DAILY MODULATION OF THE SPEED-ACCURACY TRADE-OFF
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Titre | DAILY MODULATION OF THE SPEED-ACCURACY TRADE-OFF |
Type de publication | Journal Article |
Year of Publication | 2017 |
Auteurs | Gueugneau N, Pozzo T, Darlot C, Papaxanthis C |
Journal | NEUROSCIENCE |
Volume | 356 |
Pagination | 142-150 |
Date Published | JUL 25 |
Type of Article | Article |
ISSN | 0306-4522 |
Mots-clés | arm pointing, motor imagery, speed-accuracy trade-off, time-of-day modulation |
Résumé | Goal-oriented arm movements are characterized by a balance between speed and accuracy. The relation between speed and accuracy has been formalized by Fitts' law and predicts a linear increase in movement duration with task constraints. Up to now this relation has been investigated on a short-time scale only, that is during a single experimental session, although chronobiological studies report that the motor system is shaped by circadian rhythms. Here, we examine whether the speed-accuracy trade-off could vary during the day. Healthy adults carried out arm-pointing movements as accurately and fast as possible toward targets of different sizes at various hours of the day, and variations in Fitts' law parameters were scrutinized. To investigate whether the potential modulation of the speed-accuracy trade-off has peripheral and/or central origins, a motor imagery paradigm was used as well. Results indicated a daily (circadian-like) variation for the durations of both executed and mentally simulated movements, in strictly controlled accuracy conditions. While Fitts' law was held for the whole sessions of the day, the slope of the relation between movement duration and task difficulty expressed a clear modulation, with the lowest values in the afternoon. This variation of the speed-accuracy tradeoff in executed and mental movements suggests that, beyond execution parameters, motor planning mechanisms are modulated during the day. Daily update of forward models is discussed as a potential mechanism. (C) 2017 IBRO. Published by Elsevier Ltd. All rights reserved. |
DOI | 10.1016/j.neuroscience.2017.04.043 |