Accurate classification of Alzheimer's disease (AD) is helpful for timely taking relevant measures in the early stage of AD, controlling the incidence rate of AD in key population and delaying the deterioration of AD disease. In this study, the calibration support vector machine (c-SVM) model based on smooth group L1/2 (SGL1/2) was used to select the key features of key brain regions, so as to realize the prediction and auxiliary diagnosis of AD. In the experiment, this method is applied to structured magnetic resonance imaging (s-MRI) datasets for training and testing. Compared with other group level regularization methods, the classification model of SGL1/2 combined with c-SVM has better effect on AD recognition. The conclusion of this study provides an objective reference for the automatic diagnosis of AD in the future.
{"title":"Recognition of Alzheimer's Disease Using Structural MRI Based on Smooth Group L1/2","authors":"ShuaiHui Huang, Xu Tian, Dong Huang, Shaojian Qiu, Wenzhong Wang, Jinfeng Wang","doi":"10.1145/3498731.3498732","DOIUrl":"https://doi.org/10.1145/3498731.3498732","url":null,"abstract":"Accurate classification of Alzheimer's disease (AD) is helpful for timely taking relevant measures in the early stage of AD, controlling the incidence rate of AD in key population and delaying the deterioration of AD disease. In this study, the calibration support vector machine (c-SVM) model based on smooth group L1/2 (SGL1/2) was used to select the key features of key brain regions, so as to realize the prediction and auxiliary diagnosis of AD. In the experiment, this method is applied to structured magnetic resonance imaging (s-MRI) datasets for training and testing. Compared with other group level regularization methods, the classification model of SGL1/2 combined with c-SVM has better effect on AD recognition. The conclusion of this study provides an objective reference for the automatic diagnosis of AD in the future.","PeriodicalId":166893,"journal":{"name":"Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134413600","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}
The dorsolateral prefrontal cortex (DLPFC) plays an important role in visuospatial working memory (VSWM). However, its hemispheric specialization in this cognitive process remains unclear. Here, we aimed to establish whether the DLPFC is hemispherically specialized in the VSWM. Therefore, we applied cTBS over either left or right DLPFC, with vertex as a control site. We recruited 36 participants for the experiment, 18 each for the left and the right DLPFC group. Each participant received a 40 s cTBS over the left or the right DLPFC depending on the group. The stimulation was applied at a uniform intensity of 40% of the maximal stimulator output (MSO) of the Magstim super rapid magnetic stimulator for all subjects. Our results indicated an impairment of VSWM task performance after the cTBS over the right DLPFC relative to the vertex stimulation. While cTBS over the left DLPFC did not significantly decrease the performance. Taken together, our results suggest that the right DLPFC is prominently involved in the VSWM and that cTBS can be used to effectively perturb the activity of the focal brain areas.
{"title":"Investigating Hemispheric Specialization of the Dorsolateral Prefrontal Cortex in Visuospatial Working Memory","authors":"Ronald Ngetich, Wenjuan Li, Donggang Jin, Ling Li","doi":"10.1145/3498731.3498760","DOIUrl":"https://doi.org/10.1145/3498731.3498760","url":null,"abstract":"The dorsolateral prefrontal cortex (DLPFC) plays an important role in visuospatial working memory (VSWM). However, its hemispheric specialization in this cognitive process remains unclear. Here, we aimed to establish whether the DLPFC is hemispherically specialized in the VSWM. Therefore, we applied cTBS over either left or right DLPFC, with vertex as a control site. We recruited 36 participants for the experiment, 18 each for the left and the right DLPFC group. Each participant received a 40 s cTBS over the left or the right DLPFC depending on the group. The stimulation was applied at a uniform intensity of 40% of the maximal stimulator output (MSO) of the Magstim super rapid magnetic stimulator for all subjects. Our results indicated an impairment of VSWM task performance after the cTBS over the right DLPFC relative to the vertex stimulation. While cTBS over the left DLPFC did not significantly decrease the performance. Taken together, our results suggest that the right DLPFC is prominently involved in the VSWM and that cTBS can be used to effectively perturb the activity of the focal brain areas.","PeriodicalId":166893,"journal":{"name":"Proceedings of the 2021 10th International Conference on Bioinformatics and Biomedical Science","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128008323","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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