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motor control systems in the brain
organised hierarchically
Premotor/supplementary motor cortex & parietal cortex
responsible for actions plans & goals
Primary motor cortex (basal ganglia connects to top)
which translate the motor plans/goals into specific actions
brain stem (cerebellum connects to top)
spinal cord
provides direct control of muscles via motor neurons & interneurons
muscles
Motor control is carried out by muscles
composed of elastic fibers that can change length & tension
arranged in antagonist pairs
e.g. biceps & triceps
spinal cord
Muscles are controlled by motor neurons in the spinal cord
Motor neurons originate in spinal cord, exit through the ventral root and terminate in the muscle fibers.
Action potential in a motor neuron triggers the release of acetylcholine
neurotransmitter that makes muscle fibers contract
number/frequency of action potentials + number of muscle fibers determine the force the muscle can generate
motor structures
muscles
spinal cord
Subcortical motor structures
brainstems
cerebellum
basal ganglia
brain stem
subcortical motor structure
12 cranial nerves control essential reflexes for keeping us alive e.g eating, breathing, facial expressions
Extrapyramidal tracts → Direct pathways from brainstem nuclei, including substantia nigra, down spinal cord to control posture, muscle tone, movement speed.
cerebellum
subcortical motor structure
Contains more neurons than rest of CNS combined
Controls balance & eye/body coordination
Lesions result in balance/gait problems, ataxia (fine coordination) & attentional, planning and language problems
basal ganglia
subcortical motor structure
The basal ganglia are a key node in the subcortical motor control system
Contains 5 nuclei
caudate, putamen, globus pallidus, subthalamic nucleus & substantia nigra
Critical role in selection & initiation of actions
lesions cause parkisons’s disease
cortical motor regions
primary motor area
secondary motor areas
association motor areas
Primary Motor Cortex (M1)
receives input from almost all cortical motor regions
regulates the activity of spinal motor neurons.
Crossed hemispheric control
Corticospinal → axons that project directly from the cortex to the spinal cord
has Somatotopic organisation → different regions represent different body parts
Can elicit predictable twitches in different regions using TMS.
Lesions to M1 produce hemiplegia, loss of voluntary movements on contralesional side of body
Secondary motor areas
Premotor cortex & supplementary motor area (SMA)
highest parts of the hierarchy
involved in planning & control of movement, either sensory guided or internally guided.
Planning and control of movement
Lesions result in apraxia – patients can produce simple gestures but cannot link them into meaningful actions, e.g. brushing hair.
central pattern generators
how regions enable motor control
neurons in the spinal cord
able to hold a representation of entire pattern of movements required to produce a complex motor act
enables higher level regions to send an simple signal that triggers one of these central pattern commands
no need for higher-level regions to hold the entire representation themselves
Probably evolved to enable actions essential for survival, e.g. running
Brown & Sherrington (1947)
severed spinal cord of cats & placed them on treadmill
even without descending commands from (sub)cortex → produced rhythmic alternating limb movements required to walk
representations of movement plans
neurons can represent the direction of a movement
Coding of movement direction in primary motor cortex
Georgopoulos et al (1995)
require monkeys to move a lever to 1of 8 targets, starting from the centre
Neurons preferred a direction (fire strongly when movement is in that direction)
neurons had same selectivity movement even though the target location changed
neurons prefer multiple directions → population vectors
neuron’s response tuned to broad range of directions
Population vectors
Vector = neuron’s preferred direction & information about strength of firing
Tuning of neurons is broad → prefer several directions
Hard to predict direction of movement from activity of a single neuron
Population vector (sum of individual neuron vectors)
Population vector provides the most accurate estimate of the planned direction of movement
used to predict direction of movement before initiation of movement
brain-machine interfaces
Chapin trained rats to press a lever for reward
measured multiple neuron responses in motor cortex
neural networks learnt the patterns of neuronal activation predicting forces exerted on the lever
switched input to reward delivery system from the lever to the neuronal population vector
mice stopped pressing the lever → learnt about lack of precise correlation between the force exerted & reward
Mice continued to produce cortical signals necessary for moving the lever
Visuomotor
the coordination of neuronal activity between visual-related & motor-related parts of the brain in order to influence behavior and perception.
Visuomotor adaptation
process by which individuals adjust their motor actions in response to changes in visual feedback or environmental conditions
involves learning to modify motor behaviors to compensate for discrepancies between expected & actual sensory information
Effects of transcranial direct current stimulation (tDCS) on visuomotor adaptation
tDCS → electrical currents are applied to the scalp producing changes in the excitability of neurons under the electrode
Galea et al → investigate the different roles of cerebellum & the primary motor cortex
tDCS of the cerebellum led to a faster rate of adapation
tDCS of the motor cortex led to increased retention of adaptation
more error for a longer period of time after the end of adaptation
Patients with lesions in cerebellum, prefrontal cortex & parietal cortex
have deficits in learning to move in novel environments
Cerebellum is important for learning new mapping
involved in the generation of forward models
Time lag between generation of motor commands and movement initiation
generates prediction of sensory consequences of motor command
are essential in visuomotor adaptation – errors used to correct future predictions.
Primary motor cortex (M1) important for consolidating newly learnt mapping
plays a less flexible role and more of an instructive role, passing on motor plans to spinal cord motor neurona
plays a different role in visuomotor adaptation
Effect of transcranial magnetic stimulation of the cerebellum on forward models
Miall et al. (2007)
P were instructed to move their arm to the right when they heard a tone, signaling them to move to a visual target.
task required predicting where the hand would be in the future due to a delay between hearing the tone & initiating movement
Simply generating a motor command when hearing the tone would likely result in missing the target because the trajectory of movement would be outdated by the time the movement was initiated.
under normal conditions, P were generally accurate in hitting the target
role of the cerebellum in motor prediction
transcranial magnetic stimulation (TMS) was applied to disrupt cerebellar function.
When the cerebellum was temporarily disrupted with TMS → path of the hand matched what would be expected if the motor command had been issued 138 milliseconds earlier than when the movement was initiated.
suggests that the cerebellum provides predictions of where the hand will be when the movement is initiated & adjusts the motor command accordingly
key points of motor control
Many different brain regions involved in motor control
Coding of movement direction by population vectors &their use in brain-machine interfaces
Visuomotor adaptation → different roles of cerebellum & M1
Cerebellum: Forward models
M1: consolidation of learning