Journal of Neuroscience Methods最新文献

{"title":"A comprehensive protocol for efficient differentiation of human NPCs into electrically competent neurons","authors":"Elena Romito ,&nbsp;Ingrid Battistella ,&nbsp;Vera Plakhova ,&nbsp;Arteda Paplekaj ,&nbsp;Chiara Forastieri ,&nbsp;Emanuela Toffolo ,&nbsp;Carlo Musio ,&nbsp;Luciano Conti ,&nbsp;Elena Battaglioli ,&nbsp;Francesco Rusconi","doi":"10.1016/j.jneumeth.2024.110225","DOIUrl":"10.1016/j.jneumeth.2024.110225","url":null,"abstract":"<div><h3>Background</h3><p>The study of neurons is fundamental to unraveling the complexities of the nervous system. Primary neuronal cultures from rodents have long been a cornerstone of experimental studies, yet limitations related to their non-human nature and ethical concerns have prompted the development of alternatives. In recent years, the derivation of neurons from human-induced pluripotent stem cells (hiPSCs) has emerged as a powerful option, offering a scalable source of cells for diverse applications. Neural progenitor cells (NPCs) derived from hiPSCs can be efficiently differentiated into functional neurons, providing a platform to study human neural physiology and pathology in vitro. However, challenges persist in achieving consistent and reproducible outcomes across experimental settings.</p></div><div><h3>Comparison with existing methods</h3><p>Our aim is to provide a step-by-step methodological protocol, augmenting existing procedures with additional instructions and parameters, to guide researchers in achieving reproducible results.</p></div><div><h3>Methods and results</h3><p>We outline procedures for the differentiation of hiPSC-derived NPCs into electrically competent neurons, encompassing initial cell density, morphology, maintenance, and differentiation. We also describe the analysis of specific markers for assessing neuronal phenotype, along with electrophysiological analysis to evaluate biophysical properties of neuronal excitability. Additionally, we conduct a comparative analysis of three different chemical methods—KCl, N-methyl-D-aspartate (NMDA), and bicuculline—to induce neuronal depolarization and assess their effects on the induction of both fast and slow post-translational, transcriptional, and post-transcriptional responses.</p></div><div><h3>Conclusion</h3><p>Our protocol provides clear instructions for generating reliable human neuronal cultures with defined electrophysiological properties to investigate neuronal differentiation and model diseases in vitro.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110225"},"PeriodicalIF":2.7,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165027024001705/pdfft?md5=066b2a2e8cfc6b8628c274cff8ff6271&pid=1-s2.0-S0165027024001705-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141759292","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":"High-throughput low-cost digital lickometer system for the assessment of licking behaviours in mice","authors":"MS Monfared ,&nbsp;Q. Mascret ,&nbsp;A. Marroquin-Rivera ,&nbsp;L. Blanc-Árabe ,&nbsp;Q. Lebouleux ,&nbsp;J. Lévesque ,&nbsp;B. Gosselin ,&nbsp;B. Labonté","doi":"10.1016/j.jneumeth.2024.110221","DOIUrl":"10.1016/j.jneumeth.2024.110221","url":null,"abstract":"<div><h3>Background</h3><p>Proper hydration is essential for maintaining health and supports various biological processes, including temperature regulation, immune function, nutrient delivery, and organ function. Visual assessment has traditionally been used to quantify liquid intake, although technological advances in optical and electrical sensors now offer higher accuracy and larger potential for automatic operation with millisecond precision and individual lick resolution.</p></div><div><h3>New method</h3><p>We describe an inexpensive electronic sensor board to monitor mouse licking behavior. The system is equipped with integrated filtering and data preprocessing steps. It measures lick count, frequency, width and interlick intervals with high resolution, allowing the real-time monitoring of complex licking patterns in several mice in their respective home cages over prolonged periods.</p></div><div><h3>Results</h3><p>Our lickometer provides two-millisecond resolution, efficiently detecting variations in licking behaviors in mice. The system is adapted to monitor licking behaviors in up to 12 mice simultaneously. Lick count, duration and interlick intervals, along with preference for sweet water were monitored over two days, revealing variations in licking patterns across light and dark phases extended over prolonged periods.</p></div><div><h3>Comparison with existing methods</h3><p>Our lickometer allows for monitoring licking behaviors and dynamics. It can be adapted to conventional mouse cages using electrical circuits. It is open-source, cost-effective, efficient, and can be utilized in real-time for large cohorts, representing an ideal tool for studying ingestive dynamics in different environmental and pathological contexts.</p></div><div><h3>Conclusion</h3><p>We have developed a novel, cost-effective, and efficient device to monitor ingestive behaviors in mice. The throughput of our device allows for monitoring several mice simultaneously while it can be applied directly to a conventional mouse cage, simplifying its implementation into pre-existing experimental setups.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110221"},"PeriodicalIF":2.7,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141759293","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":"Decoding EEG for optimizing naturalistic memory","authors":"Joseph H. Rudoler,&nbsp;James P. Bruska,&nbsp;Woohyeuk Chang,&nbsp;Matthew R. Dougherty,&nbsp;Brandon S. Katerman,&nbsp;David J. Halpern,&nbsp;Nicholas B. Diamond,&nbsp;Michael J. Kahana","doi":"10.1016/j.jneumeth.2024.110220","DOIUrl":"10.1016/j.jneumeth.2024.110220","url":null,"abstract":"<div><h3>Background:</h3><p>Spectral features of human electroencephalographic (EEG) recordings during learning predict subsequent recall variability.</p></div><div><h3>New method:</h3><p>Capitalizing on these fluctuating neural features, we develop a non-invasive closed-loop (NICL) system for real-time optimization of human learning. Participants play a virtual navigation-and-memory game; recording multi-session data across days allowed us to build participant-specific classification models of recall success. In subsequent closed-loop sessions, our platform manipulated the timing of memory encoding, selectively presenting items during periods of predicted good or poor memory function based on EEG features decoded in real time.</p></div><div><h3>Results:</h3><p>The induced memory effect (the difference between recall rates when presenting items during predicted good vs. poor learning periods) increased with the accuracy of neural decoding.</p></div><div><h3>Comparison with Existing Methods:</h3><p>This study demonstrates greater-than-chance memory decoding from EEG recordings in a naturalistic virtual navigation task with greater real-world validity than basic word-list recall paradigms. Here we modulate memory by timing stimulus presentation based on noninvasive scalp EEG recordings, whereas prior closed-loop studies for memory improvement involved intracranial recordings and direct electrical stimulation. Other noninvasive studies have investigated the use of neurofeedback or remedial study for memory improvement.</p></div><div><h3>Conclusions:</h3><p>These findings present a proof-of-concept for using non-invasive closed-loop technology to optimize human learning and memory through principled stimulus timing, but only in those participants for whom classifiers reliably predict out-of-sample memory function.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110220"},"PeriodicalIF":2.7,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141734383","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":"Applying the area fraction fractionator (AFF) probe for total volume estimations of somatic, dendritic and axonal domains of the nigrostriatal dopaminergic system in a murine model","authors":"Alejandro Oñate-Ponce ,&nbsp;Catalina Muñoz - Muñoz ,&nbsp;Alejandra Catenaccio ,&nbsp;Felipe A. Court ,&nbsp;Pablo Henny","doi":"10.1016/j.jneumeth.2024.110226","DOIUrl":"10.1016/j.jneumeth.2024.110226","url":null,"abstract":"<div><h3>Background</h3><p>The Cavalieri estimator is used for volume measurement of brain and brain regions. Derived from this estimator is the Area Fraction Fractionator (AFF), used for efficient area and number estimations of small 2D elements, such as axons in cross-sectioned nerves. However, to our knowledge, the AFF has not been combined with serial sectioning analysis to measure the volume of small-size nervous structures.</p></div><div><h3>New method</h3><p>Using the nigrostriatal dopaminergic system as an illustrative case, we describe a protocol based on Cavalieri's principle and AFF to estimate the volume of its somatic, nuclear, dendritic, axonal and axon terminal cellular compartments in the adult mouse. The protocol consists of (1) systematic random sampling of sites within and across sections in regions of interest (substantia nigra, the nigrostriatal tract, caudate-putamen), (2) confocal image acquisition of sites, (3) marking of cellular domains using Cavalieri's 2D point-counting grids, and 4) determination of compartments’ total volume using the estimated area of each compartment, and between-sections distance.</p></div><div><h3>Results</h3><p>The volume of the nigrostriatal system per hemisphere is ∼0.38 mm³, with ∼5 % corresponding to perikarya and cell nuclei, ∼10 % to neuropil/dendrites, and ∼85 % to axons and varicosities.</p></div><div><h3>Comparison with existing methods</h3><p>In contrast to other methods to measure volume of discrete objects, such as the optical nucleator or 3D reconstructions, it stands out for its versatility and ease of use.</p></div><div><h3>Conclusions</h3><p>The use of a simple quantitative, unbiased approach to assess the global state of a system may allow quantification of compartment-specific changes that may accompany neurodegenerative processes.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110226"},"PeriodicalIF":2.7,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141748426","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":"CT myelography by intrathecal injection of contrast medium though percutaneous administration route visualizes compressed cervical spinal cord in a mouse","authors":"Yuki Suzuki,&nbsp;Ken Kadoya,&nbsp;Akihito Sotome,&nbsp;Atsushi Sakuraba,&nbsp;Takeshi Endo,&nbsp;Norimasa Iwasaki","doi":"10.1016/j.jneumeth.2024.110224","DOIUrl":"10.1016/j.jneumeth.2024.110224","url":null,"abstract":"<div><h3>Background</h3><p>Chronic compressive myelopathy (CCM) is a major cause of spinal cord disorders in the elderly, in which the spinal cord is compressed by bony or soft tissue structures. Although computed tomography myelography (CTM) has been clinically used for the diagnosis of CCM, a method of CTM in rodents remains to be developed.</p></div><div><h3>New method</h3><p>A 50 μl Hamilton syringe attached to a disposable needle was percutaneously inserted into the subarachnoid space (cisterna magna) between the occipital bone and C1 lamina in an anesthetized adult mouse, followed by the injection of contrast medium and CT imaging.</p></div><div><h3>Results</h3><p>CTM clearly visualized the shape of the spinal cord of intact mice and tiptoe-walking Yoshimura (Twy) mice without any health issues.</p></div><div><h3>Comparison with existing method(s)</h3><p>Unlike histology, the current method functions in live mice, directly depicts the compressed spinal cord, and provides clinically related image information. Furthermore, the intrathecal administration of contrast medium through the percutaneous route makes CTM less invasive and takes less time than a conventional intrathecal injection method.</p></div><div><h3>Conclusions</h3><p>The CTM method used in the present study enables clear visualization of the shape of the dural sac and spinal cord and is useful when conducting experiments on CCM and other spinal diseases in rodents.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"409 ","pages":"Article 110224"},"PeriodicalIF":2.7,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141736621","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":"LANMAO sleep recorder versus polysomnography in neonatal EEG recording and sleep analysis","authors":"Ruijie Zhang ,&nbsp;Xin Zheng ,&nbsp;Lu Zhang ,&nbsp;Yan Xu ,&nbsp;Xinao Lin ,&nbsp;Xuefeng Wang ,&nbsp;Chuyan Wu ,&nbsp;Feng Jiang ,&nbsp;Jimei Wang","doi":"10.1016/j.jneumeth.2024.110222","DOIUrl":"10.1016/j.jneumeth.2024.110222","url":null,"abstract":"<div><h3>Background</h3><p>The field of neonatal sleep analysis is burgeoning with devices that purport to offer alternatives to polysomnography (PSG) for monitoring sleep patterns. However, the majority of these devices are limited in their capacity, typically only distinguishing between sleep and wakefulness. This study aims to assess the efficacy of a novel wearable electroencephalographic (EEG) device, the LANMAO Sleep Recorder, in capturing EEG data and analyzing sleep stages, and to compare its performance against the established PSG standard.</p></div><div><h3>Methods</h3><p>The study involved concurrent sleep monitoring of 34 neonates using both PSG and the LANMAO device. Initially, the study verified the consistency of raw EEG signals captured by the LANMAO device, employing relative spectral power analysis and Pearson correlation coefficients (PCC) for validation. Subsequently, the LANMAO device’s integrated automated sleep staging algorithm was evaluated by comparing its output with expert-generated sleep stage classifications.</p></div><div><h3>Results</h3><p>Analysis revealed that the PCC between the relative spectral powers of various frequency bands during different sleep stages ranged from 0.28 to 0.48. Specifically, the correlation for delta waves was recorded at 0.28. The automated sleep staging algorithm of the LANMAO device demonstrated an overall accuracy of 79.60 %, Cohen kappa of 0.65, and F1 Score of 76.93 %. Individual accuracy for Wake at 87.20 %, NREM at 85.70 %, and REM Sleep at 81.30 %.</p></div><div><h3>Conclusion</h3><p>While the LANMAO Sleep Recorder’s automated sleep staging algorithm necessitates further refinement, the device shows promise in accurately recording neonatal EEG during sleep. Its potential for minimal invasiveness makes it an appealing option for monitoring sleep conditions in newborns, suggesting a novel approach in the field of neonatal sleep analysis.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110222"},"PeriodicalIF":2.7,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141748427","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":"An XAI-enhanced efficientNetB0 framework for precision brain tumor detection in MRI imaging","authors":"Mahesh T R ,&nbsp;Muskan Gupta ,&nbsp;Anupama T A ,&nbsp;Vinoth Kumar V ,&nbsp;Oana Geman ,&nbsp;Dhilip Kumar V","doi":"10.1016/j.jneumeth.2024.110227","DOIUrl":"10.1016/j.jneumeth.2024.110227","url":null,"abstract":"<div><h3>Background</h3><p>Accurately diagnosing brain tumors from MRI scans is crucial for effective treatment planning. While traditional methods heavily rely on radiologist expertise, the integration of AI, particularly Convolutional Neural Networks (CNNs), has shown promise in improving accuracy. However, the lack of transparency in AI decision-making processes presents a challenge for clinical adoption.</p></div><div><h3>Methods</h3><p>Recent advancements in deep learning, particularly the utilization of CNNs, have facilitated the development of models for medical image analysis. In this study, we employed the EfficientNetB0 architecture and integrated explainable AI techniques to enhance both accuracy and interpretability. Grad-CAM visualization was utilized to highlight significant areas in MRI scans influencing classification decisions.</p></div><div><h3>Results</h3><p>Our model achieved a classification accuracy of 98.72 % across four categories of brain tumors (Glioma, Meningioma, No Tumor, Pituitary), with precision and recall exceeding 97 % for all categories. The incorporation of explainable AI techniques was validated through visual inspection of Grad-CAM heatmaps, which aligned well with established diagnostic markers in MRI scans.</p></div><div><h3>Conclusion</h3><p>The AI-enhanced EfficientNetB0 framework with explainable AI techniques significantly improves brain tumor classification accuracy to 98.72 %, offering clear visual insights into the decision-making process. This method enhances diagnostic reliability and trust, demonstrating substantial potential for clinical adoption in medical diagnostics.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110227"},"PeriodicalIF":2.7,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141748425","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":"Lightweight attention mechanisms for EEG emotion recognition for brain computer interface","authors":"Naresh Kumar Gunda ,&nbsp;Mohammed I. Khalaf ,&nbsp;Shaleen Bhatnagar ,&nbsp;Aadam Quraishi ,&nbsp;Leeladhar Gudala ,&nbsp;Ashok Kumar Pamidi Venkata ,&nbsp;Faisal Yousef Alghayadh ,&nbsp;Shtwai Alsubai ,&nbsp;Vaibhav Bhatnagar","doi":"10.1016/j.jneumeth.2024.110223","DOIUrl":"10.1016/j.jneumeth.2024.110223","url":null,"abstract":"<div><h3>Background</h3><p>In the realm of brain-computer interfaces (BCI), identifying emotions from electroencephalogram (EEG) data is a difficult endeavor because of the volume of data, the intricacy of the signals, and the several channels that make up the signals.</p></div><div><h3>New methods</h3><p>Using dual-stream structure scaling and multiple attention mechanisms (LDMGEEG), a lightweight network is provided to maximize the accuracy and performance of EEG-based emotion identification. Reducing the number of computational parameters while maintaining the current level of classification accuracy is the aim. This network employs a symmetric dual-stream architecture to assess separately time-domain and frequency-domain spatio-temporal maps constructed using differential entropy features of EEG signals as inputs.</p></div><div><h3>Result</h3><p>The experimental results show that after significantly lowering the number of parameters, the model achieved the best possible performance in the field, with a 95.18 % accuracy on the SEED dataset.</p></div><div><h3>Comparison with existing methods</h3><p>Moreover, it reduced the number of parameters by 98 % when compared to existing models.</p></div><div><h3>Conclusion</h3><p>The proposed method distinct channel-time/frequency-space multiple attention and post-attention methods enhance the model's ability to aggregate features and result in lightweight performance.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110223"},"PeriodicalIF":2.7,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S0165027024001687/pdfft?md5=0ae1db4a55b8b9a96bd26c69bbb0dfec&pid=1-s2.0-S0165027024001687-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141734384","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":"Using FASS-LTP in postmortem mice brain tissues to assess pathological synaptic function","authors":"Joshua Currie ,&nbsp;Shaneilahi Budhwani ,&nbsp;Klarissa H. Garza ,&nbsp;Malav Mallipudi ,&nbsp;Chandramouli Natarajan ,&nbsp;Sravan Gopalkrishna Shetty Sreenivasamurthy ,&nbsp;Balaji Krishnan","doi":"10.1016/j.jneumeth.2024.110219","DOIUrl":"10.1016/j.jneumeth.2024.110219","url":null,"abstract":"<div><h3>Background</h3><p>Study of synaptic integrity using conventional electrophysiology is a gold standard for quantitative assessment of neurodegeneration. Fluorescence assisted single-synapse long-term potentiation (FASS-LTP) provides a high throughput method to assess the synaptic integrity of neurotransmission within and between different brain regions as a measure of pharmacological efficacy in translational models.</p></div><div><h3>New method</h3><p>We adapted the existing method to our purpose by adding a step during the thawing of frozen samples, by an extra step of placing them on a rocker at room temperature for 30 minutes immediately following thawing with constant mixing on a shaker. This allowed for gradual, uniform thawing, effectively separating the synaptosomes. Our study demonstrates FASS-LTP on four brain regions at 6- and 12-month periods in the 3xTg-AD mouse model, treating sibling cohorts with VU0155069 (a small molecule inhibitor) or vehicle (0.9 % saline).</p></div><div><h3>Results</h3><p>Our findings demonstrate the robust ability of the FASS-LTP technique to characterize the functional synaptic integrity maintained by disease-treatment therapies in multiple brain regions longitudinally using frozen brain tissue.</p></div><div><h3>Comparison with existing methods</h3><p>By providing a detailed, user-friendly protocol for this well-known analysis and including a recovery step improved the ability to robustly replicate the FASS-LTP between different brain regions. This may be extrapolated to a translational use on human clinical samples to improve understanding of the therapeutic impact on synaptic performance related to glutamate neurotransmission.</p></div><div><h3>Conclusions</h3><p>FASS-LTP method offers a robust analysis of synaptosomes isolated from frozen tissue samples, demonstrating greater reproducibility in rodent and human synapses in physiological and pathological states.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"409 ","pages":"Article 110219"},"PeriodicalIF":2.7,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141626970","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":"Relationship between burden of cerebral small vessel disease on imaging and cognitive impairment of COPD patients","authors":"","doi":"10.1016/j.jneumeth.2024.110218","DOIUrl":"10.1016/j.jneumeth.2024.110218","url":null,"abstract":"<div><h3>Objective</h3><p>This study aims to explore the relationship between the burden of cerebral small vessel disease (CSVD) on imaging and cognitive impairment (CI) in patients with chronic obstructive pulmonary disease (COPD).</p></div><div><h3>Methods</h3><p>The study included 118 COPD patients admitted to Changxing People’s Hospital between July 2020 and July 2023. All patients received a 1.5 T MRI of the brain and pulmonary function tests. A cognitive function assessment was conducted via the Montreal Cognitive Assessment (MoCA) scale, and patients were divided into two groups. The relationship between the MoCA and CSVD burden score was analyzed by Pearson correlation, and to identify risk factors, multiple logistic regression analysis was performed.</p></div><div><h3>Results</h3><p>The study showed a negative correlation between the MoCA and CSVD burden score in COPD patients (r=-0.479, P&lt;0.001). Multiple logistic regression analysis found that age (OR=2.264, 95 % CI: 1.426–3.596, P&lt;0.001), COPD grade (OR=3.139, 95 % CI: 2.012–4.898, P&lt;0.001), as well as CSVD burden score (OR=5.336, 95 % CI: 1.191–23.900, P&lt;0.001) were the independent risk factors for CI in COPD patients (P&lt;0.05).</p></div><div><h3>Conclusion</h3><p>When screening for cognitive impairment in COPD patients, the CSVD burden score can be used in conjunction with cognitive assessment scales to make judgments.</p></div>","PeriodicalId":16415,"journal":{"name":"Journal of Neuroscience Methods","volume":"410 ","pages":"Article 110218"},"PeriodicalIF":2.7,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141600207","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}