{"title":"A review on the models and evaluating tests of the spinal cord injury in rats","authors":"Gh Rahmani, Hamze Mirshekari, Fahime Zavvari, ّFariba karimzade","doi":"10.52547/shefa.9.1.166","DOIUrl":"https://doi.org/10.52547/shefa.9.1.166","url":null,"abstract":"","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"107 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89165742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Effectiveness of Mindfulness Intervention on Response Inhibition in Children With Attention Deficit/Hyperactivity Disorders","authors":"meysam rezayi, bagher sardary","doi":"10.52547/shefa.9.1.45","DOIUrl":"https://doi.org/10.52547/shefa.9.1.45","url":null,"abstract":"E-mail: sardary1152bagher@gmail.com","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89680411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
1. Motor Skills Disorders 2. Executive Function 3. Exercise Introduction: In addition to coordination and motor difficulties, one of the main problems in children with developmental coordination disorder that prevents them from learning in early childhood education is a defect in executive functions. In recent years, the tendency to use novel therapeutic approaches for children with executive dysfunctions has increased. Cognitive rehabilitation or training in executive functions is an approach that has received much attention in recent years. The purpose of the present s tudy was to inves tigate the effect of the Table Tennis Training Program on sus tained attention and cognitive flexibility in children with developmental coordination disorder. Materials and Methods: The research method was quasi-experimental with a pretes t-pos ttes t design. The s tatis tical population of this s tudy was all children aged 9-12 years with developmental coordination disorder in Kermanshah, Iran. Subjects in this s tudy were 20 children with developmental coordination disorder who were selected by convenience sampling and were randomly assigned into two control and experimental groups. The tools of this s tudy were Wilson Developmental Coordination Disorders Ques tionnaire, Movement Assessment Buttery for Children, Computerized Continuous Performance, and Wisconsin Card Sorting Tes t. Before and after the intervention program, sus tained attention and cognitive flexibility of all subjects were measured. Table Tennis Training Program was held in the gym for 12 weeks and twice a week for 70 minutes. Results: The results showed a significant improvement in sus tained attention and cognitive flexibility in children with developmental coordination disorder following 12 weeks of Table Tennis Training. Conclusion: Table tennis training has improved sus tained attention and cognitive flexibility in children with developmental coordination disorder. These data sugges t the benefits of exercise programs based on Training of executive functions and high attentional load in children with coordination disorder. ABSTRACT Article Info:
{"title":"Effect of Table Tennis Training Program on Sustained Attention and Cognitive Flexibility of Children with Developmental Coordination Disorder","authors":"M. Jalilvand","doi":"10.52547/shefa.9.1.99","DOIUrl":"https://doi.org/10.52547/shefa.9.1.99","url":null,"abstract":"1. Motor Skills Disorders 2. Executive Function 3. Exercise Introduction: In addition to coordination and motor difficulties, one of the main problems in children with developmental coordination disorder that prevents them from learning in early childhood education is a defect in executive functions. In recent years, the tendency to use novel therapeutic approaches for children with executive dysfunctions has increased. Cognitive rehabilitation or training in executive functions is an approach that has received much attention in recent years. The purpose of the present s tudy was to inves tigate the effect of the Table Tennis Training Program on sus tained attention and cognitive flexibility in children with developmental coordination disorder. Materials and Methods: The research method was quasi-experimental with a pretes t-pos ttes t design. The s tatis tical population of this s tudy was all children aged 9-12 years with developmental coordination disorder in Kermanshah, Iran. Subjects in this s tudy were 20 children with developmental coordination disorder who were selected by convenience sampling and were randomly assigned into two control and experimental groups. The tools of this s tudy were Wilson Developmental Coordination Disorders Ques tionnaire, Movement Assessment Buttery for Children, Computerized Continuous Performance, and Wisconsin Card Sorting Tes t. Before and after the intervention program, sus tained attention and cognitive flexibility of all subjects were measured. Table Tennis Training Program was held in the gym for 12 weeks and twice a week for 70 minutes. Results: The results showed a significant improvement in sus tained attention and cognitive flexibility in children with developmental coordination disorder following 12 weeks of Table Tennis Training. Conclusion: Table tennis training has improved sus tained attention and cognitive flexibility in children with developmental coordination disorder. These data sugges t the benefits of exercise programs based on Training of executive functions and high attentional load in children with coordination disorder. ABSTRACT Article Info:","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77296504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Z. Rezaee, M. Marandi, hojjataalah alaei, F. Esfarjani
*Corresponding Author: Sayed Mohammad Marandi E-mail: s.m.marandi@spr.ui.ac.ir
*通讯作者:Sayed Mohammad Marandi E-mail: s.m.marandi@spr.ui.ac.ir
{"title":"The Effect of Exercise on Parkinson's Disease","authors":"Z. Rezaee, M. Marandi, hojjataalah alaei, F. Esfarjani","doi":"10.52547/shefa.9.1.189","DOIUrl":"https://doi.org/10.52547/shefa.9.1.189","url":null,"abstract":"*Corresponding Author: Sayed Mohammad Marandi E-mail: s.m.marandi@spr.ui.ac.ir","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"74 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90264435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
1. Alzheimer Disease 2. Cognitive Dysfunction 3. Electroencephalography Introduction: Alzheimer’s disease is a brain disorder that gradually des troys cognitive function and eventually the ability to carry out daily routine tasks. Early diagnosis of this disease has attracted the attention of many physicians and scholars, and several methods have been used to detect it in early phases. Evaluation of artificial neural networks is low-cos t with no side effect method that is used for diagnosing and predicting Alzheimer’s disease in subjects with mild cognitive impairment based on electroencephalogram signals. Materials and Methods: for this sys tematic review, keywords Alzheimer’s, Artificial Neural network and EEG were searched in IEEE, PubMed central, ScienceDirect, and Google Scholar databases between 2000 to 2019. Then, they were selected for critical evaluation based on the mos t relevance to the subject under s tudy. Results: The search result in these databases was 100 articles. Excluding unrelated articles, only 30 articles were s tudied. In the present study, different types of artificial neural networks were described, Next, the accuracy of the classification obtained by these methods was inves tigated. The results have shown that some methods, despite being less used in research or have simple architecture, have the highes t accuracy for classification. In many s tudies, artificial neural networks have also been considered in comparison with other classification methods and the results show the superiority of these methods. Conclusion: Artificial neural networks can be used as a tool for early detection of Alzheimer’s disease. This approach can be evaluated for its classification accuracy, speed, architecture, and common use. Some networks are accurate at classifying and unders tanding data, but are slow or require specific hardware/software environments. Some other networks work better with simple architectures than complex networks. Furthermore, changing the architecture of conventional networks or combining them with other methods resulted in significantly different results. Increasing accuracy of classification of these networks in the diagnosis of mild cognitive impairment could help to predict Alzheimer’s disease appropriately. ABSTRACT Article Info:
{"title":"Differential Diagnostic Methods for Cognitive Disorders Using Neural Networks Based on Electroencephalogram Signals: A Systematic Review","authors":"Samaneh Fouladi, A. Safaei","doi":"10.52547/shefa.9.1.152","DOIUrl":"https://doi.org/10.52547/shefa.9.1.152","url":null,"abstract":"1. Alzheimer Disease 2. Cognitive Dysfunction 3. Electroencephalography Introduction: Alzheimer’s disease is a brain disorder that gradually des troys cognitive function and eventually the ability to carry out daily routine tasks. Early diagnosis of this disease has attracted the attention of many physicians and scholars, and several methods have been used to detect it in early phases. Evaluation of artificial neural networks is low-cos t with no side effect method that is used for diagnosing and predicting Alzheimer’s disease in subjects with mild cognitive impairment based on electroencephalogram signals. Materials and Methods: for this sys tematic review, keywords Alzheimer’s, Artificial Neural network and EEG were searched in IEEE, PubMed central, ScienceDirect, and Google Scholar databases between 2000 to 2019. Then, they were selected for critical evaluation based on the mos t relevance to the subject under s tudy. Results: The search result in these databases was 100 articles. Excluding unrelated articles, only 30 articles were s tudied. In the present study, different types of artificial neural networks were described, Next, the accuracy of the classification obtained by these methods was inves tigated. The results have shown that some methods, despite being less used in research or have simple architecture, have the highes t accuracy for classification. In many s tudies, artificial neural networks have also been considered in comparison with other classification methods and the results show the superiority of these methods. Conclusion: Artificial neural networks can be used as a tool for early detection of Alzheimer’s disease. This approach can be evaluated for its classification accuracy, speed, architecture, and common use. Some networks are accurate at classifying and unders tanding data, but are slow or require specific hardware/software environments. Some other networks work better with simple architectures than complex networks. Furthermore, changing the architecture of conventional networks or combining them with other methods resulted in significantly different results. Increasing accuracy of classification of these networks in the diagnosis of mild cognitive impairment could help to predict Alzheimer’s disease appropriately. ABSTRACT Article Info:","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"13 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80845568","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating the Effect of Drama Therapy Techniques in Improving the Symptoms of Children and Adolescents with Autism Spectrum Disorder","authors":"AmirFarzam Dehnavi, Mohsen Sherafati","doi":"10.52547/shefa.9.1.139","DOIUrl":"https://doi.org/10.52547/shefa.9.1.139","url":null,"abstract":"","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"69 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87111202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Effect of Transcranial Direct Stimulation on Balance in Men with Schizophrenic and Depressive Disorder","authors":"Razieh Khanmohammadi, M. Sheikh, F. Bagherzadeh, Davood Homanian, Daryoosh Khajavi","doi":"10.52547/shefa.9.1.56","DOIUrl":"https://doi.org/10.52547/shefa.9.1.56","url":null,"abstract":"*Corresponding Author: Mahmood Sheikh E-mail: prosheikh@yahoo.com","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"146 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91448234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
according to mathematical metacognitive beliefs and Marsh’s mathematical self-concept were used to collect data. Results: Our data have shown that metacognitive beliefs and mathematical self-concept have a positive and significant relationship with the mathematical competence of preschool children. Furthermore, mathematical self-concept can predict changes in the mathematical competence of preschool children. Conclusion: Attention to metacognitive beliefs and selfconcept play an important role in children’s mathematical competence.
{"title":"The Role of Metacognitive Beliefs and Mathematical Self-Esteem in Predicting the Mathematical Competence of Preschool Children","authors":"Hamed Salehi","doi":"10.52547/shefa.9.1.90","DOIUrl":"https://doi.org/10.52547/shefa.9.1.90","url":null,"abstract":"according to mathematical metacognitive beliefs and Marsh’s mathematical self-concept were used to collect data. Results: Our data have shown that metacognitive beliefs and mathematical self-concept have a positive and significant relationship with the mathematical competence of preschool children. Furthermore, mathematical self-concept can predict changes in the mathematical competence of preschool children. Conclusion: Attention to metacognitive beliefs and selfconcept play an important role in children’s mathematical competence.","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"46 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79389207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fatemeh Ansarinejad, A. Moradi, R. Khosroabadi, Ali Fathi Ashtiani
Using innovative Libet’s clock, we could inves tigate and compare IB of visual outcome in 4 different colors. Our results have been in line with previous s tudies and with the retrospective viewpoint of IB phenomena.
{"title":"Intentional Binding and Sense of Agency of Visual Outcomes","authors":"Fatemeh Ansarinejad, A. Moradi, R. Khosroabadi, Ali Fathi Ashtiani","doi":"10.52547/shefa.9.1.68","DOIUrl":"https://doi.org/10.52547/shefa.9.1.68","url":null,"abstract":"Using innovative Libet’s clock, we could inves tigate and compare IB of visual outcome in 4 different colors. Our results have been in line with previous s tudies and with the retrospective viewpoint of IB phenomena.","PeriodicalId":22899,"journal":{"name":"The Neuroscience Journal of Shefaye Khatam","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82760783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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