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Decoding and cortical source localization for intended movement direction with MEG

Wang, W and Sudre, GP and Xu, Y and Kass, RE and Collinger, JL and Degenhart, AD and Bagic, AI and Weber, DJ (2010) Decoding and cortical source localization for intended movement direction with MEG. Journal of Neurophysiology, 104 (5). 2451 - 2461. ISSN 0022-3077

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Abstract

Magnetoencephalography (MEG) enables a noninvasive interface with the brain that is potentially capable of providing movement-related information similar to that obtained using more invasive neural recording techniques. Previous studies have shown that movement direction can be decoded from multichannel MEG signals recorded in humans performing wrist movements. We studied whether this information can be extracted without overt movement of the subject, because the targeted users of brain-controlled interface (BCI) technology are those with severe motor disabilities. The objectives of this study were twofold: 1) to decode intended movement direction from MEG signals recorded during the planning period before movement onset and during imagined movement and 2) to localize cortical sources modulated by intended movement direction. Ten able-bodied subjects performed both overt and imagined wrist movement while their cortical activities were recorded using a whole head MEG system. The intended movement direction was decoded using linear discriminant analysis and a Bayesian classifier. Minimum current estimation (MCE) in combination with a bootstrapping procedure enabled source-space statistical analysis, which showed that the contralateral motor cortical area was significantly modulated by intended movement direction, and this modulation was the strongest ∼100 ms before the onset of overt movement. These results suggest that it is possible to study cortical representation of specific movement information using MEG, and such studies may aid in presurgical localization of optimal sites for implanting electrodes for BCI systems. Copyright © 2010 The American Physiological Society.


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Details

Item Type: Article
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Wang, Wwangwei3@pitt.eduWANGWEI3
Sudre, GP
Xu, Y
Kass, RE
Collinger, JLcollinger@pitt.eduCOLLINGR
Degenhart, ADalan.degenhart@pitt.eduADD19
Bagic, AIaib6@pitt.eduAIB6
Weber, DJdougweber@pitt.eduDJW500000-0002-9782-3497
Centers: Other Centers, Institutes, or Units > Human Engineering Research Laboratories
Date: 1 November 2010
Date Type: Publication
Journal or Publication Title: Journal of Neurophysiology
Volume: 104
Number: 5
Page Range: 2451 - 2461
DOI or Unique Handle: 10.1152/jn.00239.2010
Schools and Programs: Swanson School of Engineering > Bioengineering
School of Health and Rehabilitation Sciences > Rehabilitation Science and Technology
Refereed: Yes
ISSN: 0022-3077
MeSH Headings: Adult; Analysis of Variance; Brain Mapping; Female; Functional Laterality--physiology; Humans; Imagination--physiology; Magnetoencephalography; Male; Middle Aged; Motor Cortex--physiology; Movement--physiology; Signal Processing, Computer-Assisted
Other ID: NLM PMC2997025
PubMed Central ID: PMC2997025
PubMed ID: 20739599
Date Deposited: 28 Jan 2013 15:18
Last Modified: 12 Sep 2019 12:55
URI: http://d-scholarship.pitt.edu/id/eprint/17147

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