Stroke. 2003;34:2866-2870
Published online before print November 13, 2003,
doi: 10.1161/01.STR.0000100166.81077.8A
(Stroke. 2003;34:2866.)
© 2003 American Heart Association, Inc.
Longitudinal Optical Imaging Study for Locomotor Recovery After Stroke
Ichiro Miyai, MD, PhD;
Hajime Yagura, MD;
Megumi Hatakenaka, MD;
Ichiro Oda, PhD;
Ichiro Konishi, PhD
Kisou Kubota, MD, PhD
From the Neurorehabilitation Research Institute, Bobath Memorial Hospital, Osaka (I.M., H.Y., M.H., K.K.), and Technology Research Laboratory, Shimadzu Corporation, Kyoto (I.O., I.K.), Japan.
Correspondence to Ichiro Miyai, MD, PhD, Neurorehabilitation Research Institute, Bobath Memorial Hospital, 1-6-5 Higashinakahama, Joto-ku, Osaka 536-0023, Japan. E-mail webeo{at}ga2.so-net.ne.jp
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Abstract
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Background and Purpose We sought to investigate cerebral
mechanisms underlying locomotor recovery after stroke.
Methods We measured cortical activities during hemiparetic gait on the treadmill before and after 2 months of inpatient rehabilitation in 8 patients with initial stroke (5 men, 3 women; 4 with right and 4 with left hemiparesis; aged 57 years; 3 months after stroke on average), using an optical imaging system.
Results On the initial evaluation, hemiparetic gait was associated with increased oxygenated hemoglobin levels in the medial primary sensorimotor cortex (SMC) that were greater in the unaffected hemisphere than in the affected hemisphere as well as in the premotor cortex (PMC) and supplementary motor area. On the second examination, the asymmetry in SMC activation significantly improved, and there was enhanced PMC activation in the affected hemisphere. Improvement of the asymmetrical SMC activation significantly correlated with improvement of gait parameters.
Conclusions Locomotor recovery after stroke may be associated with improvement of asymmetry in SMC activation and enhanced PMC activation in the affected hemisphere.
Key Words: cerebral cortex gait optics rehabilitation spectroscopy, near-infrared stroke
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Introduction
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As a result of recent advances in functional neuroimaging such
as positron emission tomography and functional MRI, there is
growing evidence that functional recovery of paretic hand after
stroke depends on cortical reorganization, including the peri-infarct
area in the primary sensorimotor cortex (SMC), other motor-related
areas such as the premotor cortex (PMC) and supplementary motor
area (SMA) in the affected hemisphere, and some combination
of these areas in the unaffected hemisphere.
110 Little
is known about the mechanisms underlying locomotor recovery,
one of the essential determinants of rehabilitation outcome
in stroke, mainly because of technical limitations in assessing
cerebral activation during dynamic movements. An optical imaging
technique using near-infrared spectroscopy (NIRS)
1114 has enabled visualization of cortical activation during human
gait that centered in the medial SMC and SMA.
15 In patients
with stroke, hemiparetic gait was associated with asymmetrical
SMC activation and recruitment of PMC and pre-supplementary
motor area (pre-SMA).
16,17 In this longitudinal study we sought
to clarify how cortical activation changed in the course of
locomotor recovery after stroke.
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Subjects and Methods
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We evaluated cortical activation during hemiparetic gait on
the treadmill in 8 patients with initial stroke (
Table). All
were right handed. All were transferred to our hospital for
inpatient multidisciplinary rehabilitation based on neurodevelopmental
technique.
18,19 The patients did not reach an independent level
in ambulation and activities of daily living after medical treatment
and less intensive physical therapy for 2 to 3 months in acute
hospitals. Each patient underwent NIRS recording before and
after 2 months of inpatient rehabilitation. This study was approved
by the local ethical committee. Written informed consent was
obtained from each patient.
For NIRS recording, patients walked on the treadmill at a speed of 0.2 km/h. Each 30 seconds of task period for walking was alternated by 30 seconds of rest period for 4 times. Experienced therapists, standing by the patients on the paretic side, assisted them mechanically to ensure safe gait performance by holding them on the foot or thigh of the paretic leg if necessary. Four patients (cases 1, 5, 6, and 7) with severe hemiplegia needed 20% of partial body weight support using the overhead harness with a pelvic belt and thigh strips20,21 to perform the walking task. Task conditions were identical in the 2 measurements before and after inpatient rehabilitation in each individual.
Details of the optical imaging system (Shimadzu) were previously described.15,17 In brief, it consisted of 12 light source fibers and 12 detector fibers, resulting in a 36-channel recording of cortical changes in oxygenated hemoglobin (oxyHb), deoxygenated hemoglobin (deoxyHb), and total hemoglobin. The spatial resolution was a few centimeters beyond the interoptode distance set at 3.0 cm, and the temporal resolution was 380 ms. The optodes were placed tightly on the skull with the use of a holder cap fabricated from custom-made thermoplastic resin. Cz was the marker for ensuring replicable placement of the optodes. An anatomic MRI scan22 revealed that the optodes were located over an area of 13x13 cm in the bilateral frontoparietal regions (Figure 1). The medial SMC was covered by the medial parts of the posterior channels (channels 16 and 17 in the left hemisphere and channels 22 and 23 in the right), SMA by the medial parts of the middle channels (channels 14 and 15 in the left hemisphere and channels 20 and 21 in the right), and PMC by the lateral parts of the middle channels (channels 2, 3, 8, 9 in the left hemisphere and channels 26, 27, 32, 33 in the right). Pre-SMA was located in regions rostral to the SMA and above the anterior commissure line23 (channel 13 in the left hemisphere and channel 19 in the right). The prefrontal cortex was partially covered by channels 1 and 7 in the left hemisphere and channels 25 and 31 in the right.

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Figure 1. Location of optodes. The NIRS system consists of 12 light source (white) and 12 detector (gray) fibers, resulting in 36 channels of source-detector pairs. The light source fiber next to the posterior one in the center column was located in the Cz portion. See text for the corresponding channel for each cortical region. CS indicates central sulcus.
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We used oxyHb value as the marker for cortical activity because there was a task-related increase of oxyHb levels without apparent changes in deoxyHb levels in the medial SMC, and the cortical maps based on changes in oxyHb levels were similar to those from functional MRI during foot movements and gait imagery.15 Experimental data have also shown that oxyHb is the most sensitive marker of activity-dependent changes in regional cerebral blood flow.2426 We obtained images depicting average changes in oxyHb during the 4 task cycles after adapting the linear interpolation to the simultaneously acquired 36-channel data. Each topographic map was corrected to match the anatomic location of the optodes on the brain surface and was overlaid on an anatomic MRI surface image.22 For quantification of activation, we calculated
oxyHb, defined as
oxyHb During Task Period-
oxyHb During Rest Period, in each channel. Data from the latter 20 seconds of the 30-second task periods and the middle 20 seconds of the 30-second rest periods were used because there was approximately a 3- to 5-second delay in the response of hemoglobin oxygenation related to the tasks.15 To compare the amount of regional activation between the serial measurements on different occasions before and after inpatient rehabilitation, we defined regional activation as Average
oxyHb in Channels Covering Each Region/Total
oxyHb of All Channels. To evaluate interhemispheric asymmetry of regional activation, we calculated the laterality index6,10,17 (LI), defined as (
oxyHb in Affected Hemisphere-
oxyHb in Unaffected Hemisphere)/(
oxyHb in Affected Hemisphere+
oxyHb in Unaffected Hemisphere), in each region.
For objective measurement of gait performance, we videotaped each walking task and evaluated cadence (steps per minute) and swing-phase LI, which was similarly defined as (Time for Swing Phase of Sound Leg-Time for Swing Phase of Paretic Leg)/(Time for Swing Phase of Sound Leg+Time for Swing Phase of Paretic Leg). Motor impairment was assessed with the Fugl-Meyer Scale.27 We also monitored blood pressure, heart rate, and arterial oxygen saturation measured using pulse oximetry at the baseline and after performance of the task.
To compare regional activation and LI before and after inpatient rehabilitation, we performed a 2-way repeated-measures ANOVA with time (before and after rehabilitation) as a within-subject factor and site of region (SMC, SMA, PMC, and pre-SMA) as a between-subject factor. Gait and physiological parameters were compared with 1-way repeated-measures ANOVA. The Fisher least significant difference test was used as a post hoc test. Correlation between changes of regional activation and gait parameters was analyzed with linear regression. Statistical significance was set at P<0.05.
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Results
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Cortical Mapping of Gait in Patients With Stroke
Cortical activation maps during hemiparetic gait in individual
cases are shown in
Figure 2. In the first evaluation, activities
were observed in the medial SMC that were fewer in the affected
hemisphere than in the unaffected hemisphere, SMA, and PMC.
Activation in the pre-SMA and prefrontal cortex varied but tended
to be seen in patients with large cortical lesions and severe
hemiplegia (
Figure 2C and 2D), but there was no activation in
the damaged cortical areas, as expected in these patients. In
the second study, the asymmetry in SMC improved, and there was
enhanced PMC activation, particularly in the affected hemisphere.
Prominent pre-SMA or prefrontal activation was observed in patients
with large areas of cortical damage (
Figure 2C and 2D).

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Figure 2. Cortical mapping of hemiparetic gait in patients with stroke. Cortical activation maps are based on changes in oxyHb levels during gait before (pre) and after (post) inpatient rehabilitation. Images in bottom row show site of lesions on T2-weighted MRI. L indicates left. A, Cortical mapping of gait in case 2, with infarction in the left corona radiata (arrow). On day 53 after stroke, the patient needed moderate assistance to take a step. SMC activation was much less in affected hemisphere than in unaffected hemisphere. After inpatient rehabilitation (118 days after stroke), the patient needed minimal assistance to perform the task. SMC activation was symmetrical, and new activation was seen in SMA and PMC, especially in affected hemisphere. B, Cortical mapping of gait in case 3, with infarction in left corona radiata (arrow). On day 107 after stroke, the patient needed mild assistance with gait. There was less SMC activation in affected hemisphere than in unaffected hemisphere, but PMC and SMA were bilaterally activated. On the second imaging (176 days after stroke), the patient needed little assistance with gait. SMC were symmetrically activated, and there was persistent activation in PMC and SMA. C, Cortical mapping of gait in case 6, with diffuse infarction in right frontoparietal lobe. On day 102 after stroke, the patient needed maximal assistance with gait; this was the patients first opportunity to walk after the ictus. Mild activation was observed in PMC and prefrontal regions in affected hemisphere, parietal regions in unaffected hemisphere, and bilateral pre-SMA. There was little activation in the medial SMC. On the second evaluation (173 days after stroke), the patient needed mild assistance. NIRS imaging revealed enhanced activation in bilateral PMC, pre-SMA, and prefrontal areas and mild SMC activation in unaffected hemisphere. D, Cortical mapping of gait in case 8, with a large hemorrhagic lesion centered in right parietal lobe (arrow). On day 32 after stroke, the patient needed moderate assistance with gait. NIRS imaging showed prominent activation in unaffected hemisphere. After inpatient rehabilitation (98 days after stroke), the patient needed minimal assistance with gait, and enhanced activation was observed in the bilateral SMC, PMC, SMA, and prefrontal cortices.
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Regional Activation During Hemiparetic Gait
To confirm the findings from individual cortical maps, we performed group analyses. For regional activation, ANOVA revealed that there was no significant main effect of time or site. There was a significant interaction between time and site (F7,56=2.329, P=0.0370). These findings indicated that time had distinct effects on regional activation. The effect of time on regional activation was significant only in the PMC in the affected hemisphere (F1,7=5.686, P=0.0486), suggesting that enhanced activation in this area may be associated with locomotor recovery (Figure 3). For LI, there was no main effect of time or site. There was a significant interaction between time and site (F3,28=3.156, P=0.0403), indicating that time had distinct effects on regional LI. The effect of time on regional LI was significant only in the SMC (F1,7=10.016, P=0.0158), suggesting that asymmetrical SMC activation significantly improved after inpatient rehabilitation (Figure 4).

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Figure 3. Changes of regional activation during hemiparetic gait. Solid line (Pre) represents quantified regional activation in SMC, PMC, SMA, and pre-SMA (pSMA) during hemiparetic gait before inpatient rehabilitation. Dotted line (Post) represents regional activation after inpatient rehabilitation. There was a significant difference (*P<0.05) in PMC activation in the affected hemisphere (AH). Data are mean±SE. UH indicates unaffected hemisphere.
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Figure 4. Changes of interhemispheric asymmetry of regional activation during hemiparetic gait as measured by LI. Positive LI indicates more activation in affected hemisphere than in unaffected hemisphere, and negative LI indicates the reverse. Asymmetry in SMC significantly improved after inpatient rehabilitation (*P<0.05). Lower, middle, and upper horizontal lines of boxes represent 25th, 50th, and 75th percentiles, respectively. Vertical lines extend from 10th to 90th percentiles.
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Gait Performance
After inpatient rehabilitation, motor impairment as measured by the Fugl-Meyer scale and gait performance significantly improved (P<0.05; Table). Cadence was significantly greater (P<0.005) on the second evaluation (55.3±18.6 steps per minute; mean±SD) than on the first evaluation (49.5±17.6). Swing-phase LI was significantly greater (P<0.05) after rehabilitation (-0.113±0.095) than before rehabilitation (-0.199±0.108). Importantly, changes of swing-phase LI significantly correlated with changes of LI in SMC (r=0.723, P<0.0427) but not with changes of LI in PMC, SMA, or pre-SMA (Figure 5). Physiological parameters were comparable between the first and second NIRS measurements. There were no significant differences in baseline blood pressure (measurement 1 versus 2: 120±8/85±12 versus 123±9/86±10 mm Hg), heart rate (84±12 versus 80±10 beats per minute), and arterial oxygen saturation (96±1% versus 96±1%). After the tasks were performed, blood pressure (measurement 1 versus 2: 127±10/92±8 versus 128±8/91±8 mm Hg) and heart rate (93±8 versus 89±7 beats per minute) significantly increased from baseline levels (P<0.01), but the changes were comparable. There were no significant changes in arterial oxygen saturation after the task was performed in either the first or second evaluation (97±1% versus 97±1%).

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Figure 5. Changes of LI in SMC (post LI-pre LI) versus changes in gait performance as assessed by swing-phase LI (post swing LI-pre swing LI). There was a significant correlation between these 2 parameters (r=0.723, P<0.0427).
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Discussion
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There are 2 major differences in cortical activation patterns
during gait between healthy subjects
15 and patients with stroke.
The first is the asymmetry of activation. Importantly, improvement
of LI in SMC activation significantly correlated with improvement
of gait performance as assessed by swing-phase LI. This suggests
that balanced SMC activation may play an important role in locomotor
recovery after stroke. Our findings are compatible with serial
functional MRI findings that shift of SMC activation from the
unaffected hemisphere to the affected hemisphere paralleled
functional recovery of the hand.
6,10 Thus, improved SMC activation
in the affected hemisphere may be one of the common mechanisms
underlying recovery of paralyzed limbs.
The other difference is recruitment of motor-related areas. Of note, PMC activation in the affected hemisphere significantly increased after locomotor recovery. PMC and SMA are involved in the purposeful modification and initiation of locomotion through connections with the brain stem, basal ganglia, cerebellum, and spinal cord,2830 and enhanced activation in these areas may possibly be related to improved control of gait performance. Second, enhanced PMC activation may reflect the need for stabilizing proximal limbs and trunk during gait since it participates in control of the contralateral proximal and bilateral axial musculature.31,32 Finally, altered activation patterns may result from reorganization of cortical motor networks. Similarly, hand recovery after stroke has been associated with bilateral activation in SMC, PMC,33 SMA, and cerebellum.110 The emerging importance of the ipsilesional PMC in motor recovery finds additional support in the experimental literature34 and the clinical finding that PMC damage decreased locomotor recovery.35
Notable activities were seen in pre-SMA and prefrontal cortex. Pre-SMA activation is associated with performance of complex sequential motor tasks, selection of response in a simple choice reaction time task, and the initial stages of skill acquisition.36,37 Prefrontal lesions diminished attention to novel events.38 Thus, these activations are possibly associated with learning of gait, especially in severely affected patients, since patients showed enhanced prefrontal activation in the second evaluation; further studies are needed, however.
It is possible that some of our findings may depend on changes in basic cerebral blood flow rather than changes in brain function since cerebral blood flow and diaschisis evolve over time after stroke. Further studies are also needed to investigate how gait speed, cadence, and body weight support affect cortical activation patterns. NIRS imaging is a highly noninvasive technique, and patients with stroke tolerated the repeated measurements well. If we can elucidate cerebral activation patterns associated with improved real-world outcome, we might develop a brain-based as well as evidence-based rehabilitation technique that would induce the preferred cerebral activation.
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Acknowledgments
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This work was supported by Funds for Comprehensive Research
on Aging and Health and by Medical Frontier Strategy Research
from the Ministry of Health, Labor, and Welfare in Japan. We
thank and acknowledge Mie Arita for excellent technical assistance
and Katsumasa Kii, PT, Tomoyuki Ohashi, PT, and Masamichi Furusawa,
PT, for their excellent technique in rehabilitating patients
with stroke.
Received April 1, 2003;
revision received July 26, 2003;
accepted August 13, 2003.
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