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(Stroke. 2006;37:246.)
© 2006 American Heart Association, Inc.
Research Reports |
From the Human Cortical Physiology Section (L.S., C.W.-H.W., A.K.-L., L.G.C.) National Institute of Neurological Disorders and Stroke/National Institutes of Health, Bethesda, Md; Department of Neurology (L.S.), Program in Rehabilitation, Wake Forest University, Winston-Salem, NC; Department of Neurology (A.K.-L.), Motor Laboratory and Movement Disorders Center, University Hospital Inselspital, Bern Switzerland.
Correspondence to Dr Lumy Sawaki, Department of Neurology, Program in Rehabilitation, Medical Center Blvd, Sticht Center, Ground Floor, Winston-Salem, NC 27157. E-mail lsawaki{at}wfubmc.edu
| Abstract |
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Methods We compared the ability of PNS applied to the (1) arm, (2) leg, and (3) idle time to influence training effects in the paretic hand in 7 chronic stroke patients. The end point measure was the magnitude of UDP.
Results UDP was more prominent with arm stimulation (increased by 22.8%) than with idle time (by 2.9%) or leg stimulation (by 6.4%).
Conclusions PNS applied to the paretic limb paired with motor training enhances training effects on cortical plasticity in stroke patients.
Key Words: nerve stimulation neuronal plasticity stroke stimulation, transcranial magnetic
| Introduction |
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| Methods |
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Patients participated in 3 different sessions randomly ordered in a crossover design and separated by
24 hours (a safe period to avoid carryover effects6). UDP was tested after 2-hour stimulation of (1) ulnar, median, and radial nerves in the paretic hand (arm stimulation); (2) tibial, superficial peroneal, and sural nerves in the paretic leg (leg stimulation; only stroke subjects); and (3) no stimulation (idle time; Figure and also see supplemental Figure I, available online at http://stroke.ahajournals.org). Trains of electrical stimulation consisting of 5 pulses at 10 Hz (1-ms duration each) were delivered every second using a stimulator (Grass; Astro-Med, Inc) at an intensity adjusted to elicit compound muscle action potentials up to 100 µV.6 For electromyographic recordings, disposable electrodes were placed over the belly of abductor pollicis brevis, abductor digiti minimi, and extensor digitorum communis muscles in the upper extremity (arm stimulation) and tibialis anterior muscle and abductor hallucis muscle in the lower extremity (leg stimulation).
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We determined the maximal thumb movement rate that each patient could sustain over 30 minutes. UDP was tested after thumb movements cued by an auditory signal in a direction opposite to the baseline transcranial magnetic stimulation (TMS)evoked movement direction for 30 minutes at each subjects maximal rate. Healthy subjects had a constant rate of 1 Hz.4,5 On each day, subjects received 1 of the 3 interventions (arm, leg-only patients, and idle time; see online supplement, available at http://stroke.ahajournals.org). Motor training was the same in all sessions.4,5 To describe intervention effects on UDP, we defined a training target zone (TTZ) as a window of ±20° centered on the training direction. Our end point measure of UDP was the increase in the proportion of TMS-evoked movements that fell within the TTZ.
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Statistical Analysis
Data were analyzed blindly off-line. Increase in the proportion of TMS-evoked movements in the TTZ was analyzed with a 1-way repeated-measures ANOVA with factor stimulation (3 levels in patients; 2 levels in healthy subjects). Movement threshold, amplitude of motor-evoked potential (MEP), and training kinematics were analyzed using factorial ANOVA with factor stimulation. Fisher post hoc tests were performed. Data are expressed as mean±SE and considered significant if P<0.05.
| Results |
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Motor training alone with idle time was unable to elicit UDP (Figure), consistent with previous results.7 In stroke patients, arm stimulation enhanced training effects eliciting clear UDP (0.23±0.07 increase in the proportion of TMS-evoked thumb movements in the TTZ in reference to baseline; P<0.05) similarly to healthy subjects (0.19±0.09). Within-subject comparison revealed that UDP increased in 5 stroke patients and remained unchanged in 2. Leg stimulation failed to elicit UDP. The magnitude of UDP elicited by arm stimulation was more prominent than any changes elicited by leg stimulation or idle time (P<0.05).
| Discussion |
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Reorganizational changes occur in the central nervous system throughout the lifespan and may sustain functional recovery after brain lesions.1 It has been proposed that somatosensory input, with its ability to drive plastic changes in the motor cortex,2,8 could modulate UDP. For instance, stimulation of the somatosensory cortex in kittens enhanced excitatory postsynaptic potentials in the motor cortex,8 and stimulation of muscle, tactile, and joint afferents activate motor cortical areas in monkeys.9 Stimulation of whiskers in rats enhances c-fos expression,10 which has been postulated to upregulate the expression of neurotrophins that may be involved with dendritic and axonal sprouting. SS enhances excitability of the stimulated body part representation in the motor cortex in healthy subjects6,11 and results in improvements in motor performance in stroke patients.11,12 Our results demonstrate that this intervention may enhance the beneficial effects of a single motor training session on UDP in stroke patients. Combination of SS with training protocols could conceivably be applied in the future to improve the effects of customary rehabilitative interventions.
| Acknowledgments |
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Received May 31, 2005; revision received September 26, 2005; accepted October 14, 2005.
| References |
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2. Asanuma H. Functional role of sensory inputs to the motor cortex. Prog Neurobiol. 1981; 16: 241262.[CrossRef][Medline] [Order article via Infotrieve]
3. Classen J, Liepert A, Wise SP, Hallett M, Cohen LG. Rapid plasticity of human cortical movement representation induced by practice. J Neurophysiol. 1998; 79: 11171123.
4. Butefisch CM, Davis BC, Wise SP, Sawaki L, Kopylev L, Classen J, Cohen LG. Mechanisms of use-dependent plasticity in the human motor cortex. Proc Natl Acad Sci U S A. 2000; 97: 36613665.
5. Sawaki L, Boroojerdi B, Kaelin-Lang A, Burstein AH, Butefisch CM, Kopylev L, Davis B, Cohen LG. Cholinergic influences on use-dependent plasticity. J Neurophysiol. 2002; 87: 166171.
6. Kaelin-Lang A, Luft AR, Sawaki L, Burstein AH, Sohn YH, Cohen LG. Modulation of human corticomotor excitability by somatosensory input. J Physiol. 2002; 540: 623633.
7. Sawaki L, Yaseen Z, Kopylev L, Cohen LG. Age-dependent changes in the ability to encode a novel elementary motor memory. Ann Neurol. 2003; 53: 521524.[CrossRef][Medline] [Order article via Infotrieve]
8. Porter R. Somato-sensory projections to the motor cortex. In: Rowe M, Aitkin L, eds. Neurology and Neurobiology Series. Information Processing in Mammalian Auditory and Tactile Systems. New York: Wiley-Liss 1990 56: 157167.
9. Rosen I, Asanuma H. Peripheral afferent inputs to the forelimb area of the monkey motor cortex: Input-output relations. Exp Brain Res. 1972; 14: 257273.[CrossRef][Medline] [Order article via Infotrieve]
10. Mack KJ, Mack PA. Induction of transcription factors in somatosensory cortex after tactile stimulation. Brain Res Mol Brain Res. 1992; 12: 141147.[Medline] [Order article via Infotrieve]
11. Hamdy S, Aziz Q, Rothwell JC, Hobson A, Thompson DG. Sensorimotor modulation of human cortical swallowing pathways. J Physiol (Lond). 1998; 506: 857866.
12. Conforto AB, Kaelin-Lang A, Cohen LG. Increase in hand muscle strength of stroke patients after somatosensory stimulation. Ann Neurol. 2002; 51: 122125.[CrossRef][Medline] [Order article via Infotrieve]
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