Literature DB >> 21623009

Early detection of hand movements from electroencephalograms for stroke therapy applications.

A Muralidharan1, J Chae, D M Taylor.   

Abstract

Movement-assist devices such as neuromuscular stimulation systems can be used to generate movements in people with chronic hand paralysis due to stroke. If detectable, motor planning activity in the cortex could be used in real time to trigger a movement-assist device and restore a person's ability to perform many of the activities of daily living. Additionally, re-coupling motor planning in the cortex with assisted movement generation in the periphery may provide an even greater benefit-strengthening relevant synaptic connections over time to promote natural motor recovery. This study examined the potential for using electroencephalograms (EEGs) as a means of rapidly detecting the intent to open the hand during movement planning in individuals with moderate chronic hand paralysis following a subcortical ischemic stroke. On average, attempts to open the hand could be detected from EEGs approximately 100-500 ms prior to the first signs of movement onset. This earlier detection would minimize device activation delays and allow for tighter coupling between initial formation of the motor plan in the cortex and augmentation of that plan in the periphery by a movement-assist device. This tight temporal coupling may be important or even essential for strengthening synaptic connections and enhancing natural motor recovery.

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Year:  2011        PMID: 21623009      PMCID: PMC3148608          DOI: 10.1088/1741-2560/8/4/046003

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  26 in total

1.  Robot training enhanced motor outcome in patients with stroke maintained over 3 years.

Authors:  B T Volpe; H I Krebs; N Hogan; L Edelsteinn; C M Diels; M L Aisen
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5.  Stable Hebbian learning from spike timing-dependent plasticity.

Authors:  M C van Rossum; G Q Bi; G G Turrigiano
Journal:  J Neurosci       Date:  2000-12-01       Impact factor: 6.167

Review 6.  Strategies for stroke rehabilitation.

Authors:  Bruce H Dobkin
Journal:  Lancet Neurol       Date:  2004-09       Impact factor: 44.182

7.  Electrical stimulation driving functional improvements and cortical changes in subjects with stroke.

Authors:  Teresa J Kimberley; Scott M Lewis; Edward J Auerbach; Lisa L Dorsey; Jeanne M Lojovich; James R Carey
Journal:  Exp Brain Res       Date:  2003-11-15       Impact factor: 1.972

Review 8.  The fugl-meyer assessment of motor recovery after stroke: a critical review of its measurement properties.

Authors:  David J Gladstone; Cynthia J Danells; Sandra E Black
Journal:  Neurorehabil Neural Repair       Date:  2002-09       Impact factor: 3.919

9.  Robot-assisted arm trainer for the passive and active practice of bilateral forearm and wrist movements in hemiparetic subjects.

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10.  Applying a brain-computer interface to support motor imagery practice in people with stroke for upper limb recovery: a feasibility study.

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  6 in total

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Authors:  Meel Velliste; Scott D Kennedy; Andrew B Schwartz; Andrew S Whitford; Jeong-Woo Sohn; Angus J C McMorland
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2.  Decoding continuous limb movements from high-density epidural electrode arrays using custom spatial filters.

Authors:  A R Marathe; D M Taylor
Journal:  J Neural Eng       Date:  2013-04-23       Impact factor: 5.379

3.  Decoding onset and direction of movements using Electrocorticographic (ECoG) signals in humans.

Authors:  Zuoguan Wang; Aysegul Gunduz; Peter Brunner; Anthony L Ritaccio; Qiang Ji; Gerwin Schalk
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4.  Prediction of movement intention using connectivity within motor-related network: An electrocorticography study.

Authors:  Byeong Keun Kang; June Sic Kim; Seokyun Ryun; Chun Kee Chung
Journal:  PLoS One       Date:  2018-01-24       Impact factor: 3.240

Review 5.  Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review.

Authors:  Ahad Behboodi; Walker A Lee; Victoria S Hinchberger; Diane L Damiano
Journal:  J Neuroeng Rehabil       Date:  2022-09-28       Impact factor: 5.208

6.  Design and Optimization of an EEG-Based Brain Machine Interface (BMI) to an Upper-Limb Exoskeleton for Stroke Survivors.

Authors:  Nikunj A Bhagat; Anusha Venkatakrishnan; Berdakh Abibullaev; Edward J Artz; Nuray Yozbatiran; Amy A Blank; James French; Christof Karmonik; Robert G Grossman; Marcia K O'Malley; Gerard E Francisco; Jose L Contreras-Vidal
Journal:  Front Neurosci       Date:  2016-03-31       Impact factor: 4.677

  6 in total

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