Sensory-motor coupling

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Sensory-motor coupling is the coupling or integration of the sensory system and motor system. Sensorimotor integration is not a static process. For a given stimulus, there is no one single motor command. "Neural responses at almost every stage of a sensorimotor pathway are modified at short and long timescales by biophysical and synaptic processes, recurrent and feedback connections, and learning, as well as many other internal and external variables". [1]

Contents

Overview

The integration of the sensory and motor systems allows an animal to take sensory information and use it to make useful motor actions. Additionally, outputs from the motor system can be used to modify the sensory system's response to future stimuli. [1] [2] To be useful it is necessary that sensory-motor integration be a flexible process because the properties of the world and ourselves change over time. Flexible sensorimotor integration would allow an animal the ability to correct for errors and be useful in multiple situations. [1] [3] To produce the desired flexibility it's probable that nervous systems employ the use of internal models and efference copies. [2] [3] [4]

Transform sensory coordinates to motor coordinates

Prior to movement, an animal's current sensory state is used to generate a motor command. To generate a motor command, first, the current sensory state is compared to the desired or target state. Then, the nervous system transforms the sensory coordinates into the motor system's coordinates, and the motor system generates the necessary commands to move the muscles so that the target state is reached. [2]

Efference copy

An important aspect of sensorimotor integration is the efference copy. The efference copy is a copy of a motor command that is used in internal models to predict what the new sensory state will be after the motor command has been completed. The efference copy can be used by the nervous system to distinguish self-generated environmental changes, compare an expected response to what actually occurs in the environment, and to increase the rate at which a command can be issued by predicting an organism's state prior to receiving sensory input. [2] [5]

Internal model

An internal model is a theoretical model used by a nervous system to predict the environmental changes that result from a motor action. The assumption is that the nervous system has an internal representation of how a motor apparatus, the part of the body that will be moved, behaves in an environment. [6] [7] Internal models can be classified as either a forward model or an inverse model.

Forward model

This figure depicts an example of combination of a forward model and an inverse model. Here the reference input is the target sensory state that controller (inverse model) will use to compute a motor command. The plant (motor unit) acts out the motor command which results in a new sensory state. This new sensory state can be compared to the state predicted by the forward model to obtain an error signal. This error signal can be used to correct the internal model or the current movement. Basic Internal Model.png
This figure depicts an example of combination of a forward model and an inverse model. Here the reference input is the target sensory state that controller (inverse model) will use to compute a motor command. The plant (motor unit) acts out the motor command which results in a new sensory state. This new sensory state can be compared to the state predicted by the forward model to obtain an error signal. This error signal can be used to correct the internal model or the current movement.

A forward model is a model used by the nervous system to predict the new state of the motor apparatus and the sensory stimuli that result from a motion. The forward model takes the efference copy as an input and outputs the expected sensory changes. [4] Forward models offer several advantages to an organism.

Advantages:

  • The estimated future state can be used to coordinate movement before sensory feedback is returned. [3] [4]
  • The output of a forward model can be used to differentiate between self-generated stimuli and non-self-generated stimuli. [4]
  • The estimated sensory feedback can be used to alter an animal's perception related to self-generated motion. [3]
  • The difference between the expected sensory state and sensory feedback can be used to correct errors in movement and the model. [3]

Inverse model

An inverse model behaves oppositely of a forward model. Inverse models are used by nervous systems to estimate either the motor command that caused a change in sensory information [4] or to determine the motor command that will reach the target state. [6]

Examples

Gaze stabilization

During flight, it is important for a fly to maintain a level gaze; however, it is possible for a fly to rotate. The rotation is detected visually as a rotation of the environment termed optical flow. The input of the optical flow is then converted into a motor command to the fly's neck muscles so that the fly will maintain a level gaze. This reflex is diminished in a stationary fly compared to when it is flying or walking. [1]

Singing crickets

Male crickets sing by rubbing their forewings together. The sounds produced are loud enough to reduce the cricket's auditory system's response to other sounds. This desensitization is caused by the hyperpolarization of the Omega 1 neuron (ON1), an auditory interneuron, due to activation by auditory stimulation. [5] To reduce self-desensitization, the cricket's thoracic central pattern generator sends a corollary discharge, an efference copy that is used to inhibit an organism's response to self-generated stimuli, to the auditory system. [1] [5] The corollary discharge is used to inhibit the auditory system's response to the cricket's own song and prevent desensitization. This inhibition allows the cricket to remain responsive to external sounds such as a competing male's song. [8]

Speech

Sensorimotor integration is involved in the development, production, and perception of speech. [9] [10]

Speech development

Two key elements of speech development are babbling and audition. The linking of a motor action to a heard sound is thought to be learned. One reason for this is that deaf infants do not canonically babble. Another is that an infant's perception is known to be affected by his babbling. One model of speech development proposes that the sounds produced by babbling are compared to the sounds produced in the language used around the infant and that association of a motor command to a sound is learned. [10]

Speech production

Audition plays a critical role in the production and maintenance of speech. As an example, people who experience adult-onset deafness become less able to produce accurate speech. This decline is because they lack auditory feedback. Another example is acquisition of a new accent as a result of living in an area with a different accent. [9] These changes can be explained through the use of a forward model.

In this forward model, the motor cortex sends a motor command to the vocal tract and an efference copy to the internal model of the vocal tract. The internal model predicts what sounds will be produced. This prediction is used to check that the motor command will produce the goal sound so that corrections may be made. The internal model's estimate is also compared to the produced sound to generate an error estimate. The error estimate is used to correct the internal model. The updated internal model will then be used to generate future motor commands. [9]

Speech perception

Sensorimotor integration is not critical to the perception of speech; however, it does perform a modulatory function. This is supported by the fact that people who either have impaired speech production or lack the ability to speak are still capable of perceiving speech. Furthermore, experiments in which motor areas related to speech were stimulated altered but did not prevent the perception of speech. [9]

Patient R.W.

Patient R.W. was a man who suffered damage in his parietal and occipital lobes, areas of the brain related to processing visual information, due to a stroke. As a result of his stroke, he experienced vertigo when he tried to track a moving object with his eyes. The vertigo was caused by his brain interpreting the world as moving. In normal people, the world is not perceived as in moving when tracking an object despite the fact that the image of the world is moved across the retina as the eye moves. The reason for this is that the brain predicts the movement of the world across the retina as a consequence of moving the eyes. R.W., however, was unable to make this prediction. [3]

Disorders

Parkinson's

Patients with Parkinson's disease often show symptoms of bradykinesia and hypometria. These patients are more dependent on external cues rather than proprioception and kinesthesia when compared to other people. [11] In fact, studies using external vibrations to create proprioceptive errors in movement show that Parkinson's patients perform better than healthy people. Patients have also been shown to underestimate the movement of limb when it was moved by researchers. [11] Additionally, studies on somatosensory evoked potentials have evidenced that the motor problems are likely related to an inability to properly process the sensory information and not in the generation of the information.

Huntington's

Huntington's patients often have trouble with motor control. In both quinolinic models and patients, it has been shown that people with Huntington's have abnormal sensory input. Additionally, patients have been shown to have a decrease in the inhibition of the startle reflex. This decrease indicates a problem with proper sensorimotor integration. The " various problems in integrating sensory information explain why patients with HD are unable to control voluntary movements accurately." [11]

Dystonia

Dystonia is another motor disorder that presents sensorimotor integration abnormalities. There are multiple pieces of evidence that indicate focal dystonia is related to improper linking or processing of afferent sensory information in the motor regions of the brain. [11] For example, dystonia can be partially relieved through the use of a sensory trick. A sensory trick is the application of a stimulus to an area near to the location affected by dystonia that provides relief. Positron emission tomography studies have shown that the activity in both the supplementary motor area and primary motor cortex are reduced by the sensory trick. More research is necessary on sensorimotor integration dysfunction as it relates to non-focal dystonia. [11]

Restless leg syndrome

Restless leg syndrome (RLS) is a sensorimotor disorder. People with RLS are plagued with feelings of discomfort and the urge to move in the legs. These symptoms occur most frequently at rest. Research has shown that the motor cortex has increased excitability in RLS patients compared to healthy people. Somatosensory evoked potentials from the stimulation of both posterior nerve and median nerve are normal. [12] The normal SEPs indicate that the RLS is related to abnormal sensorimotor integration. In 2010, Vincenzo Rizzo et al. provided evidence that RLS sufferers have lower than normal short latency afferent inhibition (SAI), inhibition of the motor cortex by afferent sensory signals. The decrease of SAI indicates the presence of abnormal sensory-motor integration in RLS patients. [12]

See also

Related Research Articles

An evoked potential or evoked response is an electrical potential in a specific pattern recorded from a specific part of the nervous system, especially the brain, of a human or other animals following presentation of a stimulus such as a light flash or a pure tone. Different types of potentials result from stimuli of different modalities and types. Evoked potential is distinct from spontaneous potentials as detected by electroencephalography (EEG), electromyography (EMG), or other electrophysiologic recording method. Such potentials are useful for electrodiagnosis and monitoring that include detections of disease and drug-related sensory dysfunction and intraoperative monitoring of sensory pathway integrity.

Alien hand syndrome (AHS) or Dr. Strangelove syndrome is a category of conditions in which a person experiences their limbs acting seemingly on their own, without conscious control over the actions. There are a variety of clinical conditions that fall under this category, which most commonly affects the left hand. There are many similar terms for the various forms of the condition, but they are often used inappropriately. The affected person may sometimes reach for objects and manipulate them without wanting to do so, even to the point of having to use the controllable hand to restrain the alien hand. Under normal circumstances however, given that intent and action can be assumed to be deeply mutually entangled, the occurrence of alien hand syndrome can be usefully conceptualized as a phenomenon reflecting a functional "disentanglement" between thought and action.

<span class="mw-page-title-main">Sensory nervous system</span> Part of the nervous system responsible for processing sensory information

The sensory nervous system is a part of the nervous system responsible for processing sensory information. A sensory system consists of sensory neurons, neural pathways, and parts of the brain involved in sensory perception and interoception. Commonly recognized sensory systems are those for vision, hearing, touch, taste, smell, balance and visceral sensation. Sense organs are transducers that convert data from the outer physical world to the realm of the mind where people interpret the information, creating their perception of the world around them.

Multisensory integration, also known as multimodal integration, is the study of how information from the different sensory modalities may be integrated by the nervous system. A coherent representation of objects combining modalities enables animals to have meaningful perceptual experiences. Indeed, multisensory integration is central to adaptive behavior because it allows animals to perceive a world of coherent perceptual entities. Multisensory integration also deals with how different sensory modalities interact with one another and alter each other's processing.

Sensory substitution is a change of the characteristics of one sensory modality into stimuli of another sensory modality.

Sensory processing is the process that organizes and distinguishes sensation from one's own body and the environment, thus making it possible to use the body effectively within the environment. Specifically, it deals with how the brain processes multiple sensory modality inputs, such as proprioception, vision, auditory system, tactile, olfactory, vestibular system, interoception, and taste into usable functional outputs.

Motor control is the regulation of movements in organisms that possess a nervous system. Motor control includes conscious voluntary movements, subconscious muscle memory and involuntary reflexes, as well as instinctual taxis.

The two-streams hypothesis is a model of the neural processing of vision as well as hearing. The hypothesis, given its initial characterisation in a paper by David Milner and Melvyn A. Goodale in 1992, argues that humans possess two distinct visual systems. Recently there seems to be evidence of two distinct auditory systems as well. As visual information exits the occipital lobe, and as sound leaves the phonological network, it follows two main pathways, or "streams". The ventral stream leads to the temporal lobe, which is involved with object and visual identification and recognition. The dorsal stream leads to the parietal lobe, which is involved with processing the object's spatial location relative to the viewer and with speech repetition.

Sensory gating describes neural processes of filtering out redundant or irrelevant stimuli from all possible environmental stimuli reaching the brain. Also referred to as gating or filtering, sensory gating prevents an overload of information in the higher cortical centers of the brain. Sensory gating can also occur in different forms through changes in both perception and sensation, affected by various factors such as "arousal, recent stimulus exposure, and selective attention."

A sensory cue is a statistic or signal that can be extracted from the sensory input by a perceiver, that indicates the state of some property of the world that the perceiver is interested in perceiving.

In physiology, an efference copy or efferent copy is an internal copy of an outflowing (efferent), movement-producing signal generated by an organism's motor system. It can be collated with the (reafferent) sensory input that results from the agent's movement, enabling a comparison of actual movement with desired movement, and a shielding of perception from particular self-induced effects on the sensory input to achieve perceptual stability. Together with internal models, efference copies can serve to enable the brain to predict the effects of an action.

<span class="mw-page-title-main">Internal model (motor control)</span>

In the subject area of control theory, an internal model is a process that simulates the response of the system in order to estimate the outcome of a system disturbance. The internal model principle was first articulated in 1976 by B. A. Francis and W. M. Wonham as an explicit formulation of the Conant and Ashby good regulator theorem. It stands in contrast to classical control, in that the classical feedback loop fails to explicitly model the controlled system.

In neuroscience, the N100 or N1 is a large, negative-going evoked potential measured by electroencephalography ; it peaks in adults between 80 and 120 milliseconds after the onset of a stimulus, and is distributed mostly over the fronto-central region of the scalp. It is elicited by any unpredictable stimulus in the absence of task demands. It is often referred to with the following P200 evoked potential as the "N100-P200" or "N1-P2" complex. While most research focuses on auditory stimuli, the N100 also occurs for visual, olfactory, heat, pain, balance, respiration blocking, and somatosensory stimuli.

<span class="mw-page-title-main">Motor program</span> Abstract representation of movement

A motor program is an abstract metaphor of the central organization of movement and control of the many degrees of freedom involved in performing an action.p. 182 Signals transmitted through efferent and afferent pathways allow the central nervous system to anticipate, plan or guide movement. Evidence for the concept of motor programs include the following:p. 182

Motor babbling is a process of repeatedly performing a random motor command for a short duration. It is similar to the vocal babbling of infants, where the brain learns the relation between vocal muscle activities and the resulting sounds. However, it was found that the general motor-control system is already exploring itself in the womb, in animals, in a similar way. Originally, the random spasms and convulsions of the embryo were seen as the non-functional consequences of growth. Later it was realized that the motor system is already calibrating its sensorimotor system before birth. After birth, motor babbling in primates continues in the random grasping movements towards visual targets, training the hand–eye coordination system. These insights are used since the early nineteen nineties in models of biological movement control and in robotics. In robotics, it is a system of robot learning whereby a robotic system can autonomously develop an internal model of its self-body and its environment. Early work is by Kuperstein (1991) using a robot randomly positioning a stick in its workspace, while being observed by two cameras, using a neural network to associate poses of the stick with joint angles of the arm. This type of research has led to the research field of developmental robotics.

In neuroscience and motor control, the degrees of freedom problem or motor equivalence problem states that there are multiple ways for humans or animals to perform a movement in order to achieve the same goal. In other words, under normal circumstances, no simple one-to-one correspondence exists between a motor problem and a motor solution to the problem. The motor equivalence problem was first formulated by the Russian neurophysiologist Nikolai Bernstein: "It is clear that the basic difficulties for co-ordination consist precisely in the extreme abundance of degrees of freedom, with which the [nervous] centre is not at first in a position to deal."

Neurocomputational speech processing is computer-simulation of speech production and speech perception by referring to the natural neuronal processes of speech production and speech perception, as they occur in the human nervous system. This topic is based on neuroscience and computational neuroscience.

<span class="mw-page-title-main">Sensory processing disorder</span> Medical condition

Sensory processing disorder is a condition in which multisensory input is not adequately processed in order to provide appropriate responses to the demands of the environment. Sensory processing disorder is present in many people with dyspraxia, autism spectrum disorder and attention deficit hyperactivity disorder. Individuals with SPD may inadequately process visual, auditory, olfactory (smell), gustatory (taste), tactile (touch), vestibular (balance), proprioception, and interoception sensory stimuli.

The bi-directional hypothesis of language and action proposes that the sensorimotor and language comprehension areas of the brain exert reciprocal influence over one another. This hypothesis argues that areas of the brain involved in movement and sensation, as well as movement itself, influence cognitive processes such as language comprehension. In addition, the reverse effect is argued, where it is proposed that language comprehension influences movement and sensation. Proponents of the bi-directional hypothesis of language and action conduct and interpret linguistic, cognitive, and movement studies within the framework of embodied cognition and embodied language processing. Embodied language developed from embodied cognition, and proposes that sensorimotor systems are not only involved in the comprehension of language, but that they are necessary for understanding the semantic meaning of words.

<span class="mw-page-title-main">Interlimb coordination</span> Coordination of the left and right limbs

Interlimb coordination is the coordination of the left and right limbs. It could be classified into two types of action: bimanual coordination and hands or feet coordination. Such coordination involves various parts of the nervous system and requires a sensory feedback mechanism for the neural control of the limbs. A model can be used to visualize the basic features, the control centre of locomotor movements, and the neural control of interlimb coordination. This coordination mechanism can be altered and adapted for better performance during locomotion in adults and for the development of motor skills in infants. The adaptive feature of interlimb coordination can also be applied to the treatment for CNS damage from stroke and the Parkinson's disease in the future.

References

  1. 1 2 3 4 5 Huston, Stephen J; Jayaraman, Vivek (2011). "Studying sensorimotor integration in insects". Current Opinion in Neurobiology. 21 (4): 527–534. doi:10.1016/j.conb.2011.05.030. ISSN   0959-4388. PMID   21705212. S2CID   18086965.
  2. 1 2 3 4 Flanders M (February 2011). "What is the biological basis of sensorimotor integration?". Biol Cybern. 104 (1–2): 1–8. doi:10.1007/s00422-011-0419-9. PMC   3154729 . PMID   21287354.
  3. 1 2 3 4 5 6 Shadmehr, Reza; Smith, Maurice A.; Krakauer, John W. (2010). "Error Correction, Sensory Prediction, and Adaptation in Motor Control" (PDF). Annual Review of Neuroscience. 33 (1): 89–108. doi:10.1146/annurev-neuro-060909-153135. ISSN   0147-006X. PMID   20367317. S2CID   147307.
  4. 1 2 3 4 5 Wolpert, D.; Ghahramani, Z; Jordan, M. (1995). "An internal model for sensorimotor integration" (PDF). Science. 269 (5232): 1880–1882. Bibcode:1995Sci...269.1880W. doi:10.1126/science.7569931. ISSN   0036-8075. PMID   7569931. S2CID   2321011.
  5. 1 2 3 Poulet JF, Hedwig B (March 2003). "A corollary discharge mechanism modulates central auditory processing in singing crickets". J. Neurophysiol. 89 (3): 1528–40. doi:10.1152/jn.0846.2002. PMID   12626626.
  6. 1 2 Kawato M (December 1999). "Internal models for motor control and trajectory planning" (PDF). Current Opinion in Neurobiology. 9 (6): 718–27. doi:10.1016/S0959-4388(99)00028-8. PMID   10607637. S2CID   878792.
  7. Tin C, Poon CS (September 2005). "Internal models in sensorimotor integration: perspectives from adaptive control theory". Journal of Neural Engineering. 2 (3): S147–63. doi:10.1088/1741-2560/2/3/S01. PMC   2263077 . PMID   16135881.
  8. Webb B (May 2004). "Neural mechanisms for prediction: do insects have forward models?" (PDF). Trends Neurosci. 27 (5): 278–82. doi:10.1016/j.tins.2004.03.004. PMID   15111010. S2CID   2601664.
  9. 1 2 3 4 Hickok G, Houde J, Rong F (February 2011). "Sensorimotor integration in speech processing: computational basis and neural organization". Neuron. 69 (3): 407–22. doi:10.1016/j.neuron.2011.01.019. PMC   3057382 . PMID   21315253.
  10. 1 2 Westermann G, Reck Miranda E (May 2004). "A new model of sensorimotor coupling in the development of speech". Brain Lang. 89 (2): 393–400. CiteSeerX   10.1.1.3.6041 . doi:10.1016/S0093-934X(03)00345-6. PMID   15068923. S2CID   3138711.
  11. 1 2 3 4 5 Abbruzzese G, Berardelli A (March 2003). "Sensorimotor integration in movement disorders". Mov. Disord. 18 (3): 231–40. doi:10.1002/mds.10327. PMID   12621626. S2CID   23078987.
  12. 1 2 Rizzo V, Aricò I, Liotta G, et al. (December 2010). "Impairment of sensory-motor integration in patients affected by RLS". J. Neurol. 257 (12): 1979–85. doi:10.1007/s00415-010-5644-y. PMID   20635185. S2CID   13494398.