Literature DB >> 25570401

User-driven control increases cortical activity during treadmill walking: an EEG study.

Thomas C Bulea, Diane L Damiano, Christopher J Stanley.   

Abstract

Treadmills provide a safe and efficient method for gait rehabilitation but treadmill based training paradigms have not been shown to create superior results when compared with traditional physical therapy methods such as overground training. One explanation for this may be that walking at a constant, fixed speed requires little mental engagement from the user, which has been postulated as a key factor in the success of motor learning. To increase mental engagement, we developed a user-driven treadmill control scheme. In this paper we use electroencephalography (EEG) to compare cortical activity during user-driven (active) walking with activity on a normal (passive) treadmill in nine healthy subjects. We used independent component analysis (ICA) to isolate brain activity from artifactual components. We fit equivalent dipole sources to each brain component and clustered these across subjects. Our analysis revealed that relative to the passive treadmill, active walking resulted in statistically significant decreases in spectral power, i.e. desynchronization, in the anterior cingulate, sensorimotor cortices, and posterior parietal lobe of the cortex. These results indicate that user-driven treadmills more fully engage the motor cortex and therefore could facilitate better training outcomes than a traditional treadmill.

Entities:  

Mesh:

Year:  2014        PMID: 25570401      PMCID: PMC4933838          DOI: 10.1109/EMBC.2014.6944033

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  19 in total

Review 1.  Event-related EEG/MEG synchronization and desynchronization: basic principles.

Authors:  G Pfurtscheller; F H Lopes da Silva
Journal:  Clin Neurophysiol       Date:  1999-11       Impact factor: 3.708

2.  Motor learning elicited by voluntary drive.

Authors:  Martin Lotze; Christoph Braun; Niels Birbaumer; Silke Anders; Leonardo G Cohen
Journal:  Brain       Date:  2003-04       Impact factor: 13.501

3.  Removal of movement artifact from high-density EEG recorded during walking and running.

Authors:  Joseph T Gwin; Klaus Gramann; Scott Makeig; Daniel P Ferris
Journal:  J Neurophysiol       Date:  2010-04-21       Impact factor: 2.714

4.  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.

Authors:  B Dobkin; H Barbeau; D Deforge; J Ditunno; R Elashoff; D Apple; M Basso; A Behrman; S Harkema; M Saulino; M Scott
Journal:  Neurorehabil Neural Repair       Date:  2007 Jan-Feb       Impact factor: 3.919

5.  Gamma-range corticomuscular coherence during dynamic force output.

Authors:  Wolfgang Omlor; Luis Patino; Marie-Claude Hepp-Reymond; Rumyana Kristeva
Journal:  Neuroimage       Date:  2006-12-19       Impact factor: 6.556

6.  Event-related beta EEG-changes during passive and attempted foot movements in paraplegic patients.

Authors:  Gernot R Müller-Putz; Doris Zimmermann; Bernhard Graimann; Kurt Nestinger; Gerd Korisek; Gert Pfurtscheller
Journal:  Brain Res       Date:  2006-12-22       Impact factor: 3.252

7.  Anterior cingulate activity during error and autonomic response.

Authors:  Hugo D Critchley; Joey Tang; Daniel Glaser; Brian Butterworth; Raymond J Dolan
Journal:  Neuroimage       Date:  2005-10-01       Impact factor: 6.556

8.  A user-driven treadmill control scheme for simulating overground locomotion.

Authors:  Jonghyun Kim; Christopher J Stanley; Lindsey A Curatalo; Hyung-Soon Park
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2012

9.  Validating the boundary element method for forward and inverse EEG computations in the presence of a hole in the skull.

Authors:  Robert Oostenveld; Thom F Oostendorp
Journal:  Hum Brain Mapp       Date:  2002-11       Impact factor: 5.038

10.  Independent EEG sources are dipolar.

Authors:  Arnaud Delorme; Jason Palmer; Julie Onton; Robert Oostenveld; Scott Makeig
Journal:  PLoS One       Date:  2012-02-15       Impact factor: 3.240

View more
  10 in total

1.  Task-Specific and Functional Effects of Speed-Focused Elliptical or Motor-Assisted Cycle Training in Children With Bilateral Cerebral Palsy: Randomized Clinical Trial.

Authors:  Diane L Damiano; Christopher J Stanley; Laurie Ohlrich; Katharine E Alter
Journal:  Neurorehabil Neural Repair       Date:  2017-07-08       Impact factor: 3.919

2.  Dynamic stability during increased walking speeds is related to balance confidence of older adults: a pilot study.

Authors:  Jutaluk Kongsuk; David A Brown; Christopher P Hurt
Journal:  Gait Posture       Date:  2019-07-04       Impact factor: 2.840

3.  Adaptive treadmill control can be manipulated to increase propulsive impulse while maintaining walking speed.

Authors:  Kayla M Pariser; Margo C Donlin; Kaitlyn E Downer; Jill S Higginson
Journal:  J Biomech       Date:  2022-01-28       Impact factor: 2.712

4.  Walking speed changes in response to novel user-driven treadmill control.

Authors:  Nicole T Ray; Brian A Knarr; Jill S Higginson
Journal:  J Biomech       Date:  2018-07-29       Impact factor: 2.712

5.  Speed-related but not detrended gait variability increases with more sensitive self-paced treadmill controllers at multiple slopes.

Authors:  Cesar R Castano; Helen J Huang
Journal:  PLoS One       Date:  2021-05-07       Impact factor: 3.240

6.  Human-Robot Interaction: Does Robotic Guidance Force Affect Gait-Related Brain Dynamics during Robot-Assisted Treadmill Walking?

Authors:  Kristel Knaepen; Andreas Mierau; Eva Swinnen; Helio Fernandez Tellez; Marc Michielsen; Eric Kerckhofs; Dirk Lefeber; Romain Meeusen
Journal:  PLoS One       Date:  2015-10-20       Impact factor: 3.240

7.  Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking.

Authors:  Trieu Phat Luu; Sho Nakagome; Yongtian He; Jose L Contreras-Vidal
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

8.  Estimation of Human Workload from the Auditory Steady-State Response Recorded via a Wearable Electroencephalography System during Walking.

Authors:  Yusuke Yokota; Shingo Tanaka; Akihiro Miyamoto; Yasushi Naruse
Journal:  Front Hum Neurosci       Date:  2017-06-13       Impact factor: 3.169

9.  Deployment of Mobile EEG Technology in an Art Museum Setting: Evaluation of Signal Quality and Usability.

Authors:  Jesus G Cruz-Garza; Justin A Brantley; Sho Nakagome; Kimberly Kontson; Murad Megjhani; Dario Robleto; Jose L Contreras-Vidal
Journal:  Front Hum Neurosci       Date:  2017-11-10       Impact factor: 3.169

Review 10.  Categorisation of Mobile EEG: A Researcher's Perspective.

Authors:  Anthony D Bateson; Heidi A Baseler; Kevin S Paulson; Fayyaz Ahmed; Aziz U R Asghar
Journal:  Biomed Res Int       Date:  2017-12-04       Impact factor: 3.411

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.