Brain Organoid and Systems Neuroscience Journal最新文献

{"title":"Ageing and brain research networks in Norway","authors":"Evandro F. Fang ,&nbsp;Asgeir Kobro-Flatmoen ,&nbsp;Linda Hildegard Bergersen ,&nbsp;Hilde Nilsen ,&nbsp;Jon Storm-Mathisen","doi":"10.1016/j.bosn.2024.11.001","DOIUrl":"10.1016/j.bosn.2024.11.001","url":null,"abstract":"<div><div>The global population is ageing rapidly with over 1.6 billion people forecast to be over 65 by 2050. While this ‘crisis of ageing’ builds, medical research is rushing to prepare to meet the expected increase in the number of patients, especially those with dementia, including Alzheimer’s disease. With the growth of the digital world, sharing of information and resources has come into focus as one way to help meet the crisis through creating positive collaborative working environments. In Norway, particularly two networks on ageing research have grown through the need for connectivity and collaboration, NO-Age and NO-AD. Their growth, and the growth of international collaborative environments, will help researchers seek for the keys to longer, healthier lives for older people around the world.</div></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 92-93"},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"StressMatic: Bridging innovation and reliability in animal models of stress","authors":"Joana Martins-Macedo ,&nbsp;Eduardo D. Gomes ,&nbsp;João F. Oliveira ,&nbsp;Patrícia Patrício ,&nbsp;Luísa Pinto","doi":"10.1016/j.bosn.2024.11.002","DOIUrl":"10.1016/j.bosn.2024.11.002","url":null,"abstract":"<div><div>Preclinical research involving animal models of stress exposure typically rely on traditional manual protocols, which are laborious and time-consuming and may compromise reproducibility and the effective translation of findings into clinical applications. StressMatic is an automated stress exposure system (auCMS), designed to improve the standardization and reproducibility of stress-induction methodologies. The auCMS demonstrated consistent efficacy, with animals subjected to automated stressors displaying similar responses to those exposed to conventional manual methods, thus confirming its validity as a reliable tool. While some stressors still require human involvement, the automation of key processes has markedly enhanced efficiency and minimized operational time. This innovative approach reduces the introduction of human error, increases precision, and standardizes experimental workflows, resulting in a more robust preclinical research platform. By streamlining repetitive tasks, the auCMS promotes adaptability in experimental design, particularly in the study of mood disorders. Ultimately, this automated protocol not only enhances the reliability of pharmaceutical screening processes but also strengthens the drug discovery pipeline, facilitating deeper insights into behavioral outcomes and informing therapeutic strategies.</div></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 75-80"},"PeriodicalIF":0.0,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Harmony in the brain: A narrative review on the shared neural substrates of emotion regulation and creativity","authors":"A.I. Ladas ,&nbsp;T. Gravalas ,&nbsp;C. Katsoridou ,&nbsp;C.A. Frantzidis","doi":"10.1016/j.bosn.2024.10.002","DOIUrl":"10.1016/j.bosn.2024.10.002","url":null,"abstract":"<div><div>The contribution of creativity in overall well-being through regulating emotions has sparkled research interest in employing artistic interventions recently for the improvement of mental health. Although the behavioural links between emotion regulation and creativity have been established, the neural networks reflecting these relations are yet to be investigated. In this mini review, we describe the neural underpinnings of all forms of creativity and of the emotion regulation strategies. Given the complexity of both of these constructs, we separate creativity in its various forms and report the regions and the neural networks involved. Similarly, we distinguish between the differential emotion regulation strategies and describe the relevant brain areas and networks. We then proceed to a critical exploration of common regions of interest and of neural pathways among these important functions. The studies included in this review point towards certain brain regions that are shared among creativity and affective control, such as the prefrontal cortex, the anterior cingulate cortex, the dorsolateral prefrontal cortex, the medial temporal lobe and the inferior parietal lobule. The common neural networks of emotion regulation and creativity mainly focus on the default mode, the executive control and the salience networks. We then suggest a shared neural mechanism that may underlie emotion regulation and creativity, involving both control and affective processing. Drawing on the limitations of the studies reviewed, directions for future research are suggested that could significantly inform the field.</div></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 81-91"},"PeriodicalIF":0.0,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142653624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unravelling neuroinflammation-mediated mitochondrial dysfunction in mild cognitive impairment: Insights from targeted metabolomics","authors":"Rimjhim Trivedi ,&nbsp;Smita Singh ,&nbsp;Vivek Singh ,&nbsp;Sachin Yadav ,&nbsp;Avinash Chandra Singh ,&nbsp;Anup Singh ,&nbsp;Rameshwar Nath Chaurasia ,&nbsp;Abhai Kumar ,&nbsp;Dinesh Kumar","doi":"10.1016/j.bosn.2024.10.001","DOIUrl":"10.1016/j.bosn.2024.10.001","url":null,"abstract":"<div><h3>Background</h3><div>The prevalence of Type-2 Diabetes Mellitus (T2DM) is rising rapidly among the elderly due to age-related metabolic changes. Older adults with T2DM have a 50–65 % increased risk of developing cognitive impairment, particularly mild cognitive impairment (MCI), which may progress to neurodegenerative conditions like Alzheimer's disease (AD). Recent studies underscore the significant roles of mitochondrial dysfunction, disrupted glutamate-glutamine cycling, hyperglycemia, and hyperprolinemia in cognitive decline. These interconnected metabolites—glucose, glutamine, glutamate, and proline—are potential targets for understanding the relationship between T2DM and cognitive impairment.</div></div><div><h3>Material and method</h3><div>The present targeted NMR based metabolomics study aims to compare the blood plasma/serum metabolic profiles of these four metabolites in age and sex matched MCI (N = 27) and T2DM patients (N = 38) with respect to normal control (NC, N = 23) subjects. The metabolic profiling was performed using ¹ H NMR spectroscopy.</div></div><div><h3>Results</h3><div>Compared to NC group, both T2DM and MCI groups exhibited elevated glucose levels. Circulatory glucose and glutamine levels were significantly higher in T2DM subjects than in MCI and NC subjects, while glutamate levels followed a similar trend in both T2DM and MCI groups. However, in MCI patients, circulatory levels of proline, proline-to-glutamine (PQR) and glutamate-to-glutamine ratio (EQR) were significantly elevated compared to T2DM, while circulatory glutamine was significantly reduced.</div></div><div><h3>Conclusion</h3><div>The decreased circulatory levels of glutamine and PQR demonstrated statistically significant correlation with the severity of the cognitive impairment as assessed based on Mini Mental State Examination (MMSE) score suggested augmented utilization of glutamine in MCI patients and accumulation of proline due to active neuro-inflammatory processes and impaired mitochondrial functioning in MCI brain.</div></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 64-74"},"PeriodicalIF":0.0,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142552772","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling Alzheimer's disease using cerebral organoids: Current challenges and prospects","authors":"Ayodeji Zabdiel Abijo ,&nbsp;Sunday Yinka Olatunji ,&nbsp;Stephen Taiye Adelodun ,&nbsp;Moses Oluwasegun Asamu ,&nbsp;Noah Adavize Omeiza","doi":"10.1016/j.bosn.2024.09.001","DOIUrl":"10.1016/j.bosn.2024.09.001","url":null,"abstract":"<div><div>“Brain organoids”, “cerebral organoids” or “mini-brains” are the terms that have been frequently used to describe self-organizing 3D structures which could be derived from embryonic stem cells (ESCs), adult stem cells, or induced pluripotent stem cells (iPSCs). The fact that certain cell types could be reprogrammed to study some aspects of brain development and certain disease conditions has advanced our understanding of brain development in health and disease. Human brain development is somewhat intriguing, however, complex, sharing close similarities with both primate and rodent brain development, despite species heterogeneity. The <em>in-vivo</em> and <em>in-vitro</em> models have been used over time to study the development of the brain in health and disease states. The <em>in-vitro</em> system being a monolayer system is unable to recapitulate some essential aspects of human brain development and even certain disease conditions like microcephaly, Alzheimer's disease (AD), and Frontotemporal dementia (FTD) to mention a few, because of the complex pathophysiology of these diseases. Based on this premise, recent studies are now beginning to examine the role of patient-derived human tissues reprogrammed into stem cells with the ability to organize into 3D cerebral organoids in studying and understanding the complex nature of neurodegenerative diseases which have been difficult to model <em>in-vitro</em> and <em>in-vivo</em>. Here, we highlight evidence of patient-derived brain organoids in modeling Alzheimer’s disease, providing evidence on the current challenges and prospects in growing cerebral organoids and some approaches that have been developed to overcome these challenges.</div></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 53-63"},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949921624000073/pdfft?md5=dcae5fa363f6f807831f508b3b244f05&pid=1-s2.0-S2949921624000073-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142316251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mapping brain networks and cognitive functioning after stroke: A systematic review","authors":"Anna Tsiakiri ,&nbsp;Christos Giantsios ,&nbsp;Pinelopi Vlotinou ,&nbsp;Anna Nikolaidou ,&nbsp;John Atanbori ,&nbsp;Behnaz Sohani ,&nbsp;Aliyu Aliyu ,&nbsp;Anastasia Mournou ,&nbsp;Eleni Peristeri ,&nbsp;Christos Frantzidis","doi":"10.1016/j.bosn.2024.08.001","DOIUrl":"10.1016/j.bosn.2024.08.001","url":null,"abstract":"<div><p>Stroke, the second leading cause of death, exhibits no significant sex differences and primarily affects the elderly, with sociodemographic and income factors playing a role. Lifestyle patterns, including elevated blood pressure, weight, glucose levels, air pollution exposure, smoking, and nutrition, contribute to stroke risk. Stroke's impact on the brain's functional and structural integrity leads to cognitive deficits and challenges in daily activities. Rehabilitation is crucial for functional recovery. This review explores the association between brain networks and behavioral deficits post-stroke, aiming to establish a cartographic approach for predicting rehabilitation outcomes. Methodologically, a systematic review following PRISMA-ScR guidelines was conducted, searching PUBMED and SCOPUS for relevant studies from 2003 to 2023. The synthesis of 29 studies reveals insights into language, comprehension, general cognition, praxis, and complex cognitive abilities after stroke. Language recovery involves networks like the presupplementary motor area, Default Mode Network, and sensorimotor integration. Comprehension deficits result from focal lesions and left hemisphere stroke, with connectivity training showing potential. General cognition studies emphasize the role of working memory, connectivity patterns predicting ischemic attacks, and cognitive impairment post-subtentorial strokes. Praxis studies highlight the importance of spared left hemisphere regions, interhemispheric connectivity, and cognitive mechanisms in complex figure copying tasks. The intricate relationship between complex cognitive abilities and brain networks is explored, revealing the impact of damage on verbal creativity, mental state judgments, affordance-based processing, and beta-band phase synchronization in memory retrieval. Strengths include a systematic search strategy and inclusion of original English studies. Limitations include the lack of statistical analysis due to heterogeneity and varying methodologies. The synthesis underscores the shift toward understanding brain function through network perspectives, combining neuroimaging with neuropsychological assessments. The integration of artificial intelligence offers promise in processing complex datasets. Future implications involve standardizing methodologies, interdisciplinary collaboration, and leveraging AI for personalized interventions, with broad applications in clinical, research, and policy domains.</p></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 43-52"},"PeriodicalIF":0.0,"publicationDate":"2024-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949921624000061/pdfft?md5=60e2a018a112c6f97fc7e8ce3ab19ba1&pid=1-s2.0-S2949921624000061-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142149611","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Studying estrogen effects in an in vitro-model of traumatic brain injury (TBI)","authors":"Houman Hemmat ,&nbsp;Lisanne Bongarts ,&nbsp;Paula Meiringer ,&nbsp;Roland A. Bender","doi":"10.1016/j.bosn.2024.07.001","DOIUrl":"10.1016/j.bosn.2024.07.001","url":null,"abstract":"<div><p>In traumatic brain injury (TBI), mechanical forces trigger a series of detrimental processes in the affected brain, which eventually result in substantial neuronal death. TBI has thus become a leading cause of death and disability worldwide. Here we utilized organotypic hippocampal slice cultures from mice to simulate mild diffuse TBI, the most common type, <em>in vitro</em>. We specifically used this model to examine the potential of 17β-estradiol (E2), which is considered to be neuroprotective, to influence injury-induced events, such as astrocyte and microglia activation, and to reduce cell death, if applied acutely after TBI. We found that established consequences of mechanical brain injury are replicated in the model, as increased apoptosis was observed 8 h and PI-uptake was significantly enhanced 24 h after <em>in vitro</em> TBI in CA1 pyramidal layer. GFAP expression was not overall increased, but correlated with cell death, indicating a confined activation of astrocytes associated with cell injury. Similarly, no general increase of microglia was detected, but activated microglia was observed in the vicinity of dying cells. Notably, application of E2 (20 nM) increased GFAP expression after 48 h, but did not significantly reduce cell death at any of the studied time points. We conclude that the presented <em>in vitro</em> TBI model is generally suited to study processes triggered by diffuse mechanical forces acting on brain tissue. Our data further support a stimulating effect of E2 on GFAP expression in astrocytes, but they do not confirm a neuroprotective role of E2 in the early phase of TBI.</p></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 31-42"},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S294992162400005X/pdfft?md5=de6f0fc05caec4de2bf2bf309642750d&pid=1-s2.0-S294992162400005X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141950431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring motor cortex functional connectivity in Parkinson's disease using fNIRS","authors":"Edgar Guevara ,&nbsp;Eleazar Samuel Kolosovas-Machuca ,&nbsp;Ildefonso Rodríguez-Leyva","doi":"10.1016/j.bosn.2024.04.001","DOIUrl":"https://doi.org/10.1016/j.bosn.2024.04.001","url":null,"abstract":"<div><p>This work proposes using functional Near-Infrared Spectroscopy (fNIRS) as a non-invasive alternative to study the motor cortex's functional connectivity in Parkinson’s Disease (PD). The bilateral motor regions were covered with the fNIRS probe, and graph theoretical network analysis and network-based statistics were applied to investigate differences in network topology and specific sub-networks between groups. Small-world properties like clustering coefficient, characteristic path length, and small-world index were computed and compared between PD patients and controls across various sparsity thresholds. PD patients exhibited a lower clustering coefficient and small-world index than controls. Network-based statistics identified a disconnected, mostly bilateral subnetwork in the PD group comprising nine edges and ten nodes. Mean functional connectivity was positively correlated with both groups' clustering coefficient and small world index, albeit this correlation was greater in the control group. A strong coupling between these two properties suggests that greater functional connectivity within the subnetwork may cause a more effective functional motor network in controls. The results provide insights into alterations in functional connectivity and network organization in the motor cortex of individuals with PD, demonstrating the potential of fNIRS for studying the neural basis of symptoms in this disease.</p></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 23-30"},"PeriodicalIF":0.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949921624000048/pdfft?md5=83d250d2e6d9149f67979658d0b2367b&pid=1-s2.0-S2949921624000048-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140631634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Personalized user authentication system using wireless EEG headset and machine learning","authors":"Tron Baraku ,&nbsp;Christos Stergiadis ,&nbsp;Simos Veloudis ,&nbsp;Manousos A. Klados","doi":"10.1016/j.bosn.2024.03.003","DOIUrl":"https://doi.org/10.1016/j.bosn.2024.03.003","url":null,"abstract":"<div><p>In the realm of authentication, biometric verification has gained widespread adoption, especially within high-security user authentication systems. Although convenient, existing biometric systems are susceptible to a number of security vulnerabilities, including spoofing tools such as gummy fingers for fingerprint systems and voice coders for voice recognition systems. In this regard, brainwave-based authentication has emerged as a novel form of biometric scheme that has the potential to overcome the security limitations of existing systems while facilitating additional capabilities, such as continuous user authentication. In this study, we focus on a data-driven approach to Electroencephalography (EEG)-based authentication, guided by the power of machine learning algorithms. Our methodology addresses the fundamental challenge of distinguishing real users from intruders by training classification algorithms to the unique EEG signatures of every individual. The system is characterized by its convenience, ensuring real-time applicability without compromising its efficiency. By employing a commercially available single-channel EEG sensor and extracting a set of 8 power spectral features (delta [0–4 Hz], theta [4–8 Hz], low alpha [8–10 Hz], high alpha [10–12 Hz], low beta [12–20 Hz], high beta [20–30 Hz], low gamma [30–60 Hz], high gamma [60–100 Hz]), a commendable mean accuracy of 85.4% was achieved.</p></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 17-22"},"PeriodicalIF":0.0,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949921624000036/pdfft?md5=9b787ca7af4f85e21fd52236d2baf78d&pid=1-s2.0-S2949921624000036-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140549559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Charting paths to recovery: Navigating traumatic brain injury comorbidities through graph theory–exploring benefits and challenges","authors":"Shyam Kumar Sudhakar,&nbsp;Kaustav Mehta","doi":"10.1016/j.bosn.2024.03.002","DOIUrl":"10.1016/j.bosn.2024.03.002","url":null,"abstract":"<div><p>Traumatic brain injuries (TBIs) are characterized by widespread complications that exert a debilitating effect on the well-being of the affected individual. TBIs are associated with a multitude of psychiatric and medical comorbidities over the long term. Furthermore, no medications prevent secondary injuries associated with a primary insult. In this perspective article, we propose applying graph theory via the construction of disease comorbidity networks to identify high-risk patient groups, offer preventive care to affected populations, and reduce the disease burden. We describe the challenges associated with monitoring the development of comorbidities in TBI subjects and explain how disease comorbidity networks can reduce disease burden by preventing disease-related complications. We further discuss the various methods used to construct disease comorbidity networks and explain how features derived from a network can help identify subjects who might be at risk of developing post-traumatic comorbidities. Lastly, we address the potential challenges of using graph theory to successfully manage comorbidities following a TBI.</p></div>","PeriodicalId":100198,"journal":{"name":"Brain Organoid and Systems Neuroscience Journal","volume":"2 ","pages":"Pages 10-16"},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2949921624000024/pdfft?md5=9b493993309927962a8ce75a9a1bf518&pid=1-s2.0-S2949921624000024-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140405895","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}