Journal of Neuroscience Methods最新文献

{"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}

{"title":"Labeling phrenic afferents with intrapleural AAV-PHP.S","authors":"Amanda C. Morales ,&nbsp;Taylor C. Holmes ,&nbsp;Felix T. Sanchez ,&nbsp;Haozhi Huang ,&nbsp;Jordan J. Williams ,&nbsp;Kristi A. Streeter","doi":"10.1016/j.jneumeth.2025.110466","DOIUrl":"10.1016/j.jneumeth.2025.110466","url":null,"abstract":"<div><h3>Background</h3><div>Understanding the role of musculoskeletal afferents in health and disease relies on the ability to selectively label afferents. Traditional approaches involve using adeno-associated viral (AAV) tools to transduce afferents with intrathecal, intramuscular, or direct dorsal root ganglion (DRG) injections. However, these approaches are surgically invasive, have non-specific labeling, or do not target functional groups of afferents. For example, labeling phrenic afferents arising from the diaphragm muscle is challenging due to the presence of musculoskeletal and cutaneous afferents from the forelimb, neck, and shoulder in the C3-C5 DRGs.</div></div><div><h3>New method</h3><div>Using a new capsid variant of AAV9 with enhanced tropism toward afferents (AAV-PHP.S), we investigated if intrapleural injection of AAV-PHP.S transduces phrenic afferents in the cervical DRGs and spinal cord.</div></div><div><h3>Results</h3><div>In animals receiving AAV-PHP.S, we observed robust tdTomato labeling in the DRGs, dorsal roots, dorsal columns, and spinal projections throughout the spinal gray matter. We did not see the same pattern of afferent labeling when we transected the phrenic nerve prior to intrapleural injection, nor did we find any evidence for motor neuron labeling. Classification of labeled afferents suggests preferential labeling of large diameter proprioceptive neurons. Time-course experiments show tdTomato expression in DRG neurons plateaued by 2 weeks.</div></div><div><h3>Comparison with existing methods</h3><div>To our knowledge this is the first AAV-based method that preferentially targets phrenic afferents without also labeling phrenic motor neurons.</div></div><div><h3>Conclusions</h3><div>This approach labels phrenic afferents and may be used in combination with optogenetic or chemogenetic tools to advance our understanding of the functional role of phrenic afferents.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110466"},"PeriodicalIF":2.7,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918053","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":"Juggler’s ASR: Unpacking the principles of artifact subspace reconstruction for revision toward extreme MoBI","authors":"Hyeonseok Kim ,&nbsp;Chi-Yuan Chang ,&nbsp;Christian Kothe ,&nbsp;John Rehner Iversen ,&nbsp;Makoto Miyakoshi","doi":"10.1016/j.jneumeth.2025.110465","DOIUrl":"10.1016/j.jneumeth.2025.110465","url":null,"abstract":"<div><h3>Background</h3><div>To improve the Artifact Subspace Reconstruction (ASR) algorithm's performance for real-world EEG data by addressing the problem of low-quality or no calibration data identification in the original ASR (ASR_original) algorithm.</div></div><div><h3>New method</h3><div>We proposed a new method for defining high-quality calibration data using point-by-point amplitude evaluation to eliminate collateral rejection of clean data, which is identified as the major cause of the problem with ASR_original. We compared non-parametric and parametric approaches, namely Density-Based Spatial Clustering of Applications with Noise (DBSCAN) and the Generalized Extreme Value (GEV) distribution (ASR_DBSCAN and ASR_GEV, respectively).</div></div><div><h3>Results (Comparison with existing methods)</h3><div>We demonstrated the effectiveness of these approaches on simulated and real EEG data. Simulation results showed that ASR_DBSCAN and ASR_GEV removed simulated artifacts completely where ASR_original failed, both in time- and frequency-domain evaluations. In empirical data from 205-channel EEG recordings during a three-ball juggling task (n = 13), ASR_DBSCAN found 42 % and ASR_GEV found 24 % of data usable for calibration on average, compared to only 9 % by ASR_original. Subsequent Independent Component Analysis (ICA) showed that data preprocessed with ASR_DBSCAN and ASR_GEV produced brain ICs that accounted for more variance of the original data (30 % and 29 %) compared to ASR_original (26 %).</div></div><div><h3>Conclusions</h3><div>The proposed ASR_DBSCAN and ASR_GEV methods handle motion-related artifacts better than the original ASR algorithm, enabling researchers to better extract brain activity during real-world motor tasks. These methods provide a practical advantage in processing EEG data from experiments involving high-intensity motor activities, advancing biomedical research capabilities.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"420 ","pages":"Article 110465"},"PeriodicalIF":2.7,"publicationDate":"2025-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143936118","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":"Transcranial magnetic stimulation-based neuroplasticity in the treatment of amblyopia","authors":"Yilong Lin ,&nbsp;Kaifang Cai","doi":"10.1016/j.jneumeth.2025.110464","DOIUrl":"10.1016/j.jneumeth.2025.110464","url":null,"abstract":"<div><h3>Background</h3><div>In recent years, repetitive transcranial magnetic stimulation (rTMS) has shown positive clinical effects in improving neuroplasticity by modulating cortical neural activity, particularly the functional connectivity of visual-related brain regions. This research was aimed to investigate the effects of rTMS on visual function in adult amblyopia and to assess changes in brain neuronal activity before and following remedy using resting-state functional magnetic resonance imaging (rs-fMRI).</div></div><div><h3>New Method</h3><div>A total of 148 patients with anisometropic amblyopia were enrolled and randomly divided into: intraocular lens (ICL) group and ICL+rTMS group, with 74 cases in each group. All patients received detailed perioperative care. Best-corrected visual acuity (BCVA) and random dot stereopsis were assessed using the Vision Perception Test System before treatment and 3 months following remedy, and brain functional status was evaluated using rs-fMRI.</div></div><div><h3>Results</h3><div>As against pre-treatment levels, both ICL group and ICL+rTMS group suggested visible improvements in BCVA and random dot stereopsis 3 months following remedy, with ICL+rTMS group exhibiting better outcomes than ICL group (P &lt; 0.05). The rs-fMRI revealed distinct patterns of neural plasticity: ICL group exhibited an increase in the ALFF of the ipsilateral frontal lobe, while ICL+rTMS group showed a decrease in the ALFF of the same-side cerebellum (P &lt; 0.05). Compared to ICL alone, the combination of rTMS and ICL significantly reduced the ReHo in the ipsilateral frontal lobe and superior frontal gyrus, decreased the fALFF in the contralateral temporal lobe, and increased the fALFF in the contralateral occipital lobe (P &lt; 0.05).</div></div><div><h3>Comparison with Existing Methods</h3><div>The application of rTMS to directly regulate neural plasticity provides a non-invasive and precise treatment method. Compared with traditional therapies, rTMS can more effectively promote the reorganization of visual cortex function in amblyopia patients, improve treatment efficacy, and have fewer side effects, thus having high clinical application potential.</div></div><div><h3>Conclusion</h3><div>rTMS can effectively improve visual function in adult amblyopia patients by modulating neuronal activity and enhancing visual cortical neuroplasticity to correct the interocular excitation differences and exert therapeutic effects.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110464"},"PeriodicalIF":2.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143892137","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":"TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features","authors":"Sagnik De,&nbsp;Prithwijit Mukherjee,&nbsp;Anisha Halder Roy","doi":"10.1016/j.jneumeth.2025.110463","DOIUrl":"10.1016/j.jneumeth.2025.110463","url":null,"abstract":"<div><h3>Background:</h3><div>Taste perception is the process by which the gustatory system detects and interprets chemical stimuli from food and beverages, involving activation of taste receptors on the tongue. Analyzing taste perception is essential for understanding human sensory responses and diagnosing taste-related disorders.</div></div><div><h3>New Method:</h3><div>This research focuses on developing a deep learning framework to effectively recognize basic taste stimuli from EEG signals. Initially, the recorded EEG signals undergo preprocessing to remove noise and artifacts. The CEEMDAN (complete ensemble empirical mode decomposition with adaptive noise) method is then applied to decompose the EEG signals into various frequency rhythms, referred to as intrinsic mode functions (IMFs). From the chosen IMFs, six distinct entropy features — sample, bubble, approximate, dispersion, slope, and permutation entropy — are extracted for further analysis. A novel deep learning model, TasteNet, is then developed, integrating a convolutional neural network (CNN) module, a multi-head attention module, and the Att-BiPLSTM (Attention-Bidirectional Potent Long Short-Term Memory) network.</div></div><div><h3>Results:</h3><div>The proposed architecture classifies the input data into six categories: no taste, sweet, sour, bitter, umami, and salty, achieving a remarkable accuracy of 97.52 ± 0.48%.</div></div><div><h3>Comparison with existing methods:</h3><div>TasteNet outperforms existing taste perception classification methods, as demonstrated through extensive experiments.</div></div><div><h3>Conclusion:</h3><div>This study presents TasteNet, a robust framework for precise taste perception recognition using EEG signals. Using CEEMDAN for effective signal decomposition and extracting key entropy features, the model captures intricate patterns in taste stimuli. The incorporation of multi-head attention module and the Att-BiPLSTM network further enhances the model’s ability to identify various taste sensations accurately.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110463"},"PeriodicalIF":2.7,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895426","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":"EEG-based neurophysiological indicators in pronoun resolution using feature analysis","authors":"Yingyi Qiu ,&nbsp;Wenlong Wu ,&nbsp;Yinuo Shi ,&nbsp;Hongjuan Wei ,&nbsp;Hanqing Wang ,&nbsp;Ziao Tian ,&nbsp;Mengyuan Zhao","doi":"10.1016/j.jneumeth.2025.110462","DOIUrl":"10.1016/j.jneumeth.2025.110462","url":null,"abstract":"<div><h3>Background</h3><div>Pronoun resolution is a crucial aspect of language comprehension, yet its underlying neural mechanisms remain poorly understood. While previous studies have explored individual linguistic factors, a systematic analysis of Electroencephalography (EEG)-based neurophysiological indicators across different resolution cues (gender, verb bias, and discourse focus) remains unexplored, limiting our understanding of neural-cognitive processes.</div></div><div><h3>New method</h3><div>We developed an approach combining ReliefF feature selection and Linear Discriminant Analysis (LDA) to analyze EEG data from twenty participants during pronoun resolution tasks. The method examined neural indicators focusing on power spectral density (PSD) and time-domain features, including Zero-Crossing Rate and Peak-to-Peak amplitude.</div></div><div><h3>Results</h3><div>We identified crucial neural indicators across 14 channels and 4 frequency bands, highlighting PSD features in specific channels (AF3, AF4, FC6, F4, T7, T8, and O2) across theta, beta, and gamma bands. Gender-cue processing exhibited enhanced neural responses in prefrontal and temporal regions with shorter reaction times (748.77 ms) compared to verb bias (903.20 ms) and discourse focus (948.92 ms).</div></div><div><h3>Comparison with existing methods</h3><div>Unlike previous studies examining individual linguistic factors, our approach simultaneously analyzed multiple resolution cues. The method achieved significant above-chance classification accuracy (49.08 % vs. 33.33 %) across three linguistic factors. This multi-factor analysis provides a more nuanced understanding of pronoun resolution processes than traditional single-factor studies.</div></div><div><h3>Conclusions</h3><div>Our findings suggest a more efficient, feature-driven processing mechanism for gender-cue resolution, contrasting with more complex, reasoning-dependent processing of verb semantics and discourse cues. These insights have implications for developing computational models of language processing and potential clinical applications for language disorders.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110462"},"PeriodicalIF":2.7,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902139","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 novel integration of brain structural and functional connectivity for identifying traumatic brain injury induced perturbations","authors":"Ishfaque Ahmed ,&nbsp;William D. Reeves ,&nbsp;Morgan H. Laballe ,&nbsp;Moira F. Taber ,&nbsp;Sydney E. Sneed ,&nbsp;Erin E. Kaiser ,&nbsp;Franklin D. West ,&nbsp;Qun Zhao","doi":"10.1016/j.jneumeth.2025.110459","DOIUrl":"10.1016/j.jneumeth.2025.110459","url":null,"abstract":"<div><h3>Background</h3><div>The ability of the brain to perform multiple complex tasks with fixed structures has yet to be fully elucidated. Structural connectivity (SC) and functional connectivity (FC) have been increasingly used to understand the structure and function of the brain respectively. However, a limited number of studies have explored the relationship between both entities especially in translational animal models.</div></div><div><h3>New Method</h3><div>We proposed an integration of both SC and FC can improve understanding of brain’s structure, function, their interplay, and brain’s response to neurological conditions such as traumatic brain injury (TBI). We investigated structure-function correlation at multiple scales (small: cortical regions, medium: resting state networks, and large: hemispheric and whole brain), and adapted a Bayesian framework to incorporate SC for constructing structurally-informed FC (siFC) using a translational porcine model.</div></div><div><h3>Results</h3><div>There is a significantly strong correlation r = 0.277 ± 0.011 between SC and FC in healthy pigs which is consistent across different scales. Further, siFC stability is measured as a Pearson correlation (r = 0.72 ± 0.07) between time-resolved FCs. Subsequent differential degree test analysis using siFC provided more explicit profiling of perturbations caused by TBI.</div></div><div><h3>Comparing with Existing Methods</h3><div>The siFC is more immune to large, dynamic variability than FC alone. A more accurate profiling of significantly altered connections and affected hubs by TBI is achieved which is consistent with TBI induced structural deformations.</div></div><div><h3>Conclusion</h3><div>Our findings demonstrated that SC-FC integration model improved detection of significant differences in brain connectivity and pinpoints hub regions that had been directly impacted by TBI.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110459"},"PeriodicalIF":2.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869562","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":"Proper reference selection and re-referencing to mitigate bias in single pulse electrical stimulation data","authors":"Harvey Huang ,&nbsp;Joshua A. Adkinson ,&nbsp;Michael A. Jensen ,&nbsp;Mohammed Hasen ,&nbsp;Isabel A. Danstrom ,&nbsp;Kelly R. Bijanki ,&nbsp;Nicholas M. Gregg ,&nbsp;Kai J. Miller ,&nbsp;Sameer A. Sheth ,&nbsp;Dora Hermes ,&nbsp;Eleonora Bartoli","doi":"10.1016/j.jneumeth.2025.110461","DOIUrl":"10.1016/j.jneumeth.2025.110461","url":null,"abstract":"<div><h3>Background</h3><div>Single pulse electrical stimulation experiments produce brain stimulation evoked potentials used to infer brain connectivity. The choice of recording reference for intracranial electrodes remains non-standardized and can significantly impact data interpretation. When the reference electrode is affected by stimulation or evoked brain activity, it can contaminate the brain stimulation evoked potentials recorded at all other electrodes and influence interpretation of findings.</div></div><div><h3>New method</h3><div>This specific issue is highlighted in intracranial EEG datasets from two subjects recorded at separate institutions. We present several intuitive metrics to detect the presence of reference contamination, based on artificial similarity between all channels. We also offer practical guidance on mitigating contamination, by switching to a more neutral reference electrode, or by <em>post hoc</em> re-referencing, per stimulation site, to an adjusted common average that is optimized for bias and noise.</div></div><div><h3>Results</h3><div>Either switching the reference electrode or re-referencing to an adjusted common average effectively mitigated the reference contamination issue. This was evidenced by metrics that indicated increased variability in the latencies and response durations of brain stimulation evoked potentials across the brain, and by increased similarity between experimental runs after re-referencing.</div></div><div><h3>Conclusion</h3><div>Overall, this study demonstrates the necessity of clear quality checks and preprocessing steps to ensure accurate interpretation of single pulse electrical stimulation data, and it provides a set of statistics and tools to achieve this.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110461"},"PeriodicalIF":2.7,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143874478","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":"Advancing network meta-analysis in non-invasive brain stimulation: Optimizing post-stroke mood through combined therapies","authors":"Rui Li ,&nbsp;Shuxiao Chen ,&nbsp;Xi Xie ,&nbsp;Sijia Xia ,&nbsp;Wenju Wang ,&nbsp;Tao Jiang ,&nbsp;Feng Chen ,&nbsp;Mengquan Tan ,&nbsp;Jing Tao","doi":"10.1016/j.jneumeth.2025.110460","DOIUrl":"10.1016/j.jneumeth.2025.110460","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;Post-stroke depression and anxiety significantly impact recovery and quality of life. Non-invasive brain stimulation (NIBS) techniques, including transcranial magnetic stimulation (TMS), transcranial direct current stimulation (tDCS), and transcranial ultrasound stimulation (TUS), have emerged as promising therapeutic options. However, the relative efficacy of single and combined NIBS therapies remains unclear. This network meta-analysis aims to identify the most effective combination therapies for optimizing post-stroke mood disorders.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;New method&lt;/h3&gt;&lt;div&gt;A systematic search was conducted across PubMed, Embase, Cochrane Library, Web of Science, and key Chinese databases to identify randomized controlled trials (RCTs) published up to March 2023. Two independent reviewers screened the studies, extracted relevant data, and assessed the risk of bias using the Cochrane Handbook. A network meta-analysis was performed using Stata SE version 15.1 and R software version 4.2.3 to evaluate the comparative effectiveness of different NIBS interventions.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;A total of 50 RCTs involving 3852 participants and 18 different interventions (including 11 combination therapies) were analyzed. The findings revealed:&lt;ul&gt;&lt;li&gt;&lt;span&gt;•&lt;/span&gt;&lt;span&gt;&lt;div&gt;Post-stroke depression: High-frequency repetitive TMS combined with low-frequency repetitive TMS and western medicine (HFrTMS_LFrTMS_WM) was the most effective therapy. Additionally, low-frequency rTMS combined with western medicine and traditional Chinese medicine (HFrTMS_WM_TCM) showed significant efficacy.&lt;/div&gt;&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;div&gt;&lt;ul&gt;&lt;li&gt;&lt;span&gt;•&lt;/span&gt;&lt;span&gt;&lt;div&gt;Post-stroke anxiety: tDCS combined with psychotherapy (tDCS_psychotherapy) was significantly more effective than sham stimulation in reducing anxiety scores.&lt;/div&gt;&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;ul&gt;&lt;li&gt;&lt;span&gt;•&lt;/span&gt;&lt;span&gt;&lt;div&gt;Effect of TUS: TUS combined with western medicine (TUS_WM) demonstrated superior efficacy in reducing anxiety compared to western medicine alone.&lt;/div&gt;&lt;/span&gt;&lt;/li&gt;&lt;/ul&gt;&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Comparison with existing methods&lt;/h3&gt;&lt;div&gt;Unlike previous studies focusing on single-modality interventions, this network meta-analysis systematically evaluates the comparative effectiveness of various combined NIBS strategies. Results indicate that combination therapies significantly outperform single-modality treatments, with TMS-based protocols showing the greatest overall benefit in improving both mood disorders and functional independence.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusions&lt;/h3&gt;&lt;div&gt;The findings suggest that optimized combination NIBS therapies offer superior outcomes for post-stroke depression and anxiety. HFrTMS_LFrTMS_WM was the most effective for depression and independence in activities of daily living (ADLs), while tDCS_psychotherapy and TUS_WM were particularly effective for anxiety. These results highlight the clinical potential of integrated NIBS strategies for post-st","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110460"},"PeriodicalIF":2.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143873926","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":"Chronic recording of brain activity in awake toads","authors":"Daniel A. Shaykevich ,&nbsp;Grace A. Woods ,&nbsp;Lauren A. O’Connell ,&nbsp;Guosong Hong","doi":"10.1016/j.jneumeth.2025.110449","DOIUrl":"10.1016/j.jneumeth.2025.110449","url":null,"abstract":"<div><h3>Background</h3><div>Amphibians represent an important evolutionary transition from aquatic to terrestrial environments and they display a large variety of complex behaviors despite a relatively simple brain. However, their brain activity is not as well characterized as that of many other vertebrates, partially due to physiological traits that have made electrophysiology recordings difficult to perform in awake and moving animals.</div></div><div><h3>New method</h3><div>We implanted flexible mesh electronics in the cane toad (<em>Rhinella marina</em>) and performed extracellular recordings in the telencephalon of anesthetized toads and awake toads over multiple days.</div></div><div><h3>Results</h3><div>Though we struggled with maintaining implants in all operated animals, we recorded brain activity over five consecutive days in 5 awake toads and over a 15 week period in a toad that was anesthetized during recordings. We were able to perform spike sorting and identified single- and multi-unit activity in all toads.</div></div><div><h3>Comparison with existing methods</h3><div>To our knowledge, this is the first report of a modern method to perform electrophysiology in non-paralyzed toads over multiple days, though there are historical references to short term recordings in the past.</div></div><div><h3>Conclusions</h3><div>Optimizing flexible mesh electronics in amphibian species will allow for advanced studies of the neural basis of amphibian behaviors.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"419 ","pages":"Article 110449"},"PeriodicalIF":2.7,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143852293","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}