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1.
JMIR Serious Games ; 8(4): e18768, 2020 Dec 30.
Article in English | MEDLINE | ID: mdl-33377872

ABSTRACT

BACKGROUND: Virtual simulation is the re-creation of reality depicted on a computer screen. It offers the possibility to exercise motor and psychomotor skills. In biomedical and medical education, there is an attempt to find new ways to support students' learning in neurophysiology. Traditionally, recording electroencephalography (EEG) has been learned through practical hands-on exercises. To date, virtual simulations of EEG measurements have not been used. OBJECTIVE: This study aimed to examine the development of students' theoretical knowledge and practical skills in the EEG measurement when using a virtual EEG simulator in biomedical laboratory science in the context of a neurophysiology course. METHODS: A computer-based EEG simulator was created. The simulator allowed virtual electrode placement and EEG graph interpretation. The usefulness of the simulator for learning EEG measurement was tested with 35 participants randomly divided into three equal groups. Group 1 (experimental group 1) used the simulator with fuzzy feedback, group 2 (experimental group 2) used the simulator with exact feedback, and group 3 (control group) did not use a simulator. The study comprised pre- and posttests on theoretical knowledge and practical hands-on evaluation of EEG electrode placement. RESULTS: The Wilcoxon signed-rank test indicated that the two groups that utilized a computer-based electrode placement simulator showed significant improvement in both theoretical knowledge (Z=1.79, P=.074) and observed practical skills compared with the group that studied without a simulator. CONCLUSIONS: Learning electrode placement using a simulator enhances students' ability to place electrodes and, in combination with practical hands-on training, increases their understanding of EEG measurement.

2.
Cancer Res ; 68(20): 8342-50, 2008 Oct 15.
Article in English | MEDLINE | ID: mdl-18922906

ABSTRACT

Oncolytic viruses are a promising tool for treatment of cancer. We studied an oncolytic Semliki Forest virus (SFV) vector, VA7, carrying the enhanced green fluorescent protein gene (EGFP), as a novel virotherapy candidate against unresectable osteosarcoma. The efficiency and characteristics of the VA7-EGFP treatment were compared with a widely studied oncolytic adenovirus, Ad5Delta24, both in vitro and in vivo. VA7-EGFP resulted in more rapid oncolysis and was more efficient at low multiplicities of infection (MOI) when compared with Ad5Delta24 in vitro. Yet, in MG-63 cells, a subpopulation resistant to the VA7-EGFP vector emerged. In subcutaneous human osteosarcoma xenografts in nude mice treatment with either vector reduced tumor size, whereas tumors in control mice expanded quickly. The VA7-EGFP-treated tumors were either completely abolished or regressed to pinpoint size. The efficacy of VA7-EGFP vector was studied also in an orthotopic osteosarcoma nude mouse model characterized by highly aggressive tumor growth. Treatment with oncolytic SFV extended survival of the animals significantly (P < 0.01), yet none of the animals were finally cured. Sera from SFV-treated mice contained neutralizing antibodies, and as nude mice are not able to establish IgG response, the result points out the role of IgM class antibodies in clearance of virus from peripheral tumors. Furthermore, biodistribution analysis at the survival end point verified the presence of virus in some of the brain samples, which is in line with previous studies demonstrating that IgG is required for clearance of SFV from central nervous system.


Subject(s)
Bone Neoplasms/therapy , Oncolytic Virotherapy/methods , Osteosarcoma/therapy , Semliki forest virus , Animals , Antibodies, Viral/analysis , Bone Neoplasms/mortality , Bone Neoplasms/pathology , Cell Line, Tumor , Genetic Vectors , Green Fluorescent Proteins , Humans , Magnetic Resonance Imaging , Mice , Osteosarcoma/mortality , Osteosarcoma/pathology , Semliki forest virus/genetics , Semliki forest virus/immunology , Semliki forest virus/physiology , Treatment Failure , Virus Replication
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