Behavioural Neurology最新文献_第9页

Effects of Acupuncture and Rehabilitation Training on Limb Movement and Living Ability of Patients with Hemiplegia after Stroke. 针刺与康复训练对脑卒中后偏瘫患者肢体运动及生活能力的影响。

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2022-01-01 DOI: 10.1155/2022/2032093

Juhua Zhang, Yingmei Mu, Yunxia Zhang

{"title":"Effects of Acupuncture and Rehabilitation Training on Limb Movement and Living Ability of Patients with Hemiplegia after Stroke.","authors":"Juhua Zhang, Yingmei Mu, Yunxia Zhang","doi":"10.1155/2022/2032093","DOIUrl":"https://doi.org/10.1155/2022/2032093","url":null,"abstract":"Stroke is a disease with a high disability rate, having a serious impact on that patient's working and daily survival quality and bringing economic burden to the family and society. Patients with stroke hemiplegia are mostly tetraplegic and have difficulty regulating their balance, and their long-term symmetry has been destroyed. The application in the rehabilitation process of acupuncture in patients with hemorrhagic stroke may produce unexpected effects. It is very effective to study the effect of acupuncture combined with rehabilitation training on limb movement and patient survival. It is very helpful in improving normal motor function and normal life, increasing joint mobility and muscle strength, and reducing muscle tension. In this paper, it is found that the observational group has a complication rate of 2.13%, in contrast to 17.02% as in the group of control, and the pin-prick combined with a rehabilitative training makes a significant improvement to the patients. This study provides suggestions for the study to investigate acupuncture combined with recovery exercise on limb movement and living capacities of people with stroke paraparesis.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2022 ","pages":"2032093"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9072040/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10370343","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: 10

Verbal Reasoning Impairment in Parkinson's Disease. 帕金森病的语言推理障碍。

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2022-01-01 DOI: 10.1155/2022/3422578

Antonina Luca, Giulia Donzuso, Concetta D'Agate, Claudio Terravecchia, Calogero Cicero Edoardo, Giovanni Mostile, Giorgia Sciacca, Alessandra Nicoletti, Mario Zappia

{"title":"Verbal Reasoning Impairment in Parkinson's Disease.","authors":"Antonina Luca, Giulia Donzuso, Concetta D'Agate, Claudio Terravecchia, Calogero Cicero Edoardo, Giovanni Mostile, Giorgia Sciacca, Alessandra Nicoletti, Mario Zappia","doi":"10.1155/2022/3422578","DOIUrl":"https://doi.org/10.1155/2022/3422578","url":null,"abstract":"Background: The aim of this study was to assess verbal reasoning (VR) functioning in patients with Parkinson's disease (PD) and healthy controls (HCs).Methods: The non-demented PD patients and HCs matched by age and global cognition were enrolled in this study. VR was assessed with the verbal reasoning test (VRT), total score, and subsets.Results: Eighty-seven PD patients (51 men; mean age 63.8 ± 7.9 years) and 87 HCs (46 men; mean age 63.7 ± 8.0 years) were enrolled. At univariate analysis, PD patients presented a significantly lower score in the VRT subset classification (12.3 ± 2.1) than HCs (12.9 ± 1.7) with an odds ratio (OR) of 0.8 (95% confidence interval [CI] 0.70-0.98; p = 0.003). The strength of association was also confirmed at multivariate analysis (OR = 0.8, 95% CI 0.70-0.98; p = 0.003). Moreover, in PD patients, a statistically significant positive correlation was found between VRT-classification and MoCA scores (r = 0.330; p = 0.002).Conclusions: PD patients presented lower VR performance than HCs.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2022 ","pages":"3422578"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759383/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10461861","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: 0

Dark Chocolate Intake May Reduce Fatigue and Mediate Cognitive Function and Gray Matter Volume in Healthy Middle-Aged Adults. 摄入黑巧克力可减轻健康中年人的疲劳，调节认知功能和灰质体积。

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2022-01-01 DOI: 10.1155/2022/6021811

Kiyotaka Nemoto, Keisuke Kokubun, Yousuke Ogata, Yasuharu Koike, Tetsuaki Arai, Yoshinori Yamakawa

{"title":"Dark Chocolate Intake May Reduce Fatigue and Mediate Cognitive Function and Gray Matter Volume in Healthy Middle-Aged Adults.","authors":"Kiyotaka Nemoto, Keisuke Kokubun, Yousuke Ogata, Yasuharu Koike, Tetsuaki Arai, Yoshinori Yamakawa","doi":"10.1155/2022/6021811","DOIUrl":"https://doi.org/10.1155/2022/6021811","url":null,"abstract":"Background: Dark chocolate has attracted attention for its potential for cognitive improvement. Though some reports indicate that dark chocolate is good for cognitive function, others raise doubts. This inconsistency in past results reflecting the relationship between dark chocolate and cognitive function indicates the potential existence of factors that mediate between dark chocolate intake and cognitive function.Methods: With the hypothesis that fatigue may be one such mediating factor, we performed a four-week randomized control study to seek a link between dark chocolate consumption, cognitive function, fatigue, and the brain in middle-aged adults.Results: We found that dark chocolate reduced mental and physical fatigue, and a path analysis revealed that it enhanced vitality, executive function, memory, and gray matter volume both directly and indirectly. Fatigue reduction was also associated with an improvement in physical function, which had a positive impact on emotional functioning, relief of bodily pain, and social functioning.Conclusions: Our results suggest that dark chocolate may help reduce fatigue in individuals, leading to improvements in brain health and various cognitive functions as well as in quality of life.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2022 ","pages":"6021811"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9767741/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10431795","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: 0

Multimodal Assessment of Changes in Physiological Indicators when Presenting a Video Fragment on Screen (2D) versus a VR (3D) Environment. 在屏幕(2D)和VR (3D)环境中呈现视频片段时生理指标变化的多模态评估。

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2022-01-01 DOI: 10.1155/2022/5346128

Elena Kriklenko, Anastasia Kovaleva, Aleksei Klimenko, Usman Dukuev, Sergey Pertsov

{"title":"Multimodal Assessment of Changes in Physiological Indicators when Presenting a Video Fragment on Screen (2D) versus a VR (3D) Environment.","authors":"Elena Kriklenko, Anastasia Kovaleva, Aleksei Klimenko, Usman Dukuev, Sergey Pertsov","doi":"10.1155/2022/5346128","DOIUrl":"https://doi.org/10.1155/2022/5346128","url":null,"abstract":"The increasing role of virtual environments in society, especially in the context of the pandemic and evolving metaverse technologies, requires a closer study of the physiological state of humans using virtual reality (VR) for entertainment, work, or learning. Despite the fact that many physiological reactions to the content presented in various modalities under VR conditions have already been described, often these studies do not reflect the full range of changes in the physiological reactions that occur to a person during their immersion in the virtual world. This study was designed to find and compare the most sensitive physiological indicators that change when viewing an emotionally intense video fragment in standard format on screen and in virtual reality conditions (in a VR helmet). The research methodology involved randomly presenting a group of subjects with visual content-a short video clip-first on screen (2D) and then in a virtual reality helmet (3D). A special feature of this study is the use of multimodal physiological state assessment throughout the content presentation, in conjunction with psychological testing of the study participants before and after the start of the study. It has been discovered that the most informative physiological indicators reflecting the subjects' condition under virtual reality conditions were changes in theta rhythm amplitude, skin conductance, standard deviation of normal RR-intervals (SDRR), and changes in photoplethysmogram (PPG). The study results suggest that in the process of immersion in a virtual environment, the participants develop a complex functional state, different from the state when watching on screen, which is characterised by the restructuring of autonomic regulation and activation of emotion structures of the brain.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2022 ","pages":"5346128"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9722301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10767609","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: 0

Chronic Inhibition of Aggressive Behavior Induces Behavioral Change in Mice. 攻击行为的慢性抑制诱导小鼠行为改变。

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2022-01-01 DOI: 10.1155/2022/7630779

Hiroshi Ueno, Yu Takahashi, Shinji Murakami, Kenta Wani, Tetsuji Miyazaki, Yosuke Matsumoto, Motoi Okamoto, Takeshi Ishihara

{"title":"Chronic Inhibition of Aggressive Behavior Induces Behavioral Change in Mice.","authors":"Hiroshi Ueno, Yu Takahashi, Shinji Murakami, Kenta Wani, Tetsuji Miyazaki, Yosuke Matsumoto, Motoi Okamoto, Takeshi Ishihara","doi":"10.1155/2022/7630779","DOIUrl":"https://doi.org/10.1155/2022/7630779","url":null,"abstract":"Suppression of anger is more common than its expression among Asian individuals. Emotional suppression is considered an unhealthy emotional regulation. Most studies on emotional suppression have concluded that suppression adversely affects social outcomes, with approximately 5% of the world's population suffering from emotional disorders. However, anger suppression has not received academic attention, and details of the effects of chronic anger suppression on the central nervous system remain unclear. In this study, we performed the resident-intruder test to investigate the effect of chronic suppression of aggressive behavior in mice using a behavioral test battery and to clarify whether suppression of this aggressive behavior is stressful for mice. Mice chronically inhibited aggressive behavior and lost weight. Mice with inhibited aggressive behavior showed a reduced percentage of immobility time during the tail suspension test as well as no changes in activity, anxiety-like behavior, muscle strength, or temperature sensitivity. This study provides scientific evidence for the effects of chronic aggressive behavior inhibition on the body and central nervous system.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2022 ","pages":"7630779"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9815925/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10564899","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: 1

Central Auditory Processing Disorder in Patients with Amnestic Mild Cognitive Impairment. 遗忘性轻度认知障碍患者的中枢性听觉加工障碍。

IF 2.8 4区医学

Behavioural Neurology Pub Date : 2022-01-01 DOI: 10.1155/2022/9001662

Ga-Young Kim, HyangHee Kim, Hee Jin Kim, Sang Won Seo, Duk L Na, Chung Mo Nam, Byoung Seok Ye, Il Joon Moon

{"title":"Central Auditory Processing Disorder in Patients with Amnestic Mild Cognitive Impairment.","authors":"Ga-Young Kim, HyangHee Kim, Hee Jin Kim, Sang Won Seo, Duk L Na, Chung Mo Nam, Byoung Seok Ye, Il Joon Moon","doi":"10.1155/2022/9001662","DOIUrl":"https://doi.org/10.1155/2022/9001662","url":null,"abstract":"Background: This study was conducted to comprehensively examine the central auditory processing (CAP) abilities of patients with amnestic mild cognitive impairment (aMCI) as well as to compare the results with cognitively normal elderly controls.Methods: A total of 78 participants were screened through pure-tone audiometry and word recognition score in order to exclude peripheral auditory dysfunction. Forty-five people passed screening tests, and 33 people failed. Finally, 25 aMCI (mean age = 71.52 ± 4.8; male : female = 24 : 76) and 20 controls (mean age = 73.45 ± 4.32; male : female = 45 : 55) were enrolled in the study. Seven CAP tests (frequency pattern test, duration pattern test, Gap-In-Noise© test, dichotic digits test, low-pass filtered word test, speech perception in noise test, and binaural fusion test) were conducted only after the two groups passed the screening. A linear mixed model was applied to analyze CAP tests except for the binaural fusion test. For the binaural fusion test, the independent t-test was used to compare the means of test score between two groups.Results: The aMCI group had a decrease in the mean score of the frequency pattern test, duration pattern test, Gaps-In-Noise© test, dichotic digits test, and speech perception in noise test compared with the control group.Conclusion: The aMCI group's CAP abilities were significantly lower than those of the control group. Thus, if the cognitive assessment and hearing evaluation are conducted in combination, the sensitivity of the diagnostic process for aMCI will be increased.","PeriodicalId":50733,"journal":{"name":"Behavioural Neurology","volume":"2022 ","pages":"9001662"},"PeriodicalIF":2.8,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779989/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10802829","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: 0

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