{"title":"Postural strategy for two potential targets considering motor costs for postural stabilization and probabilistic information.","authors":"Ryo Watanabe, Takahiro Higuchi","doi":"10.1152/jn.00308.2024","DOIUrl":null,"url":null,"abstract":"<p><p>When an intended action has multiple potential goals, individuals should consider multiple possibilities about future events to react successfully. Previous studies on arm reaching using a \"go-before-you-know\" paradigm have found that hand trajectories under multiple potential targets were spatially averaged between targets and biased based on probabilistic information about the targets. Using a target-stepping task while standing, we recently observed that a prestep posture was planned more advantageously for stepping to the target with higher motor costs for postural stabilization. The present study aimed to examine whether such a postural strategy would be selected when the probability of a potential target with higher motor costs being selected as the true target was low. Fourteen participants (mean age 23.2 ± 4.6 yr) initiated stepping movements knowing only the probability of two potential targets and took a step onto a target revealed after step initiation. The results showed that the participants prepared their mediolateral posture state more advantageously to take a step onto the target with higher costs, even when it was selected with a lower probability. Prestep postures were also affected by the probability information, although the effects were small. Our simulations demonstrated that the postural strategy prioritizing motor costs was mechanically beneficial for affording time to take a step toward the true target while maintaining an upright posture. These findings suggest that, when maintaining postural stability is critical, the central nervous system considers the motor costs for postural stabilization in addition to probability information under multiple potential targets.<b>NEW & NOTEWORTHY</b> Recent studies using a target-reaching task under a \"go-before-you-know\" paradigm have shown that individuals use probabilistic information when planning a motor strategy under multiple potential goals. We introduced this paradigm to a target-stepping task performed while standing and found that motor costs for postural stabilization were considered for initial posture planning under uneven probabilistic targets. These findings indicated that the central nervous system considers motor costs when planning postural strategies to minimize instability.</p>","PeriodicalId":16563,"journal":{"name":"Journal of neurophysiology","volume":" ","pages":"1191-1204"},"PeriodicalIF":2.1000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of neurophysiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1152/jn.00308.2024","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/10 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
When an intended action has multiple potential goals, individuals should consider multiple possibilities about future events to react successfully. Previous studies on arm reaching using a "go-before-you-know" paradigm have found that hand trajectories under multiple potential targets were spatially averaged between targets and biased based on probabilistic information about the targets. Using a target-stepping task while standing, we recently observed that a prestep posture was planned more advantageously for stepping to the target with higher motor costs for postural stabilization. The present study aimed to examine whether such a postural strategy would be selected when the probability of a potential target with higher motor costs being selected as the true target was low. Fourteen participants (mean age 23.2 ± 4.6 yr) initiated stepping movements knowing only the probability of two potential targets and took a step onto a target revealed after step initiation. The results showed that the participants prepared their mediolateral posture state more advantageously to take a step onto the target with higher costs, even when it was selected with a lower probability. Prestep postures were also affected by the probability information, although the effects were small. Our simulations demonstrated that the postural strategy prioritizing motor costs was mechanically beneficial for affording time to take a step toward the true target while maintaining an upright posture. These findings suggest that, when maintaining postural stability is critical, the central nervous system considers the motor costs for postural stabilization in addition to probability information under multiple potential targets.NEW & NOTEWORTHY Recent studies using a target-reaching task under a "go-before-you-know" paradigm have shown that individuals use probabilistic information when planning a motor strategy under multiple potential goals. We introduced this paradigm to a target-stepping task performed while standing and found that motor costs for postural stabilization were considered for initial posture planning under uneven probabilistic targets. These findings indicated that the central nervous system considers motor costs when planning postural strategies to minimize instability.
期刊介绍:
The Journal of Neurophysiology publishes original articles on the function of the nervous system. All levels of function are included, from the membrane and cell to systems and behavior. Experimental approaches include molecular neurobiology, cell culture and slice preparations, membrane physiology, developmental neurobiology, functional neuroanatomy, neurochemistry, neuropharmacology, systems electrophysiology, imaging and mapping techniques, and behavioral analysis. Experimental preparations may be invertebrate or vertebrate species, including humans. Theoretical studies are acceptable if they are tied closely to the interpretation of experimental data and elucidate principles of broad interest.