Shujun Ge, Wenqi Gan, Keaton Karlinsey, Beiyan Zhou, Joel S Pachter
{"title":"Immuno-laser capture microdissection of perfusion-fixed mouse brain tissue coupled to RNA-seq.","authors":"Shujun Ge, Wenqi Gan, Keaton Karlinsey, Beiyan Zhou, Joel S Pachter","doi":"10.1016/j.jneumeth.2025.110548","DOIUrl":"10.1016/j.jneumeth.2025.110548","url":null,"abstract":"<p><strong>Background: </strong>Laser capture microdissection (LCM), when combined with immunostaining (immuno-LCM) and coupled to RNA profiling, provides a means for in situ transcriptomic interrogation of complex tissues. However, preserving RNA integrity through the multiple harsh steps of immuno-LCM has proved challenging, greatly limiting the potential for high-resolution spatial analysis of global gene expression.</p><p><strong>New method: </strong>Here, we describe a protocol whereby perfusion fixation and subsequent ex vivo post-fixation of mouse brain with paraformaldehyde, followed by protease digestion of immuno-LCM-acquired material from brain sections, allows for isolation of RNA of relatively high integrity that is amenable to RNA-seq with minimal technical variability.</p><p><strong>Results: </strong>The individual steps of the fixation/immuno-LCM protocol were evaluated for their respective effects on RNA integrity and found not to produce significant compromise, as judged by RIN values determined using a Bioanalyzer or Tape Station. Utilizing the fixation/immuno-LCM protocol to assess gene expression from targeted brain microvascular tissue further showed high reproducibility in both qRT-PCR and RNA-seq analysis, as determined by interpolation and Pearson Correlation, respectively, with the latter detecting ∼ 22,000 genes, including those in the established blood-brain barrier transcriptome.</p><p><strong>Comparison with existing methods: </strong>To date, there has been no detailed analysis of how fixation combined with immuno-LCM impacts RNA integrity and transcriptomic analysis.</p><p><strong>Conclusions: </strong>The rigorous analyses performed demonstrate that paraformaldehyde fixation - which covalently cross-links RNA and protein - can be reversed without significant damage to RNA integrity, and can be combined with immuno-LCM to enable high-resolution spatial analysis of global gene expression.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110548"},"PeriodicalIF":2.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12377190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144804295","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}
Juan Carlos Ramirez, Jose Vergara, Jing Lin, Jian Chen, Jeffrey M Yau
{"title":"A novel device for studying temperature and touch interactions.","authors":"Juan Carlos Ramirez, Jose Vergara, Jing Lin, Jian Chen, Jeffrey M Yau","doi":"10.1016/j.jneumeth.2025.110547","DOIUrl":"10.1016/j.jneumeth.2025.110547","url":null,"abstract":"<p><strong>Background: </strong>Existing methods to study the effects of skin temperature on mechanical touch perception range from large hot plates, water baths, or bulky, water-controlled thermal contactors which have limited range and resolution. The limited capabilities of these methods prevent the study of thermo-tactile interactions at the finger level in a flexible and precisely controlled manner.</p><p><strong>New method: </strong>Here, we combine small Proportional-Integral-Derivative (PID)-controlled Peltier elements with a calibrated shaker motor for a novel thermo-tactile stimulus delivery system capable of precisely controlling temperature and vibrotactile stimulation to the fingertip. This novel system enables parallel control of mechanical stimulation and thermal stimulation at congruent skin sites of the fingertip. Alternative thermoelectric elements and mechanical actuators could be used in our systems modular configuration.</p><p><strong>Results: </strong>Our thermo-tactile delivery system can simultaneously deliver precise and stable vibrotactile and thermal stimuli over 30-250 Hz and 20-40°C, respectively, at the fingertip. We validated our system in psychophysical tests and reproduced the established finding that vibration detection thresholds vary according to temperature.</p><p><strong>Comparison with existing method(s): </strong>Unlike our system, existing methods to study thermo-tactile interactions are restricted to testing skin regions larger than the fingertip or they use tactile probes on the fingertips that are not thermally controlled.</p><p><strong>Conclusions: </strong>Our system represents a novel strategy for combining thermoelectric modules with mechanical actuation to study thermo-tactile interactions at mechanoreceptor-rich fingertips.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110547"},"PeriodicalIF":2.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144775588","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}
Bryson Gray, Andrew W Smith, Allan MacKenzie-Graham, David W Shattuck, Daniel J Tward
{"title":"Validation of structure tensor analysis for orientation estimation in brain tissue microscopy.","authors":"Bryson Gray, Andrew W Smith, Allan MacKenzie-Graham, David W Shattuck, Daniel J Tward","doi":"10.1016/j.jneumeth.2025.110539","DOIUrl":"10.1016/j.jneumeth.2025.110539","url":null,"abstract":"<p><strong>Background: </strong>Accurate localization of white matter pathways using diffusion MRI is critical to investigating brain connectivity, but the accuracy of current methods is not thoroughly understood. A fruitful approach to validating accuracy is to consider microscopy data that have been co-registered with MRI of post mortem samples. In this setting, structure tensor analysis is a standard approach to computing local orientations. However, structure tensor analysis itself has not been well-validated and is subject to uncertainty in its angular resolution, and selectivity to specific spatial scales.</p><p><strong>New method: </strong>Here, we conducted a simulation study to investigate the accuracy of using structure tensors to estimate the orientations of fibers arranged in configurations with and without crossings.</p><p><strong>Results: </strong>We examined a range of simulated conditions, with a focus on investigating the method's behavior on images with anisotropic resolution, which is particularly common in microscopy data acquisition. We also analyzed 2D and 3D optical microscopy data.</p><p><strong>Comparison with existing methods: </strong>Our results show that parameter choice in structure tensor analysis has relatively little effect on accuracy for estimating single orientations, although accuracy decreases with increasing resolution anisotropy. On the other hand, when estimating the orientations of crossing fibers, the choice of parameters becomes critical, and poor choices result in orientation estimates that are essentially random.</p><p><strong>Conclusions: </strong>This work provides a set of recommendations for researchers seeking to apply structure tensor analysis effectively in the study of axonal orientations in brain imaging data and quantifies the method's limitations, particularly in the case of anisotropic data.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110539"},"PeriodicalIF":2.3,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144753616","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":"Customizable artificial simulator for developing, planning, and training personnel on neurophysiology and surgical procedures in non-human primates.","authors":"Lydia I Smith, Amy L Orsborn","doi":"10.1016/j.jneumeth.2025.110587","DOIUrl":"https://doi.org/10.1016/j.jneumeth.2025.110587","url":null,"abstract":"<p><strong>Background: </strong>Neuroscience researchers often surgically implant hardware into model organisms to measure and manipulate neural activity. Designing and optimizing these procedures in non-human primates often requires sedated or euthanized animals. Artificial tissue technologies can reduce animal use in this process, but existing simulators do not include all relevant tissues and do not facilitate iterative design processes.</p><p><strong>New method: </strong>We created a comprehensive, customizable, and modular surgical simulator for neuroscience research. Our simulator incorporates artificial skull, brain, and soft tissues (skin and muscle) into one 3-dimensional model with adaptable components.</p><p><strong>Results: </strong>Incorporating 3-dimensional soft tissues enabled surgical and implant design improvements, which may contribute to improving implant longevity, research outcomes, and animal wellbeing. Our modular design allowed researchers to rapidly prototype designs and exchange parts to reflect implant or anatomical changes across a study. Incorporating all relevant tissues also enabled surgical practice and improved communication with veterinarians. Our approach is low-cost (a few hundred dollars) and uses readily available tools like 3D printing. We also provide models of different non-human primate species to increase access to our approach.</p><p><strong>Comparison with existing methods: </strong>Our method improves upon past surgical simulators for neuroscience research by: adapting existing skin and muscle artificial tissue technologies to more accurately represent cranial 3-dimensional geometry, incorporating models of all tissues relevant for implant design, and introducing modular designs that increase flexibility/customization.</p><p><strong>Conclusions: </strong>We found that this surgery simulator was an inexpensive tool that was useful for planning and practicing surgical procedures, as well as prototyping new neuroscience experiment hardware.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110587"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145225548","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}
Jinxin Chen, Mandy M Koop, Kenneth B Baker, Jay L Alberts, James Y Liao
{"title":"Corrigendum to \"Reconstructing time-domain data from discontinuous Percept™ PC and RC output using external data acquisition and linear filtering\" [J. Neurosci. Methods 424 (2025) 110566].","authors":"Jinxin Chen, Mandy M Koop, Kenneth B Baker, Jay L Alberts, James Y Liao","doi":"10.1016/j.jneumeth.2025.110596","DOIUrl":"https://doi.org/10.1016/j.jneumeth.2025.110596","url":null,"abstract":"","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110596"},"PeriodicalIF":2.3,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145212936","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":"On the issue of low-frequency EEG generators and methods of their spatial localization.","authors":"A V Vartanov, E L Masherov","doi":"10.1016/j.jneumeth.2025.110592","DOIUrl":"https://doi.org/10.1016/j.jneumeth.2025.110592","url":null,"abstract":"<p><strong>Background: </strong>The article reviews the theoretical foundations of low-frequency EEG generation and the problems of existing methods and algorithms for localizing low-frequency EEG NEW METHOD: A new method based on spatial filtering for signal recovery from a specific, pre-set point in space (area of interest) is presented. The algorithm uses the dynamics and correlation of signals in EEG leads with the addition of artificially generated data. The method assumes a volume charge (unipole) as a source and a function of linear potential decay from values inverse to the distance from a given point to scalp electrodes.</p><p><strong>Results: </strong>It is shown that the dipole model based on the summation of postsynaptic potentials cannot adequately describe the low-frequency component of the EEG; arguments are given in favor of the unipolar model based on the summation of trace potentials.</p><p><strong>Comparison with existing method: </strong>Based on deep brain stimulation data, the new method was verified and its effectiveness was compared with some existing algorithms (sLORETA, dSPM, etc., included in the Brainstorm package).</p><p><strong>Conclusions: </strong>As a result, it is shown that the new \"Virtually implanted electrode\" method makes it possible to accurately determine the localization of unipolar current sources. At the same time, it is shown that other methods based on the dipole model gave false solutions. In this regard, it is necessary to revise the results of localization of the low-frequency component of the EEG previously obtained using these tools, especially when evaluating functional relationships based on these data.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110592"},"PeriodicalIF":2.3,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145206678","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":"High - Quality Decoding of RGB Images from the Neuronal Signals of the Pigeon Optic Tectum.","authors":"Zhen Dong, Yingjie Xiang, Songwei Wang","doi":"10.1016/j.jneumeth.2025.110595","DOIUrl":"https://doi.org/10.1016/j.jneumeth.2025.110595","url":null,"abstract":"<p><strong>Background: </strong>Decoding neural activity to reverse-engineer sensory inputs advances understanding of neural encoding and boosts brain-computer interface and visual prosthesis tech. A major challenge is high-quality RGB image reconstruction from natural scenes, which this study tackles using pigeon optic tectum neurons.</p><p><strong>New method: </strong>We built a neural response dataset via microelectrode arrays capturing tectal neurons' ON-OFF responses to RGB images. A modular decoding algorithm, integrating a convolutional encoding network, linear decoder, and image enhancement network, enabled inverse RGB image reconstruction from neural signals.</p><p><strong>Results: </strong>Experimental results confirmed high-quality RGB image reconstruction by the proposed algorithm. For all test set reconstructions, average metrics were: correlation coefficient (R) of 0.853, structural similarity index (SSIM) of 0.618, peak signal-to-noise ratio (PSNR) of 19.94dB, and feature similarity index (FSIMc) of 0.801. These results confirm accurate recapitulation of both color and contour details of the original images.</p><p><strong>Comparison with existing methods: </strong>In terms of key quantitative metrics, the proposed algorithm achieves a significant improvement over traditional linear reconstruction methods, with the correlation coefficient (R) increased by 12.65%, the structural similarity index (SSIM) increased by 38.92%, the peak signal-to-noise ratio (PSNR) increased by 12.65%, and the feature similarity index (FSIMc) increased by 9.28%.</p><p><strong>Conclusions: </strong>This research provides a novel technical pathway for high-quality visual neural decoding, with robust experimental metrics validating its effectiveness. It also offers experimental evidence to support investigations into the information processing mechanisms of the avian visual pathway.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110595"},"PeriodicalIF":2.3,"publicationDate":"2025-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145206660","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":"TEDNet: Cascaded CNN-transformer with dual attentions for taste EEG decoding.","authors":"Xueli Wang, Guoce Lv","doi":"10.1016/j.jneumeth.2025.110594","DOIUrl":"10.1016/j.jneumeth.2025.110594","url":null,"abstract":"<p><strong>Background: </strong>Traditional taste evaluation methods suffer from subjective biases and limited sensor capabilities, while existing Electroencephalogram (EEG) approaches struggle to decode complex neural patterns evoked by sour, sweet, bitter, and salty stimuli due to noise sensitivity and inadequate multi-scale feature integration.</p><p><strong>New method: </strong>To address this, we propose Taste EEG Decoding Network (TEDNet), a novel deep learning architecture integrating: 1) a Temporal Spatial Convolution Module (TSCM) capturing electrode-wise dependencies, 2) a Temporal Spatial Attention Module (TSAM) adaptively reweighting critical features, and 3) a Local Global Fusion Module (LGFM) combines the local features of taste EEG with the global ones.</p><p><strong>Results: </strong>Evaluated on a well-controlled dataset containing 2400 EEG samples from 30 subjects, the accuracy of TEDNet is 98.92 %, the F1-score is 98.75 %, and the Kappa coefficient is 98.49 %.</p><p><strong>Comparison with existing methods: </strong>While maintaining computational efficiency, TEDNet has surpassed the existing advanced convolution and self-attention methods.</p><p><strong>Conclusions: </strong>This framework establishes a robust solution for objective taste perception decoding, advancing sensory evaluation in food science.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110594"},"PeriodicalIF":2.3,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145191970","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":"Optogenetic control of peripheral nerves: A novel approach to modulation of detrusor contractility in vivo.","authors":"Akihiro Maeda, Fumiaki Yoshida, Maki Kawasaki, Shohei Tobu, Hiroaki Kakinoki, Hiroki Yasuda, Mitsuru Noguchi","doi":"10.1016/j.jneumeth.2025.110591","DOIUrl":"https://doi.org/10.1016/j.jneumeth.2025.110591","url":null,"abstract":"<p><strong>Background: </strong>The increasing prevalence of lower urinary tract symptoms (LUTS), particularly voiding dysfunction, has become a significant concern in aging societies. Conventional treatments, including pharmacotherapy and sacral neuromodulation, offer limited efficacy or involve invasive procedures. There is a pressing need for novel, precise, and minimally invasive neuromodulation techniques to restore bladder contractility without compromising continence.</p><p><strong>New method: </strong>We developed an in vivo optogenetic approach to modulate bladder detrusor activity by delivering an adeno-associated virus (AAV9-hSyn-SOUL) encoding a light-sensitive ion channel directly into the bladder wall of Sprague-Dawley rats. Four weeks post-injection, cystometry was conducted to evaluate bladder responses to blue light (473nm) stimulation. Histological analysis confirmed transgene expression in peripheral nerves.</p><p><strong>Results: </strong>Optical stimulation significantly increased intravesical pressure in all vector-injected rats, as confirmed by cystometric analysis. Urinary interval and voided volume showed no significant change following stimulation. Immunofluorescence staining revealed co-localization of SOUL expression with the peripheral nerve marker peripherin in the bladder wall.</p><p><strong>Comparison with existing methods: </strong>Compared to electrical stimulation and pharmacologic agents, this optogenetic approach provided targeted and reversible control of bladder contractions without requiring transgenic animal models or systemic exposure. It offers a less invasive alternative to sacral neuromodulation with improved specificity.</p><p><strong>Conclusions: </strong>This study demonstrates that optogenetic stimulation of the peripheral bladder nerves using AAV-mediated SOUL expression effectively enhances detrusor contractility while preserving voiding function. These findings support the feasibility of a light-controlled, minimally invasive neuromodulation strategy for the treatment of voiding dysfunction.</p>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":" ","pages":"110591"},"PeriodicalIF":2.3,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145186186","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}
Sena Oten , Sanjeev Herr , Vardhaan Ambati , Youssef Sibih , Katie Lu , Jasleen Kaur , Shawn L. Hervey-Jumper , David Brang
{"title":"BrainTRACE (Brain Tumor Registration and Cortical Electrocorticography): A novel tool for localizing electrocorticography electrodes in patients with brain tumors","authors":"Sena Oten , Sanjeev Herr , Vardhaan Ambati , Youssef Sibih , Katie Lu , Jasleen Kaur , Shawn L. Hervey-Jumper , David Brang","doi":"10.1016/j.jneumeth.2025.110588","DOIUrl":"10.1016/j.jneumeth.2025.110588","url":null,"abstract":"<div><h3>Background</h3><div>Intraoperative electrocorticography (ECoG) plays a critical role in clinical care and neuroscience research, enabling precise mapping of human cortex. However, localizing subdural electrodes in patients with brain tumors presents unique challenges due to altered neuroanatomy and the impracticality of acquiring extraoperative imaging.</div></div><div><h3>New method</h3><div>To address these gaps, we developed BrainTRACE, a novel MATLAB tool that combines MRI, cortical vascular reconstructions, and intraoperative photography for accurate subdural electrode grid placement. Preoperative MRI, cortical photography, and subdural electrode array data were recorded from patients with diffuse glioma and brain metastasis. BrainTRACE generated 3D cortical surfaces, integrated vascular reconstructions, and enabled precise placement of electrode grids. Each electrode was placed based on cortical anatomy and vascular landmarks informed by intraoperative photographs.</div></div><div><h3>Results</h3><div>Expert users achieved high consistency and accuracy, with an intraclass correlation coefficient (ICC) of 0.934 and a mean deviation of 4.3 mm from consensus placements. Novice users demonstrated lower reliability and greater variability, highlighting the non-trivial nature of intraoperative ECoG localization, which requires neuroanatomical expertise.</div></div><div><h3>Comparison with existing methods</h3><div>To our knowledge, BrainTRACE is the first freely available tool that enables photograph-guided ECoG localization using cortical surface reconstructions and vascular anatomy without relying on post-operative imaging.</div></div><div><h3>Conclusions</h3><div>BrainTRACE enables accurate localization of intraoperative ECoG electrodes in brain tumor patients. By integrating anatomical images, intraoperative photographs, and vascular mapping, the tool addresses challenges posed by tumor-induced artifacts. BrainTRACE provides a freely available practical tool for neurosurgical and neuroscience applications, including brain malignancy, epilepsy, and deep brain stimulation.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"424 ","pages":"Article 110588"},"PeriodicalIF":2.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155538","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}