International Journal of Neuroscience最新文献

{"title":"Self-improved LeNet and modified SegNet for Alzheimer's disease classification using MRI.","authors":"Rajasree R S, Gopika G S, Supriya S, Archana P, Ashok K","doi":"10.1080/00207454.2026.2644529","DOIUrl":"10.1080/00207454.2026.2644529","url":null,"abstract":"<p><p>Alzheimer's disease is the leading cause of dementia, typically affecting the elderly. It results in cognitive and memory loss with progression that can lead to death. Although the exact cause remains unclear, it is believed to involve genetics, diet and environment. One key sign of Alzheimer's disease is the shrinkage of the hippocampus and frontal lobe cortex. Magnetic resonance imaging is frequently used to diagnose Alzheimer's disease due to its ability to capture detailed images of soft tissues. This study proposes an innovative Multi-head Parallel LeNet5-based Alzheimer's Disease Classification framework. The proposed Multi-head Parallel LeNet5-based Alzheimer's Disease Classification system processes magnetic resonance imaging images through several key steps. First, the Modified Wiener Filter is applied for noise reduction during preprocessing. Next, Pyramid Convolutional Kernels-based SegNet performs segmentation to isolate relevant brain regions. In the feature extraction phase, Improved Local Gabor Binary Pattern Histogram Sequence, shape features and deep features from VGG16 and ResNet are used to capture both texture and structural details. These features are augmented and then input into a Multi-head Parallel LeNet-5 (MPL5) classifier, which produces the final classified output for accurate and early detection of Alzheimer's disease. The Multi-head Parallel LeNet5-based Alzheimer's Disease Classification model predicts a higher accuracy score of 98% to confirm that it more consistently classifies Alzheimer's disease using magnetic resonance imaging.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"904-923"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147457374","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":"Language-related functional connectivity in post-stroke aphasia: preliminary findings from a graph-theoretical and interpretable machine learning study.","authors":"Ngoc Thanh Hoang, Christof Karmonik, Thishuli Walpola, Niluka Dilhani, Abo Masahiro, Atsushi Senoo","doi":"10.1080/00207454.2026.2644508","DOIUrl":"10.1080/00207454.2026.2644508","url":null,"abstract":"<p><strong>Purpose: </strong>To have an insight into language-related functional connectivity in post-stroke aphasia (PSA) from graph theory measurements when performing an ability-matched auditory-verbal task fMRI.</p><p><strong>Methods: </strong>Fifty-seven PSA patients were stratified into high-level (<i>n</i> = 22) and low-level (<i>n</i> = 35) groups using an ability-matched auditory-verbal fMRI paradigm. Functional connectivity was modeled <i>via</i> ROI-to-ROI generalized psychophysiological interactions, from which graph metrics for predefined language nodes were extracted. Network measure differences were assessed <i>via</i> ANCOVA, followed by binary classification with nested cross-validation. Performance (accuracy, sensitivity, specificity, AUC) and model interpretability (SHAP) were evaluated for the best-performing model.</p><p><strong>Results: </strong>Random Forest classification reached a significant AUC of 0.671 (<i>p</i> = 0.035, 95%CI [0.512, 0.816]) and an accuracy of 0.667, outperforming other models in analyzing task-embedded resting-state data. Notably, the model demonstrated high sensitivity (0.800) in identifying task levels. SHAP analysis revealed that the left temporo-occipital inferior temporal gyrus (toITG_L) and the right posterior supramarginal gyrus (pSMG_R) were the most influential predictors. High-level task was characterized by increased Local Efficiency in the bilateral pSMG and decreased Global Efficiency in the toITG_L.</p><p><strong>Conclusions: </strong>Our findings suggest that the high-level group relies on a synergistic interaction between the ventral stream (toITG) and the dorsal stream (pSMG). The shift toward increased local specialization, particularly the compensatory recruitment of the right pSMG, highlights a critical neural modularity strategy for functional recovery. These results suggest the feasibility of integrating graph metrics with interpretable machine learning, offering preliminary insights that could support the development of objective tools for monitoring aphasia rehabilitation.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"889-903"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147443638","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":"Therapeutic role of miR-296-5p in hypertensive stroke through ACE2-dependent Edn1 suppression.","authors":"Jibo Li, Feng Chen, Chanchan Liu, Feng Xu","doi":"10.1080/00207454.2026.2652632","DOIUrl":"10.1080/00207454.2026.2652632","url":null,"abstract":"<p><strong>Objective: </strong>This study investigated the mechanism of miR-296-5p in hypertensive stroke.</p><p><strong>Methods: </strong>Ten patients with acute stroke and ten healthy volunteers were selected. EPCs were isolated and transfected, followed by assessment of cell activities. A mouse middle cerebral artery occlusion (tMCAO) model was established, and neural function deficits were evaluated using neural function score, forelimb placement test, and balance beam walking test. ACE2 and Mas receptor expression were assessed by TUNEL staining and immunohistochemical analysis. Serum Ang-(1-7) levels were measured using an ELISA kit. miR-296-5p, ACE2, and Mas were detected by RT-qPCR. The binding relationship between miR-296-5p and ACE2 was verified by dual luciferase assay and FISH.</p><p><strong>Results: </strong>miR-296-5p expression was elevated in the peripheral blood of stroke patients. Lower HDL-C levels were associated with higher hemorrhagic volume, increased NIHSS score, and elevated miR-296-5p expression. miR-296-5p expression was also increased in brain tissue of tMCAO mice. Knockdown of miR-296-5p increased neuron numbers, indicating enhanced survival and reduced apoptosis. The decrease in Ang-(1-7) following miR-296-5p knockdown may reflect a feedback mechanism involving ACE2 regulation. Additionally, miR-296-5p targeted ACE2 expression, which may indirectly regulate Mas transcription through signaling pathways involved in neuroinflammation and ischemic injury. Overexpression of ACE2 reduced the effect of miR-296-5p knockdown on neural repair in tMCAO mice.</p><p><strong>Conclusion: </strong>Serum miR-296-5p is a highly predictive marker for stroke prognosis. miR-296-5p alleviates hypertensive stroke by inhibiting Edn1 through ACE2.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"924-937"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147573904","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":"Key challenges in traumatic brain injury treatment: integrated mechanisms, translational animal models, and advanced drug delivery systems.","authors":"Junzhe Yang, Yuanyuan Zhang, Jingzhe Wang, Shan Ma","doi":"10.1080/00207454.2026.2644509","DOIUrl":"10.1080/00207454.2026.2644509","url":null,"abstract":"<p><p><b>Aim:</b> To synthesize the mechanistic cascade of secondary injury after traumatic brain injury (TBI) and evaluate emeging drug delivery systems (DSS)in the context of translational therapeutic development.</p><p><p><b>Methods:</b> This review integrates evidence on secondary injury mechanisms-inclding blood-brain barrier disruption, excitotoxicity, neuroinflammation, oxidative stress, mitochondrial dysfunction, and cerebral edema. Animal models were assessed for reproducibility and biomechanical relevance. Emerging DDS (including liposomes, injectable hydrogels, polymeric nanoparticles, extracellular vesicles, and inorganic nanoformulations) were compared regarding strengths, limitations, safety concerns, manufacturability, and clinical feasibility. Translational barriers and lessons from failed trials were analyzed to propose a mechanism-linked delivery framework.</p><p><p><b>Results:</b> Secondary injury mechanisms are dynamically interconnected, offering multiple therapeutic targets, but animal model variability limits reproducibility. Each DDS platform demonstrates distinct advantages and limitations in biocompatibility, targeting, and scalability. Despite preclinical promise, clinical translation remains challenging due to poor model fidelity, insufficient pharmacokinetic data, and misalignment between injury mechanisms and delivery strategies.</p><p><p><b>Conclusion:</b> Links secondary injury mechanisms with rationally designed DDS may improve translation outcomes. Enhancing preclinical riogr and aligning formulation strategies with pathophysiological targets are critical for developmenting effective TBI therapies.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1066-1080"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147457298","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":"Platelet-to-lymphocyte ratio as an inflammatory marker associated with stroke severity in acute ischemic stroke: a prospective observational study.","authors":"Sathiyanarayanan Janakiraman, Kawiraj N, C Pravin Coumar","doi":"10.1080/00207454.2026.2654040","DOIUrl":"10.1080/00207454.2026.2654040","url":null,"abstract":"<p><p>Stroke is a major cause of disability and mortality in India, occurring as ischemic or hemorrhagic. Platelets drive thrombosis and inflammation, while lymphocytes exert anti-inflammatory effects. The platelet-to-lymphocyte ratio (PLR) reflects these opposing mechanisms. This study evaluated PLR in acute ischemic stroke and its correlation with 'National Institutes of Health Stroke Scale (NIHSS)'. A prospective observational study was conducted at Sri ManakulaVinayagar Medical College, Puducherry (January-December 2023). Sixty-four acute ischemic stroke patients were evaluated. NIHSS was recorded, and PLR calculated from complete blood counts at admission and after five days. Most patients were above 45 years (87.5%) and male (60.9%). Dyslipidemia (65.6%) and diabetes mellitus (64.1%) were the commonest comorbidities. The middle cerebral artery was most frequently affected (48.4%). PLR showed a significant positive correlation with NIHSS at admission and day five. PLR is a simple, cost-effective marker for predicting stroke severity and outcomes, aiding management decisions.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"951-967"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147591838","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":"Retinal nerve fiber layer thickness as a marker of neurodegeneration in epilepsy.","authors":"Mohammed M Masoud, Aya Abd-El Monem Mohamed, Mona Hussein, Asmaa Mohamad Samir, Shaima Hossam El-Dien Kamel, Alaa M Essam","doi":"10.1080/00207454.2026.2664786","DOIUrl":"10.1080/00207454.2026.2664786","url":null,"abstract":"<p><strong>Objectives: </strong>The relationship between epilepsy and neurodegeneration has recently been a subject of debate, particularly regarding whether neurodegeneration is a cause or a consequence of epilepsy. Given that the retina is an extension of the brain and closely connected to it, retinal layer thickness can serve as a biological marker of neurodegeneration. The aim of this work was to measure retinal nerve fiber layer (RNFL) thickness in patients with epilepsy in comparison to healthy controls, and to study the impact of epilepsy duration and seizure frequency on RNFL thickness in those patients.</p><p><strong>Methods: </strong>This case-control study was conducted on 53 patients matched clinical definition of epilepsy established by the International League Against Epilepsy (ILAE) 2017, and 50 healthy controls. Cognitive assessment using Montreal cognitive assessment scale (MOCA), and measurement of RNFL thickness using Spectral domain Optical Coherence Tomography (SD-OCT), were done to all included patients and controls.</p><p><strong>Results: </strong>The peripapillary RNFL thickness (superior, inferior & average) were all significantly reduced in both eyes in epileptic patients compared to healthy controls (<i>p</i>-value <0.05). There was a statistically significant difference between epileptic patients and controls regarding MOCA score. There was no statistically significant impact of seizure control, history of status epilepticus, anti-epileptic drugs, seizure frequency, or disease duration on RNFL thickness.</p><p><strong>Conclusion: </strong>There was a statistically significant reduction of the retinal nerve fiber layer thickness in epileptic patients in comparison to healthy controls. Epileptic patients had significant impairment in cognitive functions in comparison to healthy controls.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1042-1050"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147814622","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":"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":"1001-1010"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","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":"Methylation of tenascin XB mediated by methyltransferase-like 3 can effectively suppress neural injury and cellular apoptosis induced by ischemic stroke.","authors":"Lige Ding, Xiaojie Feng, Fan Gao","doi":"10.1080/00207454.2026.2652635","DOIUrl":"10.1080/00207454.2026.2652635","url":null,"abstract":"<p><strong>Background: </strong>Ischemic stroke (IS), a cerebrovascular disorder due to brain vessel blockage, poses a direct life-threatening risk. Tenascin XB (TNXB), a glycoprotein, is key in regulating extracellular matrix structure and signal transduction. This study aims to unveil the mechanism by which TNXB alleviates IS.</p><p><strong>Methods: </strong>Differentially expressed genes (DEGs) in IS were screened from GSE58294 dataset, and GO and KEGG enrichment analyses of DEGs were conducted using the SangerBox website. Protein expression was detected by western blot; cell viability was assessed <i>via</i> CCK-8 assay; LDH release was measured with an LDH assay kit; and cell apoptosis rate was evaluated by flow cytometry. TNXB mRNA modification sites were predicted using SRAMP website; the N6-methyladenosine (m6A) level of RNA was detected using MeRIP assay; the half-life of TNXB mRNA was assessed by actinomycin D assay.</p><p><strong>Results: </strong>In IS, TNXB was underexpressed and associated with the PI3K-Akt pathway. Overexpression of TNXB reversed the OGD/R-induced decline in SK-N-SH cell viability, the increase in LDH levels, and the exacerbation of apoptosis. Methyltransferase-like 3 (METTL3) stabilized TNXB expression <i>via</i> the m6A methylation mechanism. By targeting TNXB, METTL3 mitigated OGD/R-induced cell damage. Additionally, METTL3 activated the PI3K-Akt pathway <i>via</i> targeting TNXB.</p><p><strong>Conclusions: </strong>METTL3 stabilizes TNXB expression through m6A methylation modification, thereby alleviating IS-induced cellular damage. This suggests that targeting the METTL3-TNXB axis may represent a potential therapeutic strategy for IS.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"938-950"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147673361","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":"Bidirectional Mendelian randomization study of causal associations between white-matter structural connectivity and multiple sclerosis.","authors":"Zhenxing Yu, Haijun Chen, Zhipeng Zhang, Yuhan Xiong, Jing Zha, Lei Deng, Xianbin Zhang","doi":"10.1080/00207454.2026.2658643","DOIUrl":"10.1080/00207454.2026.2658643","url":null,"abstract":"<p><strong>Background: </strong>Multiple sclerosis (MS) is associated with widespread network disruption, but whether specific white-matter structural connectivity (WMSC) phenotypes contribute causally to MS susceptibility remains unclear.</p><p><strong>Methods: </strong>We performed bidirectional two-sample Mendelian randomization (MR) using genome-wide association study (GWAS) summary statistics for 206 tractography-derived WMSC phenotypes (UK Biobank; <i>N</i> = 26,333) and MS susceptibility (IMSGC; <i>N</i> = 115,803 of European ancestry). Primary inference used inverse-variance weighted (IVW) MR under a multiplicative random-effects model, complemented by MR-Egger, weighted median, weighted mode, and simple mode.</p><p><strong>Results: </strong>In forward MR, 12 WMSC phenotypes remained associated with MS susceptibility after direction-concordance filtering and robustness assessment. These signals were not randomly distributed across the structural connectome: risk-increasing effects were concentrated in salience/control-related cortico-subcortical and sensorimotor couplings, particularly connections involving the amygdala, putamen, and contralateral somatomotor network, whereas inverse associations were more prominent in default-mode/limbic and cross-network connections, including limbic-accumbens, limbic-caudate, default-mode-hippocampus, and visual-default-mode links. Sensitivity analyses did not indicate directional pleiotropy, outlier-driven distortion, or single-variant dependence among the retained traits. No reverse causal effect of MS liability on the prioritized WMSC phenotypes was supported.</p><p><strong>Conclusions: </strong>These bidirectional MR results support a circuit-selective model in which genetically influenced variation in specific cortico-subcortical WMSC phenotypes is associated with MS susceptibility, with risk-increasing effects concentrated in salience/control-basal ganglia-sensorimotor circuits and inverse associations enriched in default-mode/limbic and cross-network couplings. The absence of robust reverse effects is more consistent with predisposing connectivity architectures than with MS liability causally altering WMSC.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"988-1000"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147673450","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":"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 LSD detection.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1011-1030"},"PeriodicalIF":1.7,"publicationDate":"2026-07-01","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}