Behavioural Neurology最新文献_第10页

Fatigue syndrome and cognitive impairment in patients with cerebrovascular disease 脑血管病患者的疲劳综合征与认知功能障碍

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.46393/2712-9675_2021_1_36-43

O. Vorob’eva

引用次数: 0

Ensemble Classification Approach for Sarcasm Detection. 讽刺语检测的集成分类方法。

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.1155/2021/9731519

Jyoti Godara, Isha Batra, Rajni Aron, Mohammad Shabaz

{"title":"Ensemble Classification Approach for Sarcasm Detection.","authors":"Jyoti Godara, Isha Batra, Rajni Aron, Mohammad Shabaz","doi":"10.1155/2021/9731519","DOIUrl":"https://doi.org/10.1155/2021/9731519","url":null,"abstract":"Cognitive science is a technology which focuses on analyzing the human brain using the application of DM. The databases are utilized to gather and store the large volume of data. The authenticated information is extracted using measures. This research work is based on detecting the sarcasm from the text data. This research work introduces a scheme to detect sarcasm based on PCA algorithm, K-means algorithm, and ensemble classification. The four ensemble classifiers are designed with the objective of detecting the sarcasm. The first ensemble classification algorithm (SKD) is the combination of SVM, KNN, and decision tree. In the second ensemble classifier (SLD), SVM, logistic regression, and decision tree classifiers are combined for the sarcasm detection. In the third ensemble model (MLD), MLP, logistic regression, and decision tree are combined, and the last one (SLM) is the combination of MLP, logistic regression, and SVM. The proposed model is implemented in Python and tested on five datasets of different sizes. The performance of the models is tested with regard to various metrics.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2021 ","pages":"9731519"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8629652/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10018259","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}

引用次数: 9

Introduction to behavioral neurology 行为神经学概论

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.46393/2712-9675_2021_1_8-16

V. Zakharov

引用次数: 0

A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images. 基于人工智能的新型冠状病毒CT图像快速分类计算机辅助诊断系统

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.1155/2021/2560388

Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Junaid Ali Khan, Seungmin Rho, Seifedine Kadry, Venkatesan Rajinikanth

{"title":"A Rapid Artificial Intelligence-Based Computer-Aided Diagnosis System for COVID-19 Classification from CT Images.","authors":"Hassaan Haider Syed, Muhammad Attique Khan, Usman Tariq, Ammar Armghan, Fayadh Alenezi, Junaid Ali Khan, Seungmin Rho, Seifedine Kadry, Venkatesan Rajinikanth","doi":"10.1155/2021/2560388","DOIUrl":"https://doi.org/10.1155/2021/2560388","url":null,"abstract":"The excessive number of COVID-19 cases reported worldwide so far, supplemented by a high rate of false alarms in its diagnosis using the conventional polymerase chain reaction method, has led to an increased number of high-resolution computed tomography (CT) examinations conducted. The manual inspection of the latter, besides being slow, is susceptible to human errors, especially because of an uncanny resemblance between the CT scans of COVID-19 and those of pneumonia, and therefore demands a proportional increase in the number of expert radiologists. Artificial intelligence-based computer-aided diagnosis of COVID-19 using the CT scans has been recently coined, which has proven its effectiveness in terms of accuracy and computation time. In this work, a similar framework for classification of COVID-19 using CT scans is proposed. The proposed method includes four core steps: (i) preparing a database of three different classes such as COVID-19, pneumonia, and normal; (ii) modifying three pretrained deep learning models such as VGG16, ResNet50, and ResNet101 for the classification of COVID-19-positive scans; (iii) proposing an activation function and improving the firefly algorithm for feature selection; and (iv) fusing optimal selected features using descending order serial approach and classifying using multiclass supervised learning algorithms. We demonstrate that once this method is performed on a publicly available dataset, this system attains an improved accuracy of 97.9% and the computational time is almost 34 (sec).","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2021 ","pages":"2560388"},"PeriodicalIF":2.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8712188/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10391397","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}

引用次数: 18

Cognitive impairment after CovID-19 infection CovID-19感染后的认知障碍

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.46393/2712-9675_2021_1_18-26

Y. A. Starchina, N. V. Vakhnina

引用次数: 1

Description of a clinical case of a patient with transitory global amnesia 描述一个短暂性全面性失忆症患者的临床病例

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.46393/2712-9675_2021_1_44-51

D. Gromova, S. K. Volkov, V. Zakharov, D.M. Gassiyeva, A. Isaykin

引用次数: 0

Physiological and pathological forgetfulness: differential diagnosis, approaches to therapy 生理性与病理性遗忘:鉴别诊断、治疗方法

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.46393/2712-9675_2021_1_28-35

V. Zakharov, A. B. Lokshina

引用次数: 1

Small cerebral artery disease 脑小动脉疾病

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2021-01-01 DOI: 10.46393/2712-9675_2021_1_52-58

P. Kamchatnov, E. V. Mityaeva, A. Chugunov, V. F. Evzelman

引用次数: 0

Antipsychotic Drugs Reverse MK801-Inhibited Cell Migration and F-actin Condensation by Modulating the Rho Signaling Pathway in B35 Cells 抗精神病药物逆转MK801通过调节B35细胞Rho信号通路抑制细胞迁移和F-肌动蛋白缩合

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2020-11-10 DOI: 10.1155/2020/4163274

Yi-Chyan Chen, F. Tsai, Mao-Liang Chen

{"title":"Antipsychotic Drugs Reverse MK801-Inhibited Cell Migration and F-actin Condensation by Modulating the Rho Signaling Pathway in B35 Cells","authors":"Yi-Chyan Chen, F. Tsai, Mao-Liang Chen","doi":"10.1155/2020/4163274","DOIUrl":"https://doi.org/10.1155/2020/4163274","url":null,"abstract":"Background and Aim. MK801-induced psychotic symptoms and also the Ras homolog family member A (RhoA) expression and cell division control protein 42 (cdc42) mRNA modulation in the rat brain have been investigated. Antipsychotic drugs (APDs) have been reported to induce Rho GDP-dissociation inhibitor (RhoGDI) pathway regulation related to cytoskeleton reorganization in neuronal cells. It will be necessary to clarify the effects of APDs on MK801-induced RhoGDI signaling regulation in neuronal cells. Methods. B35 neuronal cells were treated with MK801 for 7 days then treated with MK801 in combination with haloperidol or clozapine for a further 7 days. Cell migration, F-actin condensation, and RhoGDI signaling regulation were examined to investigate the regulatory effects of MK801, haloperidol, and clozapine in B35 neuronal cells. Results. MK801 reduced B35 cell migration, whereas both haloperidol and clozapine reversed the reduction in cell migration induced by MK801. Haloperidol and clozapine restored F-actin condensation after it was diminished by MK801 in B35 cell nuclei. MK801 increased the RhoGDI1 and RhoA expression, which was diminished by the addition of haloperidol and clozapine. MK801 reduced the CDC42 expression, which was restored by haloperidol and clozapine. MK801 reduced the Rho-associated coiled-coil containing protein kinase 1 (ROCK1), profilin1 (PFN1), and neuronal Wiskott–Aldrich Syndrome protein (N-WASP) expression, which was further reduced by haloperidol and clozapine. MK801 also increased the phosphorylated myosin light chain 2 (p-MLC2), postsynaptic density protein 95 (PSD-95), and c-jun expression, which was decreased by haloperidol and clozapine. p21 (RAC1-) activated kinase 1 (PAK1) expression was not affected by MK801.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":" ","pages":""},"PeriodicalIF":2.8,"publicationDate":"2020-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47895001","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}

引用次数: 4

The Influence of Depression and Anxiety on Neurological Disability in Multiple Sclerosis Patients 抑郁和焦虑对多发性硬化患者神经功能障碍的影响

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2020-07-03 DOI: 10.1155/2020/6738645

V. Vacaras, V. Văcăraș, Cristina Nistor, D. Văcăraș, A. Opre, Petronela Blaga, D. Muresanu

{"title":"The Influence of Depression and Anxiety on Neurological Disability in Multiple Sclerosis Patients","authors":"V. Vacaras, V. Văcăraș, Cristina Nistor, D. Văcăraș, A. Opre, Petronela Blaga, D. Muresanu","doi":"10.1155/2020/6738645","DOIUrl":"https://doi.org/10.1155/2020/6738645","url":null,"abstract":"Multiple sclerosis (MS) is a demyelinating disease of the central nervous system (CNS), affecting mostly young-aged people. As a chronic incurable disease, in most cases, it can lead to progressive neurological impairment and severe disability. Depression and anxiety are major distress factors for MS patients, being considerably aggravating elements for their functional capacity. In this study, we analysed the mood disorder distribution and the possible correlations between depression, anxiety, automatic negative thoughts, and MS disability. We took into consideration 146 MS patients, who completed a series of questionnaires: Beck Depression Inventory II (BDI-II), Endler Multidimensional Anxiety Scales-State (EMAS-S), and Automatic Thoughts Questionnaire (ATQ). The Expanded Disability Status Scale (EDSS) was used to measure the neurological disability. Of all patients, 30.1% had symptoms for depression and 11% presented suicidal thoughts. After analysing the correlation index between each variable, we found that there is a mild positive correlation between depression and the EDSS score and between anxiety and the EDSS score. A difference is found in the test scores according to the type of the MS disease. Also, automatic negative thoughts are strongly correlated with depression and anxiety, but do not mediate the path between psychological comorbidities and neurological impairment. Sociodemographic features and interferon-beta treatment were not related to the intensity of the mood disorders. The study suggests that depression and anxiety are frequently encountered among MS patients and these mental disfunctions have an impact on their disability. A proper identification of these risk factors may improve the quality of life for these patients.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"1 1","pages":""},"PeriodicalIF":2.8,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1155/2020/6738645","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47573627","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}

引用次数: 10