Force level independent representations of predictive grip force–load force coupling: A PET activation study

Boecker, Henning; Lee, A.; Mühlau, Mark; Ceballos-Baumann, Andrés; Ritzl, Afra; Spilker, Mary E.; Marquart, Christian; Hermsdörfer, Joachim

doi:10.1016/j.neuroimage.2004.10.027

Cited by 39 publications

(26 citation statements)

References 62 publications

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“…However, an interaction between time and force that was close to significance revealed right-sided posterior parietal activity. This result is consistent with that of Ehrsson et al (2003) and Boecker et al (2005) who reported BG activity for coordinating load and grip force changes in a precision grip between the thumb and index finger.…”

Section: Discussionsupporting

confidence: 92%

“…Bilateral activation of putamen (Ehrsson et al, 2003) and ipsilateral activation of the caudate (Boecker et al, 2005) was reported in a thumb-finger squeezing task. Bilateral activation of BG, as well as many other motor structures, was noted in a task requiring the production of a controlled change and/or level of grip force (Vaillancourt et al, 2004).…”

Section: Discussionmentioning

confidence: 92%

“…This suggests that the BG involvement was related to grip force generation, whereas the intraparietal region was key to coordination. However, in another study, activation of ipsilateral caudate nucleus as well as ipsilateral posterior cerebellum and frontal association regions was associated with predictive force coupling, over and above activity associated with isolated grip or pull (Boecker et al, 2005).…”

Section: Introductionmentioning

confidence: 84%

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Force related activations in rhythmic sequence production

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 92%

Section: Introductionmentioning

confidence: 84%

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Force related activations in rhythmic sequence production

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“…Positron emission tomography (PET) scans reveal that the cerebellum plays a major role during grip force-load force coupled tasks (Boecker et al, 2005). Patients with a damaged cerebellum lack the tight coordination of grip and load force, often exerting more grip force than needed and having difficulties in timing motor actions e.g.…”

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confidence: 99%

Anticipatory grip force control using a cerebellar model

2009

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Abstract-Grip force modulation has a rich history of research, but the results remain to be integrated as a neurocomputational model and applied in a robotic system. Adaptive grip force control as exhibited by humans would enable robots to handle objects with sufficient yet minimal force, thus minimizing the risk of crushing objects or inadvertently dropping them. We investigated the feasibility of grip force control by means of a biological neural approach to ascertain the possibilities for future application in robotics. As the cerebellum appears crucial for adequate grip force control, we tested a computational model of the olivo-cerebellar system. This model takes into account that the processing of sensory signals introduces a 100 ms delay, and because of this delay, the system needs to learn anticipatory rather than feedback control. For training, we considered three scenarios for feedback information: (1) grip force error estimation, (2) sensory input on deformation of the fingertips, and (3) as a control, noise. The system was trained on a data set consisting of force and acceleration recordings from human test subjects. Our results show that the cerebellar model is capable of learning and performing anticipatory grip force control closely resembling that of human test subjects despite the delay. The system performs best if the delayed feedback signal carries an error estimation, but it can also perform well when sensory data are used instead. Thus, these tests indicate that a cerebellar neural network can indeed serve well in anticipatory grip force control not only in a biological but also in an artificial system.

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“…Recently, we examined the functional anatomical correlates of predictive motor control by H 2 15 O PET in healthy subjects performing an automatized grip force/ load force coupling task (Boecker et al 2005). Differing from the clinical study reported above, load forces were not produced by object movements, but by pulling a grasped object against a fixed resistance.…”

Section: The Representation Of Grip Force/load Modulation As Revealedmentioning

confidence: 99%

The representation of predictive force control and internal forward models: evidence from lesion studies and brain imaging

et al. 2005

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Force control on the basis of prediction avoids time delays from sensory feedback during motor performance. Thus, self-produced loads arising from gravitational and inertial forces during object manipulation can be compensated for by simultaneous anticipatory changes in grip force. It has been suggested that internal forward models predict the consequences of our movements, so that grip force can be programmed in anticipation of movement-induced loads. The cerebellum has been proposed as the anatomical correlate of such internal models. Here, we present behavioural data from patients with cerebellar damage and data from brain imaging in healthy subjects further elucidating the role of the cerebellum in predictive force control. Patients with cerebellar damage exhibited clear deficits in the coupling between grip force and load. A positronemission-tomography (PET) paradigm that separated the process of the grip force/load coupling from the isolated production of similar grip forces and loads was developed. Interaction and conjunction analyses revealed a strong activation peak in the ipsilateral posterior cerebellum particularly devoted to the predictive coupling between grip force and load. Both approaches clearly demonstrate that the cerebellum plays a major role in force prediction that cannot be compensated for by other sensorimotor structures in case of cerebellar disease. However, evidence suggests that also extra-cerebellar structures may significantly contribute to predictive force control: (1) grip force/load coupling may also be impaired after cerebral and peripheral sensorimotor lesions, (2) a coupling-related activation outside the cerebellum was observed in our PET study, and (3) the scaling of the grip force level and the dynamic grip force coupling are dissociable aspects of grip force control.

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Force level independent representations of predictive grip force–load force coupling: A PET activation study

Cited by 39 publications

References 62 publications

Force related activations in rhythmic sequence production

Force related activations in rhythmic sequence production

Anticipatory grip force control using a cerebellar model

The representation of predictive force control and internal forward models: evidence from lesion studies and brain imaging

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