Pub Date : 2022-12-21DOI: 10.1109/ICBME57741.2022.10053026
Kosar Saniar Arani, Alireza Kazemi, M. Mirian, A. Vahabie, Wyatt D. Verchere, Soojin Lee, H. Soltanian-Zadeh, M. McKeown
Parkinson's disease (PD) is a neurological disorder based on changes in dynamic brain activity, which can be partially ameliorated with invasive Deep Brain Stimulation. Galvanic vestibular stimulation (GVS), a non-invasive method, could potentially improve the motor symptoms of Parkinson's disease, but the mechanisms are unclear. Biomarkers based on the electroencephalogram (EEG) are being actively pursued. Here we examine the properties of EEG microstates as a potential GVS-sensitive EEG biomarker, whereby multichannel, broadband EEG signals are approximated by a sequence of discrete spatial patterns. We used the Microstate Analysis plugin for EEGLAB and compared the characteristics between healthy (n=20) and people with PD (n=22, stimulated/sham, and OFF Medication/ ON Medication). We extracted 25 Microstate related features from 4 different microstates (‘A’ - ‘D’) and examined their differences between groups (a healthy control group was considered as the reference to extract the feature values). Overall disease severity, as assessed by the clinical Unified Parkinson's Disease Rating Scale (UPDRS) Part 3, was predictable from microstate features. The duration of microstate A - selected by LASSO during UPDRS prediction- was significantly changed by both types of GVS stimuli (multi-sine 50–100 Hz (GVS1), and multi-sine 100–150 Hz (GVS2)), but not medication. The fraction of total recording time for microstate C, also a key feature in disease prediction, was found to be selectively affected GVS1 only. The above results suggest that GVS may provide benefits complementary to medication but in a stimulus-dependent manner. These results could potentially guide optimal GVS design in the pursuit of complementary therapies.
{"title":"Evaluating the Effect of Galvanic Vestibular Stimulation in Parkinson's disease via Microstate Resting State EEG Analysis","authors":"Kosar Saniar Arani, Alireza Kazemi, M. Mirian, A. Vahabie, Wyatt D. Verchere, Soojin Lee, H. Soltanian-Zadeh, M. McKeown","doi":"10.1109/ICBME57741.2022.10053026","DOIUrl":"https://doi.org/10.1109/ICBME57741.2022.10053026","url":null,"abstract":"Parkinson's disease (PD) is a neurological disorder based on changes in dynamic brain activity, which can be partially ameliorated with invasive Deep Brain Stimulation. Galvanic vestibular stimulation (GVS), a non-invasive method, could potentially improve the motor symptoms of Parkinson's disease, but the mechanisms are unclear. Biomarkers based on the electroencephalogram (EEG) are being actively pursued. Here we examine the properties of EEG microstates as a potential GVS-sensitive EEG biomarker, whereby multichannel, broadband EEG signals are approximated by a sequence of discrete spatial patterns. We used the Microstate Analysis plugin for EEGLAB and compared the characteristics between healthy (n=20) and people with PD (n=22, stimulated/sham, and OFF Medication/ ON Medication). We extracted 25 Microstate related features from 4 different microstates (‘A’ - ‘D’) and examined their differences between groups (a healthy control group was considered as the reference to extract the feature values). Overall disease severity, as assessed by the clinical Unified Parkinson's Disease Rating Scale (UPDRS) Part 3, was predictable from microstate features. The duration of microstate A - selected by LASSO during UPDRS prediction- was significantly changed by both types of GVS stimuli (multi-sine 50–100 Hz (GVS1), and multi-sine 100–150 Hz (GVS2)), but not medication. The fraction of total recording time for microstate C, also a key feature in disease prediction, was found to be selectively affected GVS1 only. The above results suggest that GVS may provide benefits complementary to medication but in a stimulus-dependent manner. These results could potentially guide optimal GVS design in the pursuit of complementary therapies.","PeriodicalId":319196,"journal":{"name":"2022 29th National and 7th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127193113","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}
Pub Date : 2022-12-21DOI: 10.1109/ICBME57741.2022.10052937
M. Mohammadi, M. Sefidgar, F. M. Kashkooli, C. Aghanajafi, M. Soltani
Angiogenesis is a connection bridge between the avascular and vascular growth phases of the tumor. The rate of tumor growth increases after angiogenesis. Anti-angiogenesis therapy is an effective method that is used in cancer treatment, especially in combination with other strategies such as chemotherapy and radiotherapy. Mathematical models are used for simulating different processes in cancer-related areas, such as angiogenesis and anti-angiogenesis. In this study, the formation of a capillary network from two parent vessels toward a circular tumor of different sizes is studied by considering the anti-angiogenic effects of angiostatin. The discrete model applied in previous studies of our group is developed in this paper to study the effect of angiostatin on the density of capillaries as a parameter that may represent anti-angiogenesis effectiveness. It is concluded that angiostatin decreases the rate of the spread of the parent vessels' sprouts into the tumor with a small non-dimensional size of 0.1. Moreover, it is shown that anti-angiogenesis normalizes the microenvironment of the tumor. Results show that the microvascular network is pruned by the anti-angiogenic agent, which results in a reduction of the microvascular density in all tumor sizes. Based on the findings of the present study, the reduction of neo-vessel density induced by angiostatin administration decreases with increasing tumor size, which can indicate the dependence of anti-angiogenic treatment performance on tumor size as a factor of tumor progression stage.
{"title":"Mathematical Modeling of the Effect of Angiostatin on the Density of the Circular Tumor-Induced Microvascular Network","authors":"M. Mohammadi, M. Sefidgar, F. M. Kashkooli, C. Aghanajafi, M. Soltani","doi":"10.1109/ICBME57741.2022.10052937","DOIUrl":"https://doi.org/10.1109/ICBME57741.2022.10052937","url":null,"abstract":"Angiogenesis is a connection bridge between the avascular and vascular growth phases of the tumor. The rate of tumor growth increases after angiogenesis. Anti-angiogenesis therapy is an effective method that is used in cancer treatment, especially in combination with other strategies such as chemotherapy and radiotherapy. Mathematical models are used for simulating different processes in cancer-related areas, such as angiogenesis and anti-angiogenesis. In this study, the formation of a capillary network from two parent vessels toward a circular tumor of different sizes is studied by considering the anti-angiogenic effects of angiostatin. The discrete model applied in previous studies of our group is developed in this paper to study the effect of angiostatin on the density of capillaries as a parameter that may represent anti-angiogenesis effectiveness. It is concluded that angiostatin decreases the rate of the spread of the parent vessels' sprouts into the tumor with a small non-dimensional size of 0.1. Moreover, it is shown that anti-angiogenesis normalizes the microenvironment of the tumor. Results show that the microvascular network is pruned by the anti-angiogenic agent, which results in a reduction of the microvascular density in all tumor sizes. Based on the findings of the present study, the reduction of neo-vessel density induced by angiostatin administration decreases with increasing tumor size, which can indicate the dependence of anti-angiogenic treatment performance on tumor size as a factor of tumor progression stage.","PeriodicalId":319196,"journal":{"name":"2022 29th National and 7th International Iranian Conference on Biomedical Engineering (ICBME)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128989674","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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