Validating attentive locomotion training using interactive treadmill: an fNIRS study

BackgroundExisting treadmill-based locomotion training, which has been used for gait function recovery, still has limitations, such as less attentive training. Interactive treadmills (ITMs) were developed to overcome these limitations, but it has not yet been verified that ITMs can make the user pay closer attention to walk training.MethodsAn experimental comparison between ITMs and conventional treadmills was conducted by measuring the level of the user’s attention using functional near-infrared spectroscopy (fNIRS). To consider the effect of task complexity on the subject’s attention, we provided two (slow and fast) speed conditions for walking on both treadmills.ResultsBoth the cortical activity images and oxygenated hemoglobin (oxyHb) changes showed that the level of attention to walking induced by the ITM was significantly higher than that induced by the conventional treadmill. We found that the walking speed on the ITM also affected the level of attention.ConclusionITM-based locomotion training would be a promising solution to the limitations of existing treadmill-based locomotion training currently used to improve gait function recovery.Trial registrationDGIST-HR-150309-03-02. Registered 01 March 2015.

[1]  C. Im,et al.  Assessment of user voluntary engagement during neurorehabilitation using functional near-infrared spectroscopy: a preliminary study , 2018, Journal of NeuroEngineering and Rehabilitation.

[2]  Tony W. Wilson,et al.  Stride-time variability and sensorimotor cortical activation during walking , 2012, NeuroImage.

[3]  Gérard Dray,et al.  Prefrontal cortex activity during motor tasks with additional mental load requiring attentional demand: A near-infrared spectroscopy study , 2013, Neuroscience Research.

[4]  Jill M. Landry,et al.  Locomotor adaptation to resistance during treadmill training transfers to overground walking in human SCI , 2012, Experimental Brain Research.

[5]  Jeffrey M. Hausdorff,et al.  The role of executive function and attention in gait , 2008, Movement disorders : official journal of the Movement Disorder Society.

[6]  Antonio Cerasa,et al.  Near-Infrared Spectroscopy in Gait Disorders: Is It Time to Begin? , 2017, Neurorehabilitation and neural repair.

[7]  Sungho Tak,et al.  NIRS-SPM: Statistical parametric mapping for near-infrared spectroscopy , 2009, NeuroImage.

[8]  Jonghyun Kim,et al.  An Ambulatory Gait Monitoring System with Activity Classification and Gait Parameter Calculation Based on a Single Foot Inertial Sensor , 2018, IEEE Transactions on Biomedical Engineering.

[9]  Hyung-Soon Park,et al.  An Interactive Treadmill Under a Novel Control Scheme for Simulating Overground Walking by Reducing Anomalous Force , 2015, IEEE/ASME Transactions on Mechatronics.

[10]  Jeannette R. Mahoney,et al.  fNIRS study of walking and walking while talking in young and old individuals. , 2011, The journals of gerontology. Series A, Biological sciences and medical sciences.

[11]  H. Jasper Report of the committee on methods of clinical examination in electroencephalography , 1958 .

[12]  Dennis Hamacher,et al.  Functional near-infrared spectroscopy in movement science: a systematic review on cortical activity in postural and walking tasks , 2017, Neurophotonics.

[13]  B. Dobkin,et al.  The Evolution of Walking-Related Outcomes Over the First 12 Weeks of Rehabilitation for Incomplete Traumatic Spinal Cord Injury: The Multicenter Randomized Spinal Cord Injury Locomotor Trial , 2007, Neurorehabilitation and neural repair.

[14]  H. Barbeau,et al.  Description and application of a system for locomotor rehabilitation , 1987, Medical and Biological Engineering and Computing.

[15]  A. Bastian,et al.  Thinking about walking: effects of conscious correction versus distraction on locomotor adaptation. , 2010, Journal of neurophysiology.

[16]  Sarah F Tyson,et al.  Assistive walking devices in nonambulant patients undergoing rehabilitation after stroke: the effects on functional mobility, walking impairments, and patients' opinion. , 2009, Archives of physical medicine and rehabilitation.

[17]  H. Jasper,et al.  The ten-twenty electrode system of the International Federation. The International Federation of Clinical Neurophysiology. , 1999, Electroencephalography and clinical neurophysiology. Supplement.

[18]  Noman Naseer,et al.  fNIRS-based Neurorobotic Interface for gait rehabilitation , 2018, Journal of NeuroEngineering and Rehabilitation.

[19]  Evangelos A Christou,et al.  Enhanced somatosensory feedback reduces prefrontal cortical activity during walking in older adults. , 2014, The journals of gerontology. Series A, Biological sciences and medical sciences.

[20]  W. Prinz,et al.  Directing attention to movement effects enhances learning: A review , 2001, Psychonomic bulletin & review.

[21]  J Feasel,et al.  The Integrated Virtual Environment Rehabilitation Treadmill System , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[22]  Jeffrey M. Hausdorff,et al.  Virtual reality for gait training: can it induce motor learning to enhance complex walking and reduce fall risk in patients with Parkinson's disease? , 2011, The journals of gerontology. Series A, Biological sciences and medical sciences.

[23]  J. Hidler,et al.  Biomechanics of overground vs. treadmill walking in healthy individuals. , 2008, Journal of applied physiology.

[24]  Martin Wolf,et al.  A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.

[25]  Jacques Duysens,et al.  Cortical control of normal gait and precision stepping: An fNIRS study , 2014, NeuroImage.

[26]  Ichiro Miyai,et al.  Gait capacity affects cortical activation patterns related to speed control in the elderly , 2009, Experimental Brain Research.

[27]  Daniel Hamacher,et al.  Brain activity during walking: A systematic review , 2015, Neuroscience & Biobehavioral Reviews.

[28]  J. Mehrholz,et al.  Speed-Dependent Treadmill Training in Ambulatory Hemiparetic Stroke Patients: A Randomized Controlled Trial , 2002, Stroke.

[29]  C. Shea,et al.  The automaticity of complex motor skill learning as a function of attentional focus , 2001, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[30]  Guang-Zhong Yang,et al.  Assessment of the cerebral cortex during motor task behaviours in adults: A systematic review of functional near infrared spectroscopy (fNIRS) studies , 2011, NeuroImage.

[31]  A. Minetti,et al.  A feedback-controlled treadmill (treadmill-on-demand) and the spontaneous speed of walking and running in humans. , 2003, Journal of applied physiology.

[32]  Nir Giladi,et al.  Increased frontal brain activation during walking while dual tasking: an fNIRS study in healthy young adults , 2014, Journal of NeuroEngineering and Rehabilitation.

[33]  Héloïse Bleton,et al.  Cognitive tasks during walking affect cerebral blood flow signal features in middle cerebral arteries and their correlation to gait characteristics , 2015, Behavioral and Brain Functions.

[34]  Serene S Paul,et al.  Is automaticity of walking regained after stroke? , 2006, Disability and rehabilitation.

[35]  Jake J. Abbott,et al.  Kinesthetic Force Feedback and Belt Control for the Treadport Locomotion Interface , 2015, IEEE Transactions on Haptics.

[36]  Brad Manor,et al.  Executive Network Activation is Linked to Walking Speed in Older Adults: Functional MRI and TCD Ultrasound Evidence From the MOBILIZE Boston Study , 2017, The journals of gerontology. Series A, Biological sciences and medical sciences.

[37]  Hiroki Sato,et al.  Task-related oxygenation and cerebral blood volume changes estimated from NIRS signals in motor and cognitive tasks , 2014, NeuroImage.

[38]  Hyung-Soon Park,et al.  Commercial Motion Sensor Based Low-Cost and Convenient Interactive Treadmill , 2015, Sensors.

[39]  Theodore Huppert,et al.  Functional near-infrared spectroscopy (fNIRS) of brain function during active balancing using a video game system. , 2012, Gait & posture.

[40]  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.

[41]  Martin Wolf,et al.  Task complexity relates to activation of cortical motor areas during uni- and bimanual performance: A functional NIRS study , 2009, NeuroImage.

[42]  Theodore J Huppert,et al.  Neuroimaging of an attention demanding dual-task during dynamic postural control. , 2017, Gait & posture.

[43]  Mark B. Neider,et al.  Prefrontal Cortex Activity During Walking While Multitasking , 2013 .

[44]  Sungho Tak,et al.  Quantitative Analysis of Hemodynamic and Metabolic Changes in Subcortical Vascular Dementia Using Simultaneous Near-infrared Spectroscopy and Fmri Measurements , 2022 .

[45]  Chia-Feng Lu,et al.  Maintaining Gait Performance by Cortical Activation during Dual-Task Interference: A Functional Near-Infrared Spectroscopy Study , 2015, PloS one.

[46]  U. Croce,et al.  A kinematic and kinetic comparison of overground and treadmill walking in healthy subjects. , 2007, Gait & posture.

[47]  Hyung-Soon Park,et al.  A user-driven treadmill control scheme for simulating overground locomotion , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[48]  David A. Boas,et al.  Factors affecting the accuracy of near-infrared spectroscopy concentration calculations for focal changes in oxygenation parameters , 2003, NeuroImage.

[49]  R. Magill Motor learning and control : concepts and applications , 2004 .

[50]  Matthew R. Scherer,et al.  Gait rehabilitation with body weight-supported treadmill training for a blast injury survivor with traumatic brain injury , 2007, Brain injury.

[51]  R Krupička,et al.  P 024 - Near-infrared spectroscopy patterns of cortical activity during gait in Parkinson's disease patients treated with DBS STN. , 2018, Gait & posture.

[52]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[53]  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.

[54]  Theodore Huppert,et al.  Measurement of brain activation during an upright stepping reaction task using functional near‐infrared spectroscopy , 2013, Human brain mapping.

[55]  John M. Hollerbach,et al.  Inertial-Force Feedback for the Treadport Locomotion Interface , 2000, Presence: Teleoperators & Virtual Environments.

[56]  P. Arenth,et al.  Applications of Functional Near-Infrared Spectroscopy (fNIRS) to Neurorehabilitation of Cognitive Disabilities , 2007, The Clinical neuropsychologist.

[57]  Hyung-Soon Park,et al.  Prefrontal, posterior parietal and sensorimotor network activity underlying speed control during walking , 2015, Front. Hum. Neurosci..

[58]  정진욱,et al.  Statistical parametric mapping for near infrared spectroscopy using general linear model , 2007 .

[59]  K. Kubota,et al.  Cortical Mapping of Gait in Humans: A Near-Infrared Spectroscopic Topography Study , 2001, NeuroImage.