Increased gait variability during robot-assisted walking is accompanied by increased sensorimotor brain activity in healthy people
暂无分享,去创建一个
Wolfgang I. Schöllhorn | Fabian Horst | Michael Doppelmayr | Fabian Steinberg | M. Doppelmayr | W. Schöllhorn | A. Berger | F. Steinberg | F. Thomas | Fabian Horst | Claudia Müller-Eising | Alisa Berger | Fabian Thomas | Claudia Müller-Eising | F. Horst
[1] I. Schwartz,et al. Robot-assisted gait training in multiple sclerosis patients: a randomized trial , 2012, Multiple sclerosis.
[2] I. Tarkka,et al. Asymmetry in walking performance and postural sway in patients with chronic unilateral cerebral infarction. , 1995, Journal of rehabilitation research and development.
[3] N. A. Bernshteĭn. The co-ordination and regulation of movements , 1967 .
[4] Valer Jurcak,et al. 10/20, 10/10, and 10/5 systems revisited: Their validity as relative head-surface-based positioning systems , 2007, NeuroImage.
[5] Ho Jun Lee,et al. Robot-assisted gait training (Lokomat) improves walking function and activity in people with spinal cord injury: a systematic review , 2017, Journal of NeuroEngineering and Rehabilitation.
[6] Lucas H V van der Woude,et al. Differences in muscle activity and temporal step parameters between Lokomat guided walking and treadmill walking in post-stroke hemiparetic patients and healthy walkers , 2017, Journal of NeuroEngineering and Rehabilitation.
[7] Joseph H Friedman,et al. Reduction of freezing of gait in Parkinson's disease by repetitive robot-assisted treadmill training: a pilot study , 2010, Journal of NeuroEngineering and Rehabilitation.
[8] Jacques Duysens,et al. Cortical control of normal gait and precision stepping: An fNIRS study , 2014, NeuroImage.
[9] William Z Rymer,et al. Reducing robotic guidance during robot-assisted gait training improves gait function: a case report on a stroke survivor. , 2013, Archives of physical medicine and rehabilitation.
[10] B. Conway,et al. The motor cortex drives the muscles during walking in human subjects , 2012, The Journal of physiology.
[11] Caterina Pesce,et al. Health and Quality of Life Perception in Older Adults: The Joint Role of Cognitive Efficiency and Functional Mobility , 2015, International journal of environmental research and public health.
[12] G M Earhart,et al. Which measures of physical function and motor impairment best predict quality of life in Parkinson's disease? , 2011, Parkinsonism & related disorders.
[13] M. Lewek,et al. Allowing Intralimb Kinematic Variability During Locomotor Training Poststroke Improves Kinematic Consistency: A Subgroup Analysis From a Randomized Clinical Trial , 2009, Physical Therapy.
[14] M. Doppelmayr,et al. Current State and Future Prospects of EEG and fNIRS in Robot-Assisted Gait Rehabilitation: A Brief Review , 2019, Front. Hum. Neurosci..
[15] Cecilia Fagerström,et al. Mobility, functional ability and health-related quality of life among people of 60 years or older , 2010, Aging clinical and experimental research.
[16] D. Edwards,et al. Gait training in human spinal cord injury using electromechanical systems: effect of device type and patient characteristics. , 2012, Archives of physical medicine and rehabilitation.
[17] Reinhold Scherer,et al. EEG beta suppression and low gamma modulation are different elements of human upright walking , 2014, Front. Hum. Neurosci..
[18] N. Paker,et al. Lokomat: a therapeutic chance for patients with chronic hemiplegia. , 2014, NeuroRehabilitation.
[19] Dario Farina,et al. Effects of robotic guidance on the coordination of locomotion , 2013, Journal of NeuroEngineering and Rehabilitation.
[20] F. Müller,et al. Effects of Locomotion Training With Assistance of a Robot-Driven Gait Orthosis in Hemiparetic Patients After Stroke: A Randomized Controlled Pilot Study , 2007, Stroke.
[21] N. Stergiou,et al. Optimal Movement Variability: A New Theoretical Perspective for Neurologic Physical Therapy , 2006, Journal of neurologic physical therapy : JNPT.
[22] Dennis Hamacher,et al. Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks , 2017, Neurophotonics.
[23] F. Zajac,et al. Gait differences between individuals with post-stroke hemiparesis and non-disabled controls at matched speeds. , 2005, Gait & posture.
[24] Marco Ferrari,et al. Functional Near-Infrared Spectroscopy (fNIRS) for Assessing Cerebral Cortex Function During Human Behavior in Natural/Social Situations: A Concise Review , 2019 .
[25] Robert Riener,et al. Control strategies for active lower extremity prosthetics and orthotics: a review , 2015, Journal of NeuroEngineering and Rehabilitation.
[26] R. Lipton,et al. Epidemiology of Gait Disorders in Community‐Residing Older Adults , 2006, Journal of the American Geriatrics Society.
[27] A. Villringer,et al. Beyond the Visible—Imaging the Human Brain with Light , 2003, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.
[28] Meg E Morris,et al. Determinants of health-related quality of life in Parkinson's disease: a systematic review. , 2011, Parkinsonism & related disorders.
[29] Rob den Otter,et al. The combined effects of guidance force, bodyweight support and gait speed on muscle activity during able-bodied walking in the Lokomat. , 2016, Clinical biomechanics.
[30] Ichiro Miyai,et al. Prefrontal and premotor cortices are involved in adapting walking and running speed on the treadmill: an optical imaging study , 2004, NeuroImage.
[31] Sabrina Brigadoi,et al. Unleashing the future potential of functional near-infrared spectroscopy in brain sciences , 2014, Journal of Neuroscience Methods.
[32] Peter Desain,et al. Feasibility of measuring event Related Desynchronization with electroencephalography during walking , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[33] Daniel Hamacher,et al. Brain activity during walking: A systematic review , 2015, Neuroscience & Biobehavioral Reviews.
[34] Bernhard Elsner,et al. Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. , 2018, The Cochrane database of systematic reviews.
[35] Hellmuth Obrig,et al. Individual alpha-frequency correlates with amplitude of visual evoked potential and hemodynamic response , 2008, NeuroImage.
[36] J. Hidler,et al. Multicenter Randomized Clinical Trial Evaluating the Effectiveness of the Lokomat in Subacute Stroke , 2009, Neurorehabilitation and neural repair.
[37] B. Nigg,et al. Asymmetries in ground reaction force patterns in normal human gait. , 1989, Medicine and science in sports and exercise.
[38] Joseph Hidler,et al. Abnormal joint torque patterns exhibited by chronic stroke subjects while walking with a prescribed physiological gait pattern , 2008, Journal of NeuroEngineering and Rehabilitation.
[39] Joseph Hidler,et al. Limb Alignment and Kinematics Inside a Lokomat Robotic Orthosis , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[40] Cordula Werner,et al. Electromechanical-assisted training for walking after stroke. , 2017, The Cochrane database of systematic reviews.
[41] I. Schwartz,et al. Locomotor training using a robotic device in patients with subacute spinal cord injury , 2011, Spinal Cord.
[42] Thomas Brandt,et al. Real versus imagined locomotion: A [18F]-FDG PET-fMRI comparison , 2010, NeuroImage.
[43] R. Riener,et al. Path Control: A Method for Patient-Cooperative Robot-Aided Gait Rehabilitation , 2010, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[44] S. Stuart,et al. fNIRS response during walking — Artefact or cortical activity? A systematic review , 2017, Neuroscience & Biobehavioral Reviews.
[45] Chia-Feng Lu,et al. Novel gait training alters functional brain connectivity during walking in chronic stroke patients: a randomized controlled pilot trial , 2019, Journal of NeuroEngineering and Rehabilitation.
[46] B. Dobkin,et al. Modulation of locomotor-like EMG activity in subjects with complete and incomplete spinal cord injury. , 1995, Journal of neurologic rehabilitation.
[47] T. Hornby,et al. Metabolic Costs and Muscle Activity Patterns During Robotic- and Therapist-Assisted Treadmill Walking in Individuals With Incomplete Spinal Cord Injury , 2006, Physical Therapy.
[48] Deog-Young Kim,et al. Plantar Pressure Distribution During Robotic-Assisted Gait in Post-stroke Hemiplegic Patients , 2014, Annals of rehabilitation medicine.
[49] Alessia Bramanti,et al. Robotic gait rehabilitation and substitution devices in neurological disorders: where are we now? , 2016, Neurological Sciences.
[50] C. Neuper,et al. Robot Assisted Walking Affects the Synchrony Between Premotor and Somatosensory Areas , 2013, Biomedizinische Technik. Biomedical engineering.
[51] C. Neuper,et al. It's how you get there: walking down a virtual alley activates premotor and parietal areas , 2014, Front. Hum. Neurosci..
[52] Niels Birbaumer,et al. Neurophysiology of Robot-Mediated Training and Therapy: A Perspective for Future Use in Clinical Populations , 2013, Front. Neurol..
[53] F. Fregni,et al. T107. Using Functional near Infrared Spectroscopy (fNIRS) to assess brain activity of spinal cord injury patient, during robot-assisted gait , 2018, Clinical Neurophysiology.
[54] J. Millán,et al. Neurotechnology-aided interventions for upper limb motor rehabilitation in severe chronic stroke , 2019, Brain : a journal of neurology.
[55] Hyung-Soon Park,et al. Prefrontal, posterior parietal and sensorimotor network activity underlying speed control during walking , 2015, Front. Hum. Neurosci..
[56] Eun Joo Kim,et al. Best facilitated cortical activation during different stepping, treadmill, and robot-assisted walking training paradigms and speeds: A functional near-infrared spectroscopy neuroimaging study. , 2016, NeuroRehabilitation.
[57] K. Kubota,et al. Cortical Mapping of Gait in Humans: A Near-Infrared Spectroscopic Topography Study , 2001, NeuroImage.
[58] Tabea Aurich-Schuler,et al. The FreeD module for the Lokomat facilitates a physiological movement pattern in healthy people – a proof of concept study , 2019, Journal of NeuroEngineering and Rehabilitation.
[59] D. Lefeber,et al. Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking? , 2015, PloS one.
[60] J. Nielsen. How we Walk: Central Control of Muscle Activity during Human Walking , 2003, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[61] J. Hidler,et al. Alterations in muscle activation patterns during robotic-assisted walking. , 2005, Clinical biomechanics.
[62] Joseph Hidler,et al. Kinematic trajectories while walking within the Lokomat robotic gait-orthosis. , 2008, Clinical biomechanics.
[63] G. J. Thomas. The Co-ordination and Regulation of Movements , 1967 .
[64] A. Lo,et al. Improving Gait in Multiple Sclerosis Using Robot-Assisted, Body Weight Supported Treadmill Training , 2008, Neurorehabilitation and neural repair.
[65] V. Dietz,et al. Treadmill training of paraplegic patients using a robotic orthosis. , 2000, Journal of rehabilitation research and development.
[66] Alessia Bramanti,et al. What does best evidence tell us about robotic gait rehabilitation in stroke patients: A systematic review and meta-analysis , 2018, Journal of Clinical Neuroscience.
[67] V. Dietz,et al. Effectiveness of automated locomotor training in patients with chronic incomplete spinal cord injury: a multicenter trial. , 2005, Archives of physical medicine and rehabilitation.
[68] Jeffrey M. Hausdorff. Gait dynamics, fractals and falls: finding meaning in the stride-to-stride fluctuations of human walking. , 2007, Human movement science.
[69] B. Conway,et al. A portable gait assessment tool to record temporal gait parameters in SCI. , 2011, Medical engineering & physics.
[70] Timothy D. Lee,et al. Motor Control and Learning: A Behavioral Emphasis , 1982 .
[71] R. C. Oldfield. The assessment and analysis of handedness: the Edinburgh inventory. , 1971, Neuropsychologia.
[72] Robert Riener,et al. Locomotor training in subjects with sensori-motor deficits: An overview of the robotic gait orthosis lokomat , 2010 .
[73] R. Riener,et al. Patient-cooperative strategies for robot-aided treadmill training: first experimental results , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[74] Harry L. Graber,et al. nirsLAB: A Computing Environment for fNIRS Neuroimaging Data Analysis , 2014 .
[75] C. Chisari,et al. The effects of robot-assisted gait training in progressive multiple sclerosis: A randomized controlled trial , 2016, Multiple sclerosis.
[76] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[77] Nicola Smania,et al. Robot-Assisted Gait Training in Patients With Parkinson Disease , 2012, Neurorehabilitation and neural repair.
[78] Robert Riener,et al. Patient-cooperative control increases active participation of individuals with SCI during robot-aided gait training , 2010, Journal of NeuroEngineering and Rehabilitation.
[79] S. Beer,et al. Robot-assisted gait training in multiple sclerosis: a pilot randomized trial , 2008, Multiple sclerosis.
[80] R. Müller,et al. Leg surface electromyography patterns in children with neuro-orthopedic disorders walking on a treadmill unassisted and assisted by a robot with and without encouragement , 2012, Journal of NeuroEngineering and Rehabilitation.
[81] V. L. Nickel,et al. Gait parameters following stroke: a practical assessment. , 1995, Journal of rehabilitation research and development.
[82] Jonathan B Dingwell,et al. Adaptability of stride-to-stride control of stepping movements in human walking. , 2016, Journal of biomechanics.
[83] Vahab Youssofzadeh,et al. Directed neural connectivity changes in robot-assisted gait training: A partial Granger causality analysis , 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[84] Alberto Esquenazi,et al. A Randomized Comparative Study of Manually Assisted Versus Robotic‐Assisted Body Weight Supported Treadmill Training in Persons With a Traumatic Brain Injury , 2013, PM & R : the journal of injury, function, and rehabilitation.
[85] S. Stuart,et al. Reduced Gait Variability and Enhanced Brain Activity in Older Adults With Auditory Cues: A Functional Near-Infrared Spectroscopy Study , 2018, Neurorehabilitation and neural repair.
[86] Tabea Aurich-Schuler,et al. An Increase in Kinematic Freedom in the Lokomat Is Related to the Ability to Elicit a Physiological Muscle Activity Pattern: A Secondary Data Analysis Investigating Differences Between Guidance Force, Path Control, and FreeD , 2019, Front. Robot. AI.
[87] Christa Neuper,et al. Level of participation in robotic-assisted treadmill walking modulates midline sensorimotor EEG rhythms in able-bodied subjects , 2012, NeuroImage.
[88] Titianova Eb,et al. Asymmetry in walking performance and postural sway in patients with chronic unilateral cerebral infarction. , 1995 .
[89] Kushang V Patel,et al. Predicting late-life disability and death by the rate of decline in physical performance measures. , 2012, Age and ageing.
[90] D. Winter. Kinematic and kinetic patterns in human gait: Variability and compensating effects , 1984 .
[91] M. Ferrari,et al. Principles, techniques, and limitations of near infrared spectroscopy. , 2004, Canadian journal of applied physiology = Revue canadienne de physiologie appliquee.
[92] Gernot R. Müller-Putz,et al. High and low gamma EEG oscillations in central sensorimotor areas are conversely modulated during the human gait cycle , 2015, NeuroImage.
[93] T. Platz,et al. Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke. , 2015, The Cochrane database of systematic reviews.
[94] P. London. Injury , 1969, Definitions.
[95] Dario Farina,et al. Motor modules in robot-aided walking , 2012, Journal of NeuroEngineering and Rehabilitation.
[96] D. Delpy,et al. Methods of quantitating cerebral near infrared spectroscopy data. , 1988, Advances in experimental medicine and biology.
[97] H Hatze,et al. Motion variability--its definition, quantification, and origin. , 1986, Journal of motor behavior.
[98] David A. Boas,et al. A Quantitative Comparison of Simultaneous BOLD fMRI and NIRS Recordings during Functional Brain Activation , 2002, NeuroImage.
[99] Subashan Perera,et al. Improvements in Speed-Based Gait Classifications Are Meaningful , 2007, Stroke.
[100] S. Fantini,et al. Comment on the modified Beer-Lambert law for scattering media. , 2004, Physics in medicine and biology.
[101] R. C. Macridis. A review , 1963 .
[102] R. Calabró,et al. Shaping neuroplasticity by using powered exoskeletons in patients with stroke: a randomized clinical trial , 2018, Journal of NeuroEngineering and Rehabilitation.