• KARM
  • Contact us
  • E-Submission
ABOUT
ARTICLE TYPES
BROWSE ARTICLES
AUTHOR INFORMATION

Page Path

2
results for

"Ahee Lee"

Filter

Article category

Publication year

"Ahee Lee"

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
  • 11,204 View
  • 148 Download
  • 25 Web of Science
  • 29 Crossref
Prediction of Motor Recovery Using Diffusion Tensor Tractography in Supratentorial Stroke Patients With Severe Motor Involvement
Kang Hee Kim, Yun-Hee Kim, Min Su Kim, Chang-hyun Park, Ahee Lee, Won Hyuk Chang
Ann Rehabil Med 2015;39(4):570-576.   Published online August 25, 2015
DOI: https://doi.org/10.5535/arm.2015.39.4.570
Objective

To investigate whether early stage diffusion tensor tractography (DTT) values predict motor function at 3 months after onset in supratentorial stroke patients with severe motor involvement.

Methods

A retrospective study design was used to analyze medical records and neuroimaging data of 49 supratentorial stroke patients with severe motor involvement. Diffusion tensor imaging was assessed within 3 weeks after stroke in all patients. Three-dimensional tractography of the ipsilateral corticospinal tract (CST) was performed using the fiber assignment of the continuous tracking algorithm. The two-step DTT analysis was used. The first step was classification according to ipsilateral CST visualization. The second step was a quantitative analysis of the visible-CST group parameters. Motor function was assessed at 2 weeks and at 3 months after stroke. Comparative and correlation analyses were performed between DTT-derived measures and motor assessment scores.

Results

Motor function of the upper extremity at 3 months after stroke was significantly higher in the visible-CST group than that in the nonvisible-CST group (p<0.05). Early stage fractional anisotropy was of DTT correlated significantly with upper extremity motor function at 3 months after stroke in the visible-CST group (p<0.05).

Conclusion

These results demonstrate that early DTT-derived measures predict motor recovery in the upper extremity at 3 months after onset in supratentorial stroke patients with severe motor involvement.

Citations

Citations to this article as recorded by  
  • The relationship between corticospinal tract and the affected lower limb function and walking ability in subacute stroke patients: a preliminary study
    Tomohiro Oyamada, Masaki Kobayashi, Kentaro Yotsumoto, Takeshi Kawarabayashi, Shigeru Usuda
    Journal of Physical Therapy Science.2026; 38(3): 117.     CrossRef
  • Predictive value of corticospinal tract integrity and clinical factors for post-stroke motor recovery using diffusion tensor imaging
    Jihee Park, Sekwang Lee, Yoonhye Na, Minjae Cho, Sung-Bom Pyun
    Clinical Neurophysiology.2026; 186: 2111848.     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
  • Evaluating the axonal injury and predicting the motor function recovery in supratentorial acute stroke patients
    Anh Tuan Tran, Van Tuan Nguyen, Quang Huy Huynh, Dinh Minh Nguyen, Huy Manh Bui, Hai Dang Vu, Tuan Vu Nguyen, Thu Ha Nguyen-Thi
    Interdisciplinary Neurosurgery.2024; 36: 101919.     CrossRef
  • Neuroimaging of motor recovery after ischemic stroke − functional reorganization of motor network
    Pei Yu, Ruoyu Dong, Xiao Wang, Yuqi Tang, Yaning Liu, Can Wang, Ling Zhao
    NeuroImage: Clinical.2024; 43: 103636.     CrossRef
  • Mối tương quan giữa một số chỉ số trên cộng hưởng từ bó tháp trong tiên lượng khả năng phục hồi chức năng vận động ở bệnh nhân nhồi máu não vùng trên lều
    Thị Phương Lâm Trịnh, Thị Thanh Bình Nguyễn, Thị Mỹ Lê, Công Tiến Nguyễn
    Tạp chí thần kinh học Việt Nam.2024; (43): 42.     CrossRef
  • A Diffusion Tensor Imaging–Based Prognostic Classification for Surgery of Intrinsic Lesions Involving the Motor Pathways
    Giovanni Muscas, Antonio Pisano, Riccardo Carrai, Andrea Bianchi, Federico Capelli, Vita Maria Montemurro, Cristiana Martinelli, Enrico Fainardi, Antonello Grippo, Alessandro Della Puppa
    World Neurosurgery.2023; 172: e565.     CrossRef
  • Beyond Diffusion Tensor MRI Methods for Improved Characterization of the Brain after Ischemic Stroke: A Review
    E.V.R. DiBella, A. Sharma, L. Richards, V. Prabhakaran, J.J. Majersik, S.K. HashemizadehKolowri
    American Journal of Neuroradiology.2022; 43(5): 661.     CrossRef
  • Relationship between size and location of infarction beside lateral ventricle and motor recovery following rehabilitation
    You-Kui Lv, Li-Ping Huang, Zhuang-Wei Fang, Gang Wang, Li-Kang Wang, Ming Zhou, Xin-Ling Su, Dan-Yang Ding, Xing-Lin Wang
    NeuroRehabilitation.2022; 51(3): 527.     CrossRef
  • Elucidating the mechanisms of post-stroke motor recovery mediated by electroacupuncture using diffusion tensor tractography
    Min Su Kim, Byung Soon Moon, Jae-yoon Ahn, Sang-song Shim, Jong-Min Yun, Min Cheol Joo
    Frontiers in Neurology.2022;[Epub]     CrossRef
  • An overview of fractional anisotropy as a reliable quantitative measurement for the corticospinal tract (CST) integrity in correlation with a Fugl-Meyer assessment in stroke rehabilitation
    Mohd Khairul Izamil Zolkefley, Younis M. S. Firwana, Hasnettty Zuria Mohamed Hatta, Christina Rowbin, Che Mohd Nasril Che Mohd Nassir, Muhammad Hafiz Hanafi, Mohd Shafie Abdullah, Muzaimi Mustapha
    Journal of Physical Therapy Science.2021; 33(1): 75.     CrossRef
  • Proprioception and motor performance after stroke: An examination of diffusion properties in sensory and motor pathways
    Sonja E. Findlater, Erin L. Mazerolle, G. Bruce Pike, Sean P. Dukelow
    Human Brain Mapping.2019; 40(10): 2995.     CrossRef
  • Brain networks and their relevance for stroke rehabilitation
    Adrian G. Guggisberg, Philipp J. Koch, Friedhelm C. Hummel, Cathrin M. Buetefisch
    Clinical Neurophysiology.2019; 130(7): 1098.     CrossRef
  • Can the integrity of the corticospinal tract predict the long-term motor outcome in poststroke hemiplegic patients?
    Ae Ryoung Kim, Dae Hyun Kim, So Young Park, Sunghyon Kyeong, Yong Wook Kim, Seung Koo Lee, Deog Young Kim
    NeuroReport.2018; 29(6): 453.     CrossRef
  • On the validity of lesion-behaviour mapping methods
    Christoph Sperber, Hans-Otto Karnath
    Neuropsychologia.2018; 115: 17.     CrossRef
  • Prediction of lower extremity motor recovery in persons with severe lower extremity paresis after stroke
    Sheau-Ling Huang, Bang-Bin Chen, I-Ping Hsueh, Jiann-Shing Jeng, Chia-Lin Koh, Ching-Lin Hsieh
    Brain Injury.2018; 32(5): 627.     CrossRef
  • Utility of Fractional Anisotropy in Cerebral Peduncle for Stroke Outcome Prediction: Comparison of Hemorrhagic and Ischemic Strokes
    Tetsuo Koyama, Masatoshi Koumo, Yuki Uchiyama, Kazuhisa Domen
    Journal of Stroke and Cerebrovascular Diseases.2018; 27(4): 878.     CrossRef
  • Can Neurological Biomarkers of Brain Impairment Be Used to Predict Poststroke Motor Recovery? A Systematic Review
    Bokkyu Kim, Carolee Winstein
    Neurorehabilitation and Neural Repair.2017; 31(1): 3.     CrossRef
  • Longitudinal Structural and Functional Differences Between Proportional and Poor Motor Recovery After Stroke
    Adrian G. Guggisberg, Pierre Nicolo, Leonardo G. Cohen, Armin Schnider, Ethan R. Buch
    Neurorehabilitation and Neural Repair.2017; 31(12): 1029.     CrossRef
  • Contribution of Neuro-Imaging for Prediction of Functional Recovery after Ischemic Stroke
    Wolf-Dieter Heiss
    Cerebrovascular Diseases.2017; 44(5-6): 266.     CrossRef
  • Association Between Brain-Derived Neurotrophic Factor Genotype and Upper Extremity Motor Outcome After Stroke
    Won Hyuk Chang, Eunhee Park, Jungsoo Lee, Ahee Lee, Yun-Hee Kim
    Stroke.2017; 48(6): 1457.     CrossRef
  • Predicting motor improvement after stroke with clinical assessment and diffusion tensor imaging
    Ethan R. Buch, Sviatlana Rizk, Pierre Nicolo, Leonardo G. Cohen, Armin Schnider, Adrian G. Guggisberg
    Neurology.2016; 86(20): 1924.     CrossRef
  • 8,037 View
  • 87 Download
  • 19 Web of Science
  • 22 Crossref
TOP