Journal of Neuroscience Methods最新文献

{"title":"Unveiling the decision making process in Alzheimer’s disease diagnosis: A case-based counterfactual methodology for explainable deep learning","authors":"Adarsh Valoor ,&nbsp;G.R. Gangadharan","doi":"10.1016/j.jneumeth.2024.110318","DOIUrl":"10.1016/j.jneumeth.2024.110318","url":null,"abstract":"<div><h3>Background</h3><div>The field of Alzheimer's disease (AD) diagnosis is undergoing significant transformation due to the application of deep learning (DL) models. While DL surpasses traditional machine learning in disease prediction from structural magnetic resonance imaging (sMRI), the lack of explainability limits clinical adoption. Counterfactual inference offers a way to integrate causal explanations into these models, enhancing their robustness and transparency.</div></div><div><h3>New method</h3><div>This study develops a novel methodology combining U-Net and generative adversarial network (GAN) models to create comprehensive counterfactual diagnostic maps for AD. The proposed methodology uses case-based counterfactual reasoning for robust decision classification for counterfactual maps to understand how changes in specific features affect the model's predictions.</div></div><div><h3>Comparison with existing methods</h3><div>The proposed methodology is compared with state-of-the-art visual explanation techniques across the ADNI dataset. The proposed methodology is also benchmarked against other gradient-based and generative models for its ability to generate comprehensive counterfactual maps.</div></div><div><h3>Results</h3><div>The results demonstrate that the proposed methodology significantly outperforms existing methods in accuracy, sensitivity, and specificity while providing detailed counterfactual maps that visualize how slight changes in brain morphology could lead to different diagnostic outcomes. The proposed methodology achieves an accuracy of 95 % and an AUC of 0.97, illustrating its superiority in capturing subtle yet crucial anatomical features.</div></div><div><h3>Conclusions</h3><div>By generating intuitive visual explanations, the proposed methodology improves the interpretability and robustness of AD diagnostic models, making them more reliable and accountable. The use of counterfactual inference enhances clinicians' understanding of disease progression and the impact of different interventions, fostering precision medicine in AD care.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"413 ","pages":"Article 110318"},"PeriodicalIF":2.7,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622224","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":"WS-BiTM: Integrating White Shark Optimization with Bi-LSTM for enhanced autism spectrum disorder diagnosis","authors":"Kainat Khan,&nbsp;Rahul Katarya","doi":"10.1016/j.jneumeth.2024.110319","DOIUrl":"10.1016/j.jneumeth.2024.110319","url":null,"abstract":"<div><div>Autism Spectrum Disorder (ASD) is a multifaceted neurodevelopmental condition marked by challenges in social communication, sensory processing, and behavioral regulation. The delayed diagnosis of ASD significantly impedes timely interventions, which can exacerbate symptom severity. With approximately 62 million individuals affected worldwide, the demand for efficient diagnostic tools is critical. This study introduces a novel framework that combines a White Shark Optimization (WSO)-based feature selection method with a Bidirectional Long Short-Term Memory (Bi-LSTM) classifier for enhanced autism classification. Utilizing the WSO technique, we identify key features from autism screening datasets, which markedly improves the model's predictive capabilities. The optimized feature set is then processed by the Bi-LSTM classifier, enhancing its efficiency in handling sequential data. We comprehensively address methodological challenges, including overfitting, generalization, interpretability, and computational efficiency. Furthermore, we conduct a comparative analysis against baseline algorithms such as Neural Networks, Convolutional Neural Networks (CNN), and Long Short-Term Memory (LSTM) networks, while also employing Particle Swarm Optimization (PSO) for feature selection validation. We evaluate performance metrics, including accuracy, F1-score, specificity, precision, and sensitivity across three ASD datasets: Toddlers, Adults, and Children. Our results demonstrate that the WS-BiTM model significantly outperforms baseline methods, achieving accuracies of 97.6 %, 96.2 %, and 96.4 % on the respective datasets. Additionally, we implemented leave-one-dataset cross-validation and confirmed the statistical significance of our findings through a paired t-test, supplemented by an ablation study to detail the contributions of individual model components. These findings highlight the potential of the WS-BiTM model as a robust tool for ASD classification.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"413 ","pages":"Article 110319"},"PeriodicalIF":2.7,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622227","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":"Cognition enhances cognition: A comprehensive analysis on cognitive stimulation protocols and their effects on cognitive functions in animal models","authors":"Eugenia Landolfo ,&nbsp;Erica Berretta ,&nbsp;Francesca Balsamo ,&nbsp;Laura Petrosini ,&nbsp;Francesca Gelfo","doi":"10.1016/j.jneumeth.2024.110316","DOIUrl":"10.1016/j.jneumeth.2024.110316","url":null,"abstract":"<div><div>Brain plasticity is involved in the regulation of neural differentiation as well as in functional processes related to memory consolidation, learning, and cognition during healthy life and brain pathology. Modifications in lifestyle, like poor diet, insufficient physical exercise and cognitive stimulation are associated with an increased risk of neurodegeneration; however, there is a paucity of research regarding the impact of individual factors on dementia risk or progression. Cognitive stimulation is a group of techniques and strategies, including cognitive enrichment (CE) and cognitive training (CT), aimed to maintain or improve the functionality of cognitive abilities, such as memory, learning, cognitive flexibility, and attention. The present scoping review focuses on cognitive stimulation by investigating its neuroprotective and therapeutic role on these cognitive functions in rodents. A methodical bibliographic search of experimental studies on rats and mice was conducted on PubMed and Scopus databases up to June 3, 2024. A pool of 29 original research articles was considered as relevant to the topic of the present work. Evidence shows that CE but above all CT influence cognitive performance and brain structure in rodents with specific differences with respect to the quality and quantity of stimulation. There would appear to be greater effects in restoring damage than in preserving or improving a functioning condition. These results provide a theoretical basis to be considered in the therapeutic setting, although further systematic studies would be necessary to identify and characterize the cognitive stimulation protocols which hold the greatest and task-transferable impact on cognitive functioning and maintenance.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"413 ","pages":"Article 110316"},"PeriodicalIF":2.7,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622212","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":"Positive reinforcement-based magnet training permits social housing in catheterized squirrel monkeys","authors":"Alexandra N. Johansen ,&nbsp;Hector M. Figueroa ,&nbsp;Jacquelin C. Hecker ,&nbsp;Jazmyne Z. Taylor ,&nbsp;Evan T. Shukan ,&nbsp;Hank P. Jedema ,&nbsp;Charles W. Bradberry","doi":"10.1016/j.jneumeth.2024.110313","DOIUrl":"10.1016/j.jneumeth.2024.110313","url":null,"abstract":"<div><h3>Background</h3><div>Non-human primates play a critical role in neuroscience research. Though they are social animals, laboratory study requirements can sometimes require single housing and thereby prevent social housing.</div></div><div><h3>New Method</h3><div>To eliminate single housing and promote well-being within our squirrel monkey colony, we used positive reinforcement training in combination with magnetic/mechanical clasps and custom jackets to permit pair housing of catheterized squirrel monkeys used in behavioral studies.</div></div><div><h3>Results</h3><div>Adult <em>Saimiri boliviensis boliviensis</em> monkeys (<em>n</em> = 7) readily progressed through a six-stage training procedure for cooperative handling and transport from the home cage to the experimental testing rooms.</div><div>Comparison with existing methods and conclusions: Given the evidence of isolation induced stress and neurobiological consequences in multiple species, and consistent with an increased regulatory emphasis on social housing of non-human primates, the methods presented herein provide a method for handling squirrel monkeys in behavioral studies that is compatible with social housing.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"413 ","pages":"Article 110313"},"PeriodicalIF":2.7,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142564383","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":"Pupillometry is sensitive to speech masking during story listening: A commentary on the critical role of modeling temporal trends","authors":"Andreas Widmann ,&nbsp;Björn Herrmann ,&nbsp;Florian Scharf","doi":"10.1016/j.jneumeth.2024.110299","DOIUrl":"10.1016/j.jneumeth.2024.110299","url":null,"abstract":"<div><div>An increase in pupil size is an important index of listening effort, for example, when listening to speech masked by noise. Specifically, the pupil dilates as the signal-to-noise ratio decreases. A growing body of work aims to assess listening effort under naturalistic conditions using continuous speech, such as spoken stories. However, a recent study found that pupil size was sensitive to speech masking only when listening to sentences but not under naturalistic conditions when listening to stories. The pupil typically constricts with increasing time on task during an experimental block or session, and it may be necessary to account for this temporal trend in experimental design and data analysis in paradigms using longer, continuous stimuli. In the current work, we re-analyze the previously published pupil data, taking into account a problematic constraint of randomization and time-on-task, and use the data to outline methodological solutions for accounting for temporal trends in physiological data using linear mixed models. The results show that, in contrast to the previous work, pupil size is indeed sensitive to speech masking even during continuous story listening. Furthermore, accounting for the temporal trend allowed modeling the dynamic changes in the speech masking effect on pupil size over time as the continuous story unfolded. After demonstrating the importance of accounting for temporal trends in the analysis of empirical data, we provide simulations, methodological considerations, and user recommendations for the analysis of temporal trends in experimental data using linear mixed models.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"413 ","pages":"Article 110299"},"PeriodicalIF":2.7,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467906","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 population-level neural tuning functions using Ricker wavelets and the Bayesian bootstrap","authors":"Laura Ahumada ,&nbsp;Christian Panitz ,&nbsp;Caitlin M. Traiser ,&nbsp;Faith E. Gilbert ,&nbsp;Mingzhou Ding ,&nbsp;Andreas Keil","doi":"10.1016/j.jneumeth.2024.110303","DOIUrl":"10.1016/j.jneumeth.2024.110303","url":null,"abstract":"<div><h3>Background</h3><div>Experience changes visuo-cortical tuning. In humans, re-tuning has been studied during aversive generalization learning, in which the similarity of generalization stimuli (GSs) with a conditioned threat cue (CS+) is used to quantify tuning functions. Previous work utilized pre-defined tuning shapes (generalization and sharpening patterns). This approach may constrain the ways in which re-tuning can be characterized since the tuning patterns may not match the prototypical functions.</div></div><div><h3>New method</h3><div>The present study proposes a flexible and data-driven method for precisely quantifying changes in tuning based on the Ricker wavelet function and the Bayesian bootstrap. This method was applied to EEG and psychophysics data from an aversive generalization learning paradigm.</div></div><div><h3>Results</h3><div>The Ricker wavelet model fitted the steady-state visual event potentials (ssVEP), alpha-band power, and detection accuracy data well. A Morlet wavelet function was used for comparison and fit the data better in some situations, but was more challenging to interpret. The pattern of re-tuning in the EEG data, predicted by the Ricker model, resembled the shapes of the best fitting a-priori patterns.</div></div><div><h3>Comparison with existing methods</h3><div>Although the re-tuning shape modeled by the Ricker function resembled the pre-defined shapes, the Ricker approach led to greater Bayes factors and more interpretable results compared to a-priori models. The Ricker approach was more easily fit and led to more interpretable results than a Morlet wavelet model.</div></div><div><h3>Conclusion</h3><div>This work highlights the promise of the current method for capturing the precise nature of visuo-cortical tuning, unconstrained by the implementation of a-priori models.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"413 ","pages":"Article 110303"},"PeriodicalIF":2.7,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467907","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":"T1- and T2-weighted MRI signal and histology findings in suboptimally fixed human brains","authors":"Eve-Marie Frigon ,&nbsp;Philippe Pharand ,&nbsp;Amy Gérin-Lajoie ,&nbsp;Liana Guerra Sanches ,&nbsp;Denis Boire ,&nbsp;Mahsa Dadar ,&nbsp;Josefina Maranzano","doi":"10.1016/j.jneumeth.2024.110301","DOIUrl":"10.1016/j.jneumeth.2024.110301","url":null,"abstract":"<div><div>Neuroscientific research that requires brain tissue depends on brain banks that provide very small tissue samples fixed by immersion in neutral-buffered formalin (NBF), while anatomy laboratories could provide full brain specimens. However, these brains are generally fixed by perfusion of the full body with solutions other than NBF generally used by brain banks, such as an alcohol-formaldehyde solution (AFS) that is typically used for dissection and teaching. Therefore, fixation quality of these brains needs to be assessed to determine their usefulness in post-mortem investigations through magnetic resonance imaging (MRI) and histology, two common neuroimaging modalities. Here, we report the characteristics of five brains fixed by full body perfusion of an AFS from our Anatomy Laboratory suspected of being poorly fixed, given the altered signal seen on T1w MRI scans <em>in situ</em>. We describe 1- the characteristics of the donors; 2- the fixation procedures applied for each case; 3- the tissue contrast characteristics of the T1w and T2w images; 4- the macroscopic tissue quality after extraction of the brains; 5- the macroscopic arterial characteristics and presence or absence of blood clots; and 6- four histological stains of the areas that we suspected were poorly fixed. We conclude that multiple factors can affect the fixation quality of the brain. Nevertheless, cases in which brain fixation is suboptimal, consequently altering the T1w signal, still have T2w of adequate gray-matter to white-matter contrast and may also be used for histology stains with sufficient quality.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"412 ","pages":"Article 110301"},"PeriodicalIF":2.7,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467908","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":"Enhancing non-invasive pre-surgical evaluation through functional connectivity and graph theory in drug-resistant focal epilepsy","authors":"Silvana Pelle ,&nbsp;Anna Scarabello ,&nbsp;Lorenzo Ferri ,&nbsp;Giulia Ricci ,&nbsp;Francesca Bisulli ,&nbsp;Mauro Ursino","doi":"10.1016/j.jneumeth.2024.110300","DOIUrl":"10.1016/j.jneumeth.2024.110300","url":null,"abstract":"<div><h3>Background</h3><div>Epilepsy, characterized as a network disorder, involves widely distributed areas following seizure propagation from a limited onset zone. Accurate delineation of the epileptogenic zone (EZ) is crucial for successful surgery in drug-resistant focal epilepsy. While visual analysis of scalp electroencephalogram (EEG) primarily elucidates seizure spreading patterns, we employed brain connectivity techniques and graph theory principles during the pre-ictal to ictal transition to define the epileptogenic network.</div></div><div><h3>Method</h3><div>Cortical sources were reconstructed from 40-channel scalp EEG in five patients during pre-surgical evaluation for focal drug-resistant epilepsy. Temporal Granger connectivity was estimated ten seconds before seizure and at seizure onset. Results have been analyzed using some centrality indices taken from Graph theory (Outdegree, Hubness). A new lateralization index is proposed by taking into account the sum of the most relevant hubness values across left and right regions of interest.</div></div><div><h3>Results</h3><div>In three patients with positive surgical outcomes, analysis of the most relevant Hubness regions closely aligned with clinical hypotheses, demonstrating consistency in EZ lateralization and location. In one patient, the method provides unreliable results due to the abundant movement artifacts preceding the seizure. In a fifth patient with poor surgical outcome, the proposed method suggests a wider epileptic network compared with the clinically suspected EZ, providing intriguing new indications beyond those obtained with traditional electro-clinical analysis.</div></div><div><h3>Conclusions</h3><div>The proposed method could serve as an additional tool during pre-surgical non-invasive evaluation, complementing data obtained from EEG visual inspection. It represents a first step toward a more sophisticated analysis of seizure onset based on connectivity imbalances, electrical propagation, and graph theory principles.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"413 ","pages":"Article 110300"},"PeriodicalIF":2.7,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142467905","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":"Modified rat pup cerebrospinal fluid collection method","authors":"Jiaojiao Wang,&nbsp;Zhifang Dong,&nbsp;Xiuyu Shi","doi":"10.1016/j.jneumeth.2024.110302","DOIUrl":"10.1016/j.jneumeth.2024.110302","url":null,"abstract":"<div><h3>Background</h3><div>Cerebrospinal fluid (CSF) reflects biochemical changes in the brain due to its direct contact with brain interstitial fluid, making it a valuable tool for diagnosing and monitoring disease progression and therapeutic effectiveness in clinical practice. However, collecting CSF in animal studies, particularly from small animals like rat pups or mice, poses significant challenges.</div></div><div><h3>New method</h3><div>After attempting various reported protocols, we encountered difficulties in consistently obtaining sufficient CSF from rat pups (P7-P42). Consequently, we modified these methods and developed a protocol with controllable and precise parameters for each step, enhancing reproducibility across different researchers.</div></div><div><h3>Results</h3><div>The newly developed method enables rapid, single-operator, and reproducible CSF extraction while ensuring high-quality (the absorbance of the “quality control solution” at 415 nm &lt; 0.05 AU, an indicator of oxyhemoglobin contamination for the collected CSF samples) and high-yield samples (33 ± 2.128 μL for P7 pups, 34.10 ± 2.747 μL for P8 pups, 36.67 ± 3.997 μL for P9 pups, 36.90 ± 1.946 μL for P10 pups, 35.11 ± 3.285 μL for P10 hypoxic-ischemic brain damage (HIBD) pups and 51.70 ± 5.256 μL for P42 pups, respectively).</div></div><div><h3>Comparison with existing methods</h3><div>Unlike existing methods of CSF extraction in rat pups, our protocol has reproducible capillary pipette pulling parameters, controllable CSF quality indexes, and can be operated by a single person with high yield in a short time.</div></div><div><h3>Conclusions</h3><div>This paper provides a step-by-step comparison and discussion of the CSF collection process, establishing a method that enables a single operator to collect CSF rapidly, consistently, sufficiently, and with controlled quality.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"412 ","pages":"Article 110302"},"PeriodicalIF":2.7,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142445875","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":"Localization of neurons from extracellular footprints","authors":"Mélina Scopin ,&nbsp;Giulia L.B. Spampinato ,&nbsp;Olivier Marre ,&nbsp;Samuel Garcia ,&nbsp;Pierre Yger","doi":"10.1016/j.jneumeth.2024.110297","DOIUrl":"10.1016/j.jneumeth.2024.110297","url":null,"abstract":"<div><h3>Background:</h3><div>High density microelectrode arrays (HD-MEAs) are now widely used for both <em>in-vitro</em> and <em>in-vivo</em> recordings, as they allow spikes from hundreds of neurons to be recorded simultaneously. Since extracellular recordings do not allow visualization of the recorded neurons, algorithms are needed to estimate their physical positions, especially to track their movements when the are drifting away from recording devices.</div></div><div><h3>New Method:</h3><div>The objective of this study was to evaluate the performance of multiple algorithms for neuron localization solely from extracellular traces (MEA recordings), either artificial or obtained from mouse retina. The algorithms compared included center-of-mass, monopolar, and grid-based algorithms. The first method is a barycenter calculation. The second algorithm infers the position of the cell using triangulation with the assumption that the neuron behaves as a monopole. Finally, grid-based methods rely on comparing the recorded spike with a projection of spikes of hypothetical neurons with different positions.</div></div><div><h3>Results:</h3><div>The Grid-Based algorithm yielded the most satisfactory outcomes. The center-of-mass exhibited a minimal computational cost, yet its average localization was suboptimal. Monopolar algorithms gave cell localizations with an average error of less than <span><math><mrow><mn>10</mn><mspace></mspace><mi>μ</mi><mi>m</mi></mrow></math></span>, but they had considerable variability and a high computational cost. For the grid-based method, the variability was smaller, with satisfactory performance and low computational cost.</div></div><div><h3>Comparison with Existing Method(s):</h3><div>The accuracy of the different localization methods benchmarked in this article had not been properly tested with ground-truth recordings before.</div></div><div><h3>Conclusion:</h3><div>The objective of this article is to provide guidance to researchers on the selection of optimal methods for localizing neurons based on MEA recordings.</div></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"412 ","pages":"Article 110297"},"PeriodicalIF":2.7,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142400422","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}