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"Soo Jeong Kim"

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"Soo Jeong Kim"

Original Articles
Objective

To investigate the effects of adjuvant mental practice (MP) on affected upper limb function following a stroke using three-dimensional (3D) motion analysis.

Methods

In this AB/BA crossover study, we studied 10 hemiplegic patients who had a stroke within the past 6 months. The patients were randomly allocated to two groups: one group received MP combined with conventional rehabilitation therapy for the first 3 weeks followed by conventional rehabilitation therapy alone for the final 3 weeks; the other group received the same therapy but in reverse order. The MP tasks included drinking from a cup and opening a door. MP was individually administered for 20 minutes, 3 days a week for 3 weeks. To assess the tasks, we used 3D motion analysis and three additional tests: the Fugl-Meyer Assessment of the upper extremity (FMA-UE) and the motor activity logs for amount of use (MAL-AOU) and quality of movement (MAL-QOM). Assessments were performed immediately before treatment (T0), 3 weeks into treatment (T1), and 6 weeks into treatment (T2).

Results

Based on the results of the 3D motion analysis and the FMA-UE index (p=0.106), the MAL-AOU scale (p=0.092), and MAL-QOM scale (p=0.273), adjuvant MP did not result in significant improvements.

Conclusion

Adjuvant MP had no significant effect on upper limb function following a stroke, according to 3D motion analysis and three clinical assessment tools (the FMA-UE index and the two MAL scales). The importance of this study is its use of objective 3D motion analysis to evaluate the effects of MP. Further studies will be needed to validate these findings.

Citations

Citations to this article as recorded by  
  • Motor Imagery for Post-Stroke Upper Limb Recovery: A Meta-Analysis of RCTs on Fugl-Meyer Upper Extremity Scores
    Luis Polo-Ferrero, Javier Torres-Alonso, Juan Luis Sánchez-González, Sara Hernández-Rubia, Rubén Pérez-Elvira, Javier Oltra-Cucarella
    Journal of Clinical Medicine.2025; 14(21): 7891.     CrossRef
  • Effectiveness of synchronous action observation and mental practice on upper extremity motor recovery after stroke
    Krystal Robinson-Bert, Anne B. Woods
    Occupational Therapy In Health Care.2024; 38(2): 196.     CrossRef
  • Exploring Methodological Issues in Mental Practice for Upper-Extremity Function Following Stroke-Related Paralysis: A Scoping Review
    Akira Nakashima, Ryohei Okamura, Takefumi Moriuchi, Kengo Fujiwara, Toshio Higashi, Kounosuke Tomori
    Brain Sciences.2024; 14(3): 202.     CrossRef
  • Effects of mobile phone App-based continuing nursing care on self-efficacy, quality of life, and motor function of stroke patients in the community
    Juling Xu, Xiuqun Qian, Mengwen Yuan, Caidi Wang
    Acta Neurologica Belgica.2023; 123(1): 107.     CrossRef
  • Motor Imagery and Mental Practice in the Subacute and Chronic Phases in Upper Limb Rehabilitation after Stroke: A Systematic Review
    Enrique Villa-Berges, Ana Alejandra Laborda Soriano, Orosia Lucha-López, José Miguel Tricas-Moreno, Mar Hernández-Secorún, Miguel Gómez-Martínez, César Hidalgo-García, Stefania Costi
    Occupational Therapy International.2023; 2023: 1.     CrossRef
  • Responsiveness of the Reaching Performance Scale for Stroke
    Sandeep K. Subramanian, Gita Margolese, Andrea Turolla, Gustavo Saposnik, Mindy F. Levin
    Archives of Physical Medicine and Rehabilitation.2023; 104(10): 1588.     CrossRef
  • The Impact of Mental Practice on Motor Function in Patients With Stroke: A Systematic Review and Meta-analysis
    Hyun Seok, Yoon-Hee Choi
    Brain & Neurorehabilitation.2023;[Epub]     CrossRef
  • An Exoneuromusculoskeleton for Self-Help Upper Limb Rehabilitation After Stroke
    Chingyi Nam, Wei Rong, Waiming Li, Chingyee Cheung, Wingkit Ngai, Tszching Cheung, Mankit Pang, Li Li, Junyan Hu, Honwah Wai, Xiaoling Hu
    Soft Robotics.2022; 9(1): 14.     CrossRef
  • Mental Practice and Manipulative Skills Training Among People With Multiple Sclerosis: A Pilot Study
    Patricia Sánchez-Herrera-Baeza, Cristina García-Bravo, Elisabet Huertas-Hoyas, Lidiane-Lima Florencio, Rosa M Martínez-Piédrola, Jorge Pérez-Corrales, Carlos Sánchez-Camarero, Marta Pérez-de-Heredia-Torres
    American Journal of Occupational Therapy.2022; 76(2): 196.     CrossRef
  • Can mental practice adjunct in the recovery of motor function in the upper limbs after stroke? A systematic review and meta-analysis
    Danielle Aprigio, Juliana Bittencourt, Maria Ramim, Victor Marinho, Igor Brauns, Isabelle Fernandes, Pedro Ribeiro, Bruna Velasques, Ana Catarina Alves E Silva
    Brain Circulation.2022; 8(3): 146.     CrossRef
  • Home-based self-help telerehabilitation of the upper limb assisted by an electromyography-driven wrist/hand exoneuromusculoskeleton after stroke
    Chingyi Nam, Bingbing Zhang, Tszying Chow, Fuqiang Ye, Yanhuan Huang, Ziqi Guo, Waiming Li, Wei Rong, Xiaoling Hu, Waisang Poon
    Journal of NeuroEngineering and Rehabilitation.2021;[Epub]     CrossRef
  • Application of intelligent rehabilitation equipment in occupational therapy for enhancing upper limb function of patients in the whole phase of stroke
    Wenxi Li, Dongsheng Xu
    Medicine in Novel Technology and Devices.2021; 12: 100097.     CrossRef
  • Mental practice for treating upper extremity deficits in individuals with hemiparesis after stroke
    Ruth E Barclay, Ted J Stevenson, William Poluha, Brenda Semenko, Julie Schubert
    Cochrane Database of Systematic Reviews.2020;[Epub]     CrossRef
  • Mental practice for upper limb motor restoration after stroke: an updated meta-analysis of randomized controlled trials
    Kewei Song, Lin Wang, Wenhua Wu
    Topics in Stroke Rehabilitation.2019; 26(2): 87.     CrossRef
  • Efficacy of motor imagery additional to motor-based therapy in the recovery of motor function of the upper limb in post-stroke individuals: a systematic review
    Tácia Cotinguiba Machado, Adriani Andrade Carregosa, Matheus S. Santos, Nildo Manoel da Silva Ribeiro, Ailton Melo
    Topics in Stroke Rehabilitation.2019; 26(7): 548.     CrossRef
  • Mental practice for upper limb rehabilitation after stroke: a systematic review and meta-analysis
    Si-Woon Park, Jae-Hyung Kim, Yun-Jung Yang
    International Journal of Rehabilitation Research.2018; 41(3): 197.     CrossRef
  • 8,963 View
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  • 16 Web of Science
  • 16 Crossref
Clinical Characteristics of Proper Robot-Assisted Gait Training Group in Non-ambulatory Subacute Stroke Patients
Soo Jeong Kim, Hye Jin Lee, Seung Won Hwang, Hannah Pyo, Sung Phil Yang, Mun-Hee Lim, Gyu Lee Park, Eun Joo Kim
Ann Rehabil Med 2016;40(2):183-189.   Published online April 25, 2016
DOI: https://doi.org/10.5535/arm.2016.40.2.183
Objective

To identify the clinical characteristics of proper robot-assisted gait training group using exoskeletal locomotor devices in non-ambulatory subacute stroke patients.

Methods

A total of 38 stroke patients were enrolled in a 4-week robotic training protocol (2 sessions/day, 5 times/week). All subjects were evaluated for their general characteristics, Functional Ambulatory Classification (FAC), Fugl-Meyer Scale (FMS), Berg Balance Scale (BBS), Modified Rankin Scale (MRS), Modified Barthel Index (MBI), and Mini-Mental Status Examination (MMSE) at 0, 2, and 4 weeks. Statistical analysis were performed to determine significant clinical characteristics for improvement of gait function after robot-assisted gait training.

Results

Paired t-test showed that all functional parameters except MMSE were improved significantly (p<0.05). The duration of disease and baseline BBS score were significantly (p<0.05) correlated with FAC score in multiple regression models. Receiver operating characteristic (ROC) curve showed that a baseline BBS score of '9' was a cutoff value (AUC, 0.966; sensitivity, 91%–100%; specificity, 85%). By repeated-measures ANOVA, the differences in improved walking ability according to time were significant between group of patients who had baseline BBS score of '9' and those who did not have baseline BBS score of '9'

Conclusion

Our results showed that a baseline BBS score above '9' and a short duration of disease were highly correlated with improved walking ability after robot-assisted gait training. Therefore, baseline BBS and duration of disease should be considered clinically for gaining walking ability in robot-assisted training group.

Citations

Citations to this article as recorded by  
  • Patient-Centered Selection Criteria for Robot-Assisted Gait Training in Subacute Stroke: A Focus of User Satisfaction
    Jong Weon Lee, Won Hyuk Chang, Tae-Woo Kim, Hyoung Seop Kim, Fazah Akhtar Hanapiah, Seung-Hyeon Han, Chai Wen Jia, Dae Hyun Kim, Deog Young Kim
    NeuroRehabilitation.2026; 58(4): 600.     CrossRef
  • A Pilot Study on the Short‐Term Effects of an Electric Knee–Ankle–Foot Orthosis on Gait Performance and Physiological Cost Index in Patients With Hemiplegia: Influence of Initial Balance Ability Assessed by the Berg Balance Scale
    Hyuk-Jae Choi, Yoon Heo, Jong-Won Lee, Hyeonseok Cho, Ju-Hwan Bae, In Ho Hwang, Mi Jung Kim, Chang-Yong Ko, Emilia Biffi
    BioMed Research International.2026;[Epub]     CrossRef
  • Effects of using lower limb exoskeleton on function and psychosocial well-being of stroke survivors: A review
    Deepashini Harithasan, Aiman Mat Najib
    Polish Annals of Medicine.2026; 33: 103.     CrossRef
  • Maximizing stroke recovery with advanced technologies: A comprehensive assessment of robot-assisted, EMG-Controlled robotics, virtual reality, and mirror therapy interventions
    Faisal Amin, Asim Waris, Javaid Iqbal, Syed Omer Gilani, M. Zia Ur Rehman, Shafaq Mushtaq, Niaz Bahadur Khan, M. Ijaz Khan, Mohammed Jameel, Nissren Tamam
    Results in Engineering.2024; 21: 101725.     CrossRef
  • Factors affecting the efficiency of walking independence in patients with subacute stroke following robot-assisted gait training with conventional rehabilitation
    Yoshiaki Maki, Takuma Ii, Masanari Yamada, Shigeo Tanabe
    International Journal of Rehabilitation Research.2024; 47(1): 26.     CrossRef
  • Identifying the characteristics of patients with stroke who have difficulty benefiting from gait training with the hybrid assistive limb: a retrospective cohort study
    Shingo Taki, Takeshi Imura, Tsubasa Mitsutake, Yuji Iwamoto, Ryo Tanaka, Naoki Imada, Hayato Araki, Osamu Araki
    Frontiers in Neurorobotics.2024;[Epub]     CrossRef
  • Effects of robot-assisted walking training on balance, motor function, and ADL depending on severity levels in stroke patients
    Soo Yong Lee, Yu Sik Choi, Min Hyuk Kim, Woo Nam Chang
    Technology and Health Care.2024; 32(5): 3293.     CrossRef
  • Gait Performance and Brain Activity Are Improved by Gait Automatization during Robot-Assisted Gait Training in Patients with Burns: A Prospective, Randomized, Single-Blinded Study
    Seung Yeol Lee, Jisu Seo, Cheong Hoon Seo, Yoon Soo Cho, So Young Joo
    Journal of Clinical Medicine.2024; 13(16): 4838.     CrossRef
  • Therapeutic Effect of High-Definition Transcranial Direct Current Stimulation Combined with Suspension Exercise Training on Lower Limb Motor Function of Stroke Patients
    Haiquan ZHANG, Chuan HU, Lei HUANG, Wei LU, Xin WANG
    Rehabilitation Medicine.2024; 34(2): 110.     CrossRef
  • Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness
    Jesús de Miguel-Fernández, Joan Lobo-Prat, Erik Prinsen, Josep M. Font-Llagunes, Laura Marchal-Crespo
    Journal of NeuroEngineering and Rehabilitation.2023;[Epub]     CrossRef
  • Optimal Intervention Timing for Robotic-Assisted Gait Training in Hemiplegic Stroke
    Lingchao Xie, Bu Hyun Yoon, Chanhee Park, Joshua (Sung) H. You
    Brain Sciences.2022; 12(8): 1058.     CrossRef
  • Effect of Robot Assisted Gait Training on Motor and Walking Function in Patients with Subacute Stroke: A Random Controlled Study
    Dong-Xia Li, Fu-Bing Zha, Jian-Jun Long, Fang Liu, Jia Cao, Yu-Long Wang
    Journal of Stroke and Cerebrovascular Diseases.2021; 30(7): 105807.     CrossRef
  • Exoskeleton for post-stroke recovery of ambulation (ExStRA): study protocol for a mixed-methods study investigating the efficacy and acceptance of an exoskeleton-based physical therapy program during stroke inpatient rehabilitation
    Dennis R. Louie, William B. Mortenson, Melanie Durocher, Robert Teasell, Jennifer Yao, Janice J. Eng
    BMC Neurology.2020;[Epub]     CrossRef
  • Effectiveness of robot-assisted gait training on patients with burns: a preliminary study
    So Young Joo, Seung Yeol Lee, Yoon Soo Cho, Kuem Ju Lee, Sang-Hyun Kim, Cheong Hoon Seo
    Computer Methods in Biomechanics and Biomedical Engineering.2020; 23(12): 888.     CrossRef
  • Assessing Stiffness, Joint Torque and ROM for Paretic and Non-Paretic Lower Limbs during the Subacute Phase of Stroke Using Lokomat Tools
    Betsy D. M. Chaparro-Rico, Daniele Cafolla, Paolo Tortola, Giuseppe Galardi
    Applied Sciences.2020; 10(18): 6168.     CrossRef
  • Robot-assisted gait training for balance and lower extremity function in patients with infratentorial stroke: a single-blinded randomized controlled trial
    Ha Yeon Kim, Joon-Ho Shin, Sung Phil Yang, Min A. Shin, Stephanie Hyeyoung Lee
    Journal of NeuroEngineering and Rehabilitation.2019;[Epub]     CrossRef
  • Effect of ankle-foot orthosis on functional mobility and dynamic balance of patients after stroke
    Gabriela Vieira de Paula, Taís Regina da Silva, Juli Thomaz de Souza, Gustavo José Luvizutto, Silméia Garcia Zanati Bazan, Gabriel Pinheiro Modolo, Fernanda Cristina Winckler, Letícia Cláudia de Oliveira Antunes, Luís Cuadrado Martin, Rafael Dalle Molle d
    Medicine.2019; 98(39): e17317.     CrossRef
  • Effects of Whole-Body Vibration on the Improvement of Balance, Gait and Activities of Daily Living in Patients with Subacute Stroke
    Sung Il Hwang
    Soonchunhyang Medical Science.2018; 24(2): 131.     CrossRef
  • Computational gait analysis using fuzzy logic for everyday clinical purposes – preliminary findings
    Emilia Mikołajewska, Piotr Prokopowicz, Dariusz Mikolajewski
    Bio-Algorithms and Med-Systems.2017; 13(1): 37.     CrossRef
  • 10,157 View
  • 70 Download
  • 18 Web of Science
  • 19 Crossref
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