Autism spectrum disorders(ASD)are characterized by social and repetitive abnormalities.Although the ASD mouse model with Shank3b mutations is widely used in ASD research,the behavioral phenotype of this model has not ...Autism spectrum disorders(ASD)are characterized by social and repetitive abnormalities.Although the ASD mouse model with Shank3b mutations is widely used in ASD research,the behavioral phenotype of this model has not been fully elucidated.Here,a 3D-motion capture system and linear discriminant analysis were used to comprehensively record and analyze the behavioral patterns of male and female Shank3b mutant mice.It was found that both sexes replicated the core and accompanied symptoms of ASD,with significant sex differences.Further,Shank3b heterozygous knockout mice exhibited distinct autistic behaviors,that were significantly different from those those observed in the wild type and homozygous knockout groups.Our findings provide evidence for the inclusion of both sexes and experimental approaches to efficiently characterize heterozygous transgenic models,which are more clinically relevant in autistic studies.展开更多
AIM: To study technical skills of colonoscopists using a Microsoft Kinect? for motion analysis to develop a tool to guide colonoscopy education.RESULTS: Ten experienced endoscopists(gastroenterologists, n = 2; colorec...AIM: To study technical skills of colonoscopists using a Microsoft Kinect? for motion analysis to develop a tool to guide colonoscopy education.RESULTS: Ten experienced endoscopists(gastroenterologists, n = 2; colorectal surgeons, n = 8) and 11 novices participated in the study. A Microsoft Kinect? recorded the movements of the participants during the insertion of the colonoscope. We used a modified script from Microsoft to record skeletal data. Data were saved and later transferred to MatLab for analysis and the calculation of statistics. The test was performed on a physical model, specifically the "Kagaku Colonoscope Training Model"(Kyoto Kagaku Co. Ltd, Kyoto, Japan). After the introduction to the scope and colonoscopy model, the test was performed. Seven metrics were analyzed to find discriminative motion patterns between the novice and experienced endoscopists: hand distance from gurney, number of times the right hand wasused to control the small wheel of the colonoscope, angulation of elbows, position of hands in relation to body posture, angulation of body posture in relation to the anus, mean distance between the hands and percentage of time the hands were approximated to each other.RESULTS: Four of the seven metrics showed discriminatory ability: mean distance between hands [45 cm for experienced endoscopists(SD 2) vs 37 cm for novice endoscopists(SD 6)], percentage of time in which the two hands were within 25 cm of each other [5% for experienced endoscopists(SD 4) vs 12% for novice endoscopists(SD 9)], the level of the right hand below the sighting line(z-axis)(25 cm for experienced endoscopists vs 36 cm for novice endoscopists, P < 0.05) and the level of the left hand below the z-axis(6 cm for experienced endoscopists vs 15 cm for novice endoscopists, P < 0.05). By plotting the distributions of the percentages for each group, we determined the best discriminatory value between the groups. A pass score was set at the intersection of the distributions, and the consequences of the standard were explored for each test. By using the contrasting group method, we showed a discriminatory value of Z = 1.51 to be the pass/fail value of the data showing discriminatory ability. The pass score allowed all ten experienced endoscopists as well as five novice endoscopists to pass the test.CONCLUSION: Identified metrics can be used to discriminate between experienced and novice endoscopists and to provide non-biased feedback. Whether it is possible to use this tool to train novices in a clinical setting requires further study.展开更多
基金National Science and Technology Innovation 2030-Major Project of China(2021ZD0201003 and 2022ZD0208300)National Natural Science Foundation of China(32171092)+3 种基金Shenzhen Key Basic Research Project(JCYJ20220818100805013)Shenzhen Key Laboratory of Viral Vectors for Biomedicine(ZDSYS20200811142401005)Guangdong Provincial Medical Products Administration Key Laboratory of Quality Control Technology for Virus-Based Therapeutics(2020ZDB26)Guangdong Provincial Medical Products Administration(2022ZDZ13).
文摘Autism spectrum disorders(ASD)are characterized by social and repetitive abnormalities.Although the ASD mouse model with Shank3b mutations is widely used in ASD research,the behavioral phenotype of this model has not been fully elucidated.Here,a 3D-motion capture system and linear discriminant analysis were used to comprehensively record and analyze the behavioral patterns of male and female Shank3b mutant mice.It was found that both sexes replicated the core and accompanied symptoms of ASD,with significant sex differences.Further,Shank3b heterozygous knockout mice exhibited distinct autistic behaviors,that were significantly different from those those observed in the wild type and homozygous knockout groups.Our findings provide evidence for the inclusion of both sexes and experimental approaches to efficiently characterize heterozygous transgenic models,which are more clinically relevant in autistic studies.
文摘AIM: To study technical skills of colonoscopists using a Microsoft Kinect? for motion analysis to develop a tool to guide colonoscopy education.RESULTS: Ten experienced endoscopists(gastroenterologists, n = 2; colorectal surgeons, n = 8) and 11 novices participated in the study. A Microsoft Kinect? recorded the movements of the participants during the insertion of the colonoscope. We used a modified script from Microsoft to record skeletal data. Data were saved and later transferred to MatLab for analysis and the calculation of statistics. The test was performed on a physical model, specifically the "Kagaku Colonoscope Training Model"(Kyoto Kagaku Co. Ltd, Kyoto, Japan). After the introduction to the scope and colonoscopy model, the test was performed. Seven metrics were analyzed to find discriminative motion patterns between the novice and experienced endoscopists: hand distance from gurney, number of times the right hand wasused to control the small wheel of the colonoscope, angulation of elbows, position of hands in relation to body posture, angulation of body posture in relation to the anus, mean distance between the hands and percentage of time the hands were approximated to each other.RESULTS: Four of the seven metrics showed discriminatory ability: mean distance between hands [45 cm for experienced endoscopists(SD 2) vs 37 cm for novice endoscopists(SD 6)], percentage of time in which the two hands were within 25 cm of each other [5% for experienced endoscopists(SD 4) vs 12% for novice endoscopists(SD 9)], the level of the right hand below the sighting line(z-axis)(25 cm for experienced endoscopists vs 36 cm for novice endoscopists, P < 0.05) and the level of the left hand below the z-axis(6 cm for experienced endoscopists vs 15 cm for novice endoscopists, P < 0.05). By plotting the distributions of the percentages for each group, we determined the best discriminatory value between the groups. A pass score was set at the intersection of the distributions, and the consequences of the standard were explored for each test. By using the contrasting group method, we showed a discriminatory value of Z = 1.51 to be the pass/fail value of the data showing discriminatory ability. The pass score allowed all ten experienced endoscopists as well as five novice endoscopists to pass the test.CONCLUSION: Identified metrics can be used to discriminate between experienced and novice endoscopists and to provide non-biased feedback. Whether it is possible to use this tool to train novices in a clinical setting requires further study.
