Literature DB >> 24211817

Targeted reinforcement of neural oscillatory activity with real-time neuroimaging feedback.

Esther Florin1, Elizabeth Bock1, Sylvain Baillet2.   

Abstract

Biofeedback and brain-computer interfacing using EEG has been receiving continuous and increasing interest. However, the limited spatial resolution of low-density scalp recordings is a roadblock to the unequivocal monitoring and targeting of neuroanatomical regions and physiological signaling. This latter aspect is pivotal to the actual efficiency of neurofeedback procedures, which are expected to engage the modulation of well-identified components of neural activity within and between predetermined brain regions. Our group has previously contributed to demonstrate the principles of real-time magnetoencephalography (MEG) source imaging. Here we show how the technique was further developed to provide healthy subjects with region-specific neurofeedback to modulate successfully predetermined components of their brain activity in targeted brain regions. Overall, our results positively indicate that neurofeedback based on time-resolved MEG imaging has the potential to become an innovative therapeutic approach in neurology and neuropsychiatry.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biofeedback; MEG; Neural oscillations; Neurofeedback

Mesh:

Year:  2013        PMID: 24211817     DOI: 10.1016/j.neuroimage.2013.10.028

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  16 in total

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9.  Source-based neurofeedback methods using EEG recordings: training altered brain activity in a functional brain source derived from blind source separation.

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Review 10.  Brain computer interface learning for systems based on electrocorticography and intracortical microelectrode arrays.

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