Ted S Benice1, Jau-Shin Lou, Ryan Eaton, John Nutt. 1. Department of Neurology, CR-120, Oregon Health and Science University, 3181 SW Sam Jackson Park Road, Portland, OR, United States.
Abstract
OBJECTIVE: The precision grip-and-lift task (PGLT) has been used to measure hand motor coordination in PD. We designed this study to investigate if the PGLT outcome variables correlate with the UPDRS motor scores and if all PGLT outcome variables are "responsive" to levodopa. METHODS: We used PGLT to assess hand motor coordination in 10 PD and 10 normal controls before and after levodopa. RESULTS: Factor analysis showed that the six PGLT parameters were reduced to two factors, a levodopa-responsive factor and a dopa-resistant factor that explained 74% of the total variance. The levodopa-responsive factor, which correlated significantly with "off" UPDRS motor scores, includes load preparation time, maximum vertical acceleration, maximum grip velocity and maximum grip force. The levodopa-resistant factor, which did not correlate with "off" UPDRS motor scores, included maximum negative load force and tremor during lift. Both dopa-responsive and dopa-resistant factors were altered in PD compared to controls before levodopa. Levodopa improved dopa-responsive, but not dopa-resistant factor in PD. CONCLUSIONS: PGLT can measure two aspects of fine motor performance, both affected by PD but differentially affected by levodopa. SIGNIFICANCE: PGLT can be useful in characterizing the response of motor abnormality in PD therapeutic trials.
OBJECTIVE: The precision grip-and-lift task (PGLT) has been used to measure hand motor coordination in PD. We designed this study to investigate if the PGLT outcome variables correlate with the UPDRS motor scores and if all PGLT outcome variables are "responsive" to levodopa. METHODS: We used PGLT to assess hand motor coordination in 10 PD and 10 normal controls before and after levodopa. RESULTS: Factor analysis showed that the six PGLT parameters were reduced to two factors, a levodopa-responsive factor and a dopa-resistant factor that explained 74% of the total variance. The levodopa-responsive factor, which correlated significantly with "off" UPDRS motor scores, includes load preparation time, maximum vertical acceleration, maximum grip velocity and maximum grip force. The levodopa-resistant factor, which did not correlate with "off" UPDRS motor scores, included maximum negative load force and tremor during lift. Both dopa-responsive and dopa-resistant factors were altered in PD compared to controls before levodopa. Levodopa improved dopa-responsive, but not dopa-resistant factor in PD. CONCLUSIONS: PGLT can measure two aspects of fine motor performance, both affected by PD but differentially affected by levodopa. SIGNIFICANCE: PGLT can be useful in characterizing the response of motor abnormality in PD therapeutic trials.
Authors: Tristan M Stani; Kim J Burchiel; Melanie J Hart; David P Lenar; Valerie C Anderson Journal: Exp Brain Res Date: 2009-10-21 Impact factor: 1.972
Authors: Hosuk Sean Lee; Andrea Ghetti; António Pinto-Duarte; Xin Wang; Gustavo Dziewczapolski; Francesco Galimi; Salvador Huitron-Resendiz; Juan C Piña-Crespo; Amanda J Roberts; Inder M Verma; Terrence J Sejnowski; Stephen F Heinemann Journal: Proc Natl Acad Sci U S A Date: 2014-07-28 Impact factor: 11.205