| Literature DB >> 36237615 |
Min Su Kim1, Byung Soon Moon2, Jae-Yoon Ahn3, Sang-Song Shim3, Jong-Min Yun3, Min Cheol Joo4.
Abstract
Acupuncture has been commonly used for post-stroke patients, and electroacupuncture allows simultaneous application of acupuncture and electrical stimulation. We aimed to elucidate the mechanism of electroacupuncture on post-stroke motor recovery using diffusion tensor tractography. A total of 33 subacute stroke patients were recruited. The control group was subjected to conventional rehabilitation therapy. In contrast, the patients in the experimental group received electroacupuncture treatment for 30 min per session for 4 weeks in addition to the rehabilitation therapy. Fugl-Meyer assessment of the lower extremity (FMA_L), functional ambulation categories (FAC), and the Korean version of modified Barthel index (K-MBI) were used to compare behavioral outcomes between groups. The corticospinal tract (CST) was examined before and after the intervention via diffusion tensor tractography (DTT) to determine the motor recovery mechanism mediated by electroacupuncture. After 4 weeks of intervention, both the control and experimental groups showed a significant improvement with respect to FMA_L, FAC, and K-MBI. The level of improvement in FMA_L, FAC, and K-MBI did not vary significantly between the two groups. However, DTT results showed that the CST fractional anisotropy of the affected side (control: from 0.456 to 0.464, experimental: from 0.459 to 0.512) and its ratio (control: from 89.8 to 90.3, experimental: from 90.2 to 93.3) were significantly different between the two groups (p = 0.032 and p = 0.018). In addition, there were significant differences in the CST axial diffusivity of affected side (control: from 0.783 to 0.877, experimental: from 0.840 to 0.897) and its ratio variation (control: from 87.9 to 100.0, experimental: from 95.7 to 100.7) between the groups (p = 0.003 and p = 0.001). Electroacupuncture played a role in promoting brain plasticity and delaying neural degeneration in subacute period after stroke. Thus, electroacupuncture could be an effective adjuvant therapy in addition to conventional rehabilitation for motor recovery after stroke in a long-term perspective.Entities:
Keywords: activities of daily living; acupuncture; cerebrovascular disorders; diffusion tensor imaging; gait; rehabilitation
Year: 2022 PMID: 36237615 PMCID: PMC9551655 DOI: 10.3389/fneur.2022.888165
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.086
Figure 1Corticospinal tract (CST) visualized by diffusion tensor tractography. (A) Lower anterior pons (yellow circles) and primary motor cortex were designated as regions of interest. (B) 3D reconstructed CST by fiber assignment by continuous tracking algorithm. Quantitative indicators such as the number of fiber tracts, fractional anisotropy (FA), and axial diffusivity (AD) can be identified.
Baseline characteristics.
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| Age (yrs) | 64.1 ± 9.1 | 62.0 ± 10.4 | 0.823 |
| Gender (M: F) | 10:7 | 11:5 | 0.469 |
| Duration after onset (days) | 36.4 ± 5.4 | 38.1 ± 6.2 | 0.672 |
| Lesion side (Lt: Rt) | 9:8 | 8:8 | 0.942 |
| Location (supratentorial: | 13:4 | 11:5 | 0.812 |
| Comorbidity | 0.782 | ||
| Hypertension (%) | 88 | 87 | |
| Diabetes mellitus (%) | 29 | 31 | |
| Hyperlipidemia (%) | 88 | 93 | |
| MOCA | 20.4 ± 5.4 | 19.2 ± 5.9 | 0.880 |
MOCA, Montreal Cognitive Assessment.
Comparison of behavioral outcome indicators in control and experimental groups after 4-weeks intervention.
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| FMA_L | 16.2 ± 7.3 | 22.0 ± 6.5 | 16.7 ± 8.4 | 22.5 ± 8.6 | 0.630 |
| K-MBI | 41.7 ± 17.1 | 66.7 ± 11.4 | 51.5 ± 15.1 | 71.2 ± 10.4 | 0.304 |
| FAC | |||||
| <3 | 15 | 5 | 14 | 6 | 0.842 |
| ≥3 | 2 | 12 | 2 | 11 | |
FMA_L, Fugl-Meyer Assessment of lower limb; FAC, Functional Ambulation Categories; K-MBI, Korean version of the modified Barthel Index (K-MBI).
p < 0.05.
Paired t-test for within group change.
Independent t-test for between group comparison.
Chi-square test for categorical data analysis.
Comparison of diffusion tensor tractography parameters in both groups after 4-weeks intervention.
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| Fiber No., affected | 586 ± 153 | 499 ± 139 | 0.012 | 506 ± 157 | 431 ± 119 | 0.020 | 0.442 |
| Fiber ratio | 58.1 ± 17.7 | 39.1 ± 10.6 | 0.008 | 60.4 ± 27.8 | 39.2 ± 12.6 | 0.008 | 0.256 |
| FA, affected | 0.456 ± 0.073 | 0.464 ± 0.081 | 0.082 | 0.459 ± 0.077 | 0.512 ± 0.088 | 0.004 | 0.032 |
| FA ratio | 89.8 ± 14.5 | 90.3 ± 14.9 | 0.241 | 90.2 ± 14.1 | 93.3 ± 17.1 | 0.012 | 0.018 |
| AD, affected | 0.783 ± 0.105 | 0.877 ± 0.089 | < 0.001 | 0.840 ± 0.089 | 0.897 ± 0.112 | 0.032 | 0.003 |
| AD ratio | 87.9 ± 11.7 | 100.0 ± 8.9 | < 0.001 | 95.7 ± 9.1 | 100.7 ± 9.8 | 0.036 | 0.001 |
FA, fractional anisotropy; AD, Axial diffusivity.
p < 0.05.
Paired t-test for within group change.
Independent t-test for between group comparison.
The ratio was defined as dividing the affected side by the unaffected side then multiplying it by 100.