Journal of Neuroscience Methods最新文献

{"title":"Brain MRIs classification based on 2D SWD-MF-DFA","authors":"Jing Wang ,&nbsp;Xinpei Wu ,&nbsp;Haozhe Wang ,&nbsp;Jian Wang","doi":"10.1016/j.jneumeth.2025.110468","DOIUrl":"10.1016/j.jneumeth.2025.110468","url":null,"abstract":"<div><h3>Background:</h3><div>To improve imaging classification accuracy, we modify the traditional 2D multifractal trend fluctuation analysis (MF-DFA) method to better preserve local feature values. Inspired by MF-DFA, we develop a novel method for extracting eigenvalues, enhancing the precision of imaging analysis.</div></div><div><h3>New method:</h3><div>In this paper, we propose an enhanced algorithm building upon the traditional 2D MF-DFA. Our approach introduces a 2D sliding window (SWD) technique for feature value extraction. Initially, the local generalized Hurst index of the imaging is derived using the SWD algorithm, based on MF-DFA principles. Subsequently, the generalized Hurst index is recalculated for the digital matrix formed by these local Hurst indexes. These vectors are then input into a support vector machine (SVM) for classification. This methodology seeks to refine the traditional 2D MF-DFA by more effectively preserving local feature values in imaging.</div></div><div><h3>Results:</h3><div>The classification accuracy of the SWD eigenvalue extraction method based on 2D MF-DFA reaches 91.54%.</div></div><div><h3>Comparison with existing methods:</h3><div>We employ brain magnetic resonance imaging (MRI) data sets to evaluate the efficacy of both the conventional 2D MF-DFA method and our proposed feature value extraction technique. Both methods are applied alongside a SVM for classification. The findings reveal that the conventional 2D MF-DFA method yields a classification accuracy of 59.40%, while our SWD feature value extraction method attains a classification accuracy of 91.54%.</div></div><div><h3>Conclusion:</h3><div>This substantial performance enhancement underscores the superiority of the SWD approach over the conventional method.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"421 ","pages":"Article 110468"},"PeriodicalIF":2.7,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144105808","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":"Quantifying TMS-induced sleep changes: A novel neurophysiological assessment approach","authors":"Xiqian Qi ,&nbsp;Nanhua Zhou ,&nbsp;Daibo Zheng","doi":"10.1016/j.jneumeth.2025.110485","DOIUrl":"10.1016/j.jneumeth.2025.110485","url":null,"abstract":"<div><h3>Background</h3><div>Neuromodulation methods such as transcranial magnetic stimulation (TMS) show promise for the research and manipulation of brain activity during sleep. Nevertheless, when it comes to accurately documenting changes in neurophysiology occurring in real-time, typical sleep evaluation approaches, such as subjective reports and routine polysomnography, fall short. Accurately quantifying changes in sleep architecture and cortical excitability generated by TMS is challenging due to these constraints.</div></div><div><h3>New method</h3><div>A framework for electroencephalogram spectral analysis (EEG-SA) is presented in this paper to tackle these issues. This method compares pre- and post-TMS spectral power fluctuations in the important frequency bands delta, theta, alpha, beta, and gamma. EEG-SA provides a comprehensive evaluation of neurophysiology to identify changes in spectral properties and dynamic shifts in cortical excitability caused by TMS.</div></div><div><h3>Results</h3><div>Research shows that EEG-SA can detect changes in sleep architecture caused by TMS. In particular, improvements in slow-wave activity and cortical synchronization are analyzed, two factors crucial to better sleep quality. These findings highlight the promise of EEG-SA for improving methods of sleep regulation.</div></div><div><h3>Comparison with existing methods</h3><div>A precise, real-time measurement of neurophysiological changes is provided by EEG-SA, in contrast to conventional evaluation approaches that depend on subjective sleep reports and routine polysomnography. This paradigm analyzes TMS-induced sleep changes better than previous methods by providing a more objective and thorough evaluation.</div></div><div><h3>Conclusion</h3><div>TMS-induced sleep alterations may be reliably quantified using EEG-SA, opening the door to individualized therapy for sleep disorders. Insomnia, hypersomnia, and other sleep disorders might benefit from treatment tactics that optimize TMS settings according to individual neurophysiological responses. One way to improve the efficacy of sleep modulation treatments is to include EEG-SA in clinical settings.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"421 ","pages":"Article 110485"},"PeriodicalIF":2.7,"publicationDate":"2025-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099152","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":"Evaluating safe infrared neural stimulation parameters: Calcium dynamics and excitotoxicity thresholds in dorsal root ganglia neurons","authors":"Parinaz Abdollahian ,&nbsp;Kunyang Sui ,&nbsp;Guanghui Li ,&nbsp;Rune W. Berg ,&nbsp;Marcello Meneghetti ,&nbsp;Christos Markos","doi":"10.1016/j.jneumeth.2025.110484","DOIUrl":"10.1016/j.jneumeth.2025.110484","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;As a promising neural stimulation technique, infrared neural stimulation (INS) has recently gained significant attention due to its ability to stimulate neuronal activities without needing exogenous agents. NIR light is absorbed by water of the tissue producing local thermal effects. Therefore, INS is a suitable candidate for localized and targeted neural stimulation. However, despite the wide variety of research studies on INS applications, limited studies have focused on identifying and optimizing the stimulation parameters to avoid potential excitotoxicity. This study evaluates the dorsal root ganglia (DRG) neurons' response under INS with varying intensities and illumination time.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;New method&lt;/h3&gt;&lt;div&gt;Here, DRG neurons are cultured and labeled by the CamkII-GCaMP6s virus. The neurons were exposed to infrared laser pulses (2.01 µm wavelength, different powers of 2.5 mW, 5 mW, 7.5 mW, and 10 mW) for durations of 300 s and 400 s. The light was delivered through a silica optical fiber aligned and stabilized within a free-space optical setup. Simultaneous with INS, neuronal activity was evaluated by calcium imaging through a fluorescence microscope. This method allowed real-time monitoring of neuronal calcium dynamics under different stimulation conditions, preparing an overview of the safe thresholds for INS.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;It was found that calcium saturation has happened for the neurons in exposure to light intensities (7.5 mW and 10 mW) for 300 s, representing potential excitotoxicity. In contrast, with the same exposure time, lower light intensities (2.5 mW and 5 mW) did not show significant signs of calcium saturation or neuronal damage. Moreover, in some neuronal networks, the peripheral neurons of the illuminated area revealed indirect activation, indicating inter-neuronal communication effects.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Comparison with existing methods&lt;/h3&gt;&lt;div&gt;Compared to previous studies that have explored the use of INS on DRG neurons, our work introduces a systematic approach to evaluate the light intensity-dependent INS, while addressing the critical issue of potential thermal injury. While earlier research has demonstrated the ability of INS to modulate neuronal activity and reduce electrical artifacts in electrophysiological recordings, concerns regarding excitotoxicity and neuronal damage remain insufficiently investigated. We examined a range of laser intensities (2.5 mW to 10 mW) to determine the safe exposure thresholds and optimize the photothermal impact. Furthermore, by utilizing CamKII-GCaMP6s virus-modified neurons, we enhance sensitivity in detecting calcium influx, providing a more precise evaluation of neuronal responses to INS. Therefore, here, we provide the knowledge for safe INS.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusions&lt;/h3&gt;&lt;div&gt;This work identifies the required laser stimulation parameters, particularly intensity and illumination time of the tissue for efficien","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"421 ","pages":"Article 110484"},"PeriodicalIF":2.7,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094016","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":"Aseptic, semi-sealed cranial chamber implants for chronic multi-channel neurochemical and electrophysiological neural recording in nonhuman primates","authors":"Jiwon Choi ,&nbsp;Usamma Amjad ,&nbsp;Raymond Murray ,&nbsp;Ritesh Shrivastav ,&nbsp;Tobias Teichert ,&nbsp;Baldwin Goodell ,&nbsp;Matthew Olson ,&nbsp;David J. Schaeffer ,&nbsp;Julia K. Oluoch ,&nbsp;Helen N. Schwerdt","doi":"10.1016/j.jneumeth.2025.110467","DOIUrl":"10.1016/j.jneumeth.2025.110467","url":null,"abstract":"<div><h3>Background</h3><div>Invasive electrophysiological recordings in subcortical structures of nonhuman primates typically involve implanting electrodes into the brain through a skull-mounted chamber. These electrodes may be attached to the chamber temporarily for hours of neural recording, or permanently for long-term studies. Current challenges involve maintaining asepsis and integrating dual-modality monitoring of both electrical and chemical neural activity.</div></div><div><h3>New method</h3><div>We developed an implantable neural interface that provides such dual-modality monitoring in monkeys, while maintaining aseptic conditions for year-long periods. We leveraged osseointegrating materials and hermetic sealing strategies to prevent the transmission of pathogenic species, while preserving the modular functionality of chamber systems, such as sensor depth adjustability. The system also features an aspirating port for culturing chamber fluid to ensure continued asepsis.</div></div><div><h3>Results</h3><div>Our chamber system was shown to provide successful recordings of dopamine and electrical neural activity in two monkeys while maintaining negative bacteria culture results for over a year post-implantation.</div></div><div><h3>Comparison with existing methods</h3><div>Sealed chamber systems prevent contamination and reduce the risk of compromising animal health by minimizing the accumulation of pathogenic organisms. Such sealed chambers also eliminate the need for frequent cleaning. However, neurochemical measurements require specialized electrodes with fragile carbon fiber tips and are not compatible with recently developed, sealed chamber systems.</div></div><div><h3>Conclusion</h3><div>This advanced chamber design builds upon traditional chamber protocols to enable chronic measurements of chemical and electrical neural activity. This approach facilitates novel ways to study the brain in behaving primates while prioritizing the long-term health and welfare of the animals.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"420 ","pages":"Article 110467"},"PeriodicalIF":2.7,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143943190","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":"Advances in endovascular brain computer interface: Systematic review and future implications","authors":"Julien Ognard ,&nbsp;Gerard El Hajj ,&nbsp;Onam Verma ,&nbsp;Sherief Ghozy ,&nbsp;Ramanathan Kadirvel ,&nbsp;David F. Kallmes ,&nbsp;Waleed Brinjikji","doi":"10.1016/j.jneumeth.2025.110471","DOIUrl":"10.1016/j.jneumeth.2025.110471","url":null,"abstract":"<div><h3>Background</h3><div>Brain-computer interfaces (BCIs) translate neural activity into real-world commands. While traditional invasive BCIs necessitate craniotomy, endovascular BCIs offer a minimally invasive alternative using the venous system for electrode placement.</div></div><div><h3>New method</h3><div>This systematic review evaluates the technical feasibility, safety, and clinical outcomes of endovascular BCIs, discussing their future implications. A systematic review was conducted per PRISMA guidelines. The search spanned PubMed, Web of Science, and Scopus databases using keywords related to neural interfaces and endovascular approaches. Studies were included if they reported on endovascular BCIs in preclinical or clinical settings. Dual independent screening and extraction focused on electrode material, recording capabilities, safety parameters, and clinical efficacy.</div></div><div><h3>Results</h3><div>From 1385 initial publications, 26 met the inclusion criteria. Seventeen studies investigated the Stentrode device. Among the 24 preclinical studies, 16 used ovine or rodent models, and 9 addressed engineering or simulation aspects. Two clinical studies reported six ALS patients successfully using an endovascular BCI for digital communication. Preclinical data established the endovascular ovine model, demonstrating stable neural recordings and vascular changes with long-term implantation. Key challenges include thrombosis risk, long-term electrode stability, and anatomical variability.</div></div><div><h3>Comparison with existing methods</h3><div>Endovascular BCI reduced invasiveness, improved safety profiles, with comparable neural recording fidelity to invasive methods, and promising preliminary clinical outcomes in severely paralyzed patients.</div></div><div><h3>Conclusions</h3><div>Early results are promising, but clinical data remain scarce. Further research is needed to optimize signal processing, enhance electrode biocompatibility, and refine endovascular procedures for broader clinical applications.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"420 ","pages":"Article 110471"},"PeriodicalIF":2.7,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935643","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":"Spike detection of human sympathetic nerve activity using wavelet transformation and Valsalva maneuver denoising","authors":"Surat Kulapatana ,&nbsp;Stefano Rigo ,&nbsp;Vasile Urechie ,&nbsp;Robert J. Brychta ,&nbsp;Raffaello Furlan ,&nbsp;Italo Biaggioni ,&nbsp;André Diedrich","doi":"10.1016/j.jneumeth.2025.110482","DOIUrl":"10.1016/j.jneumeth.2025.110482","url":null,"abstract":"<div><h3>Background</h3><div>Sympathetic function is directly assessed by microneurography measuring muscle sympathetic nerve activity (MSNA). The recordings are typically corrupted with noise and require denoising. We aim to estimate microneurographic noise individually from physiologically suppressed MSNA during Valsalva phase 4 (VM4).</div></div><div><h3>New method</h3><div>We developed MSNA adaptive processing (MAP). MSNA recordings during Valsalva were transformed by stationary wavelet transformation. Level-specific noise thresholds were computed from 4 SD of detail coefficients from VM4 and were implemented for denoising. The denoised signals were inverse transformed, then the MSNA spikes were detected.</div><div>We compared detection performance of the MAP with the current two-stage kurtosis method in simulated MSNA signals, and recordings from 17 healthy and 19 postural orthostatic tachycardia syndrome (POTS) female subjects performing Valsalva.</div></div><div><h3>Results</h3><div>The MAP had higher correct detections of MSNA spikes than the kurtosis method in simulated signals wit high burst rate (50 burst/min) and low signal-to-noise ratio (SNR =2) (MAP vs kurtosis; 23.81 ± 15.49 % vs 16.98 ± 12.75 %, p &lt; 0.001). The improvement was confirmed by shorter error distance of the precision-recall plot (0.535 ± 0.175 vs 0.542 ± 0.177, p = 0.011).</div><div>The MAP detected higher spike rate during VM phase 2 in healthy (24.11 ± 9.85 vs 19.57 ± 8.60 spike/s, p = 0.049), but non-significant in POTS (24.19 ± 13.70 vs 20.30 ± 11.85 spike/s, p = 0.101).</div></div><div><h3>Comparison with existing methods</h3><div>The detection performance of the MAP is superior to the current two-stage kurtosis method.</div></div><div><h3>Conclusions</h3><div>The proposed MAP method individually estimating noise from VM4 could improve MSNA spike detection, compared with the kurtosis method. The advantages are most prominent in high burst rate and low SNR MSNA recordings.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"420 ","pages":"Article 110482"},"PeriodicalIF":2.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935644","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 subject transfer neural network fuses Generator and Euclidean alignment for EEG-based motor imagery classification","authors":"Chengqiang Xie,&nbsp;Li Wang,&nbsp;Jiafeng Yang,&nbsp;Jiaying Guo","doi":"10.1016/j.jneumeth.2025.110483","DOIUrl":"10.1016/j.jneumeth.2025.110483","url":null,"abstract":"<div><h3>Background</h3><div>Brain-computer interface (BCI) facilitates the connection between human brain and computer, enabling individuals to control external devices indirectly through cognitive processes. Although it has great development prospects, the significant difference in EEG signals among individuals hinders users from further utilizing the BCI system.</div></div><div><h3>New method</h3><div>Addressing this difference and improving BCI classification accuracy remain key challenges. In this paper, we propose a transfer learning model based on deep learning to transfer the data distribution from the source domain to the target domain, named a subject transfer neural network combining the Generator with Euclidean alignment (ST-GENN). It consists of three parts: 1) Align the original EEG signals in the Euclidean space; 2) Send the aligned data to the Generator to obtain the transferred features; 3) Utilize the Convolution-attention-temporal (CAT) classifier to classify the transferred features.</div></div><div><h3>Results</h3><div>The model is validated on BCI competition IV 2a, BCI competition IV 2b and SHU datasets to evaluate its classification performance, and the results are 82.85 %, 86.28 % and 67.2 % for the three datasets, respectively.</div></div><div><h3>Comparison with existing methods</h3><div>The results have been shown to be robust to subject variability, with the average accuracy of the proposed method outperforming baseline algorithms by ranging from 2.03 % to 15.43 % on the 2a dataset, from 0.86 % to 10.16 % on the 2b dataset and from 3.3 % to 17.9 % on the SHU dataset.</div></div><div><h3>Conclusions for research articles</h3><div>The advantage of our model lies in its ability to effectively transfer the experience and knowledge of the source domain data to the target domain, thus bridging the gap between them. Our method can improve the practicability of MI-BCI systems.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"420 ","pages":"Article 110483"},"PeriodicalIF":2.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143935642","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":"Application of non-invasive brain stimulation combined with functional magnetic resonance imaging in post-stroke motor function rehabilitation","authors":"Xiaoli Zou ,&nbsp;Jiaju Zhu ,&nbsp;Song Hu ,&nbsp;Zhen Hou ,&nbsp;Guodong Ma","doi":"10.1016/j.jneumeth.2025.110470","DOIUrl":"10.1016/j.jneumeth.2025.110470","url":null,"abstract":"<div><h3>Background</h3><div>Repetitive Transcranial Magnetic Stimulation (rTMS) is a promising non-invasive brain stimulation (NIBS) system for post-stroke motor rehabilitation. However, its underlying mechanisms are still not well understood.</div></div><div><h3>New method</h3><div>In this research, 170 post-stroke patients with motor impairments were randomly divided into an rTMS intervention group (n = 85) and a control group (n = 85). Along with routine motor rehabilitation exercises, the rTMS group received 30 minutes of 5 Hz rTMS over the left Dorsolateral Prefrontal Cortex (DPC) three times a week for 30 days. Sham rTMS treatment can be allocated to the control group. Resting-state functional magnetic resonance imaging (rs-fMRI) was used to evaluate brain activity and functional connectivity (FC) in motor-related areas.</div></div><div><h3>Results</h3><div>Both the intervention and control groups showed significant motor function improvements, but the rTMS group had more substantial gains. In the intervention group, FCA values in motor regions such as the primary motor cortex (PMC) and Precentral Gyrus (PCG) improved. There was also an increase in FC between the DPC and motor areas.</div></div><div><h3>Comparison with existing methods</h3><div>Unlike some previous studies that may have focused only on motor function improvement without in-depth exploration of brain activity and connectivity changes, this study used rs-fMRI to comprehensively analyze the cerebral functional alterations induced by rTMS, providing a more detailed understanding of the underlying mechanisms of rTMS in post-stroke rehabilitation.</div></div><div><h3>Conclusions</h3><div>The findings suggest that rTMS promotes motor recovery in post-stroke patients by modulating brain activity and connectivity within motor networks.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"421 ","pages":"Article 110470"},"PeriodicalIF":2.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144024722","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":"Serendipitous discovery of intrathecal catheterization via the lumbosacral plexus in rats: A preliminary study","authors":"Atsushi Saiga ,&nbsp;Takeshi Suzuki ,&nbsp;Yadong Shi ,&nbsp;Kenkichi Michimoto ,&nbsp;Kentaro Yamada ,&nbsp;Todd Graham ,&nbsp;Khashayar Farsad","doi":"10.1016/j.jneumeth.2025.110472","DOIUrl":"10.1016/j.jneumeth.2025.110472","url":null,"abstract":"<div><h3>Background</h3><div>Intrathecal catheterization is essential for experimental studies, including drug delivery, stem cell therapy, and gene therapy, but it can sometimes be quite costly. Since traditional techniques, such as acute needle puncture and catheterization with or without laminectomy have shown varying success rates and procedural challenges, there is room for improvement.</div></div><div><h3>New method</h3><div>This study presents an alternative approach to intrathecal catheterization via the lumbosacral plexus, which was serendipitously discovered during an attempt to cannulate the lymphatic system in male Lewis rats using a 0.010-inch microguidewire and a 1.3-F microcatheter with an over-the-wire technique under fluoroscopic guidance.</div></div><div><h3>Results</h3><div>Intrathecal catheterization via the left L3 spinal nerve was achieved in 14 out of 17 rats (82 %). In one case, only the microguidewire was inserted, and in two cases, spinal nerve cannulation was unsuccessful. The median catheterization duration was 20 minutes. Accidental intrathecal placement was confirmed by postmortem micro-CT with iodinated contrast and dissection following isosulfan blue staining. No cerebrospinal fluid leakage was observed fluoroscopically during the procedure.</div></div><div><h3>Comparison with existing methods</h3><div>This method demonstrated a higher cannulation rate and a procedural time comparable to traditional techniques such as non-laminectomized catheterization. Additionally, it eliminates the risk of cerebrospinal fluid leakage, a common complication in conventional catheterization approaches. However, motor function impairment due to nerve injury and the need for specialized fluoroscopy settings remain limitations.</div></div><div><h3>Conclusions</h3><div>This serendipitous discovery suggests that intrathecal catheterization via the lumbosacral plexus may be a feasible alternative approach in select cases.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110472"},"PeriodicalIF":2.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918041","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":"Gait recognition based on sEMG signal using progressive feature selection method","authors":"Chuanjiang Li ,&nbsp;Xinhao Ding ,&nbsp;Jiajun Tu ,&nbsp;Ang Li ,&nbsp;Yanfei Zhu ,&nbsp;Ya Gu ,&nbsp;Erlei Zhi","doi":"10.1016/j.jneumeth.2025.110469","DOIUrl":"10.1016/j.jneumeth.2025.110469","url":null,"abstract":"<div><h3>Background</h3><div>Gait recognition based on surface electromyography (sEMG) signals has many applications in exoskeleton control. However, due to the irrelevance and redundancy of its features, how to extract features effectively and improve the recognition accuracy is a hotspot of current research.</div></div><div><h3>New method</h3><div>This study proposes a progressive feature selection (PFS) gait recognition method based on sEMG. First, to solve the problem of inaccurate gait description, the stereo modelling projection and 3D dynamic capture are fused to capture the time and frequency domain features derived from the four muscles of the human lower limb according to the gait phase. Then, to address the problem of poor gait classification accuracy, a progressive feature combination optimization is performed based on the fitness evaluation to preserve the key information embedded in the features while eliminating features that contribute less to the model accuracy. Therefore, model accuracy is improved by determining the best combination of features.</div></div><div><h3>Results</h3><div>The progressive feature selection method shows considerable performance in sEMG-based gait recognition, with the average accuracy of 98.54 % and the median accuracy of 98.67 %.</div><div>Comparison with existing methods: In order to verify the effectiveness of the proposed algorithm more comprehensively, the practical experimental dataset and the publicly available SIAT-LLMD dataset are adopted respectively. Compared with the state-of-the-art methods, the gait recognition accuracy of the proposed PFS algorithm can reach 98.91 % and 98.54 %.</div></div><div><h3>Conclusions</h3><div>The proposed PFS gait recognition method can significantly reduce unnecessary features, thus improving the recognition accuracy and safety of lower limb exoskeleton robots.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110469"},"PeriodicalIF":2.7,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918040","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}