Diverse coordinate frames on sensorimotor areas in visuomotor transformation

Fujiwara, Y.; Lee, Jong-Ho; Ishikawa, Tsuneo; Kakei, Shinji; Izawa, Jun

doi:10.1038/s41598-017-14579-3

Cited by 9 publications

(8 citation statements)

References 46 publications

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“…Participants were seated and held a plastic handle (aligned to midline, navel height) in a power grip. The handle was instrumented with force sensors, which consisted of an optical strain gauge composed of a digital fiber sensor (FS-N10; Keyence corp.) and a limited-reflective fibre unit (FU-38; Keyence corp.) (Fujiwara et al 2017). Participants arms were pronated and attached to custom built forearm restraints, which consisted of moulded plastic with Velcro straps at either end (see Fig.…”

Section: Methodsmentioning

confidence: 99%

Intermanual transfer of visuomotor learning is facilitated by a cognitive strategy

Havas

Haggard²,

Gomi

et al. 2021

Preprint

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Humans continuously adapt their movement to a novel environment by recalibrating their sensorimotor system. Recent evidence, however, shows that explicit planning to compensate for external changes, i.e. a cognitive strategy, can also aid performance. If such a strategy is indeed planned in external space, it should improve performance in an effector independent manner. We tested this hypothesis by examining whether promoting a cognitive strategy during a visual-force adaptation task performed in one hand can facilitate learning for the opposite hand. Participants rapidly adjusted the height of visual bar on screen to a target level by isometrically exerting force on a handle using their right hand. Visuomotor gain increased during the task and participants learned the increased gain. Visual feedback was continuously provided for one group, while for another group only the endpoint of the force trajectory was presented. The latter has been reported to promote cognitive strategy use. We found that endpoint feedback produced stronger intermanual transfer of learning and slower response times than continuous feedback. In a separate experiment, we confirmed that the aftereffect is indeed reduced when only endpoint feedback is provided, a finding that has been consistently observed when cognitive strategies are used. The results suggest that intermanual transfer can be facilitated by a cognitive strategy. This indicates that the behavioral observation of intermanual transfer can be achieved either by forming an effector-independent motor representation, or by sharing an effector-independent cognitive strategy between the hands.

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Section: Methodsmentioning

confidence: 99%

Intermanual transfer of visuomotor learning is facilitated by a cognitive strategy

Havas

Haggard²,

Gomi

et al. 2021

Preprint

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show abstract

“…Finally, these conclusions likely generalize to other systems. For example, in the reach system, a transition from visual‐to‐motor coding has been observed both at the level of individual neurons, between neurons, and between areas in electrophysiological studies (Bremner & Andersen, 2014; Caminiti, Johnson, Galli, Ferraina, & Burnod, 1991; Cisek & Kalaska, 2005; Fujiwara, Lee, Ishikawa, Kakei, & Izawa, 2017; Kakei, Hoffman, & Strick, 2003; Pesaran, Nelson, & Andersen, 2006; Westendorff et al., 2010), and across lobes at the whole cortex level in neuroimaging studies (e.g. Blohm et al., 2019; Cappadocia, Monaco, Chen, Blohm, & Crawford, 2016; Gallivan & Culham, 2015).…”

Section: General Conclusionmentioning

confidence: 99%

Spatiotemporal transformations for gaze control

2020

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Sensorimotor transformations require spatiotemporal coordination of signals, that is, through both time and space. For example, the gaze control system employs signals that are time‐locked to various sensorimotor events, but the spatial content of these signals is difficult to assess during ordinary gaze shifts. In this review, we describe the various models and methods that have been devised to test this question, and their limitations. We then describe a new method that can (a) simultaneously test between all of these models during natural, head‐unrestrained conditions, and (b) track the evolving spatial continuum from target (T) to future gaze coding (G, including errors) through time. We then summarize some applications of this technique, comparing spatiotemporal coding in the primate frontal eye field (FEF) and superior colliculus (SC). The results confirm that these areas preferentially encode eye‐centered, effector‐independent parameters, and show—for the first time in ordinary gaze shifts—a spatial transformation between visual and motor responses from T to G coding. We introduce a new set of spatial models (T‐G continuum) that revealed task‐dependent timing of this transformation: progressive during a memory delay between vision and action, and almost immediate without such a delay. We synthesize the results from our studies and supplement it with previous knowledge of anatomy and physiology to propose a conceptual model where cumulative transformation noise is realized as inaccuracies in gaze behavior. We conclude that the spatiotemporal transformation for gaze is both local (observed within and across neurons in a given area) and distributed (with common signals shared across remote but interconnected structures).

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“…As a starting point of whole-brain MEG analyses of the goal-directed movement network, we only address how sensory signals of target location are converted into appropriate motor commands. Other studies are required to inspect other aspects of sensory-to-motor transformations, such as the influence of effector choice and posture (Kakei et al 1999(Kakei et al , 2001Beurze et al 2009;Leone et al 2014;Heed et al 2016;Fujiwara et al 2017).…”

Section: Limitations Of Meg and The Current Studymentioning

confidence: 99%

“…The copyright holder for this preprint (which was not this version posted August 31, 2018. ; https://doi.org/10.1101/253328 doi: bioRxiv preprint 4 2006, 2010; Khan et al 2007;Chang et al 2009;Vesia et al 2010). Further, it is thought that in occipital-parietal cortex these parameters are coded relative to the eye, whereas they are transformed by the parietal-frontal network to result in effector-centered coordinates in frontal areas (Batista et al 1999;DeSouza et al 2000;Snyder 2000;Kakei et al 2001Kakei et al , 2003Fernandez-Ruiz et al 2007;Khan et al 2013;Fujiwara et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Neuromagnetic signatures of the spatiotemporal transformation for manual pointing

et al. 2019

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Movement planning involves transforming the sensory goal representation into a command in motor coordinates. Surprisingly, the real-time dynamics of sensorimotor transformations at the whole brain level remain unknown, in part due to the spatiotemporal limitations of fMRI and neurophysiological recordings. Here, we used magnetoencephalography (MEG) during pro-/anti-wrist pointing to determine (1) the cortical areas involved in transforming visual signals into appropriate hand motor commands, and (2) how this transformation occurs in real time, both within and across the regions involved. We computed sensory, motor, and sensorimotor indices in 16 bilateral brain regions for direction coding based on hemispherically lateralized de/synchronization in the α (7-15Hz) and β (15-35Hz) bands. We found a visuomotor progression, from pure sensory codes in 'early' occipital-parietal areas, to a temporal transition from sensory to motor coding in the majority of parietal-frontal sensorimotor areas, to a pure motor code, in both the α and β bands. Further, the timing of these transformations revealed a top-down pro/anti cue influence that propagated 'backwards' from frontal through posterior cortical areas. These data directly demonstrate a progressive, real-time transformation both within and across the entire occipital-parietalfrontal network that follows specific rules of spatial distribution and temporal order..

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Diverse coordinate frames on sensorimotor areas in visuomotor transformation

Cited by 9 publications

References 46 publications

Intermanual transfer of visuomotor learning is facilitated by a cognitive strategy

Intermanual transfer of visuomotor learning is facilitated by a cognitive strategy

Spatiotemporal transformations for gaze control

Neuromagnetic signatures of the spatiotemporal transformation for manual pointing

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