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EEG-based local brain activity feedback training-tomographic neurofeedback.

Herbert Bauer1, Avni Pllana1

  • 1Faculty of Psychology, Social, Cognitive and Affective Neuroscience Unit (SCAN-Unit), University of Vienna Vienna, Austria.

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|January 8, 2015
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Summary
This summary is machine-generated.

Local brain activity (LBA) neurofeedback (NF) offers targeted training by exclusively using EEG sources within a specific region. This method showed significant improvements in linguistic areas and localized brain activity in preliminary studies.

Keywords:
EEG-based local brain activity (LBA-) feedback trainingneurofeedback (NF)rtfMRI neurofeedbacksLORETAtomographic neurofeedback (tNF)

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Biomedical Engineering

Background:

  • Development of distributed EEG source modeling methods has enabled new neurofeedback (NF) approaches.
  • Local Brain Activity (LBA) neurofeedback (NF) is an emerging technique utilizing EEG source localization.
  • Existing methods like LORETA and sLORETA have been explored for NF applications.

Purpose of the Study:

  • To report on the specific EEG-based LBA-feedback training developed by Bauer et al. (2011).
  • To highlight the advantage of LBA-feedback in controlling feedback exclusively by EEG sources within a defined region of training (ROT).
  • To present preliminary results from studies investigating the efficacy of LBA-feedback.

Main Methods:

  • EEG-based LBA-feedback training focusing on a selected cortical Region of Training (ROT).
  • Feedback is contingent on EEG-generating sources within the ROT, excluding nearby sources.
  • Comparison between experimental groups and sham feedback controls.
  • fMRI was used to document effects on Anterior Cingulate Cortex (ACC) and Dorso-Lateral Prefrontal Cortex (DLPFC).

Main Results:

  • Experimental subjects significantly increased feedback rates compared to controls in a linguistic task (U-test, p < 0.01).
  • Preliminary fMRI results indicate more localized ACC activity after successful LBA-feedback training.
  • The method successfully excluded the influence of sources outside the designated ROT.

Conclusions:

  • EEG-based LBA-feedback training demonstrates potential for targeted brain activity modulation.
  • The method's specificity in controlling feedback based on localized sources offers an advantage.
  • Further research, including fMRI, supports the potential of LBA-feedback for clinical applications.