脑-机接口控制下机器人辅助康复训练治疗亚急性期脑卒中患者效果的随机对照临床研究

Clinical outcomes of robotic-assisted neurorehabilitation under brain-computer interface guidance in subacute stroke patients: A randomized controlled trial

  • 摘要:
    背景 脑-机接口(brain-computer interface,BCI)技术作为提升脑卒中患者肢体功能的一种创新手段,近年来受到广泛关注。然而,关于BCI技术在机器人辅助脑卒中康复训练中的应用及其对患者康复效果的影响,现有相关研究较少。
    目的 探讨BCI技术控制下机器人辅助亚急性期脑卒中患者进行康复训练的临床效果,并评估该干预措施对患者血清学指标的影响。
    方法 采用单中心、随机、对照临床试验设计。选取2017年3月 — 2022年8月在空军军医大学西京医院的亚急性期脑卒中患者。通过信封法将患者随机分为对照组和BCI组,对照组接受常规康复训练,BCI组则在BCI技术辅助下进行机器人康复训练,干预周期均为4周。干预前(T0)、干预后1周(T1)、2周(T2)和4周(T3)对两组患者的运动功能和生化指标进行评估和比较。
    结果 共57人参与研究,每组各27人,最终对照组25人(男20例,女5例,平均年龄49.33 ± 10.51岁),干预组24人(男16例,女8例,平均年龄46.98 ± 8.56岁)完成研究,两组差异无统计学意义(P>0.05)。基线时,两组的Loewenstein作业治疗认知评估(Loewenstein Occupational Therapy Cognitive Assessment,LOTCA)评分、Fugl-Meyer下肢评估(Fugl-Meyer assessment for lower extremity,FMA-LE)评分和Fugl-Meyer平衡评估(Fugl-Meyer assessment for balance,FMA-B)评分的组间差异无统计学意义(P>0.05)。干预结束时,各组评分均较基线时提高,差异有统计学意义(P均<0.05);组间比较显示BCI组的LOTCA评分显著高于对照组(81.56 ± 13.26 vs 73.56 ± 12.81,P=0.037),但FMA-LE(18.98 ± 5.16 vs 16.33 ± 7.05)和FMA-B评分(9.55 ± 2.98 vs 8.35 ± 3.56)组间比较差异均无统计学意义 (P>0.05)。神经营养因子(neurotrophic factors,BDNF)基线和结束时组间比较差异无统计学意义(P均>0.05),干预结束时两组的BDNF水平显著高于基线,且BCI组的变化值显著高于对照组(16.90 ± 6.35) pg/mL vs (6.00 ± 2.51) pg/mL,P<0.001。
    结论 对于亚急性期脑卒中患者,结合BCI控制下机器人辅助的康复训练能够有效促进认知功能的恢复,增强下肢运动功能,并有助于提高BDNF分泌水平。

     

    Abstract:
    Background Brain computer interface (BCI) technology, as an innovative means to improve the limb function of stroke patients, has received extensive attention in recent years. However, there are few reports on the application of BCI technology in robot assisted stroke rehabilitation training and its impact on the rehabilitation effect of patients.
    Objective To evaluate the clinical efficacy of robotic-assisted rehabilitation training for subacute stroke patients under the aegis of BCI technology and elucidate its influence on pertinent serum biomarkers.
    Methods This study was a single-center, randomized, controlled clinical trial . Subacute stroke patients admitted to the First Affiliated Hospital of Air Force Medical University from March 2017 to August 2022 were selected. All the patients were randomly assigned into two groups using an envelope method: the control group received conventional rehabilitation training, while the BCI group underwent robot-assisted rehabilitation training with BCI technology assistance. The intervention period was 4 weeks. Motor function assessments and biochemical indicators were evaluated and compared between the two groups at baseline (T0), 1 week post-intervention (T1), 2 weeks post-intervention (T2), and 4 weeks post-intervention (T3).
    Results A total of 57 patients participated in the study, with 27 cases in each group. Ultimately, the control group included 25 cases (20 males and 5 females, with an average age of 49.33 ± 10.51 years), and the BCI group included 24 cases (16 males and 8 females, with an average age of 46.98 ± 8.56 years). There were no statistically significant differences between the two groups (P>0.05). At baseline, there were no statistically significant differences in the Loewenstein Occupational Therapy Cognitive Assessment (LOTCA) scores, Fugl-Meyer assessment for lower extremity (FMA-LE) scores, and Fugl-Meyer assessment for balance (FMA-B) scores between the two groups (P>0.05). However, at the end of the intervention, scores in both groups improved compared to baseline, with statistically significant differences (P<0.05). Between-group comparisons showed that the LOTCA score in the BCI group was significantly higher than that in the control group (81.56 ± 13.26 vs 73.56 ± 12.81, P=0.037), but the differences in FMA-LE (18.98 ± 5.16 vs 16.33 ± 7.05) and FMA-B scores (9.55 ± 2.98 vs 8.35 ± 3.56) were not statistically significant (P>0.05). There were no statistically significant differences in neurotrophic factors (BDNF) between the groups at baseline and at the end of the intervention (P>0.05). However, at the end of the intervention, both groups had significantly higher BDNF levels compared to baseline, and the change in the BCI group was significantly greater than that in the control group (16.90 ± 6.35 pg/mL vs 6.00 ± 2.51 pg/mL, P<0.001).
    Conclusion The integration of BCI-controlled robotic training with conventional rehabilitation protocols holds promise for the amelioration of cognitive functions, enhancement of lower limb motor capabilities, and elevation of BDNF levels in subacute stroke patients.

     

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