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Publication . Article . 2017

Upper limb movements can be decoded from the time-domain of low-frequency EEG.

Patrick Ofner; Andreas Schwarz; Joana Pereira; Gernot Müller-Putz;
Open Access
English
Published: 01 Jan 2017 Journal: PLoS ONE, volume 12, issue 8 (issn: 1932-6203, Copyright policy )
Publisher: Public Library of Science (PLoS)
Abstract

How neural correlates of movements are represented in the human brain is of ongoing interest and has been researched with invasive and non-invasive methods. In this study, we analyzed the encoding of single upper limb movements in the time-domain of low-frequency electroencephalography (EEG) signals. Fifteen healthy subjects executed and imagined six different sustained upper limb movements. We classified these six movements and a rest class and obtained significant average classification accuracies of 55% (movement vs movement) and 87% (movement vs rest) for executed movements, and 27% and 73%, respectively, for imagined movements. Furthermore, we analyzed the classifier patterns in the source space and located the brain areas conveying discriminative movement information. The classifier patterns indicate that mainly premotor areas, primary motor cortex, somatosensory cortex and posterior parietal cortex convey discriminative movement information. The decoding of single upper limb movements is specially interesting in the context of a more natural non-invasive control of e.g., a motor neuroprosthesis or a robotic arm in highly motor disabled persons.

Subjects by Vocabulary

Library of Congress Subject Headings: lcsh:Medicine lcsh:R lcsh:Science lcsh:Q

Microsoft Academic Graph classification: Physical medicine and rehabilitation medicine.medical_specialty medicine Psychology Brain–computer interface Neuroprosthetics Human brain medicine.anatomical_structure Posterior parietal cortex Somatosensory system Primary motor cortex Motor cortex Electroencephalography medicine.diagnostic_test

Subjects

Research Article, Research and Analysis Methods, Bioassays and Physiological Analysis, Electrophysiological Techniques, Brain Electrophysiology, Electroencephalography, Biology and Life Sciences, Physiology, Electrophysiology, Neurophysiology, Medicine and Health Sciences, Neuroscience, Brain Mapping, Clinical Medicine, Clinical Neurophysiology, Imaging Techniques, Neuroimaging, Anatomy, Musculoskeletal System, Limbs (Anatomy), Arms, Forearms, Hands, Elbow, Engineering and Technology, Human Factors Engineering, Man-Computer Interface, Mechanical Engineering, Robotics, Multidisciplinary

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Funded by
EC| MoreGrasp
Project
MoreGrasp
Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities
  • Funder: European Commission (EC)
  • Project Code: 643955
  • Funding stream: H2020 | RIA
Validated by funder
,
EC| Feel your Reach
Project
Feel your Reach
Non-invasive decoding of cortical patterns induced by goal directed movement intentions and artificial sensory feedback in humans
  • Funder: European Commission (EC)
  • Project Code: 681231
  • Funding stream: H2020 | ERC | ERC-COG
Validated by funder
,
EC| MoreGrasp
Project
MoreGrasp
Restoration of upper limb function in individuals with high spinal cord injury by multimodal neuroprostheses for interaction in daily activities
  • Funder: European Commission (EC)
  • Project Code: 643955
  • Funding stream: H2020 | RIA
Validated by funder
,
EC| Feel your Reach
Project
Feel your Reach
Non-invasive decoding of cortical patterns induced by goal directed movement intentions and artificial sensory feedback in humans
  • Funder: European Commission (EC)
  • Project Code: 681231
  • Funding stream: H2020 | ERC | ERC-COG
Validated by funder
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