Background: Compulsive behavior, dyskinesias, motor fluctuations, and hallucinations are common Parkinson’s disease (PD) medication side effects. These are yet to be examined in relation to race and level of educatio...Background: Compulsive behavior, dyskinesias, motor fluctuations, and hallucinations are common Parkinson’s disease (PD) medication side effects. These are yet to be examined in relation to race and level of education. The goal of this analysis was to identify socioeconomic or clinical variables that are associated with compulsive behavior, dyskinesias, motor fluctuations, and hallucinations in patients in a safety-net hospital. Methods: A movement disorder patient database containing 452 patients with idiopathic PD was analyzed for differences in PD medication side effects using univariate and multivariate logistic regression analysis. Race, sex, and level of education were evaluated as possible confounders. Results: A greater proportion of the patients in this study were Caucasian males. The only variable associated with compulsive behavior was age, with higher age having a protective effect (p = 0.0336). Disease duration (defined as time since the onset of symptoms), diagnosis duration (time since formal diagnosis), and level of education were significantly associated with dyskinesia inunivariate analysis (p =< 0.0001, <0.0001, 0.1236 respectively). However, diagnosis duration was the only variable significantly associated with dyskinesia in multivariate analysis (p = 0.0038), in addition to a borderline significant association when comparing individuals with graduate degree to those who had completed high school education or less (p = 0.0599), with a protective effect of higher education. Disease duration, diagnosis duration, and use of monoamineoxidase inhibitors were also significantly associated with motor fluctuations in the univariate analysis, while only diagnosis duration was significantly associated with motor fluctuations in multivariate analysis (p = 0.0035) with longer diagnosis duration associated with higher risk of motor fluctuations. Age, disease duration, and diagnosis duration were associated with an increased risk of hallucinations in univariate analysis (p =< 0.0001, <0.0001, <0.0001 respectively), but age and disease duration were the only variables associated with hallucinations in multivariate analysis (p = 0.0009, 0.1196 respectively). Race was not associated with a higher risk of compulsive behavior, dyskinesias, motor fluctuations, or hallucinations. Conclusion: Compulsive behavior, dyskinesias, motor fluctuations, and hallucinations in our PD population may be associated with differences in socioeconomic status and access to care, but not with differences in race.展开更多
Web-like obstacles,such as safety nets,represent a unique hazard for drones,and especially UAVs(Unmanned Aerial Vehicles).Fencing and netting are particularly difficult to distinguish from the background using either ...Web-like obstacles,such as safety nets,represent a unique hazard for drones,and especially UAVs(Unmanned Aerial Vehicles).Fencing and netting are particularly difficult to distinguish from the background using either computer vision,lidar and sonar.In contrast,animals such as flying insects may detect these web-like obstacles using Optic Flow(OF),and more precisely motion parallax.A netting-avoidance solution was proposed using a OF-based detection method.The netting detection method was based on a signature defined by the shape of the OF magnitude across the visual field.We established that the OF shape depends on the orientation of the netting in relation to the hexarotor’s movement.This paper demonstrates netting detection in real-world experiments,according to any direction flight made by the UAV along the net.The proposed NOWA method(which stands for Netting Optical floW-based distinction Algorithm)separates the OF signatures belonging to these different surfaces-netting or background-whatever their orientations.By extracting the OF signatures of these different surfaces and separating them,the proposed visual method can estimate their relative locations and orientations.In a robotic simulations,the multirotor explores and navigates automatically using this netting detection method,using saccades to avoid obstacles.In the simulations,these saccades are also used to simplify netting detection by orienting itself systematically parallel to these planes,a behavior reminiscent of flying insects.展开更多
文摘Background: Compulsive behavior, dyskinesias, motor fluctuations, and hallucinations are common Parkinson’s disease (PD) medication side effects. These are yet to be examined in relation to race and level of education. The goal of this analysis was to identify socioeconomic or clinical variables that are associated with compulsive behavior, dyskinesias, motor fluctuations, and hallucinations in patients in a safety-net hospital. Methods: A movement disorder patient database containing 452 patients with idiopathic PD was analyzed for differences in PD medication side effects using univariate and multivariate logistic regression analysis. Race, sex, and level of education were evaluated as possible confounders. Results: A greater proportion of the patients in this study were Caucasian males. The only variable associated with compulsive behavior was age, with higher age having a protective effect (p = 0.0336). Disease duration (defined as time since the onset of symptoms), diagnosis duration (time since formal diagnosis), and level of education were significantly associated with dyskinesia inunivariate analysis (p =< 0.0001, <0.0001, 0.1236 respectively). However, diagnosis duration was the only variable significantly associated with dyskinesia in multivariate analysis (p = 0.0038), in addition to a borderline significant association when comparing individuals with graduate degree to those who had completed high school education or less (p = 0.0599), with a protective effect of higher education. Disease duration, diagnosis duration, and use of monoamineoxidase inhibitors were also significantly associated with motor fluctuations in the univariate analysis, while only diagnosis duration was significantly associated with motor fluctuations in multivariate analysis (p = 0.0035) with longer diagnosis duration associated with higher risk of motor fluctuations. Age, disease duration, and diagnosis duration were associated with an increased risk of hallucinations in univariate analysis (p =< 0.0001, <0.0001, <0.0001 respectively), but age and disease duration were the only variables associated with hallucinations in multivariate analysis (p = 0.0009, 0.1196 respectively). Race was not associated with a higher risk of compulsive behavior, dyskinesias, motor fluctuations, or hallucinations. Conclusion: Compulsive behavior, dyskinesias, motor fluctuations, and hallucinations in our PD population may be associated with differences in socioeconomic status and access to care, but not with differences in race.
基金The participation of X.D.in this research was made possible by the joint PhD grant from the Agence Innovation Défense(AID)and Aix-Marseille UniversityFinancial support for the running costs was provided via a ProxiLearn project grant(ANR-19-ASTR-0009)to F.R.+2 种基金via SpotReturn project grant(ANR-21-ASRO-0001-02)to T.R.and F.R.from the ANR(Astrid Program)X.D.and F.R.were also supported by Aix Marseille University and the CNRS(Life Science,Information Science,and Engineering and Science&technology Institutes)The facilities for the experimental tests has been mainly provided by ROBOTEX 2.0(Grants ROBOTEX ANR-10-EQPX-44-01 and TIRREX ANR-21-ESRE-0015).
文摘Web-like obstacles,such as safety nets,represent a unique hazard for drones,and especially UAVs(Unmanned Aerial Vehicles).Fencing and netting are particularly difficult to distinguish from the background using either computer vision,lidar and sonar.In contrast,animals such as flying insects may detect these web-like obstacles using Optic Flow(OF),and more precisely motion parallax.A netting-avoidance solution was proposed using a OF-based detection method.The netting detection method was based on a signature defined by the shape of the OF magnitude across the visual field.We established that the OF shape depends on the orientation of the netting in relation to the hexarotor’s movement.This paper demonstrates netting detection in real-world experiments,according to any direction flight made by the UAV along the net.The proposed NOWA method(which stands for Netting Optical floW-based distinction Algorithm)separates the OF signatures belonging to these different surfaces-netting or background-whatever their orientations.By extracting the OF signatures of these different surfaces and separating them,the proposed visual method can estimate their relative locations and orientations.In a robotic simulations,the multirotor explores and navigates automatically using this netting detection method,using saccades to avoid obstacles.In the simulations,these saccades are also used to simplify netting detection by orienting itself systematically parallel to these planes,a behavior reminiscent of flying insects.
