functional recovery after SCI, yet its biomarkers remain unexplored. This study aims to identify biomarkers associated with PANoptosis in SCI.</p><p><strong>Methods: </strong>Differentially expressed genes (DEGs) associated with SCI were identified using bioinformatics analysis, followed by functional enrichment. Weighted gene co-expression network analysis (WGCNA) and three machine learning algorithms (random forest, LASSO, and SVM-RFE) were used to identify core PANoptosis-related genes. A protein-protein interaction network and a nomogram model were constructed, and immune infiltration was analyzed. Gene expression and function were validated <i>in vitro</i> using an LPS-induced BV2 microglial injury model.</p><p><strong>Results: </strong>A total of 1,167 DEGs were identified, mainly enriched in immune and calcium signaling pathways. Five core genes (PPP3CC, DFFB, PSMA6, PRKCQ, and PIK3CB) were identified through integrated analysis. The nomogram showed that higher PIK3CB and PSMA6 expression was associated with increased risk, whereas higher PPP3CC, DFFB, and PRKCQ expression indicated lower risk. These genes were significantly correlated with multiple immune cell subsets. <i>In vitro</i> experiments confirmed altered protein expression after LPS stimulation, with PPP3CC most notably downregulated. PPP3CC overexpression partially restored cell viability and reduced IL-6, IL-1β, and TNF-α levels.</p><p><strong>Conclusion: </strong>PANoptosis appears to play a significant role in the pathogenesis of SCI. The identified genes are potential biomarkers of immune regulation, and PPP3CC may serve as a protective factor and therapeutic target.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-15"},"PeriodicalIF":1.5,"publicationDate":"2026-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147771078","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}

{"title":"Clinical association of serum miR-524-5p levels with injury severity and prognostic outcomes in traumatic brain injury.","authors":"Xianfeng Yu, Zhenzhen Hu","doi":"10.1080/00207454.2026.2659359","DOIUrl":"https://doi.org/10.1080/00207454.2026.2659359","url":null,"abstract":"<p><strong>Background: </strong>Traumatic Brain Injury (TBI) has a complex pathology, with no specific biomarkers for diagnosis/prognostic stratification. miRNAs are key regulators of TBI pathological progression.</p><p><strong>Objective: </strong>To assess miR-524-5p's diagnostic/prognostic value in TBI and its regulation of BV2 microglia.</p><p><strong>Methods: </strong>150 TBI patients (varying severity) and 45 controls were recruited. Serum miR-524-5p was quantified; Receiver operating characteristic (ROC)/proportional hazards model (Cox) analyses linked it to TBI severity and 28-day outcomes. LPS-stimulated BV2 cells were used to test their effects on viability, proliferation, apoptosis, inflammation, and oxidative stress.</p><p><strong>Results: </strong>miR-524-5p was significantly elevated in TBI (positively correlated with severity), with good diagnostic value for TBI subtypes. High expression independently predicted poor TBI outcomes and severe TBI 28-day mortality (all <i>p</i> < 0.05). It inhibited BV2 proliferation, promoted apoptosis, and exacerbated LPS-induced inflammation (IL-6, TNF-α, IL-1β) and oxidative stress.</p><p><strong>Conclusion: </strong>miR-524-5p is a potential TBI diagnostic/prognostic biomarker, regulating microglia-mediated neuroinflammation and oxidative stress, and offering new insights into TBI pathobiology.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-10"},"PeriodicalIF":1.5,"publicationDate":"2026-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147771081","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}

{"title":"Lumbar Spine Disorder Detection using Segmentation and IBN-MGNet Classification with Enhanced Feature Extraction.","authors":"Katepogu Surendra, B Eswara Reddy","doi":"10.1080/00207454.2026.2662684","DOIUrl":"https://doi.org/10.1080/00207454.2026.2662684","url":null,"abstract":"<p><p>Back pain affects millions worldwide, with lumbar spine disorders (LSDs) being a major contributing factor due to the spine's critical role in supporting body weight. This study aims to improve the detection of LSDs using advanced deep learning techniques. The proposed framework introduces a novel pipeline that begins with bilateral filtering for image preprocessing, followed by segmentation using a Proposed Residual Block with Patch-based RESU-NET (PRB-PRESU-NET). Feature extraction integrates Gaussian Filter with Scharr Operator-based Gradient Local Ternary Patterns (GSO-GLTP), MT, and deep features, where the Scharr operator enhances edge detection compared to conventional Sobel filters. Finally, classification is performed using the Improved Bottle Neck-based Modified GhostNet (IBN-MGNet), which achieves a high accuracy of 0.9312, outperforming existing methods. The innovation lies in the integration of refined segmentation, feature extraction, and classification strategies, resulting in a reliable and precise system for lumbar spine disorder detection.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-24"},"PeriodicalIF":1.5,"publicationDate":"2026-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147729126","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}