Developmental Neurobiology最新文献

{"title":"Age-Related Decline in Dendritic Architecture of Hippocampal CA1 Principal Neurons in a Mouse Model of Fragile X Syndrome","authors":"Neelam Noorie Umar Farooqi,&nbsp;Jens R. Nyengaard,&nbsp;Tue G. Banke","doi":"10.1002/dneu.70030","DOIUrl":"10.1002/dneu.70030","url":null,"abstract":"<p>Fragile X syndrome (FXS) is the most common inherited cause of intellectual disability and is associated with attention deficits, hyperactivity, anxiety, impulsivity, and repetitive behaviors. The disorder results from transcriptional silencing of the <i>FMR1</i> gene, leading to loss of fragile X messenger ribonucleoprotein (FMRP), an RNA-binding protein that regulates local dendritic translation by repressing ribosomal activity. To examine how impaired local protein synthesis affects dendritic organization, we used Golgi–Cox staining to analyze hippocampal CA1 principal neurons across four developmental stages (P14–21, P30–40, P60–80, and P120–150) in an FXS mouse model. We identified a progressive reduction in dendritic complexity, reflected by decreased Sholl intersections and reduced dendritic branch number and length. In contrast, spine density was increased in both apical and basal dendrites during early development but normalized to wild-type levels in adulthood. Collectively, these structural alterations are likely to disrupt neural circuit development, with downstream consequences for cognition and behavior characteristic of FXS.</p>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dneu.70030","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147688772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction to “E2E-TM: Dual-Way Feature Extraction and End-to-End Transformer Based Parkinson's Disease Diagnosis Using Integrated MR Imaging and Electroencephalogram Signals”","authors":"","doi":"10.1002/dneu.70029","DOIUrl":"10.1002/dneu.70029","url":null,"abstract":"<p>Mohanapriya, S., Subramaniam, K. (2025). E2E-TM: Dual-Way Feature Extraction and End-to-End Transformer Based Parkinson's Disease Diagnosis Using Integrated MR Imaging and Electroencephalogram Signals. <i>Developmental Neurobiology</i>, 85, e23002. https://doi.org/10.1002/dneu.23002</p><p>In the originally published version of this article, the authors’ institutional affiliation was inadvertently removed during the proof correction stage.</p><p>The correct affiliation should read as follows:</p><p>Department of Computer Science and Engineering, Karpagam Academy of Higher Education, Coimbatore, India</p><p>The authors apologize for this error and any inconvenience caused.</p>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dneu.70029","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147590695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Intriguingly Social N400 of Preverbal Infants","authors":"Bálint Forgács,&nbsp;Eugenio Parise,&nbsp;Judit Gervain,&nbsp;Nóra Berkes,&nbsp;Adél Szigeti,&nbsp;Belma Bumin Feride,&nbsp;Ildikó Király","doi":"10.1002/dneu.70027","DOIUrl":"10.1002/dneu.70027","url":null,"abstract":"<p>Recent investigations have shown that the neural processing of linguistic content may interact with social cognition. Specifically, semantic processing, as reflected by the N400 event-related potential, appears to be sensitive to manipulations of Theory of Mind (ToM), the ability to attribute mental content to social partners. In this study, we labeled objects for 14-month-old infants either correctly or incorrectly (an N400 manipulation), ehiter in the presence or absence of an observer. We found that the N400 response was enhanced in the presence (relative to the absence) of the social partner, but only for the incongruent labels. ToM's role in language comprehension has long been proposed, but the outcome that ToM may impact not solely pragmatic but also semantic level computations—already at the developmental onset of the N400 response—may warrant a reevaluation of the functional organization of the language system. Although a large body of developmental research suggests that language may be a prerequisite for ToM, our findings raise the possibility that ToM may play a fundamental role in language acquisition. Linguistic content may be processed by a semantic system functioning mentalistically, recovering meaning as intended by communicative partners, which could hold the key to the rapid word learning of infants.</p>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13036711/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147580865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Multiparametric, Reliability-Weighted Fetal Brain Biometry Portrait for the Prediction of Multi-Domain Neurodevelopmental Outcomes Across 12 and 24 Months of Age","authors":"Canini M.,&nbsp;Pecco N.,&nbsp;Oprandi C.,&nbsp;Calloni S.,&nbsp;Scotti R.,&nbsp;Messina A.,&nbsp;Lombardi L.,&nbsp;Cavoretto P.,&nbsp;Candiani M.,&nbsp;Falini A.,&nbsp;Baldoli C.,&nbsp;Della Rosa P. A.","doi":"10.1002/dneu.70020","DOIUrl":"10.1002/dneu.70020","url":null,"abstract":"<div>\u0000 \u0000 <p>Prenatal brain structural MRI opens a pioneering window on the identification of brain–behavior relationships. In this work, we aim to establish the reliability of fetal brain structural biometric parameters for delineating a “<i>fetal biometry portrait</i>.” Fetal brain biometric parameters were assessed in a sample of 202 fetuses with typical structural brain development scanned between 21.3 and 36.7 gestational weeks and encompassed (i) local and global cortical, (ii) posterior fossa, and (iii) deep gray matter nuclei development. Prenatal brain MRI scoring was performed by four independent raters, and reliability was assessed. Neurodevelopment was assessed at 12 and 24 months, using the Bayley-III scales (BSID-III). A convex relaxed clustered multi-task learning (CMTL) model, was used (i) to test the fetal brain biometry “reliability-weighted” model performance, (ii) to identify a shared clustered structure among the different BSID-III domains, (iii) to mark clusters incorporating multiparametric features ensembles of fetal structural maturation, and (iv) to characterize biometrical features embedded in specific clusters or shared between clusters for the prediction of neurodevelopmental outcomes in all BSID-III domains across timepoints. Results showed that the CMTL ‘<i>reliability-weighted</i>’ model achieved a good performance. Four clusters were identified, grouping patterns of BSID-III domains. Multiparametric ensembles were identified with cluster-specific and clusters-shared top-ranked features.</p>\u0000 </div>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147580910","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":"Using FoxP2 to Distinguish Direct and Indirect Basal Ganglia Pathways for Vocal Learning in Songbirds","authors":"Aditi Jagannathan,&nbsp;Mira Nigudkar,&nbsp;Sarah W. Bottjer","doi":"10.1002/dneu.70024","DOIUrl":"10.1002/dneu.70024","url":null,"abstract":"<p>The cortico-basal ganglia pathways that mediate vocal learning in zebra finches (<i>Taeniopygia guttata</i>) are localized in parallel circuits formed by CORE and SHELL subregions. These circuits traverse a specialized region of the basal ganglia essential for vocal learning (Area X), which includes intermixed striatal and pallidal neurons. The pallidal neurons within Area X exhibit analogs of mammalian direct and indirect pathways that may have opposing effects and thereby increase or inhibit thalamic activity, respectively. Direct pallidal neurons of Area X send projections to the medial portion of the dorsolateral anterior thalamic nucleus (DLM), whereas indirect pallidal neurons form intrinsic connections onto DLM-projecting neurons. Expression of the transcription factor FoxP2 in the basal ganglia is necessary for normal vocal learning and production in both humans and songbirds. We used tract-tracing techniques to label direct pallidal Area X→DLM projection neurons and immunohistochemical techniques to label neurons expressing the transcription factor FoxP2 in adult and juvenile male zebra finches. Our results showed that DLM-projecting neurons did not express FoxP2 in either adults or juveniles. Measurements of nuclear sizes revealed a population of large neurons that expressed FoxP2 but were not retrogradely labeled from DLM. A putative marker of striatal neurons (DARPP-32) did not co-localize with FoxP2 in many of these large neurons, suggesting that they form a class of indirect pallidal neurons. These findings offer FoxP2 as a possible marker for indirect pallidal neurons and support the existence of different subpopulations of neurons that correspond to direct and indirect pathways within Area X.</p>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/dneu.70024","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147510307","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improved Hybrid Local Binary Structural Pattern Shallow Graph Deep Convolutional Attention Neural Networks With Synergistic Fibroblast Optimization for Automated Epileptic Seizure Detection and Diagnosis in EEG Signals","authors":"R. Sonia,&nbsp;Pushpa B.,&nbsp;Amit Jain,&nbsp;Sivarajan S.","doi":"10.1002/dneu.70026","DOIUrl":"10.1002/dneu.70026","url":null,"abstract":"<div>\u0000 \u0000 <p>Epileptic seizure (ES) detection from electroencephalography (EEG) signals is difficult because of noise and the intricate, patient-specific nature of brain activity. Traditional methods often suffer from low accuracy, high computational costs, and poor generalization. To tackle these challenges, an improved hybrid local binary structural pattern shallow graph deep convolutional attention neural networks with synergistic fibroblast optimization (IHLBSPSGDCAN2Nets + SFO) is proposed for automated ES detection as well as diagnosis in EEG signals. First, the input EEG signals obtained in the Bonn and Children's Hospital Boston and Massachusetts Institute of Technology (CHB-MIT) datasets are subjected to preprocessing using the subaperture keystone transform matched filtering (SAKTMF) approach, which allows reducing noise and artifact effects. Subsequently, feature extraction is performed using the second-order synchroextracting transform combined with empirical wavelet transform (SOSTC-EWT), capturing both time-frequency as well as spectral characteristics of EEG signals with high precision. For classification, the improved hybrid local binary structural pattern shallow graph deep convolutional attention neural network (IHLBSPSGDCAN2Nets) architecture is employed, which integrates the improved local binary pattern shallow deep convolutional neural network (ILBPSDCNN) with a hybrid structural graph attention network (HSGAN). Synergistic fibroblast optimization (SFO) is also employed to optimize hyperparameters and achieve optimal model performance, with accelerated convergence, fewer classification errors, and minimal computational cost. Results from experiments demonstrate that IHLBSPSGDCAN2Nets + SFO delivers an outstanding classification accuracy of 99.9, by far exceeding that of conventional methods. The proposed method effectively handles noise, extracts precise EEG features, optimizes model performance, enhances convergence, and significantly improves classification reliability, robustness, and efficiency, outperforming traditional methods in automated ES detection.</p>\u0000 </div>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147510243","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 Robust Computational Framework for Autism Spectrum Disorder Identification Using Optimized Image Processing and Hybrid Learning Models","authors":"A. Kanchana,&nbsp;Rashmitha Khilar","doi":"10.1002/dneu.70028","DOIUrl":"10.1002/dneu.70028","url":null,"abstract":"<div>\u0000 \u0000 <p>The classification of autism spectrum disorder (ASD) has reached a new stage of development that includes the former machine learning (ML) designs and image analysis designs. The study introduces a new framework that uses discrete wavelet transformation with Gaussian filter kernel (DWT-GFK) to achieve the robust preprocessing of the image, including noise removal and preserving edges without affecting the quality of the image. The VGG16 deep learning model is used to extract features, elaborate visual patterns, and data features that are pertinent to the identification of ASD. The classification stage uses a family of Elevated Learning-based Boosting Network with Hybrid Learning with Neural Classifier Logic (ELBN–HLNCL) that is optimized with the help of Walrus Optimization Algorithm (WaOA) to derive optimal model settings. Experimental testing of the proposed methods using the autism image dataset (AID), ASD screening dataset, and ABIDE dataset has shown the superiority of the proposed methodology with 99.95% accuracy, 99.9% recall, 99.8% precision, and 99.85% <i>F</i>1-score. The results demonstrate strong competitive performance compared with existing ASD classification approaches across multiple datasets. The findings offer promising applications in early ASD detection, facilitating improved diagnostic tools and aiding healthcare professionals in accurate assessments.</p>\u0000 </div>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147510238","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":"Exploring the Role of Altered Serum IL-12 and CRP Levels in the Pathophysiology and Development of Generalized Anxiety Disorder: A Cross-Sectional Comparative Study","authors":"Tasnu Ara Nur,&nbsp;Farzana Akter Munny,&nbsp;M. M. A. Shalahuddin Qusar,&nbsp;Md. Rabiul Islam,&nbsp;Zabun Nahar","doi":"10.1002/dneu.70025","DOIUrl":"10.1002/dneu.70025","url":null,"abstract":"<div>\u0000 \u0000 <p>Cytokines and immune imbalance in generalized anxiety disorder (GAD) have attracted greater interest of all researchers. Studies indicate the involvement of pro-inflammatory cytokines in the pathogenesis of GAD. Therefore, the present study investigated the serum concentrations of interleukin (IL)-12 and carbon-reactive protein (CRP) in GAD patients to explore their role in the pathophysiology of diseases. This study included 52 GAD patients and 30 healthy controls (HCs) matched by age and sex. A psychiatrist diagnosed GAD patients and evaluated HCs according to the DSM-5 criteria. The severity of GAD cases was assessed using a standardized and validated clinical rating scale (GAD-7). ELISA kits were utilized to measure the serum concentrations of IL-12 and CRP in blood. GAD patients revealed significantly elevated concentrations of IL-12 (7.60 ± 1.53 pg/mL) than HCs (3.73 ± 0.42 pg/mL). These increased levels were positively correlated with GAD-7 scores (<i>r</i> = 0.377, <i>p</i> = 0.006). This IL-12 also demonstrated strong predictive ability in the receiver operating characteristic (ROC) investigation, with an area under the curve (AUC) of 0.828 (<i>p</i> &lt; 0.001), indicating 81.6% sensitivity and 77.8% specificity at a threshold of 3.56 pg/mL. In contrast, the level of CRP was not changed between the groups (2.59 ± 0.13 vs. 2.55 ± 0.16 mg/L); furthermore, no association was detected between CRP levels and GAD-7 scores (<i>r</i> = 0.021, <i>p</i> = 0.881). Our investigation indicates that IL-12 in blood levels, but not CRP, may be associated with the pathophysiology and development of GAD. The altered serum IL-12 levels in GAD patients might be the result of disease pathogenesis. However, we recommend more advanced investigation with greater sample sizes to verify the probable diagnostic utility of IL-12.</p>\u0000 </div>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147510226","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":"Abnormal Behavior of Dopamine Transporter Knockout Rats During Early Ontogeny","authors":"Dmitrii Traktirov,&nbsp;Ekaterina Kulikova,&nbsp;Viktoria Burdinskaya,&nbsp;Ilya Nazarov,&nbsp;Nina Pestereva,&nbsp;Raul R. Gainetdinov,&nbsp;Marina Karpenko","doi":"10.1002/dneu.70023","DOIUrl":"10.1002/dneu.70023","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <p>The dopamine (DA) hypothesis of attention deficit hyperactivity disorder (ADHD) is the most experimentally supported; however, up until recently, it was primarily based on neuropharmacological studies showing that monoamine-activating drugs effectively treat this disorder's symptoms. It is therefore essential to determine the specific mechanisms involved in the association between DA system dysfunction and ADHD.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <p>This study examined how the absence of the dopamine transporter (DAT) influences neurobehavioral maturation in neonatal rats.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <p>Rat pups of three genotypes—DAT-KO (knockout), DAT-HET (heterozygous), and DAT-WT (wild type) rats—underwent a battery of neurobehavioral tests, including surface righting reflex, negative geotaxis, cliff avoidance, eye opening, auditory startle response, olfactory discrimination, air righting reflex, and Morris Water Maze.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <p>Knockout of the <i>Dat</i> gene significantly delayed the acquisition of surface righting, negative geotaxis, cliff avoidance, and air righting reflexes compared with WT controls, whereas the timing of eye opening, auditory startle response, and olfactory discrimination was unaffected.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <p>Our study provides the first evidence that <i>Dat</i> knockout alters neurobehavioral development in 0–5-week-old rat pups. These findings highlight the importance of investigating the effects of genetic manipulation of DA system on behavioral development and strengthen the validity of the DAT-KO model for studying ADHD.</p>\u0000 </section>\u0000 </div>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147472936","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":"Blood Serum From Obese Women Raises ROS Production by Neural Stem Cells","authors":"Phelipe Elias da Silva,&nbsp;Natássia Caroline Resende Corrêa,&nbsp;Natália Ferreira Silva,&nbsp;Carlos Ueira-Vieira,&nbsp;Hebreia Oliveira Almeida-Souza,&nbsp;Mario Machado Martins,&nbsp;Tiara da Costa Silva,&nbsp;Renata Graciele Zanon","doi":"10.1002/dneu.70021","DOIUrl":"10.1002/dneu.70021","url":null,"abstract":"<p>Maternal obesity has been associated with adverse pregnancy outcomes and altered fetal development, but the direct influence of circulating maternal factors on early human neural cells remains poorly understood. Neural stem cells (NSCs) provide a controlled system to examine how metabolic and inflammatory changes may affect early neurodevelopment. We differentiated human embryonic stem cells into NSCs and exposed them to 10% serum from non-obese or obese women. Cell viability, oxidative stress, metabolic activity, proliferation, and neural marker expression were evaluated. Metabolomic profiling confirmed distinct serum signatures between donor groups, particularly involving lipid and redox-related metabolites. Exposure to human serum, independent of donor phenotype, reduced viability, decreased Ki-67 and PAX6 expression, increased Caspase-3 and p53 labeling, and altered progenitor markers, indicating activation of stress pathways. Although overall responses to non-obese and obese serum were similar, NSCs exposed to obese serum showed a sustained increase in ROS and a transient elevation in resazurin reduction at later time points. These differences were modest but statistically significant and may reflect altered metabolic and redox handling. Together, the findings show that serum exposure imposes considerable stress on NSCs in vitro and that obesity-related factors may subtly amplify oxidative responses. The study also underscores the limitations of this artificial model and highlights the need for systems that more closely approximate physiological conditions during neurodevelopment.</p>","PeriodicalId":11300,"journal":{"name":"Developmental Neurobiology","volume":"86 2","pages":""},"PeriodicalIF":2.3,"publicationDate":"2026-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12996446/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147472875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}