Cited by 693Motor Control and AdaptationTranscranial Magnetic Stimulation StudiesStroke Rehabilitation and Recovery

The DOI matches its Crossref record; 32 of the 32 references it cites were found in a registry or an index.

Motor learning elicited by voluntary drive

Lotze, M.·2003·Brain

Open this paper in CoChat — free account

Abstract

Motor training consisting of voluntary movements leads to performance improvements and results in characteristic reorganizational changes in the motor cortex. It has been proposed that repetition of passively elicited movements could also lead to improvements in motor performance. In this study, we compared behavioural gains, changes in functional MRI (fMRI) activation in the contralateral primary motor cortex (cM1) and in motor cortex excitability measured with transcranial magnetic stimulation (TMS) after a 30 min training period of either voluntarily (active) or passively (passive) induced wrist movements, when alertness and kinematic aspects of training were controlled. During active training, subjects were instructed to perform voluntary wrist flexion-extension movements of a specified duration (target window 174-186 ms) in an articulated splint. Passive training consisted of wrist flexion- extension movements elicited by a torque motor, of the same amplitude and duration range as in the active task. fMRI activation and TMS parameters of motor cortex excitability were measured before and after each training type. Motor performance, measured as the number of movements that hit the target window duration, was significantly better after active than after passive training. Both active and passive movements performed during fMRI measurements activated cM1. Active training led to more prominent increases in (i) fMRI activation of cM1; (ii) recruitment curves (TMS); and (iii) intracortical facilitation (TMS) than passive training. Therefore, a short period of active motor training is more effective than passive motor training in eliciting performance improvements and cortical reorganization. This result is consistent with the concept of a pivotal role for voluntary drive in motor learning and neurorehabilitation.

Integrity signals

Registry

Crossref · 10.1093/brain/awg079

Cites

32 of 32 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single subject brain
Tzourio-Mazoyer, N., Landeau, B., Papathanassiou, D., Crivello, F., Etard, O., Delcroix, N., Mazoyer, B., & Joliot, M. (2002) · NeuroImage · doi:10.1006/nimg.2001.0978 · Cited by 16,319
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Neurophysiological investigation of the basis of the fMRI signal
Logothetis, N. K., Pauls, J., Augath, M., Trinath, T., & Oeltermann, A. (2001) · Nature · doi:10.1038/35084005 · Cited by 6,551
Co-planar stereotaxic atlas of the human brain : 3-dimensional proportional system : an approach to cerebral imaging
Talairach, J., Tournoux, P., & Rayport, M. (1988) · Thieme eBooks · Cited by 5,058
Corticocortical inhibition in human motor cortex.
Kujirai, T., Caramia, M. D., Rothwell, J. C., Day, B. L., Thompson, P. D., Ferbert, A., Wroe, S. J., Asselman, P., & MARSDEN, C. D. (1993) · The Journal of Physiology · doi:10.1113/jphysiol.1993.sp019912 · Cited by 3,132
Non-invasive electrical and magnetic stimulation of the brain, spinal cord and roots: Basic principles and procedures for routine clinical application. Report of an IFCN committee
Rossini, P. M., Barker, A. T., Berardelli, A., Caramia, M. D., Caruso, G., Cracco, R. Q., Dimitrijević, M. R., Hallett, M., Katayama, Y., Lücking, C. H., et al. (1994) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(94)90029-9 · Cited by 3,030
Functional MRI evidence for adult motor cortex plasticity during motor skill learning
Kami, A., Meyer, G., Jezzard, P., Adams, M. M., Turner, R., & Ungerleider, L. G. (1995) · Nature · doi:10.1038/377155a0 · Cited by 1,883
Transcranial magnetic stimulation and the human brain
Hallett, M. (2000) · Nature · doi:10.1038/35018000 · Cited by 1,603 · cited 1×
“TMS is a non-invasive technique that allows the evaluation of corticomotor neuronal excitability levels in humans (Hallett, 2000).”
Background
A spelling device for the paralysed
Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999) · Nature · doi:10.1038/18581 · Cited by 1,577
Induction of plasticity in the human motor cortex by paired associative stimulation
Stefan, K. (2000) · Brain · doi:10.1093/brain/123.3.572 · Cited by 1,484

Flagged first, then by citations

Show all 32 references

Sorted by citations

Items 401–500 of 693

Admittance Trajectory Tracking using a Challenge-Based Rehabilitation Robot with Functional Electrical Stimulation
Cousin, C. A., Duenas, V. H., Rouse, C. A., & Dixon, W. E. (2018) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.23919/acc.2018.8431750 · Cited by 11
Effects of robot-assisted gait training alongside conventional therapy on the development of walking in children with cerebral palsy
Sucuoğlu, H. (2020) · Journal of Pediatric Rehabilitation Medicine · doi:10.3233/prm-180541 · Cited by 11
A Day Awake Attenuates Motor Learning-Induced Increases in Corticomotor Excitability
de Beukelaar, T. T., Soom, J. V., Huber, R., & Wenderoth, N. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00138 · Cited by 12
Degree of adaptability of the somatosensory cortex to change: Prospects for integration of bone‐mounted dental prostheses
Calford, M. B. (2005) · Clinical and Experimental Pharmacology and Physiology · doi:10.1111/j.1440-1681.2005.04138.x · Cited by 11
Effects of within-day intervals on adaptation to visually induced motion sickness in a virtual-reality motorcycling simulator
Kasegawa, C., Itaguchi, Y., Yamawaki, Y., Miki, M., Hayashi, M., & Miyazaki, M. (2024) · Scientific Reports · doi:10.1038/s41598-024-71526-9 · Cited by 12
Treatments for Neurological Gait and Balance Disturbance: The Use of Noninvasive Electrical Brain Stimulation
Kaski, D. N., & Bronstein, A. M. (2014) · Advances in Neuroscience · doi:10.1155/2014/573862 · Cited by 10
A Multi-channel EMG-Driven FES Solution for Stroke Rehabilitation
Zhou, Y., Fang, Y., Zeng, J., Li, K., & Liu, H. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-97586-3_21 · Cited by 10
Cross-Modal Effect of Presenting Visual and Force Feedback That Create the Illusion of Stair-Climbing
Okumura, T., & Kurita, Y. (2021) · Applied Sciences · doi:10.3390/app11072987 · Cited by 10
Reward and plasticity: Implications for neurorehabilitation
Johnson, B. P., & Cohen, L. G. (2022) · Handbook of clinical neurology · doi:10.1016/b978-0-12-819410-2.00018-7 · Cited by 15
Hybrid Zero Dynamics Control of an Underactuated Lower-Limb Exoskeleton for Gait Guidance
Goo, A. C., Laubscher, C. A., & Sawicki, J. T. (2022) · Journal of Dynamic Systems Measurement and Control · doi:10.1115/1.4053946 · Cited by 10
Linking actions and objects: Context-specific learning of novel weight priors
Trewartha, K. M., & Flanagan, J. R. (2017) · Cognition · doi:10.1016/j.cognition.2017.02.014 · Cited by 10
Repetitive Passive Movement Modulates Corticospinal Excitability: Effect of Movement and Rest Cycles and Subject Attention
Tsuiki, S., Sasaki, R., Pham, M. V., Miyaguchi, S., Kojima, S., Saito, K., Inukai, Y., Otsuru, N., & Onishi, H. (2019) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2019.00038 · Cited by 10
Sensory features of mental images in the framework of human actions
Krüger, B., Zabicki, A., Grosse, L., Naumann, T., & Munzert, J. (2020) · Consciousness and Cognition · doi:10.1016/j.concog.2020.102970 · Cited by 13
Effect of the Cognitive Orientation to daily Occupational Performance (CO-OP) approach for children with cerebral palsy: A randomized controlled trial
Kolit, Z., & Ekici, G. (2022) · Journal of Pediatric Rehabilitation Medicine · doi:10.3233/prm-210085 · Cited by 10
Effects of robotic exoskeleton control options on lower limb muscle synergies during overground walking: An exploratory study among able-bodied adults
Escalona, M. J., Bourbonnais, D., Flem, D. L., Goyette, M., Duclos, C., & Gagnon, D. H. (2020) · Neurophysiologie Clinique · doi:10.1016/j.neucli.2020.04.004 · Cited by 10
Corticospinal Adaptation to Short-Term Horizontal Balance Perturbation Training
Hu, N., Piirainen, J. M., Kidgell, D. J., Walker, S., & Avela, J. (2023) · Brain Sciences · doi:10.3390/brainsci13081209 · Cited by 9
Cooperative Hand Therapy via a Soft, Wearable, and Unilateral Telerobotic System
Kim, D. H., Lee, Y., & Park, H. (2022) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2022.3191690 · Cited by 10
Mirror therapy for severely affected ankle joints of stroke patients
Wada, Y., Kondo, I., Sonoda, S., Yamada, K., Narukawa, A., Kawakami, K., 野々山, 紗., Miyasaka, H., Teranishi, T., Nagai, S., et al. (2011) · Japanese Journal of Comprehensive Rehabilitation Science · doi:10.11336/jjcrs.2.71 · Cited by 9
A pilot study on the optimal speeds for passive wrist movements by a rehabilitation robot of stroke patients: A functional NIRS study
Bae, S., Jang, S. H., Seo, J. P., & Chang, P. H. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009213 · Cited by 9
A Novel Design and Implementation of a 4-DOF Upper Limb Exoskeleton for Stroke Rehabilitation with Active Assistive Control Strategy
Sutapun, A., & Sangveraphunsiri, V. (2017) · Engineering Journal · doi:10.4186/ej.2017.21.7.275 · Cited by 9
Force Control of Series Elastic Actuators-Driven Parallel Robot
Lee, H., Kwak, S., & Oh, S. (2018) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2018.8460768 · Cited by 9
Rehabilitation Robotics
(1995) · Series in medical physics and biomedical engineering · doi:10.1201/9781420050325.ch12 · Cited by 9
Research Progress of Rehabilitation Exoskeletal Robot and Evaluation Methodologies Based on Bioelectrical Signals
Wang, F., Wei, X., Guo, J., Zheng, Y., Li, J., & Du, S. (2019) · IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems · doi:10.1109/cyber46603.2019.9066492 · Cited by 9
Gait Training Using a Wearable Robotic Device for Non-Traumatic Spinal Cord Injury: A Case Report
Yoshikawa, K., Mutsuzaki, H., Koseki, K., Endo, Y., Hashizume, Y., Nakazawa, R., Aoyama, T., Yozu, A., & Kohno, Y. (2020) · Geriatric Orthopaedic Surgery & Rehabilitation · doi:10.1177/2151459320956960 · Cited by 9
Technology of the Robotic Gait Orthosis Lokomat
Marchal–Crespo, L., & Riener, R. (2022) · Springer eBooks · doi:10.1007/978-3-031-08995-4_29 · Cited by 10
Dopaminergic influences on changes in human tactile acuity induced by tactile coactivation
Bliem, B., Frombach, E., Ragert, P., Knossalla, F., Woitalla, D., Tegenthoff, M., & Dinse, H. (2007) · Experimental Brain Research · doi:10.1007/s00221-007-0912-5 · Cited by 9
The effect of external cues with vibratory stimulation on spatiotemporal gait parameters in chronic stroke patients
Park, J. M., Lim, H.-S., & Song, C. H. (2015) · Journal of Physical Therapy Science · doi:10.1589/jpts.27.377 · Cited by 9
Automation in Rehabilitation: How to Include the Human into the Loop
Riener, R., Duschau-Wicke, A., Koenig, A. C., Bolliger, M., Wieser, M., & Vallery, H. (2009) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-642-03895-2_52 · Cited by 9
Post-exercise cortical depression following repetitive passive finger movement
Otsuka, R., Sasaki, R., Tsuiki, S., Kojima, S., & Onishi, H. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.07.030 · Cited by 9
Adaptive Control Strategy for Gait Rehabilitation Robot to Assist-When-Needed
Chen, G., Ye, J., Liu, Q., Duan, L., Li, W., Wu, Z., & Wang, C. (2018) · IEEE International Conference on Real-time Computing and Robotics (RCAR) · doi:10.1109/rcar.2018.8621706 · Cited by 9
Effects of Motor Training on Accuracy and Precision of Jaw and Finger Movements
Chen, Y., Wu, S., Tang, Z., Zhang, J., Wang, L., Yu, L., Wang, K., & Svensson, P. J. (2019) · Neural Plasticity · doi:10.1155/2019/9593464 · Cited by 9
Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectivenessPreprint
de Miguel-Fernández, J., Lobo-Prat, J., Prinsen, E. C., Font-Llagunes, J. M., & Marchal–Crespo, L. (2022) · Research Square · doi:10.21203/rs.3.rs-1195778/v1 · Cited by 9
Performance-Based Robotic Training in Individuals with Subacute Stroke: Differences between Responders and Non-Responders
Pila, O., Duret, C., Koeppel, T., & Jamin, P. (2023) · Sensors · doi:10.3390/s23094304 · Cited by 10
An adaptive hand exoskeleton rehabilitation training system integrating virtual reality and an AI-based assessment engine
Cui, J. (2025) · Frontiers in Sports and Active Living · doi:10.3389/fspor.2025.1724021 · Cited by 12
Mirror Visual Feedback na Recuperação Motora e Funcional da Mão Após Acidente Vascular Cerebral
Souza, W. C., Rangel, M. D. C. M., & da Silva, E. B. (2001) · Revista Neurociências · doi:10.4181/rnc.2012.20.685.6p · Cited by 8
Benefits of a Wearable Cyborg HAL (Hybrid Assistive Limb) in Patients with Childhood-Onset Motor Disabilities: A 1-Year Follow-Up Study
Kuroda, M. M., Iwasaki, N., Mutsuzaki, H., Yoshikawa, K., Takahashi, K., Nakayama, T., Nakayama, J., Takeuchi, R., Mataki, Y., Ohguro, H., et al. (2023) · Pediatric Reports · doi:10.3390/pediatric15010017 · Cited by 8
Cadence and Admittance Control of a Motorized Functional Electrical Stimulation Cycle
Cousin, C. A., Duenas, V. H., Rouse, C. A., & Dixon, W. E. (2018) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2018.8618685 · Cited by 8
Efficacy and Safety Study of Wearable Cyborg HAL (Hybrid Assistive Limb) in Hemiplegic Patients With Acute Stroke (EARLY GAIT Study): Protocols for a Randomized Controlled Trial
Watanabe, H., Marushima, A., Kadone, H., Shimizu, Y., Kubota, S., Hino, T., Sato, M., Ito, Y., Hayakawa, M., Tsurushima, H., et al. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.666562 · Cited by 8
Recovery from ischemic stroke: a translational research perspective for neurology
Seitz, R. J., & Buetefisch, C. M. (2006) · Future Neurology · doi:10.2217/14796708.1.5.571 · Cited by 8
Intention Estimation and Walking Assistance for Severe Paraplegic Patients Having Difficulty in Controlling Neuromuscular Activity
HAYASHI, T., Iwatsuki, K., & Sankai, Y. (2011) · TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C · doi:10.1299/kikaic.77.439 · Cited by 8
Effects of a lumbar-type hybrid assistive limb on cardiopulmonary burden during squat exercise in healthy subjects
Watanabe, H., Koike, A., Pak, Y. J., Wu, L., Kubota, H., Konno, H., Sato, A., Kawamoto, H., Matsumura, A., Aonuma, K., et al. (2019) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2019.05.026 · Cited by 8
Biomechanical Assessment of Fugl-Meyer Score: The Case of One Post Stroke Patient Who has Undergone the Rehabilitation using Hand Exoskeleton Controlled by Brain-Computer Interface
Dzhalagoniya, I. Z., Biryukova, E., Bushkova, Y., Курганская, М. Е., Дмитриевич, Б. П., & Frolov, A. (2018) · International Journal of Physical Medicine & Rehabilitation · doi:10.4172/2329-9096.1000468 · Cited by 8
Early stages of sensorimotor map acquisition: learning with free exploration, without active movement or global structure
van Vugt, F. T., & Ostry, D. J. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00429.2019 · Cited by 8
Low-level voluntary input enhances corticospinal excitability during ankle dorsiflexion neuromuscular electrical stimulation in healthy young adults
Yamaguchi, A., Sasaki, A., Popović, M. R., Milosevic, M., & Nakazawa, K. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282671 · Cited by 7
Target-centered Subject Transfer Framework for EEG Data Augmentation
Yin, K., Lee, B.-H., Kwon, B.-H., & Cho, J.-H. (2023) · International Winter Conference on Brain-Computer Interface (BCI) · doi:10.1109/bci57258.2023.10078578 · Cited by 8
Competition Increases the Effort Put Into a Physical Interaction Task
Takagi, A., Bagnato, C., Melendez-Calderon, A., Jarrassé, N., Ganesh, G., & Burdet, E. (2023) · IEEE Transactions on Haptics · doi:10.1109/toh.2023.3306794 · Cited by 7
A Review on Combined Strategy of Non-invasive Brain Stimulation and Robotic Therapy
Zhang, L., Chang, Y., Zhang, F., & Li, J. (2024) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-024-01106-5 · Cited by 7
A Once-Calibration Brain-Computer Interface to Enhance Convenience for Continuous BCI Interventions in Stroke Patients
Rao, Z., Zhang, R., He, S., Zhou, Y., Lu, Z., Li, K., & Li, Y. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3510059 · Cited by 7
The effect of asymmetric movement support on muscle activity during Lokomat guided gait in able-bodied individuals
Weiland, S., Smit, I. H., Reinders‐Messelink, H. A., van der Woude, L. H. V., van Kammen, K., & den Otter, R. (2018) · PLoS ONE · doi:10.1371/journal.pone.0198473 · Cited by 7
Motor learning in hemi-Parkinson using VR-manipulated sensory feedback
Ossmy, O., Mansano, L., Frenkel‐Toledo, S., Kagan, E., Koren, S., Gilron, R., Reznik, D., Soroker, N., & Mukamel, R. (2020) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2020.1785561 · Cited by 7
Can training of a skilled pelvic movement change corticomotor control of back muscles? Comparison of single and paired‐pulse transcranial magnetic stimulation
Shraim, M. A., Massé‐Alarie, H., Salomoni, S. E., & Hodges, P. W. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15683 · Cited by 7
Chapter 54 Imaging functional recovery from stroke
Cramer, S. C., & Seitz, R. J. (2008) · Handbook of clinical neurology · doi:10.1016/s0072-9752(08)94054-9 · Cited by 8
Towards the development of more human-like robotic therapy devices: A review
Sy, A. C., & Bugtai, N. T. (2010) · IEEE Workshop on Health Care Management (WHCM) · doi:10.1109/whcm.2010.5441275 · Cited by 7
Noninvasive Brain Machine Interfaces for Assistive and Rehabilitation Robotics
Lisi, G., & Morimoto, J. (2016) · Elsevier eBooks · doi:10.1016/b978-0-12-803137-7.00006-9 · Cited by 7
Changes in motor cortex excitability for the trained and non-trained hand after long-term unilateral motor training
Grothe, M., Doppl, K., Roth, C., Roschka, S., Platz, T., & Lotze, M. (2017) · Neuroscience Letters · doi:10.1016/j.neulet.2017.03.016 · Cited by 7
Self-citation
Position and torque control via rehabilitation robot and functional electrical stimulation
Cousin, C. A., Rouse, C. A., Duenas, V. H., & Dixon, W. E. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009218 · Cited by 7
Neuromuscular Electrical Stimulation with Kilohertz Frequency Alternating Current to Enhance Sensorimotor Cortical Excitability
Yun, Z., Lai, J. J., Wu, X. Y., Qu, W., Wang, M. Q., Chen, L., Hu, N., Wang, X., & Hou, W. (2018) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2018.8512855 · Cited by 7
Machine Learning for Motor Learning: EEG-based Continuous Assessment of Cognitive Engagement for Adaptive Rehabilitation Robots
Kumar, N., & Michmizos, K. P. (2020) · IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob49111.2020.9224368 · Cited by 7
Smart Protocols for Physical Therapy of Foot Drop Based on Functional Electrical Stimulation: A Case Study
Malesevic, J. M., Konstantinović, L. M., Bijelić, G., & Malešević, N. (2021) · Healthcare · doi:10.3390/healthcare9050502 · Cited by 7
Short-term Performance-based Error-augmentation versus Error-reduction Robotic Gait Training for Individuals with Chronic Stroke: A Pilot Study.
Kao, P.-C., Srivastava, S., Higginson, J. S., Agrawal, S. K., & Scholz, J. P. (2015) · PubMed · Cited by 7
A reaching hand : towards an Active Therapeutic Device for the upper extremity following stroke
Krabben, T. (2018) · doi:10.3990/1.9789036546607 · Cited by 7
Effects of short‐term motor training on accuracy and precision of simple jaw and finger movements after orthodontic treatment and orthognathic surgery: A case‐control study
Liu, J., Hou, W., Gu, J., Chen, W., Wang, K., Svensson, P. J., & Yan, B. (2023) · Journal of Oral Rehabilitation · doi:10.1111/joor.13459 · Cited by 5
Design of a Savitzky-Golay Filter-Based vEMG-FES System
Cao, R., Sheng, Y., Dong, A., & Liu, H. (2025) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2025.3535639 · Cited by 7
Virtual reality mediated brain-computer interface training improves sensorimotor neuromodulation in unimpaired and post spinal cord injury individuals
Mannan, M. M. N., Palipana, D. B., Mulholland, K., Jurd, E., Lloyd, E. C. R., Quinn, A. R. J., Crossley, C., Rabbi, M. F., Lloyd, D. G., Teng, Y. D., et al. (2026) · Scientific Reports · doi:10.1038/s41598-026-36431-3 · Cited by 7
Adjustment effect during shoulder abduction training with the Hybrid Assistive Limb in a patient with postoperative C5 palsy
Kubota, S., Kadone, H., Shimizu, Y., Koda, M., Miura, K., Takahashi, H., Watanabe, H., Marushima, A., Hada, Y., Sankai, Y., et al. (2021) · Journal of Clinical Neuroscience · doi:10.1016/j.jocn.2021.03.042 · Cited by 6
Utilization of a wrist-mounted accelerometer to count movement repetitions
Sanka, S., Reddy, P. G., Alt, A., Reinthal, A. K., & Sridhar, N. (2012) · doi:10.1109/comsnets.2012.6151379 · Cited by 6
Human-FES cooperative control for wrist movement: a preliminary study
Gui, K., Yokoi, H., & Zhang, D. (2016) · European Journal of Translational Myology · doi:10.4081/ejtm.2016.6162 · Cited by 6
A Mobile Cable-Tensioning Platform to Improve Crouch Gait in Children With Cerebral Palsy
Cho, S., Lee, K.-D., & Park, H. (2022) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2022.3167472 · Cited by 6
Robot-Aided Gait Training with LOPES
van Asseldonk, E. H. F., & van der Kooij, H. (2016) · Springer eBooks · doi:10.1007/978-3-319-28603-7_22 · Cited by 6
Automated kinesthetic trainer enhances kinesthetic memory development
Zhong, P., & Stone, R. (2013) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2013.02.007 · Cited by 6
Can passive arm movement affect adaptation to visuomotor rotation?
Sakamoto, T., & Kondo, T. (2012) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/devlrn.2012.6400824 · Cited by 6
Interactive control methods for rehabilitation robot
Liang, X., Wang, W., Hou, Z., Ren, S., Peng, L., & Jin, H. (2017) · Scientia Sinica Informationis · doi:10.1360/n112017-00072 · Cited by 6
Comparison of the Patients with Complete and Incomplete Spinal Cord Injury Administered Robotic-Assisted Gait Training Treatment
Çınar, Ç., Öneş, K., Yıldırım, M. A., & Gökşenoğlu, G. (2020) · Fiziksel Tıp ve Rehabilitasyon Bilimleri Dergisi · doi:10.31609/jpmrs.2019-70083 · Cited by 6
The Role of Serious Games in Robot Exoskeleton-Assisted Rehabilitation of Stroke Patients
Cornforth, D. J., Koenig, A. C., Riener, R., August, K. G., Khandoker, A. H., Karmakar, C. K., Palaniswami, M. S., & Jelinek, H. F. (2015) · Springer eBooks · doi:10.1007/978-3-319-05834-4_10 · Cited by 6
Different motor learning effects on excitability changes of motor cortex in muscle contraction state
Sugawara, K., Tanabe, S., Suzuki, T., & Higashi, T. (2013) · Somatosensory & Motor Research · doi:10.3109/08990220.2013.779244 · Cited by 6
The Human in the Loop
Koenig, A. C., & Riener, R. (2011) · Springer eBooks · doi:10.1007/978-1-4471-2277-7_3 · Cited by 6
Transcranial magnetic stimulation as a tool to study the role of the motor cortex in human muscle function
Avela, J., & Gruber, M. (2010) · doi:10.1002/9781444324822.ch8 · Cited by 10
The effects of combined transcranial brain stimulation and a 4-week visuomotor stepping training on voluntary step initiation in persons with chronic stroke—a pilot study
Tseng, S.-C., Cherry, D., Ko, M., Fisher, S. R., Furtado, M., & Chang, S. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1286856 · Cited by 3
The effect of skilled motor training on corticomotor control of back muscles in different presentations of low back pain
Shraim, M. A., Massé‐Alarie, H., Salomoni, S. E., & Hodges, P. W. (2023) · Journal of Electromyography and Kinesiology · doi:10.1016/j.jelekin.2023.102782 · Cited by 5
Excitability Changes in Intracortical Neural Circuits Induced by Differentially Controlled Walking Patterns
Ito, T., Tsubahara, A., Shinkoda, K., Yoshimura, Y., Kobara, K., & Osaka, H. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117931 · Cited by 6
Work with me, not for me: Relationship between robotic assistance and performance in subacute and chronic stroke patients
Kager, S., Hussain, A., Budhota, A., Dailey, W., Hughes, C. M., Vishwanath, D. A., Kuah, C. W. K., Ng, C. Y., Yam, L. H. L., Xiang, L., et al. (2019) · Journal of Rehabilitation and Assistive Technologies Engineering · doi:10.1177/2055668319881583 · Cited by 5
PNF- based Gait Rehabilitation-training after a Total Hip Arthroplasty in congenital pelvic malformation; A case report
Smedes, F., Heidmann, M., & Keogh, J. (2021) · Physiotherapy Theory and Practice · doi:10.1080/09593985.2021.1955422 · Cited by 5
Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation
Wang, W., Hou, Z., Shi, W., Liang, X., Ren, S., Wang, J., & Peng, L. (2019) · Lecture notes in computer science · doi:10.1007/978-3-030-36711-4_50 · Cited by 5
Voluntary initiation of movement: multifunctional integration of subjective agency
Grüneberg, P., Kadone, H., & Suzuki, K. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00688 · Cited by 5
Rehabilitation Technologies for Cerebral Palsy
Gaebler-Spira, D. J., Peri, E., Lunardini, F., Sánchez-Santed, F., Duff, M., Ballasiotes, M. K., & Raya, R. (2015) · Biosystems & biorobotics · doi:10.1007/978-3-319-24901-8_4 · Cited by 5
Towards an Upper-limb Exoskeleton System for Assistance in Activities of Daily Living (ADLs)
Latt, W. T., Luu, T. P., Kuah, C. W. K., & Tech, A. W. (2014) · International Convention on Rehabilitation Engineering & Assistive Technology · Cited by 5
Rehabilitation for hemiplegia using an upper limb training system based on a force direction
Ogata, K., Hirabayashi, Y., Kubota, K., Hasegawa, Y., & Tsuji, T. (2017) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr.2017.8009303 · Cited by 5
Hierarchical Bayesian estimation of motor-evoked potential recruitment curves yields accurate and robust estimates
Tyagi, V., Murray, L. M., Asan, A. S., Mandigo, C. E., Virk, M. S., Harel, N. Y., Carmel, J. B., & McIntosh, J. R. (2025) · Brain stimulation · doi:10.1016/j.brs.2025.09.008 · Cited by 4
Vibration-Induced Illusory Movement Task Can Induce Functional Recovery in Patients With Subacute Stroke
Yukawa, Y., Higashi, T., Minakuchi, M., Naito, E., & Murata, T. (2024) · Cureus · doi:10.7759/cureus.66667 · Cited by 4
Portable sEMG-Controlled Hand Electrical Stimulation System
Huang, H., Zhang, S., Chen, Y., Liu, S., Chen, Z., Cai, Y., Huang, L., & Xie, L. (2024) · IEEE Sensors Journal · doi:10.1109/jsen.2024.3506788 · Cited by 4
A compact motorized end-effector for ankle rehabilitation training
Wu, R., Luo, M., Fan, J., Ma, J., Zhang, N., Li, J., Li, Q., Gao, F., & Guo, D. (2024) · Frontiers in Robotics and AI · doi:10.3389/frobt.2024.1453097 · Cited by 4
Spinal and cortical activity-dependent plasticity following learning of complex arm movements in humans
Winkler, T., Mergner, B., Szecsi, J., Bender, A., & Straube, A. M. (2012) · Experimental Brain Research · doi:10.1007/s00221-012-3086-8 · Cited by 4
Motor imagery after stroke: where next?
Sharma, N. (2012) · Imaging in Medicine · doi:10.2217/iim.11.77 · Cited by 4
Brain-Machine Interfaces for Assistance and Rehabilitation of People with Reduced Mobility
Hortal, E. (2018) · Springer theses · doi:10.1007/978-3-319-95705-0 · Cited by 4
Low cost hand orthotic device to improve hand function of stroke patients
Megalingam, R. K., Baburaj, A. M., Mattathil, A., Hari, A., Sreekanthan, K., & Koppaka, G. S. A. (2019) · Technology and Disability · doi:10.3233/tad-180197 · Cited by 4
The Real Time Motion Pattern Recognition of Lower Limb Based on sEMG signals
Wang, X., Yang, S., Cao, Y., Ding, Y., & Zhang, Z. (2020) · IEEE International Conference on Information Technology, Big Data and Artificial Intelligence (ICIBA) · doi:10.1109/iciba50161.2020.9277504 · Cited by 4
Neurorehabilitation with the Use of an Arm Exoskeleton Controlled via Brain–Computer Interface: Implemented Interdisciplinary Project
Biryukova, Е. V., & Бобров, П. Д. (2021) · Human Physiology · doi:10.1134/s036211972107001x · Cited by 4
Ankle dorsiflexion training with a newly developed Hybrid Assistive Limb for a patient with foot drop caused by common peroneal nerve palsy: a case report
Matsuda, D., Kubota, S., Akinaga, Y., Yasunaga, Y., Sankai, Y., & Yamazaki, M. (2022) · Journal of Physical Therapy Science · doi:10.1589/jpts.34.410 · Cited by 4
Effects of different exercise intensities on motor skill learning capability and process
Wang, F., Jiang, Y., & Hou, L. (2022) · Science & Sports · doi:10.1016/j.scispo.2021.09.006 · Cited by 4
Dynamic motor practice improves movement accuracy, force control and leads to increased corticospinal excitability compared to isometric motor practice
Stolpe, M. N., Bjørndal, J. R., Nielsen, A. L., Wiegel, P., & Lundbye‐Jensen, J. (2023) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1019729 · Cited by 4

Authors: Lotze, M.
Affiliations: University of Tübingen (DE)
Corresponding author: Lotze, M.
ORCID: Lotze, M.
Venue: Brain
Publisher: Oxford University Press (OUP)
Published: 2003-04-01
Volume: 126
Issue: 4
Pages: 866-872
ISSN: 0006-8950 (ISSN-L)
1460-2156
DOI: 10.1093/brain/awg079
OpenAlex: W2138983889
Cited by: 691
References: 32
Citations by year: 2026: 15 · 2025: 24 · 2024: 25 · 2023: 26 · 2022: 49 · 2021: 27 · 2020: 37 · 2019: 44 · 2018: 47 · 2017: 37 · 2016: 39 · 2015: 38 · 2014: 42 · 2013: 28 · 2012: 32
FWCI: 7.35
Type: journal article
Language: en
Open access: closed
Locations: Brain (publishedVersion)
PubMed (publishedVersion)
Iris (University of Trento) (submittedVersion)
Funders: Deutsche Forschungsgemeinschaft
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
Keywords: motor learning, primary motor cortex, motor cortex excitability, cortical reorganization, wrist flexion and extension, intracortical facilitation, neurorehabilitation, motor performance improvement
MeSH terms: Adult, Female, Humans, Learning, Magnetic Resonance Imaging, Male, Motivation, Motor Cortex, Motor Skills, Movement, Wrist, Torque

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

Motor learning elicited by voluntary drive

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Citations

Cites

Cited by

Related

Metadata

Record

About these checks