week 9 action Flashcards
The Anatomy and Control of Motor Structures
see slide 5 for image:
premotor and supplementary motor cortex regions > motor cortex > brainstem > spinal cord > output to muscles
premotor and supplementary motor cortex regions > basal ganglia > either back to pmsmcr or on to > motor cortex >< brainstem > spinal cord > output to muscles
premotor and supplementary motor cortex regions > cerebellum > back to pmsmcr or on to > MC > BS > SC > output to muscles
Overview of the motor pathways.
Note hierarchical structure
All connections to the arms and legs originate in the spinal cord. The spinal signals are influenced by inputs from the brainstem and various cortical regions, whose activity in turn is modulated by the cerebellum and basal ganglia. Thus control is distributed across various levels of a control hierarchy. Sensory information from the muscles is transmitted back to the brainstem, cerebellum, and cortex (not shown).
The primary outputs of the basal ganglia are to primary motor cortex and the ventromedial pathways.
The direct pathway between the basal ganglia and the motor cortex is excitatory for motor movement, whereas the overall effect of the indirect pathway through the internal globus pallidus (GPi) is inhibitory.
A motor unit consists of the extrafusal fibers innervated by a single alpha motor neuron.
A motor program is one in which a movement that, once triggered, continues automatically until its completion.
Alpha motor neurons cause the muscles to contact and lengthen. Gamma motor neurons innervate the muscles spindles in the belly of the muscle, maintaining firing of the alpha neurons in the presence of load and ensuring joint angles are constant under load.
The Neuroanatomy of the Motor Systems
Pyramidal
Corticospinal (Cortex > spine one synapse)
Axons can exceed 1 meter
Origin layers IV, V primary motor cortex
Extrapyramidal
Origins: brain stem, basal ganglia, cerebellum
Terminate in spinal cord by function
Moderating influence by frontal Cortex
pyramidal vs extrapyramidal
see slide 7 / 8 / 9
The brain innervates the spinal cord via the pyramidal and extrapyramidal tracts. The pyramidal (corticospinal) tract originates in the cortex, and almost all of the fibers cross over to the contralateral side at the pyramids. Tracts that do not travel through the medullary pyramids—the extrapyramidal tracts—originate in various subcortical nuclei and terminate in both contralateral and ipsilateral regions of the spinal cord. Termination is in the ventral horn of the spinal cords.
The basal ganglia and the cerebellum are two prominent subcortical components of the motor pathways.
see slide 8
The basal ganglia proper include the caudate, putamen, and globus pallidus, three nuclei that surround the thalamus. Functionally, however, the subthalamic nuclei and substantia nigra also are considered part of the basal ganglia. The cerebellum sits below the posterior portion of the cerebral cortex. All cerebellar output originates in the deep cerebellar nuclei.
Even though the primary outputs of the basal ganglia are to primary motor cortex and the ventromedial pathways, the basal ganglia get input from all regions of the cortex.
As a person becomes proficient in a behavior, the control of the process is transferred to the basal ganglia.
Damage to the basal ganglia would be expected to produce difficulties in motor movements.
Damage to the caudate nucleus or putamen in rats would be expected to impair instrumental conditioning.
Cerebellum involves motor coordination, balance and eye movement calibration.
Motor areas of the cerebral cortex.
Motor areas of the cerebral cortex. Area 4 is the primary motor cortex (M1). Brodmann area 6 encompasses the supplementary motor area (SMA) on the medial surface and premotor cortex (PMC) on the lateral surface. Area 8 includes the frontal eye fields. Inferior frontal regions (area 44) are involved in speech. Regions of parietal cortex associated with the planning and control of coordinated movement include S1, the primary somatosensory cortex, secondary somatosensory areas, and posterior and inferior parietal regions.
Computational Issues in Motor Control
slide 11 example
Similarities in form for different effector systems illustrate intermediate influence on actions
Motor representations are not linked to particular effector systems. These five productions of the words cognitive neuroscience were produced by the same person moving a pen with the right hand (a), the right wrist (b), the left hand (c), the mouth (d), and the right foot (e). The productions show a degree of similarity, despite the vast differences in practice writing with these five body parts.
Parameters involved in motor control
possible mental operations/computations:
- seelection - eg match fingers to keys/notes
- sequence > eg group notes into a phrase
- Force > eg strike accented notes with greater force
- timing > eg establish rhythm
Goal Selection and Action Planning
Actions Goals and Movement Plans
The affordance competition hypothesis
Opportunities
Real-time
Evolved
The affordance competition hypothesis
Cisek
Process of what to do (action selection) - competition part. This depends on internal drive states, longer-range goals, rewards and costs.
How to do it (specification) affordance component – we do what the environment allows us to do. We are always planning our next movement.
affordance competition hypothesis sketch
slide 16
Schematic of the processes and pathways when choosing to reach for one object among a display of many objects. The multiple pathways from visual cortex across the dorsal stream correspond to action plans for reaching to the different objects. The thickness of the arrows and circles indicate the strength for each competing plan. Selection is influenced by many sources (red arrows). The movement (green arrow) results in visual feedback of the action and results in the competition starting anew, but now in a different context.
The motor cortex regions in the prefrontal lobes are important in the control and planning of complex motor sequences.
Lesions to the vestibulocerebellum lead to postural instability and difficulty in keeping one’s eyes fixed on a visual object despite head or body movements.
The Brain–Machine Interface
Prosthetics
Motor neurons fire to code intended movements so …
Human machine interfaces are being built to give options for treating plegias and paralysis
brain interfance steps
1.Record several
neurons in motor
cortex during lever-press
training
2. Connect neural interface to robot arm. The population vector can be used to move the arm
brain training rats
Rats can be trained to use a lever to control a robot arm that delivers them drops of water. When several neurons in the primary motor cortex of the rat are recorded while the animal presses the lever, population vectors can be discerned that correlate with the actual movement. The experimenters then change the paradigm so that lever movement doesn’t control the robot arm, but rather the population vectors from the cells in the rat’s brain tell the robot arm where to move. Soon, all the rat has to do is think about moving the lever and the robot arm magically delivers water!
brain machine interfaced example with MN
Brain–machine interface used by M.N. (a) The size of the implanted electrode device in relation to a U.S. penny. (b) A magnified image of the recording electrode array. (c) The location in the precentral gyrus where the electrode array was implanted. (d) The subject M.N. with the implanted device. He is controlling a cursor on the computer screen with his neural activity.
(e) The firing of one cell during four different conditions in which M.N. was cued to imagine moving his hand up, down, left, or right. The cell shown here fired best when M.N. imagined moving his hand to the right; other cells fired selectively when M.N. imagined moving his hand left, up, or down. When information from all of the cells recorded from the implanted electrode was combined, the desired direction of movement could be predicted. Once the BMI device learned how the pattern of M.N.’s activity correlated with the desire to move in these directions, M.N. could begin to use his intentions to move a cursor wherever he chose. Using this technology, M.N. was also able to open simulated e-mails, operate a television, open and close a prosthetic hand, and move a robotic arm. Such technology holds great promise for people like M.N., who cannot otherwise physically interact with their environment.