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Research September 2nd, 2010 I defended my PhD thesis entitled Cerebral reorganization and motor imagery after flexor tendon repair. Below you may find the summary. The full thesis can be downloaded here. My other work can be found in my Resumé. Cerebral reorganization after flexor tendon repair At the start of this PhD trajectory, little clinical
evidence existed about the cerebral consequences of postoperative
immobilization after flexor tendon injury. The pilot positron emission
tomography (PET) study presented in chapter 2 demonstrated a clear change in
cerebral activation patterns involved in finger flexion. After six weeks of
relative immobilization following flexor tendon repair, there was increased
parietal (and cingulate) activation. This disappeared after six weeks of active
use of the hand. Furthermore, after regaining active control of finger flexion
improved skill was associated with prominent putamen activation, which was
remarkably low at the initial measurement immediately after the splinting
period. In the larger PET study presented in chapter 3, these results were
largely reproduced and sharpened. Immediately after the splinting period
increased posterior parietal activation was found, although only in left sided
injuries. Again, this disappeared after active use of the hand. Changes in
activation in the cingulate cortex, however, could not be reproduced in the
larger group. The increase in activation in the contralateral putamen which was
particularly low in the first scanning session and in the insula increase after
active use was confirmed in the larger patient group. The initial parietal activation was explained to
reflect an increased demand on a body scheme representation needed to instruct
the appropriate movement1;2. Putamen activity suggests that simple movements have
been relearned and that an improved selection of specific muscles are used
compared to the first study3-7. Insular activity relates to enhanced efficiency of
the related stimulus response associations8;9. In skilled movement, suppression of unwanted muscle
contractions is a characteristic feature, in which the basal ganglia play an
important role4;10. This was supported by our EMG findings which showed
insufficient flexor relaxation during serial contraction after six weeks of
immobilization, which had resolved after active use of the hand. Theoretically, one might argue that the absence of putamen
activation as we found in the first PET session reflected the normal base-line,
while the increased activation in the second session reflected excessive
practice. However, in chapter 4 we showed in a functional magnetic resonance
imaging (fMRI) study that in healthy subjects, performance of the same ‘double
flexion’ task evoked activation of the contralateral putamen. These subjects
showed significant bilateral activation in the insula and no significant
activation in the parietal cortex, a distribution similar to our patients in
the final scan session. Therefore we concluded that a six week period of
relative hand immobilization induces a temporary loss of efficient cerebral
control of hand movement (characterized by increased cortical demand and reduced
striatal involvement). A theoretical drawback of the healthy subject study was
that fMRI results were compared to PET results obtained in patients. After fMRI
became available for research in our institution, the local ethical committee
did not approve a repetition of our PET study with healthy subjects due to the
radioactive isotopes administered. Although both PET and fMRI are capable of
measuring regional cerebral activation, they are not
identical11. In the fMRI study on hand movement in
healthy subjects we further addressed the question whether the control of
particularly finger flexion would be more closely embedded in circuitry
implicated in purposeful movements, such as grasping compared with finger
extension. We found that left hand finger flexion contrasted to extension was related to significant activation in
the ipsilateral (left) parietal cortex indicating that flexion demands
higher-order motor control mechanisms more than extension12-17. Moreover subtle differences were found in the
activation of the contralateral sensorimotor cortex between finger flexion and
extension. Finger flexion extended more lateral to the cerebral convexity where
it meets the premotor cortex, while finger extension was found deep in the
central sulcus. This gives an extra dimension to the current knowledge of
functional segregation of the primary motor cortex. Up to now functional
segregation of body parts and proximal-distal segregation was well known18-21, but this is the first time that segregation of antagonizing
muscles of the same body part was suggested. The main objective of the thesis was to determine
whether motor imagery during the immobilization period after flexor tendon
repair results in a faster recovery of hand function. While several hand
assessment tools currently exist such as questionnaires, range of motion and
other functional tests, they commonly do not focus on central (motor) control
processes that lead to hand movements22-25. Instead they focus on the results of a specific
performance measure such as subjective satisfaction, force or success rate of a
task. The time that elapses between a stimulus and the start
of a movement reflects time required to process and prepare the movement26;27. Chapter 5 shows the use of a simple preparation time
procedure (pressing buttons on a keyboard) to assess hand function. In healthy
subjects a high test-retest reliability coefficient was found. Another
important finding in healthy subjects was that no difference in preparation
time was seen between the dominant and non-dominant hand. This justified the
use of results of the uninjured hand as a ‘pre-injury’ state, which implied
that worsening and improvement across time could be followed. While healthy
subjects showed a learning effect six weeks after the initial measurement,
patients after flexor tendon repair deteriorated significantly. This concerned
mainly the injured side, but the uninjured side was also affected. This
demonstrated additional support for the fact that immobilization after tendon
repair leads to changes in the central control of finger movements. Measuring
preparation time gives some insight into these central control mechanisms of
finger flexion. In
chapter 6 we introduced another hand outcome test, one that reflects underlying
motor control processes28-30. This test records kinematic parameters related to
the drawing of triangles on a graphics tablet. In healthy subjects we
demonstrated a linear trade-off between speed and accuracy of drawing. This
enabled calculation of deviation in drawing for a standard drawing speed,
allowing the comparison of different measurements. A high test-retest
reliability coefficient was found. We also showed a better performance of the
dominant hand over the non-dominant hand, suggesting sensitivity for hand
skills. This was further supported by the fact that tendon injury patients
performed worse with their operated hand, after six weeks of splinting,
compared with their uninjured hand. This difference had disappeared another six
weeks later. It was the first time that analysis of kinematic parameters was
used for the study of functional recovery after tendon repair. The above mentioned hand function
tests and other modalities of hand function were used to determine the effects
of motor imagery during rehabilitation after flexor tendon repair (chapter 7).
The results indicated that motor imagery indeed improves hand function at the
level of central motor control, as reflected by the change in preparation time,
while other (more peripheral) modalities remained unaffected. However, subjects
in the motor imagery group were more severely injured than subjects in the
control group, which may have led to an underestimation of the effects of motor
imagery. This factor may be eliminated by a larger study or case controlled
study which may also provide more power. Since motor imagery is primarily a central process it
is no surprise that central effects were found while peripheral properties such
as muscle strength or range of motion were not affected by it31;32. This is consistent with the results of earlier
studies with healthy subjects demonstrating similar effects of motor imagery on
preparation time33. The effective use of motor imagery has already been
described several times in rehabilitation after central nervous system
disorders34-37, but until now no studies appeared in the domain
of tendon surgery.
To conclude, it seems plausible to argue that the
obtained central effects of
immobilization after tendon repair may be generalized towards all therapies
which include immobilization. Therefore, from a neuroscientific viewpoint it is
important to prevent immobilization or when this is not possible to minimize
the duration of the immobilization period. If immobilization is inevitable due
to the nature of the injury, motor imagery may be used as an additional tool to
maintain the cerebral organization during the immobilization period to prevent
some adverse effects of immobilization by updating the system with ‘offline’
sensory information. Whether motor imagery may shorten the rehabilitation
period needs further research. Due to the long rehabilitation period a
shortening of rehabilitation after flexor tendon repair has also clear
socio-economical advantages. At a more basic level,
future research might be
directed towards unravelling the dynamics of interactions between the basal
ganglia and various cortical regions during
immobilization. One of the emerging questions is whether, and how, motor
imagery may prevent functional deterioration in the basal ganglia. In addition
it needs to be demonstrated whether the pattern of cerebral activations related
to motor imagery of a distinct movement remains robust during the time this
movement cannot be performed as a consequence of the immobilization. In this
respect, one may consider serial imaging (fMRI) of healthy subjects and
patients after flexor tendon repair comparing motor imagery and a control
group. 1. de Jong BM, van der Graaf FH, Paans AM. Brain activation related to the
representations of external space and body scheme in visuomotor control. Neuroimage 2001; 14: 1128-35. 2.
Poizner H, Clark MA, Merians AS et al. Joint coordination deficits in
limb apraxia. Brain 1995; 118: 227-42. 3.
Jueptner M,.Weiller C. A review of
differences between basal ganglia and cerebellar control of movements as
revealed by functional imaging studies. Brain
1998; 121: 1437-49. 4.
Mink JW,.Thach WT. Basal ganglia motor
control. II. Late pallidal timing relative to movement onset and inconsistent
pallidal coding of movement parameters. J. Neurophysiol. 1991; 65: 301-29. 5. van der Graaf FH, de Jong BM, Maguire RP,
Meiners LC, Leenders KL. Cerebral activation related to skills practice in a double serial
reaction time task: striatal involvement in random-order sequence learning. Brain Res. Cogn. Brain Res. 2004; 20: 120-31. 6.
van der Graaf FH, Maguire RP, Leenders
KL, de Jong BM. Cerebral activation related to implicit sequence learning in a
Double Serial Reaction Time task. Brain
Res. 2006; 1081: 179-90. 7.
Mink JW. The Basal Ganglia and
involuntary movements: impaired inhibition of competing motor patterns. Arch. Neurol. 2003; 60: 1365-8. 8.
Fink GR, Frackowiak RS, Pietrzyk U,
Passingham RE. Multiple nonprimary motor areas in the human cortex. J. Neurophysiol. 1997; 77: 2164-74. 9.
Weiller C, Chollet F, Friston KJ, Wise
RJ, Frackowiak RS. Functional reorganization of the brain in recovery from
striatocapsular infarction in man. Ann. Neurol.
1992; 31: 463-72. 10.
de Jong BM,.Paans AM. Medial versus
lateral prefrontal dissociation in movement selection and inhibitory control. Brain Res. 2007; 1132: 139-47. 11.
Sadato N, Ibanez V, Campbell G et al. Frequency-dependent changes of
regional cerebral blood flow during finger movements: functional MRI compared
to PET. J. Cereb. Blood Flow Metab.
1997; 17: 670-9. 12.
Heilman KM, Rothi LJG. Apraxia. Clinical neuropsychology, pp 131-50. New
York: Oxford University Press, 1993. 13.
Andersen RA,.Buneo CA. Intentional maps
in posterior parietal cortex. Annu. Rev. Neurosci.
2002; 25: 189-220. 14.
Binkofski F, Buccino G, Posse S et al. A fronto-parietal circuit for
object manipulation in man: evidence from an fMRI-study. Eur. J. Neurosci. 1999; 11: 3276-86. 15.
Ehrsson HH, Fagergren A, Johansson RS,
Forssberg H. Evidence for the involvement of the posterior parietal cortex in
coordination of fingertip forces for grasp stability in manipulation. J. Neurophysiol. 2003; 90: 2978-86. 16.
Jancke L, Kleinschmidt A, Mirzazade S,
Shah NJ, Freund HJ. The role of the inferior parietal cortex in linking the
tactile perception and manual construction of object shapes. Cereb. Cortex 2001; 11: 114-21. 17.
Wise SP, Boussaoud D, Johnson PB,
Caminiti R. Premotor and parietal cortex: corticocortical connectivity and
combinatorial computations. Annu. Rev. Neurosci.
1997; 20: 25-42. 18.
Dechent P,.Frahm J. Functional
somatotopy of finger representations in human primary motor cortex. Hum. Brain Mapp. 2003; 18: 272-83. 19.
Flanders M. Functional somatotopy in
sensorimotor cortex. Neuroreport
2005; 16: 313-6. 20.
Hlustik P, Solodkin A, Gullapalli RP,
Noll DC, Small SL. Somatotopy in human primary motor and somatosensory hand
representations revisited. Cereb. Cortex
2001; 11: 312-21. 21.
Schieber MH. Constraints on somatotopic
organization in the primary motor cortex. J.
Neurophysiol. 2001; 86: 2125-43. 22.
Buck-Gramcko D, Dietrich FE, Gogge S. Evaluation
criteria in follow-up studies of flexor tendon therapy. Handchirurgie 1976; 8: 65-9. 23.
Chung KC, Pillsbury MS, Walters MR,
Hayward RA. Reliability and validity testing of the Michigan Hand Outcomes
Questionnaire. J. Hand Surg.-Am. Vol.
1998; 23: 575-87. 24.
Elliot D,.Harris SB. The assessment of
flexor tendon function after primary tendon repair. Hand Clin. 2003; 19: 495-503. 25.
Mathiowetz V, Weber K, Volland G,
Kashman N. Reliability and validity of grip and pinch strength evaluations. J. Hand Surg.-Am. Vol. 1984; 9: 222-6. 26.
MacDonald CJ,.Meck WH. Systems-level
integration of interval timing and reaction time. Neurosci. Biobehav. Rev. 2004; 28: 747-69. 27.
Sternberg S. Memory-scanning: mental
processes revealed by reaction-time experiments. Am. Sci. 1969; 57: 421-57. 28.
Hulstijn W, Van Galen GP. Levels of
motor programming in writing familiar and unfamiliar symbols. In Colley AM,
Beech JR, eds. Cognition and action in
skilled behaviour, pp 65-85. Amsterdam: Elsevier, 1988. 29.
Smits-Engelsman BCM, Van Galen GP,
Portier SJ. Psychomotor development of handwriting proficiency: a
cross-sectional and longitudinal study on developmental features of
handwriting. In Faure C, Keuss P, Lorette G, Vinter A, eds. Advances in handwriting and drawing: a
multidisciplinary approach, pp 187-205. Paris: Europia
Press, 1994. 30. van der Plaats RE,.Van Galen GP. Effects of spatial and motor demands in
handwriting. J. Mot. Behav. 1990; 22:
361-85. 31.
Lorenzo J, Ives JC, Sforzo GA.
Knowledge and imagery of contractile mechanisms do not improve muscle strength.
Percept. Mot. Skills 2003; 97: 141-6. 32.
Mulder T, de Vries S, Zijlstra S.
Observation, imagination and execution of an effortful movement: more evidence
for a central explanation of motor imagery. Exp. Brain Res. 2005; 163: 344-51. 33. Li S, Stevens JA, Kamper DG, Rymer WZ. The movement-specific effect of motor
imagery on the premotor time. Motor
Control 2005; 9: 119-28. 34.
Cramer SC, Orr EL, Cohen MJ, Lacourse
MG. Effects of motor imagery training after chronic, complete spinal cord
injury. Exp. Brain Res. 2007; 177: 233-42. 35.
Jackson PL, Lafleur MF, Malouin F,
Richards C, Doyon J. Potential role of mental practice using motor imagery in
neurologic rehabilitation. Arch. Phys. Med.
Rehabil. 2001; 82: 1133-41. 36.
Mulder T. Motor imagery and action
observation: cognitive tools for rehabilitation. J. Neural Transm. 2007; 114: 1265-78. 37. Stevens JA,.Stoykov ME. Using motor imagery in the rehabilitation
of hemiparesis. Arch. Phys. Med. Rehabil. 2003; 84: 1090-2. | |||
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Last update: April 26, 2010 | |||
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