International Journal of Neuroscience最新文献

{"title":"The effect of the concurrent use of Dexmedetomidine (DEX) during the perioperative period on the renal function of patients following craniocerebral interventional surgery.","authors":"Lu Qian, Nianqiang Hu, Yijin Yu","doi":"10.1080/00207454.2024.2335530","DOIUrl":"10.1080/00207454.2024.2335530","url":null,"abstract":"<p><strong>Background: </strong>Craniocerebral interventional surgery is a common and essential treatment for cerebrovascular diseases. Despite continuous progress in interventional diagnosis and treatment technology, there is no effective method to alleviate contrast-induced kidney injuries. In this retrospective cohort study, we investigated the effect of the concurrent use of Dexmedetomidine (DEX) during the perioperative period on the renal function of patients following craniocerebral interventional surgery.</p><p><strong>Methods: </strong>We identified 228 cases of patients underwent craniocerebral interventional surgery from January 2018 to March 2022. Patients who used DEX during general anesthesia were in the DEX group (DEX group) or that did not use dexmedetomidine as the control group (CON group). The markers of kidney injury were recorded before and within 48 h after surgery.</p><p><strong>Results: </strong>Compared with CON group, the urea nitrogen (BUN) of the DEX group decreased significantly on the first day and the second day after surgery (<i>p</i> < 0.05). The serum cystatin-C and the blood urea nitrogen/creatinine ratio (BUN/Cr) was significantly lower than that in CON group on the second day (<i>p</i> < 0.05). The urine output in the DEX group increased significantly, and the mean arterial pressure (MAP) was higher than the CON group (<i>p</i> < 0.01). There was no difference in postoperative complications, ICU stay time and hospitalization time between the two groups.</p><p><strong>Conclusion: </strong>The combined use of dexmedetomidine in general anesthesia for craniocerebral interventional surgery can reduce BUN levels within 48 h after surgery, significantly increase intraoperative urine volume, maintain intraoperative circulation stability.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"851-862"},"PeriodicalIF":1.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140206840","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":"Navigating autism treatment: unlocking new frontiers with ChatGPT.","authors":"Muhammad Moin Ashraf, Ibtehaj Ul-Haque, Navpreet Kaur Sangha","doi":"10.1080/00207454.2024.2341912","DOIUrl":"10.1080/00207454.2024.2341912","url":null,"abstract":"<p><p>Autism Spectrum disorder is a significant neurodevelopmental behavioral disorder. Children with Autism display a wide array of ambiguous symptoms resulting making the diagnosis quite challenging thus resulting in delayed management. Traditionally, its diagnosis and management require the collaboration of services from the three P's namely the pediatrician, psychiatrist, and child psychologist. The management requires an intensive multi-disciplinary approach which would help minimize the disease symptoms and facilitate development and learning during childhood.</p><p><p>Recently, with the advent of widespread testing and usage of various artificial intelligence tools across various domains, AI tools such as Chatbots are being incorporated into medical treatments, especially in behavioral therapy. Considering the increasing use of AI, we believe that the natural language processing techniques employed by ChatGPT algorithms have the potential to identify speech and linguistic patterns in children with ASD. Therefore, through this letter, we have tried to explore the scope of Artificial intelligence (ChatGPT) for behavioral therapy in children affected with autism spectrum disorder.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"917-918"},"PeriodicalIF":1.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140957268","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":"Analysis of predictive factors in surgical treatment of intractable epilepsy caused by focal cortical dysplasia in children.","authors":"Jixue Yang, Dongming Li, Zhentao Li, Haiyan Wang, Yan Dong, Xiaoli Zhang","doi":"10.1080/00207454.2024.2338253","DOIUrl":"10.1080/00207454.2024.2338253","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to analyze key factors affecting the surgical outcome of children with intractable epilepsy caused by focal cortical dysplasia, providing more effective clinical guidance.</p><p><strong>Methods: </strong>We conducted a study from March 2019 to February 2021, selecting 80 children with intractable epilepsy caused by focal cortical dysplasia who underwent surgical treatment. Comprehensive inclusion criteria were met. We collected general information and treatment outcomes before and after surgery, with a two-year postoperative follow-up. Patients were categorized into good and poor outcome groups based on outcomes. Various factors including pathological types, age of onset, seizure frequency, and extent of resection were selected as variables. Logistic regression analysis investigated predictive factors.</p><p><strong>Results: </strong>Engel class I included 53 cases, class II had 16 cases, class III had 9 cases, and class IV had 2 cases. Thus, 53 cases were in the good outcome group, and 27 in the poor outcome group. General data showed no significant differences between the groups (<i>p</i> > 0.05). Single-factor analysis revealed statistically significant risk factors: FCD classification, MRI results, age of onset, seizure frequency, and extent of resection (<i>p</i> < 0.05). Logistic multifactor analysis indicated seizure frequency. acute postoperative seizures (APSO) and extent of resection as independent influencing factors (<i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>Seizure frequency, extent of resection, and APSO are key independent factors for surgical outcome in children with intractable epilepsy caused by focal cortical dysplasia. Clinicians should consider these factors when planning treatment to improve success rates and outcome, enhancing quality of life for affected children.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"873-879"},"PeriodicalIF":1.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140335559","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":"Risk factors and characteristics analysis of cognitive impairment in patients with cerebral infarction during recovery period.","authors":"Yan Li, Wenjuan Geng, Xiaomeng Zhang, Baobin Mi","doi":"10.1080/00207454.2024.2336189","DOIUrl":"10.1080/00207454.2024.2336189","url":null,"abstract":"<p><strong>Objective: </strong>To analyze the risk factors and characteristics of cognitive impairment in patients with cerebral infarction during the recovery period.</p><p><strong>Methods: </strong>This retrospective case-control study included 183 patients with cerebral infarction in the recovery period. According to the MMSE score, they were divided into a cognitive impairment group of 79 cases and a cognitive normal group of 104 cases. Collect clinical data from all patients, including age, gender, body mass index, laboratory test results, past medical history, National Institute of Health Stroke Scale (NIHSS) score, modified Barthel index, Oxfordshire Community Stroke Project (OCSP) classification, and number of infarcted lesions. Multiple logistic regression analysis was used to identify risk factors related to cognitive impairment in patients with cerebral infarction.</p><p><strong>Result: </strong>There were significant differences (<i>p</i> < 0.05) between the cognitive impairment group and the cognitive normal group in terms of age, body mass index, low-density lipoprotein level, NIHSS score, modified Barthel index, and number of infarcted lesions. Multivariate logistic regression analysis showed that age ≥ 65 years, stroke, carotid artery plaques, NIHSS score ≥ 5, anterior circulation infarction type, and multiple infarcted lesions were important risk factors for cognitive impairment.</p><p><strong>Conclusion: </strong>Elderly age, presence of carotid artery plaques, high NIHSS score, multiple infarct lesions, and specific infarct types are important risk factors for cognitive dysfunction in patients during the recovery period of cerebral infarction.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"863-868"},"PeriodicalIF":1.5,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140305589","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 signal analysis for the classification of Alzheimer's and frontotemporal dementia: a novel approach using artificial neural networks and cross-entropy techniques.","authors":"Fatma Latifoğlu, Fırat Orhanbulucu, Murugappan Murugappan, Sümeyye Nur Gürbüz, Burçin Çayır, Fatma Zehra Avcı","doi":"10.1080/00207454.2025.2529301","DOIUrl":"10.1080/00207454.2025.2529301","url":null,"abstract":"<p><p>Dementia, a neurological disorder, can cause cognitive decline due to damage to the brain. Our study aims to contribute to the development of computer-aided diagnosis (CAD) systems to aid in the early diagnosis of Alzheimer's disease (AD) and frontotemporal dementia (FTD) by examining Electroencephalogram (EEG) signals. EEG signals of 36 AD, 23 FTD and 29 healthy control (HC) participants were analyzed and entropy measurement approaches were used to analyze the connectivity between EEG channel pairs. The cross-permutation entropy (CPE) method and the cross conditional entropy (CCE) method were analyzed separately and the fused cross entropy (FCE) method was also tested by combining these techniques to determine the most appropriate method for feature extraction from EEG signals. The features obtained from these techniques were then evaluated in the classification phase using two separate machine learning algorithms. According to the performance evaluation criteria, the FCE and artificial neural network (ANN) model showed the most successful performance in the classification of all groups. In terms of area under the curve (AUC) and accuracy rates, 99.85% AUC and 98.46% accuracy were obtained in AD&HC groups, 99.71% AUC and 98.10% accuracy in FTD&HC groups and 99.39% AUC, 96.61% accuracy in AD&FTD groups. With the same model, an AUC rate of 97.14% and accuracy rate of 73.86% was obtained for the classification of the triple group (AD&FTD&HC). It has been observed that the results of this study show successful performance compared to the results of similar studies.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-14"},"PeriodicalIF":1.7,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144575425","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":"Bilateral adduction palsy with a paramedian midbrain lesion is most likely wall-eyed bilateral oculomotor subnuclear ophthalmoplegia: a case report of a brainstem infarction.","authors":"Tsutomu Yasuda, Sho Fujiwara, Akihiko Shimomura, Ayaka Chikada, Noritoshi Arai","doi":"10.1080/00207454.2025.2534403","DOIUrl":"10.1080/00207454.2025.2534403","url":null,"abstract":"<p><p>A 73-year-old female was hospitalized in our Department of Neurology for diplopia due to multiple infarctions in the midbrain and pons. A neurological examination revealed bilateral adduction palsy during horizontal gaze with nystagmus of the contralateral abducting eye. Exotropia and impaired convergence were also noticed. The distinctive symptoms indicated wall-eyed bilateral internuclear ophthalmoplegia (WEBINO). We speculate that the cause of WEBINO in our case was bilateral medial rectus palsy <i>via</i> bilateral damage to the medial rectus subnuclei (MRSN) due to the paramedian midbrain infarction. We propose that bilateral adduction palsy with impaired convergence due to bilateral MRSN impairment, such as in our case, should be given a more appropriate name because we speculate that it is not 'internuclear ophthalmoplegia'. 'WEBOSO' (wall-eyed bilateral oculomotor subnuclear ophthalmoplegia) may be a more appropriate name.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-4"},"PeriodicalIF":1.7,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144618057","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":"Alterations in gut microbiota and plasma metabolites in patients with generalized anxiety disorder: a multi-omics study.","authors":"Yi Li, Jinhe Dai, Mengshu Wang, Chuming Yan, Meihong Xiu, Miao Qu","doi":"10.1080/00207454.2025.2529238","DOIUrl":"10.1080/00207454.2025.2529238","url":null,"abstract":"<p><strong>Objective: </strong>Microecological and metabolic disorders of the gut may be involved in the pathogenesis of generalized anxiety disorder (GAD), but clinical multi-omics evidence of this is lacking. Our study aimed to investigate characteristic alterations in the gut microbiota and plasma metabolome of patients with GAD and evaluate their clinical diagnostic value.</p><p><strong>Patients and methods: </strong>Ninety subjects (60 patients with GAD and 30 healthy volunteers) were included. We employed 16S rRNA gene sequencing to characterize the gut microbiota and targeted liquid chromatography-mass spectrometry to analyze plasma metabolomic profiles.</p><p><strong>Results: </strong>GAD was associated with increased abundances of <i>Actinobacteria</i>, <i>Bacteroidetes</i>, and <i>Escherichia-Shigella</i> and decreased abundances of <i>Firmicutes</i>, <i>Roseburia</i>, <i>Bifidobacterium</i>, and <i>Prevotellaceae_Prevotella</i>. Metabolomic analysis revealed 19 differential metabolites (upregulated in GAD: e.g. glutamic acid, cortisol; downregulated in GAD: e.g. γ-aminobutyric acid, serotonin). Enriched metabolic pathways included phenylalanine, tyrosine, and tryptophan biosynthesis; alanine, aspartate, and glutamate metabolism; and the biosynthesis of unsaturated fatty acids. Notably, microbiome-metabolome combined analysis revealed a significant correlation between intestinal flora disorders and changes in the plasma metabolic profile. The diagnostic model constructed based on the combined omics data exhibited excellent discriminatory efficacy, with areas under curve of 0.710, 0.986, and 0.997 for the microbiome, metabolome, and combined model, respectively.</p><p><strong>Conclusion: </strong>This study revealed the characteristic gut microbiome-plasma metabolome covariation pattern of GAD and identified biomarker combinations with potential diagnostic value. The identified biomarker group provides new insights into the gut-brain axis mechanism of GAD, providing important theoretical support for clarifying the pathogenesis of GAD and developing precise diagnosis strategies.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-18"},"PeriodicalIF":1.7,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540107","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":"The effect of transcranial direct current stimulation (tDCS) and oxytocin on food craving and weight control in obese individuals with food addiction: a double-blind clinical trial.","authors":"Ali Mehranpour, Zakaria Eskandari, Jalal Hejazi, Taraneh Gazori, Ehsan Saboory","doi":"10.1080/00207454.2025.2523323","DOIUrl":"10.1080/00207454.2025.2523323","url":null,"abstract":"<p><strong>Background and aims: </strong>Obesity has become a major public health burden worldwide due to the significant social and economic impacts of its associated comorbidities. Despite substantial advancements in obesity research, its prevalence continues to rise, and weight loss remains a persistent challenge despite numerous weight management programs. Food addiction has emerged as a novel factor contributing to obesity, garnering considerable attention. Some individuals consume specific foods in quantities exceeding their physiological needs, indicating a lack of control over their eating behavior. This study aimed to examine the possible synergistic effects of novel interventions (tDCS and oxytocin) on weight loss and food craving symptoms in obese individuals with food addiction.</p><p><strong>Design: </strong>This randomized clinical trial study was conducted on obese individuals with food addiction.</p><p><strong>Participants: </strong>Sixty individuals of both genders with obesity (BMI ≥ 30).</p><p><strong>Setting: </strong>Participants were selected through purposive sampling and randomly assigned to four groups (19 participants each).</p><p><strong>Intervention(s): </strong>Oxytocin nasal spray, Transcranial Direct Current Stimulation (tDCS), combined oxytocin & tDCS, and sham groups treated for 15 days.</p><p><strong>Measurements: </strong>Body weight and food craving symptoms before and after treatment.</p><p><strong>Comments: </strong>All three experimental interventions significantly improved weight control and food craving symptoms. No significant difference was observed between the mean scores of the tDCS and oxytocin groups. However, the combined tDCS and oxytocin group demonstrated significant differences compared to the other three groups. It can be concluded that the simultaneous application of two therapeutic approaches has a synergistic effect and can be effectively utilized in treating individuals with food addiction.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-13"},"PeriodicalIF":1.7,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144368857","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 neuroeconomic theory of obsessive-compulsive disorder.","authors":"Anıl Şafak Kaçar, Ahmed A Moustafa, Mubashir Hassan, Mustafa Zeki, Fuat Balcı","doi":"10.1080/00207454.2025.2529226","DOIUrl":"10.1080/00207454.2025.2529226","url":null,"abstract":"<p><p>While there are many studies on the neural bases of obsessive-compulsive disorder (OCD), there is a dire need for a neurocomputational framework to explain its symptoms. To this end, we use the Expected Value of Control (EVC) theory to conceptualize the information processing deficits underlying OCD. Specifically, we argue that when experiencing obsessions, weak cognitive control is favored due to the affective cost of disregarding anxiety-provoking obsessions (akin to ignoring a fire alarm). This affective cost leads to the overvaluation of the cost of cognitive control (deeming it expensive), favoring automatic responses in the form of compulsions. We also exercise other ways by which OCD symptoms can be explained within the same theoretical framework. We ground our EVC-based neuroeconomic account in different neural systems implicated in OCD, including the orbitofrontal cortex, dorsal anterior cingulate cortex (dACC), dorsolateral prefrontal cortex, and basal ganglia, which refer to different EVC constituents. Finally, we argue that input from the bed nucleus of the stria terminalis to dACC introduces the key affective cost information to the estimation of EVC.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-17"},"PeriodicalIF":1.7,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144560052","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":"Causal associations between neuroinflammation-related genes and intracerebral hemorrhage: an integrated study of Mendelian Randomization and gene functional analysis.","authors":"Quanming Zhou, Shejuan Wu, Yuanbao Kang","doi":"10.1080/00207454.2025.2529232","DOIUrl":"10.1080/00207454.2025.2529232","url":null,"abstract":"<p><strong>Aim: </strong>Intracerebral hemorrhage (ICH) is a life-threatening stroke subtype where neuroinflammation plays a crucial role. However, the genetic basis for neuroinflammation in ICH remains unclear.</p><p><strong>Methods: </strong>This study used Mendelian Randomization (MR) to investigate the causal impact of neuroinflammation-related genes on ICH risk. A two-sample MR analysis was conducted using genetic variants from large-scale genome-wide association studies (GWAS). The primary analytical methods included the inverse variance weighted (IVW) approach, supplemented by MR-Egger regression and the weighted median method. Protein-protein interaction (PPI) network analysis, Gene Ontology (GO) enrichment analysis, and Gene Set Enrichment Analysis (GSEA) were employed to explore the biological mechanisms underlying these associations.</p><p><strong>Results: </strong>Elevated expression of the CHUK gene was significantly associated with increased ICH risk (OR = 1.17, 95% CI 1.02-1.35, <i>p</i> = 0.0245 in the Ebi-ICH dataset; OR = 1.25, 95% CI 1.03-1.52, <i>p</i> = 0.0252 in the Finn-ICH dataset). Similarly, the CTLA4 gene showed a strong association with ICH (OR = 1.29, 95% CI 1.10-1.52, <i>p</i> < 0.01 in the Ebi-ICH dataset; OR = 1.23, 95% CI 1.02-1.47, <i>p</i> = 0.0264 in the Finn-ICH dataset). These results suggest that these genes contribute to ICH through mechanisms involving the NF-κB signaling pathway and immune regulation.</p><p><strong>Conclusion: </strong>The findings reveal a significant genetic influence of CHUK and CTLA4 on ICH risk, provide potential targets for future therapeutic interventions, which could lead to the development of more effective treatment strategies for ICH.</p>","PeriodicalId":14161,"journal":{"name":"International Journal of Neuroscience","volume":" ","pages":"1-11"},"PeriodicalIF":1.7,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144540108","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}