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ProprioceptionRelated Evoked Potentials

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Title: ProprioceptionRelated Evoked Potentials


1
Proprioception-Related Evoked Potentials
  • Presented by
  • Efrat Barak

2
Objectives
  • The objectives of this work are
  • To introduce Proprioceptive Evoked Potentials
    (PEPs) and their stimulation, recording, and
    analysis techniques.
  • To discuss the differences between PEPs and
    sensory evoked potentials (SEPs) that are
    elicited by electrical nerve stimulation.

3
What Are Proprioceptive Evoked Potentials?
  • Proprioception is sensing the body,
  • i.e. gathering information about
  • The bodys position in space
  • Active and passive movements
  • Force that is applied by the body
  • Such data is collected by receptors of the
    somatosensory system, named proprioceptors, which
    report on stretching of muscles and angles of
    joints. For example, muscle spindles and Golgi
    tendon organs are proprioceptors.
  • Due to independent studies of EPs related to
    proprioception, a number of different terms have
    emerged in this field

Arnfred et al., 2000 Bear et al., 2001
4
Termination
  • The most common terms are
  • Proprioceptive Evoked Potentials (PEPs) are
    potentials evoked by addition of weight to a hand
    held load. Arnfred, et al., 2000
  • Proprioceptive Event Related Potentials (PERPs)
    are potentials evoked by a stimulation similar to
    the former one, but with an oddball paradigm
    Arnfred, 2005
  • Proprioception-related evoked potentials are
    potentials evoked by passive body movements
    Seiss et al., 2002
  • For convenience, the term Proprioceptive Evoked
    Potentials (PEPs) will be used here to describe
    all potentials evoked by stimulation of
    proprioceptors, e.g. EPs evoked by active or
    passive movements. Notice that this does not
    include potentials evoked by electrical
    stimulation.

5
Example PEPs Related to Finger Movement
  • Bötzel et al. 1997 studied potentials evoked by
    finger movement in 11 healthy subjects.
  • Post-movement potentials were evoked by three
    stimulation methods
  • The subject actively moved his right middle
    finger to a given position (active movement).
  • The finger was passively stretched by a
    technician that pulled a string that was tapped
    to the finger (passive movement). The finger
    was extended to the same position as in (1), in a
    comparable velocity.
  • The median nerve was electrically stimulated,
  • and the somatosensory evoked potentials
  • (SEPs) were recorded.

6
Example PEPs Related to Finger Movement
  • During stimulation, EEG was recorded from the
    scalp using the 10-20 system.
  • Source analysis was performed using
  • the BESA program.
  • Results
  • The active and passive EPs were very similar, and
    both included an N2/P2 complex at about 80ms
    after stimulus onset (Fig. 1), with stronger P2
    in the passive case.
  • In the SEPs, N20/P20 complex was identified (data
    not shown).

Fig. 1. Thick line recording from electrode 3.
Thin line finger acceleration trace.
7
Example PEPs Related to Finger Movement
  • The dipoles of the N2/P2 and the N20/P20
    complexes were attributed to the same area in the
    contralateral hemisphere, but differed in dipole
    orientation (Fig. 2)
  • SEPs N20/P20 dipole pointed anterior-medially.
  • Active and passive N2/P2 dipoles pointed
    posteriorly.

Fig. 2. Average dipole locations. Back - active
movement N2/P2 dipole. Light grey - passive
movement N2/P2 dipole. Dark grey - median nerve
SEP N20/P20 dipole. The angular part signals the
range of orientations of the positive dipoles
ends.
8
Example PEPs Related to Finger Movement
  • Discussion Because the EPs of the active and
    passive stimuli were very similar, they must be
    purely somatosensory (a motor component would
    have appeared in the active condition only).
  • What is the origin of this somatosensory
    information?
  • Cutaneous afferents and joint afferents are ruled
    out because they usually do not report joint
    position.
  • Golgi tendon organs are also not an option,
    because they are not modulated by passive joint
    movements.
  • Primary muscle spindle afferents of the forearm
    are the best candidates.
  • By contrast, it has been established that the
    median nerve SEPs originates in cutaneous and
    joint receptors, and has very little contribution
    from muscle spindles Seiss et al. 2003.

9
Example PEPs Related to Finger Movement
  • Conclusion The N2/P2 complex arises from
    cerebral processing of proprioceptive information
    sent from muscle spindles to the brain.
    Therefore, the potentials elicited by passive and
    active movements are PEPs.
  • Interestingly, the dipole analysis indicated that
    the proprioceptive information arrives to S1.
    This result will later be compared to those of
    other researches.

10
Example II PEPs Related to Wrist Movement
  • Arnfred et al. 1999 studied potentials evoked
    by a change of load that the subject held (Fig
    3).
  • Stimulation linear increment of the load from
    400g to 480g , in steps of 20g in 10ms. The
    maximal load (480g) was maintained for 100ms. The
    stimulus was described as carrying a basket of
    apples when another apply is suddenly thrown into
    it.

Fig. 3. Experimental set-up
  • EEG was recorded from 10 right-handed subjects
    using the 10-20 system

11
Example II PEPs Related to Wrist Movement
  • Results the major components of the EPs were
    (Fig. 4)
  • Contralateral parietal waves P70\P190 at C3
  • Frontal N70 wave at Fz
  • P100 wave at Cz
  • Discussion
  • The pattern of very close frontal and parietal
    activation with reverse polarities resembles the
    PEPs of passive movements that were recorded by
    Bötzel et al. their data is not shown, and is
    significantly different from median nerve SEPs.

Fig. 4. Grand average of the EPs. Arrows mark
stimulus onset.
12
Example II PEPs Related to Wrist Movement
  • Moreover, the stimulus was perceived as applied
    force, i.e. neither tactile nor passive movement.
  • Conclusion A brisk change of hand held load
    elicits PEPs with intermediate latency.
  • In a later work, Arnfred 2005 studied the EPs
    elicited by a similar method, using an oddball
    paradigm. The subjects had to recognize the type
    of stimulus (frequent 40g / rare 100g) and
    count the oddball stimuli.
  • This study showed that P100 of the two stimuli
    hardly differed, while later components were
    influenced by the context. Since P100 is related
    to specific processing in S2 cortex, the author
    concluded that the proprioceptive stimulus is
    processed within the first 100ms.

13
Sensitivity of PEPs to Movement Parameters
  • Seiss et al. 2002 studied the influence of
    movement parameters on PEPs elicited by passive
    movements.
  • Stimulation was performed by a robot that
    imposed four types of passive finger movements
    (Fig 5)
  • Extension to 15mm
  • Extension to 25mm
  • Flexion to 15mm
  • Flexion to 25mm
  • During stimulation, EEG was recorded
  • using the 10-20 system. Additionally,
  • the authors recorded median nerve
  • SEPs elicited by electrical stimulation.

Fig. 5. The robot that imposed passive finger
movements. Seiss et al., 2003
14
Sensitivity of PEPs to Movement Parameters
  • Results
  • All PEPs elicited by the four passive movement
    stimuli were similar, with a frontal negative
    wave measured at electrode FC1 at about 90ms
    (denoted N90).
  • The four PEPs differed only in the wave duration
    N90 was about 30ms longer for 25mm stimuli than
    for 15mm stimuli. Movement direction did not
    matter (Fig. 6).
  • This prolongation was roughly
  • proportional to the difference
  • between the movement durations.
  • The SEP showed the well known
  • N20/P20 pattern.

Fig. 6. PEP grand average. Solid line 15mm
stimulus, dashed line 25mm stimulus.
15
Sensitivity of PEPs to Movement Parameters
  • Source analysis yielded a single dipole for each
    PEP. The dipoles were in close proximity, and
    were anterior to the source of the SEP.
  • Moreover, the analysis showed that the PEPs are
    generated in the motor cortex.
  • Conclusion
  • The authors suggested the following longer
    movements may give rise to contributions of other
    neuronal populations to the PEP, which are not
    revealed in PEPs elicited by short movements.

16
Conclusion PEPs Features
  • Several corollaries can be made from the
    described studies
  • PEPs reflect the arrival and processing of
    proprioceptive information at the cortex.
  • PEPs can be elicited by
  • Active movements
  • Passive movements
  • Weight lifting
  • Muscle stretching (which was not discussed here)
  • However, electrical stimulation elicits SEPs, not
    PEPs.
  • It has been recently suggested that the first
    100ms of PEPs reflects processing of the
    proprioceptive stimulus, and later components are
    changed by the context.

17
Conclusion PEPs Features
  • The pattern of PEPs
  • Comparing the described studies indicates that
    PEPs are usually characterized by a frontal
    negative component. The latency of this component
    varies between different experiments, probably
    due to differences in the stimulation techniques
    and the body part that is moving.
  • Passive and active movements yield PEPs that are
    very similar, both in latencies and in
    amplitudes.
  • While a number of studies concluded that PEPs are
    generated in the sensory cortex, a recent study
    indicated that PEPs also have contributions from
    the motor cortex.

18
Comparison of PEPs and Electrically Evoked SEPs
  • Origin PEPs reflect input from muscle spindle
    afferents only. On the contrary, median nerve
    SEPs reflect inputs from cutaneous afferents, as
    well as negligible inputs from muscle spindle
    afferents. Practically, it can be assumed that
    PEPs and SEPS reflect different inputs Seiss et
    al., 2003.
  • Pattern The primary component of PEPs has a
    frontal-negative distribution, while the N20/P20
    component of the median nerve SEP has a
    parietal-negative/frontal-positive distribution.
  • Cortical generator N2/P2 components of PEPs are
    generated in the sensorimotor cortrex, and their
    source is 7-10 mm anterior to the source of
    N20/P20 complex of the median nerve SEPs.

19
The Benefit in PEPs Research
  • Investigation of PEPs seems to hold promise in
    two fields
  • Movement disorders. analysis of PEPs isolates
    information about the proprioceptive feedback
    that exists in the sensory-motor loop. Thus, PEPs
    investigation may improve our understanding of
    movement disorders such as Huntingtons disease
    and Parkinsons disease.
  • Neuropsychiatric disorders. Since the perception
    of myself is established on integration of
    proprioceptive and sensory information, PEPs can
    be utilized for investigating neuropsychiatric
    disorders, e.g. schizophrenia.

Arnfred, 2005 Seiss et al., 2003
20
References
  • Arnfred, S., Chen, A. C., Eder, D., Glenthoj, B.,
    Hemmingsen, R. (2000) Proprioceptive evoked
    potentials in man cerebral responses to changing
    weight loads on the hand. Neurosci Lett, 288,
    111-4.
  • Arnfred, S. M. (2005). Proprioceptive event
    related potentials gating and task effects. Clin
    Neurophysiol, 116, 849-60.
  • Bear, M. F., Connors, B. W., Paradiso, M. A.
    (2001) Neuroscience Exploring the brain.
    Lippincott, Williams, Wilkins, Baltimore MD,
    Chapter 13.
  • Bötzel, K., Eceker, C., Schulze, S. (1997)
    Topography and dipole analysis of reafferent
    electrical brain activity folllowing the
    Breitschaftsponttial. Exp. Brain Res., 114,
    352-361.
  • Seiss, E., Hesse, C.W., Drane, S., Oostenveld,
    R., Wing, A.M., Praamstra, P., (2002)
    Proprioception-related evoked potentials origin
    and sensitivity to movement parameters.
    Neuroimage, 17(1) 461-8.
  • Seiss, E., Praamstra, P., Hesse, C.W., Rickards,
    H. (2003). Proprioceptive sensory function in
    Parkinsons disease and Huntingtons disease
    evidence from proprio-ception-related EEG
    potentials. Exp. Brain Res., 148, 308-319.
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