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"Jae Yong Jo"

Original Articles
Prediction of Motor Recovery Using Quantitative Parameters of Motor Evoked Potential in Patients With Stroke
Jae Yong Jo, Ahee Lee, Min Su Kim, Eunhee Park, Won Hyuk Chang, Yong-Il Shin, Yun-Hee Kim
Ann Rehabil Med 2016;40(5):806-815.   Published online October 31, 2016
DOI: https://doi.org/10.5535/arm.2016.40.5.806
Objective

To investigate the clinical significance of quantitative parameters in transcranial magnetic stimulation (TMS)-induced motor evoked potentials (MEP) which can be adopted to predict functional recovery of the upper limb in stroke patients in the early subacute phase.

Methods

One hundred thirteen patients (61 men, 52 women; mean age 57.8±12.2 years) who suffered faiarst-ever stroke were included in this study. All participants underwent TMS-induced MEP session to assess the corticospinal excitability of both hand motor cortices within 3 weeks after stroke onset. After the resting motor threshold (rMT) was assessed, five sweeps of MEP were performed, and the mean amplitude of the MEP was measured. Latency of MEP, volume of the MEP output curve, recruitment ratios, and intracortical inhibition and facilitation were also measured. Motor function was assessed using the Fugl-Meyer Assessment scale (FMA) within 3 weeks and at 3 months after stroke onset. Correlation analysis was performed between TMS-induced MEP derived measures and FMA scores.

Results

In the MEP response group, rMT and rMT ratio measures within 3 weeks after stroke onset showed a significant negative correlation with the total and upper limb FMA scores at 3 months after stroke (p<0.001). Multiple regression analysis revealed that FMA score and rMT ratio, but not rMT within 3 weeks were independent prognostic factors for FMA scores at 3 months after stroke.

Conclusion

These results indicated that the quantitative parameter of TMS-induced MEP, especially rMT ratio in the early subacute phase, could be used as a parameter to predict motor function in patients with stroke.

Citations

Citations to this article as recorded by  
  • Neurorehabilitation Clinical Pathways in Stroke: The Padova Model
    Alessandra Del Felice, Antonio Luigi Bisogno, Silvia Facchini, Serena De Pellegrin, Alfonc Baba, Alex Lando, Anna Maria Basile, Francesco Piccione, Angelo Antonini, Corbetta Maurizio, Irene Bellin, Veronika Vadinova, Margherita Bertuccelli, Maria De Vita,
    Neurological Sciences.2026;[Epub]     CrossRef
  • Mechanisms of acupuncture-regulated cortical plasticity after stroke based on TMS-EEG-MEP integration
    Chuanfeng Qiu
    Neurological Sciences.2026;[Epub]     CrossRef
  • Acute Stroke Severity Assessment: The Impact of Lesion Size and Functional Connectivity
    Karolin Weigel, Christian Gaser, Stefan Brodoehl, Franziska Wagner, Elisabeth Jochmann, Daniel Güllmar, Thomas E. Mayer, Carsten M. Klingner
    Brain Sciences.2025; 15(7): 735.     CrossRef
  • Objective motor function assessment using diffusion tensor tractography in subacute acquired brain injury: A retrospective observational study
    Au-Jin Wang, Choong-Hee Roh, Myoung-Hwan Ko, Da-Sol Kim, Yu Hui Won, Sung-Hee Park, Jeong-Hwan Seo, Gi-Wook Kim
    Medicine.2025; 104(52): e46721.     CrossRef
  • Predictive value of motor-evoked potentials for upper limb functional outcomes in acute ischemic stroke
    Cheng-Chang Yen, Hsin-Hung Chen, Yu-He Li, Ching-Huang Lin
    Annals of Medicine.2025;[Epub]     CrossRef
  • From Qualitative to Quantitative Functional Assessment in Stroke Rehabilitation with a Focus on Ultrasound Role
    Rosita Rabbito, Eleonora Ficiarà, Lorenzo Priano, Matteo Bigoni, Caterina Guiot, Silvestro Roatta
    Biomedicines.2025; 13(11): 2594.     CrossRef
  • Stratified predictions of upper limb motor outcomes after stroke
    Chang-hyun Park, Min-Su Kim
    Frontiers in Neurology.2024;[Epub]     CrossRef
  • Effects of non-invasive cervical spinal cord neuromodulation by trans-spinal electrical stimulation on cortico-muscular descending patterns in upper extremity of chronic stroke
    Jianing Zhang, Maner Wang, Monzurul Alam, Yong-Ping Zheng, Fuqiang Ye, Xiaoling Hu
    Frontiers in Bioengineering and Biotechnology.2024;[Epub]     CrossRef
  • Transcutaneous auricular vagus nerve stimulation with task-oriented training improves upper extremity function in patients with subacute stroke: a randomized clinical trial
    Meng-Huan Wang, Yi-Xiu Wang, Min Xie, Li-Yan Chen, Meng-Fei He, Feng Lin, Zhong-Li Jiang
    Frontiers in Neuroscience.2024;[Epub]     CrossRef
  • A neural signature for brain compensation in stroke with EEG and TMS: Insights from the DEFINE cohort study
    Guilherme JM Lacerda, Kevin Pacheco-Barrios, Sara Pinto Barbosa, Lucas M Marques, Linamara Battistella, Felipe Fregni
    Neurophysiologie Clinique.2024; 54(5): 102985.     CrossRef
  • Effects of rTMS with Rehabilitation in Poststroke Hemiparetic Patients:
    Moe Fujita, Shuntarou Kawaguchi, Kota Nakamura, Shota Emi, Chikashi Fukaya, Sadahiro Maejima, Takamitsu Yamamoto
    Journal of Nihon University Medical Association.2024; 83(3): 91.     CrossRef
  • The Use of Diagnostic Transcranial Magnetic Stimulation as a Predictor of the Functional Outcome in Ischemic Stroke
    I. V. Pogonchenkova, S. S. Petrikov, E. V. Kostenko, A. G. Kashezhev, L. V. Petrova, M. V. Sinkin
    Russian Sklifosovsky Journal "Emergency Medical Care".2024; 13(3): 375.     CrossRef
  • Do kinematic measures, added to clinical measures, better predict upper extremity motor impairments at three months post-stroke?
    Sanjukta Sardesai, John M Solomon, A Sulfikar Ali, Ashokan Arumugam, Elton Dylan Nazareth, Aparna S Pai, Vasudeva Guddattu, Senthil Kumaran D
    Journal of Stroke and Cerebrovascular Diseases.2023; 32(8): 107245.     CrossRef
  • Possibilities neuroimaging and neurophysiological research methods to objectify rehabilitation potential in patients with ischemic stroke (analytical review of the literature)
    E. V. Kostenko, A. G. Kashezhev, D.  I. Nakhrapov, I. V. Pogonchenkova
    Meditsinskiy sovet = Medical Council.2023; (10): 32.     CrossRef
  • A Novel Neurorehabilitation Prognosis Prediction Modeling on Separated Left-Right Hemiplegia Based on Brain-Computer Interfaces Assisted Rehabilitation
    Zhimin Shao, Weibei Dou, Di Ma, Xiaoxue Zhai, Quan Xu, Yu Pan
    IEEE Transactions on Neural Systems and Rehabilitation Engineering.2023; 31: 3375.     CrossRef
  • Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations
    Vicentiu Mircea Saceleanu, Corneliu Toader, Horia Ples, Razvan-Adrian Covache-Busuioc, Horia Petre Costin, Bogdan-Gabriel Bratu, David-Ioan Dumitrascu, Andrei Bordeianu, Antonio Daniel Corlatescu, Alexandru Vlad Ciurea
    Biomedicines.2023; 11(10): 2617.     CrossRef
  • Transcranial magnetic stimulation implementation on stroke prognosis
    Stella Karatzetzou, Dimitrios Tsiptsios, Aikaterini Terzoudi, Nikolaos Aggeloussis, Konstantinos Vadikolias
    Neurological Sciences.2022; 43(2): 873.     CrossRef
  • Neuroimaging Techniques as Potential Tools for Assessment of Angiogenesis and Neuroplasticity Processes after Stroke and Their Clinical Implications for Rehabilitation and Stroke Recovery Prognosis
    Lidia Włodarczyk, Natalia Cichon, Joanna Saluk-Bijak, Michal Bijak, Agata Majos, Elzbieta Miller
    Journal of Clinical Medicine.2022; 11(9): 2473.     CrossRef
  • Machine Learning Methods Predict Individual Upper-Limb Motor Impairment Following Therapy in Chronic Stroke
    Ceren Tozlu, Dylan Edwards, Aaron Boes, Douglas Labar, K. Zoe Tsagaris, Joshua Silverstein, Heather Pepper Lane, Mert R. Sabuncu, Charles Liu, Amy Kuceyeski
    Neurorehabilitation and Neural Repair.2020; 34(5): 428.     CrossRef
  • Neurophysiological signatures of hand motor response to dual-transcranial direct current stimulation in subacute stroke: a TMS and MEG study
    I-Ju Kuo, Chih-Wei Tang, Yun-An Tsai, Shuen-Chang Tang, Chun-Jen Lin, Shih-Pin Hsu, Wei-Kuang Liang, Chi-Hung Juan, Catharina Zich, Charlotte J. Stagg, I-Hui Lee
    Journal of NeuroEngineering and Rehabilitation.2020;[Epub]     CrossRef
  • Prediction of Recovery and Outcome Using Motor Evoked Potentials and Brain Derived Neurotrophic Factor in Subacute Stroke
    Jan P. Bembenek, Katarzyna Kurczych, Bożena Kłysz, Agnieszka Cudna, Jakub Antczak, Anna Członkowska
    Journal of Stroke and Cerebrovascular Diseases.2020; 29(11): 105202.     CrossRef
  • Clinical improvement with intensive robot-assisted arm training in chronic stroke is unchanged by supplementary tDCS
    Dylan J. Edwards, Mar Cortes, Avrielle Rykman-Peltz, Johanna Chang, Jessica Elder, Gary Thickbroom, Juan J. Mariman, Linda M. Gerber, Clara Oromendia, Hermano I Krebs, Felipe Fregni, Bruce T. Volpe, Alvaro Pascual-Leone
    Restorative Neurology and Neuroscience.2019; 37(2): 167.     CrossRef
  • Effects of a tailored strength training program of the upper limb combined with transcranial direct current stimulation (tDCS) in chronic stroke patients: study protocol for a randomised, double-blind, controlled trial
    Marie-Hélène Milot, Stephania Palimeris, Hélène Corriveau, François Tremblay, Marie-Hélène Boudrias
    BMC Sports Science, Medicine and Rehabilitation.2019;[Epub]     CrossRef
  • Combining Fluoxetine and rTMS in Poststroke Motor Recovery: A Placebo-Controlled Double-Blind Randomized Phase 2 Clinical Trial
    Camila Bonin Pinto, Leon Morales-Quezada, Polyana Vulcano de Toledo Piza, Dian Zeng, Faddi Ghassan Saleh Vélez, Isadora Santos Ferreira, Pedro Henrique Lucena, Dante Duarte, Fernanda Lopes, Mirret M. El-Hagrassy, Luiz Vicente Rizzo, Erica C. Camargo, Davi
    Neurorehabilitation and Neural Repair.2019; 33(8): 643.     CrossRef
  • Mylohyoid motor evoked potentials can effectively predict persistent dysphagia 3 months poststroke
    K. M. Lee, M. C. Joo, Y. M. Yu, M.‐S. Kim
    Neurogastroenterology & Motility.2018;[Epub]     CrossRef
  • Restoring Motor Functions After Stroke: Multiple Approaches and Opportunities
    Estelle Raffin, Friedhelm C. Hummel
    The Neuroscientist.2018; 24(4): 400.     CrossRef
  • Does Resting Motor Threshold Predict Motor Hand Recovery After Stroke?
    Charlotte Rosso, Jean-Charles Lamy
    Frontiers in Neurology.2018;[Epub]     CrossRef
  • Prognostic factors for recovery of motor dysfunction following ischemic stroke
    Yury D. Barkhatov, Albert S. Kadykov
    Annals of Clinical and Experimental Neurology.2017; 11(1): 80.     CrossRef
  • Prognostic factors for recovery of motor dysfunction following ischemic stroke
    Yury D. Barkhatov, Albert S. Kadykov
    Annals of Clinical and Experimental Neurology.2017; 11(1): 80.     CrossRef
  • 10,735 View
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  • 25 Web of Science
  • 29 Crossref
Prognostic Factors Predicting Early Recovery of Pre-fracture Functional Mobility in Elderly Patients With Hip Fracture
Daegu Lee, Jae Yong Jo, Ji Sun Jung, Sang Jun Kim
Ann Rehabil Med 2014;38(6):827-835.   Published online December 24, 2014
DOI: https://doi.org/10.5535/arm.2014.38.6.827
Objective

To investigate the prognostic factors predicting the recovery of pre-fracture functional mobility, we evaluated this by the use of ambulatory assistive devices in short-term follow-up.

Methods

Five hundred and fifty-three elderly patients who had undergone hip fracture operations from January 2006 to June 2013 were enrolled in this retrospective study. Clinical characteristics and predicted factors affecting functional recovery, such as the delay of rehabilitation after the operation, were reviewed. The functional status of the gait was classified as either a bedridden state, wheelchair-bound state, walker gait, single cane gait, and self-gait without any ambulatory assistance device. When this functional grade in patients who recovered after the surgery was compared to before the surgery, this state was considered 'functional recovery'.

Results

One hundred and ninety-two patients (34.7%) showed recovery of preoperative mobility in the first month after their operation. Multiple logistic regression analysis identified that the following four factors were significantly associated with a deterioration of functional recovery: old age (odds ratio [OR], 0.95; 95% confidence interval [CI], 0.92-0.97), delays in rehabilitation after operation (OR, 0.94; 95% CI, 0.89-0.98), the presence of cognitive dysfunction (OR, 0.36; 95% CI, 0.18-0.71), and trochanteric fracturing (OR, 0.58; 95% CI, 0.36-0.94).

Conclusion

We found that old age, cognitive dysfunction, trochanteric fracture type, and delay of rehabilitation were associated with the deterioration of functional recovery after a hip fracture operation in the short-term. Therefore, early rehabilitation was required to acquire functional recovery after a hip fracture operation in the short-term.

Citations

Citations to this article as recorded by  
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    Sharon Groen, Hanne-Eva van Bremen, Jasper van Hees, Ellie B. M. Landman, Elvira R. Flikweert, Stijn A. A. N. Bolink
    Journal of Clinical Medicine.2026; 15(5): 1764.     CrossRef
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    European Journal of Orthopaedic Surgery & Traumatology.2026;[Epub]     CrossRef
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  • Improvement of early functional outcomes in hospitalized geriatric patients after hip surgery
    Dobrivoje Martinov, Ivana Berkovic, Vladimir Brtka, Tatjana Stojkovic-Jovanovic, Visnja Ognjenovic
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  • Cognitive Impairment in Hip Fracture Patients without Underlying Neurologic Diseases: Risk Factors and Relationship to Early Functional Recovery: Preliminary Study
    Jae-Yong Park, Yong-Beom Lee, Kun-Tae Park, Je-Hyun Yoo, Narei Hong
    Journal of the Korean Fracture Society.2016; 29(1): 34.     CrossRef
  • Acute Care Physical Therapy for a Patient With Hip Fracture and Sternal Restrictions: Applying the Evidence and Collaborating Through the Dilemma
    Jonathan R. Sutter, Kayla C. Vickers, Nicole F. Wodka
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  • Anemia on Admission Is an Independent Predictor of Long-Term Mortality in Hip Fracture Population
    Licheng Zhang, Pengbin Yin, Houchen Lv, Anhua Long, Yuan Gao, Lihai Zhang, Peifu Tang
    Medicine.2016; 95(5): e2469.     CrossRef
  • Prediction of Ambulatory Status After Hip Fracture Surgery in Patients Over 60 Years Old
    Jae Lim Kim, Ji Sun Jung, Sang Jun Kim
    Annals of Rehabilitation Medicine.2016; 40(4): 666.     CrossRef
  • Modifiable and non-modifiable risk factors affecting walking recovery after hip fracture
    G. Pioli, F. Lauretani, F. Pellicciotti, P. Pignedoli, C. Bendini, M. L. Davoli, E. Martini, A. Zagatti, A. Giordano, A. Nardelli, A. Zurlo, D. Bianchini, E. Sabetta, A. Ferrari, C. Tedeschi, M. L. Lunardelli
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