Cortical Models for Movement Control

Bullock, Daniel

doi:10.1007/978-94-010-0674-3_7

Cited by 4 publications

(2 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This idea (of feedforward control) is now increasingly accepted, and it is consistent with several current theories of the computational structure of motor control, such as inverse dynamics (Jordan, 1989) and theories that locate motor learning and execution in specialized regions of the cortex (Bullock, 2001).…”

Section: Towards a Plausible General Theory Of Motor Controlsupporting

confidence: 69%

Implications of Low Mechanical Impedance in Upper Limb Reaching Motion

Popescu¹,

Rymer²

2003

Motor Control

View full text Add to dashboard Cite

The equilibrium point hypothesis (EPH), much discussed in recent years, is central in a class of theories that posits an important role for muscular mechanical and reflex properties in the control of voluntary movement. We review briefly the findings of our studies testing the idea of equifinality, a major tenet of the EPH, which predicts that terminal limb position will be achieved regardless of transient perturbations in initial position or during ongoing movement. Our observations do not support this prediction of equifinality. We also report our findings that joint viscosity and elastic stiffness estimated during ballistic motion are unexpectedly low, limiting their potential contributions to the regulation either of limb movement trajectory or of limb stability. Taken together, our results imply that neuromuscular mechanical properties are unlikely to be used for regulating voluntary motion, and that other control strategies, most notably the use of feedforward controllers in which muscles act as force generators acting primarily on inertial loads, are more consistent with our observations.

show abstract

Section: Towards a Plausible General Theory Of Motor Controlsupporting

confidence: 69%

Implications of Low Mechanical Impedance in Upper Limb Reaching Motion

Popescu¹,

Rymer²

2003

Motor Control

View full text Add to dashboard Cite

show abstract

“…New Machine Learning and Deep Learning approaches [2] [3] are promising in the healthcare field, but they might not be enough 8 due to the black-box limits [4]. For this reason, it is important to develop 10 tools that provide information on brain activ- Modeling the brain response to motor tasks has been widely studied for different conditions such as movement control [5], [6], [7], [8], motor tasks classification [9], [10], and sequential movements [11], [12], [13]. These works focus on the voluntary movement of the subject, however, the analysis when limbs are externally manipulated has not been deeply explored.…”

Section: Introductionmentioning

confidence: 99%

Modeling the cortical response elicited by wrist manipulation via a nonlinear delay differential embedding

Durán-Santos,

Salazar-Varas,

Etcheverry

2024

Phys Eng Sci Med

View full text Add to dashboard Cite

Regarding motor processes, modeling healthy people's brains is essential to understand people with motor impairments' brain activity. However, little research has been undertaken when external forces disturb limbs, having limited information on physiological pathways. Therefore, in this paper, a nonlinear delay differential embedding model is used to estimate the brain response elicited by externally controlled wrist movement in healthy individuals. The aim is to improve the understanding of the relationship between a controlled wrist movement and the generated cortical activity of healthy people, helping to disclose the underlying mechanisms and physiological relationships involved in the motor event. To evaluate the model, a public database from the Delft University of Technology is used, which contains electroencephalographic recordings of ten healthy subjects while wrist movement was externally provoked by a robotic system. In this work, the cortical response related to movement is identified via Independent Component Analysis and estimated based on a nonlinear delay differential embedding model. To validate the model, a cross-validation analysis is performed, achieving 90.21% ➧ 4.46% Variance Accounted For, and Correlation 95.14% ➧ 2.31%. The proposed methodology allows to select the model degree, to estimate a general predominant operation mode of the cortical response elicited by wrist movement. The obtained results revealed two facts that had not previously been reported: the movement's acceleration affects the cortical response, and a common delayed activity is shared among subjects. Going forward, this approach may pave the way for further analysis of various treatments effectiveness for people with upper limbs motor impairments.

show abstract

Relearning Toward Motor Recovery in Stroke, Spinal Cord Injury, and Cerebral Palsy: A Cognitive Neural Systems Perspective

2006

International Journal of Neuroscience

View full text Add to dashboard Cite

In stroke, spinal cord injury, and cerebral palsy there is denervation of target neuron centers, which are self-organizing maps (SOMs) within the neuraxis. Compensatory reinnervation occurs within those SOMs by acquiring synaptic sprouts from whatever neurons in the neighborhood. Such reorganizations are more often maladaptive than beneficial. Motor recovery, if any appears, is incomplete and compromised. Cognitive systems studies indicate that motor paralysis is due to loss of learning <--> recall balance in those compensated SOMs, which had been locked into a stability <--> plasticity dilemma. Treatment/rehabilitation should aim therefore to first restore this learning related balance. The use of botulinum toxin as a neuromotor relearning tool to improve motor recovery is discussed.

show abstract

Cortical Models for Movement Control

Abstract: Introduction: Constraints on modeling biological neural networks.

Cited by 4 publications

References 62 publications

Implications of Low Mechanical Impedance in Upper Limb Reaching Motion

Implications of Low Mechanical Impedance in Upper Limb Reaching Motion

Modeling the cortical response elicited by wrist manipulation via a nonlinear delay differential embedding

Relearning Toward Motor Recovery in Stroke, Spinal Cord Injury, and Cerebral Palsy: A Cognitive Neural Systems Perspective

Contact Info

Product

Resources

About